WMS This is a description of your Web Map Server. WFS WMS GEOSERVER

NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html text/javascript application/json XML INIMAGE BLANK JSON JSONP This is a description of your Web Map Server. EPSG:4326 EPSG:3785 EPSG:3857 EPSG:900913 EPSG:32647 EPSG:32736 CRS:84 12.541793282119123 30.95078885965563 40.44732202231474 51.86313891037696 geonode:a__01_carpathian_ecoregion This layer consists of the layer of the Carpathian ecoregion boundary. features GIS a__01_carpathian_ecoregion 9 EPSG:3857 CRS:84 16.583081702450126 27.28570740357299 43.506518928412945 50.1105520481295 other other other other text/xml other other geonode:a__02_maramures_ecological_corridors_project_im Ecological corridors were identified in the cross-border region Maramures (Romania, Ukraine) within the project “Open borders for bears between Romanian and Ukrainian Carpathians” led by WWF Danube-Carpathian Programme Romania, Maramures Branch and supported through the Hungary-Slovakia-Romania-Ukraine Cross-border Cooperation Programme (ENPI) 2007-2013 between May 2012 and April 2014.Project: Open borders for bears between Romanian and Ukrainian Carpathians, Romania and Ukraine, 2012-2014, donor ENI HUSKROUA Cross border Cooperation Programme 2007-2014.Maramures is one of the first regions in Romania where corridors securing bear movements between core bear habitats were identified. Properly managed, the corridors are vital elements securing free movement and healthypopulation of bears. The main objective of the above mentioned project was to preserve biodiversity in Maramures (historical Romanian - Ukrainian region of the Carpathians) as a critical stepping stone for the connectivity of the Carpathian Mountains by reducing the risks of habitat fragmentation, restoring ecological corridors for bears as an umbrella species and by securing responsible use of natural resources. It covered Maramures County, Romania and Ivano-Frankivsk and Zakarpatska regions of Ukraine. Critical habitats for brown bear have been identified firstly through questionnaires, field visits and various informal meetings with members of the local communities, hunters, foresters, etc. Maps with critical habitats and corridors have been generated based on the information collected. The digital model of the field for the project implementation area was completed with the critical corridors and other relevant information from the GAP analysis. It has identified the main gaps and weaknesses in the field of management and conservation of brown bears and their habitats, which serve the basis to define the right decisions for improving the effectiveness of managing and conserving the natural resources in Maramures. The project also led to the development in a participatory framework of the management measures for the network of corridors in Maramures area (Romania and Ukraine), which are the frame for cooperation among stakeholders involved in decision makingand land use planning in the region. More information on http://assets.panda.org/downloads/wwf_factsheet_bear_project2014.pdf a__02_maramures_ecological_corridors_project_im features GIS 9 EPSG:3857 CRS:84 23.10604322990149 24.99987859150502 47.363385340794785 48.49941620358961 other other other other text/xml other other geonode:a__03_maramures_ecological_corridors_corridors Ecological corridors were identified in the cross-border region Maramures (Romania, Ukraine) within the project “Open borders for bears between Romanian and Ukrainian Carpathians” led by WWF Danube-Carpathian Programme Romania, Maramures Branch and supported through the Hungary-Slovakia-Romania-Ukraine Cross-border Cooperation Programme (ENPI) 2007-2013 between May 2012 and April 2014.Project: Open borders for bears between Romanian and Ukrainian Carpathians, Romania and Ukraine, 2012-2014, donor ENI HUSKROUA Cross border Cooperation Programme 2007-2014.Maramures is one of the first regions in Romania where corridors securing bear movements between core bear habitats were identified. Properly managed, the corridors are vital elements securing free movement and healthypopulation of bears. The main objective of the above mentioned project was to preserve biodiversity in Maramures (historical Romanian - Ukrainian region of the Carpathians) as a critical stepping stone for the connectivity of the Carpathian Mountains by reducing the risks of habitat fragmentation, restoring ecological corridors for bears as an umbrella species and by securing responsible use of natural resources. It covered Maramures County, Romania and Ivano-Frankivsk and Zakarpatska regions of Ukraine. Critical habitats for brown bear have been identified firstly through questionnaires, field visits and various informal meetings with members of the local communities, hunters, foresters, etc. Maps with critical habitats and corridors have been generated based on the information collected. The digital model of the field for the project implementation area was completed with the critical corridors and other relevant information from the GAP analysis. It has identified the main gaps and weaknesses in the field of management and conservation of brown bears and their habitats, which serve the basis to define the right decisions for improving the effectiveness of managing and conserving the natural resources in Maramures. The project also led to the development in a participatory framework of the management measures for the network of corridors in Maramures area (Romania and Ukraine), which are the frame for cooperation among stakeholders involved in decision makingand land use planning in the region. More information on http://assets.panda.org/downloads/wwf_factsheet_bear_project2014.pdf Ecological corridor a__03_maramures_ecological_corridors_corridors GIS features 9 7 EPSG:3857 CRS:84 23.236953249307366 24.868222726071565 47.567942513244226 48.440421788885835 other other other other text/xml other other geonode:a__04_official_information_from_romania_on_the_0 This layer contains the official information from Romania on the limits of application of the Carpathian Convention. a__04_official_information_from_romania_on_the_0 GIS Management features 14 9 EPSG:3857 CRS:84 21.37313944795519 26.722881393019716 44.47264543359286 48.12164048461897 other other other other text/xml other other geonode:a__05_eco_network The layer is one of the output layer from ConnectGREEN Project as a base for the map titled “Map of core areas and ecological corridors for large carnivores in the Carpathians”. The map was produced while implementing the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. It includes three main categories of elements – (1) movement / migration zones, (2) critical zones, and (3) favorable and suitable habitats. The project was implemented between June 2018 and October 2021. The data are also presented in ConnectGREEN Project story maps available here: https://storymaps.arcgis.com/stories/1db168fb6dc94463b3ffca6481bc1d7e The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) Modelling GIS features 17 a__05_eco_network 9 EPSG:3035 CRS:84 16.213758078329118 28.213824438848558 42.69027807563807 50.26775607465174 other other other other text/xml other other geonode:a__06_cerova_vrchovina_built_up_areas This layer presents built up areas in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure a__06_cerova_vrchovina_built_up_areas Ecological corridor 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 19.4708085219787 20.225933038817384 48.19998684418628 48.599097448151454 other other text/xml other other other other geonode:a__07a_cerova_vrchovina_fences This layer presents fences in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor 19 GIS Planning features 11 a__07a_cerova_vrchovina_fences 9 7 EPSG:3857 CRS:84 19.464330182068398 20.364250646904495 48.17083484434382 48.59898228081394 other other other other text/xml other other geonode:a__09_cerova_vrchovina_nonforest_areas0 This layer presents railways in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor 19 GIS a__09_cerova_vrchovina_nonforest_areas0 Planning features 11 9 7 EPSG:3857 CRS:84 19.49707228117455 20.363279286011363 48.17076164720581 48.64192533357242 other other other other text/xml other other geonode:a__10_cerova_vrchovina_railways This layer presents railways in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor a__10_cerova_vrchovina_railways 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 19.495557362279413 20.327424884670158 48.19860403400534 48.64076044018205 other other other other text/xml other other geonode:a__10_cerova_vrchovina_roads This layer presents roads in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor 19 a__10_cerova_vrchovina_roads GIS Planning features 11 9 7 EPSG:3857 CRS:84 19.464820051359137 20.35019449565147 48.17652031477796 48.64187232507212 other other other other text/xml other other geonode:a__11a_cerova_vrchovina_waterways This layer present waterways in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor 19 GIS a__11a_cerova_vrchovina_waterways Planning features 11 9 7 EPSG:3857 CRS:84 19.49667214010597 20.29985233939415 48.16932010018724 48.64016129895519 other other other other text/xml other other geonode:a__17_piatra_craliului_occurrence_data_all_faun This layer presents occurrence data for all fauna in the Piatra Craiului National Park and Bucegi Nature Park National Park Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Piatra Craiului National Part and Bucegi Nature Park National Park in Romania. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about core areas from ecological network point of view, occurrence data for large carnivores and data on barriers – built areas and fences. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrea Kurta andrea@pcrai.ro, Ionut Bordea ibordea@pcrai.ro and Oana Popescu oana_katalina2006@yahoo.com  Green infrastructure Ecological corridor 19 a__17_piatra_craliului_occurrence_data_all_faun GIS Planning features 11 9 7 EPSG:31700 CRS:84 25.1769962352206 25.369712526497697 45.41900745577086 45.57870617227879 other other other other text/xml other other geonode:a__18_piatra_craliului_built_areas This layer presents built up areas in the Piatra Craiului National Park and Bucegi Nature Park National Park Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Piatra Craiului National Part and Bucegi Nature Park National Park in Romania. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about core areas from ecological network point of view, occurrence data for large carnivores and data on barriers – built areas and fences. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrea Kurta andrea@pcrai.ro, Ionut Bordea ibordea@pcrai.ro and Oana Popescu oana_katalina2006@yahoo.com  Green infrastructure Ecological corridor 19 GIS Planning features a__18_piatra_craliului_built_areas 11 9 7 EPSG:4326 CRS:84 25.186519316200865 25.302434751897792 45.39983541904006 45.476529452208915 other other other other text/xml other other geonode:a__19_piatra_craliului_fences This layer presents fences in the Piatra Craiului National Park and Bucegi Nature Park National Park Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Piatra Craiului National Part and Bucegi Nature Park National Park in Romania. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about core areas from ecological network point of view, occurrence data for large carnivores and data on barriers – built areas and fences. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrea Kurta andrea@pcrai.ro, Ionut Bordea ibordea@pcrai.ro and Oana Popescu oana_katalina2006@yahoo.com  Green infrastructure Ecological corridor 19 GIS a__19_piatra_craliului_fences Planning features 11 9 7 EPSG:4326 CRS:84 25.1881690482284 25.3013610536701 45.3988704361702 45.4754218691093 other text/xml other other other other other geonode:a__20_piatra_craliului_core_areas This layer presents core areas in the Piatra Craiului National Park and Bucegi Nature Park National Park Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Piatra Craiului National Part and Bucegi Nature Park National Park in Romania. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about core areas from ecological network point of view, occurrence data for large carnivores and data on barriers – built areas and fences. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrea Kurta andrea@pcrai.ro, Ionut Bordea ibordea@pcrai.ro and Oana Popescu oana_katalina2006@yahoo.com  Green infrastructure Ecological corridor 19 GIS Planning features 11 a__20_piatra_craliului_core_areas 9 7 EPSG:4326 CRS:84 24.936283116368752 25.68276443920372 45.247645796401024 45.650987334773376 other other other other text/xml other other geonode:a__22_western_carpathians_built_up_areas This layer presents built up areasin the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure Ecological corridor 19 GIS Planning features a__22_western_carpathians_built_up_areas 11 9 7 EPSG:4326 CRS:84 17.81688173 19.11527712 49.02552415 49.78700372 other other other other text/xml other other geonode:a__24a_western_carpathians_waterways This layer presents waterways in the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure Ecological corridor 19 a__24a_western_carpathians_waterways GIS Planning features 11 9 7 EPSG:4326 CRS:84 17.49294536 18.48227291 49.11935694 49.63204307 other other other other other other text/xml geonode:a__26_western_carpathians_nonforest_areas This layer presents non-forest areas in the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure Ecological corridor 19 GIS Planning features a__26_western_carpathians_nonforest_areas 11 9 7 EPSG:4326 CRS:84 17.46325783 18.96056165 49.04958655 49.79281831 other other other other text/xml other other geonode:a__28_western_carpathians_roads_polyline This layer presents roads in the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure Ecological corridor 19 GIS a__28_western_carpathians_roads_polyline Planning features 11 9 7 EPSG:4326 CRS:84 17.48242974 18.78444902 49.12928157 49.78975389 other other other other text/xml other other geonode:a__29a_western_carpathians_railway This layer presents railways in the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure Ecological corridor 19 GIS a__29a_western_carpathians_railway Planning features 11 9 7 EPSG:4326 CRS:84 17.4811293 18.97397688 49.12988598 49.76744434 other other other other text/xml other other geonode:a__32_western_carpathians_fences_polyline This layer presents fences in the Western Carpathians Pilot Area. The data collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Western Carpathians in Czech Republic and Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data about road permeability, animal tracks, occurrence data about large carnivores and prey species and where the camera traps were located. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Lukas Zahorec lukas.zahorec@sopsr.sk  Green infrastructure a__32_western_carpathians_fences_polyline Ecological corridor 19 GIS Planning features 11 9 7 EPSG:4326 CRS:84 17.51593932 18.75496884 49.16392268 49.65674207 other other other other text/xml other other geonode:a__34a_apuseni_djerdap_road_permeability This layer presents road permeability in the Apuseni Mountains and South Western Carpathians and National Park Djerdap Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Apuseni Mountains and South Western Carpathians in Romania and  National Park Djerdap in Serbia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrian Grancea agrancea@wwfdcp.ro  and Cristian Remus Papp cpapp@wwf.ro Green infrastructure a__34a_apuseni_djerdap_road_permeability Ecological corridor 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.596460886141745 23.81132058364438 45.4425690340186 47.081742206278044 other other other other text/xml other other geonode:a__37_apuseni_djerdap_animal_tracks This layer presents animal tracks in the Apuseni Mountains and South Western Carpathians and National Park Djerdap Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Apuseni Mountains and South Western Carpathians in Romania and  National Park Djerdap in Serbia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrian Grancea agrancea@wwfdcp.ro  and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS Planning features a__37_apuseni_djerdap_animal_tracks 11 9 7 EPSG:4326 CRS:84 22.040633 23.739361 45.871775 47.015736 other other other other text/xml other other geonode:a__38_apuseni_djerdap_prey_species This layer presents prey species in the Apuseni Mountains and South Western Carpathians and National Park Djerdap Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Apuseni Mountains and South Western Carpathians in Romania and  National Park Djerdap in Serbia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrian Grancea agrancea@wwfdcp.ro  and Cristian Remus Papp cpapp@wwf.ro Green infrastructure a__38_apuseni_djerdap_prey_species Ecological corridor 19 GIS Planning features 11 9 7 EPSG:4326 CRS:84 21.732503000000065 23.739872000000048 45.87177500000007 47.043758000000025 other other other other text/xml other other geonode:a__39_apuseni_djerdap_carnivorous_species This layer presents carnivorous species in the Apuseni Mountains and South Western Carpathians and National Park Djerdap Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Apuseni Mountains and South Western Carpathians in Romania and  National Park Djerdap in Serbia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrian Grancea agrancea@wwfdcp.ro  and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS a__39_apuseni_djerdap_carnivorous_species Planning features 11 9 7 EPSG:4326 CRS:84 22.429539000000034 23.73936100000003 45.881511000000046 47.01004700000004 other other other other text/xml other other geonode:a__40_apuseni_djerdap_camera_traps This layer presents camera traps in the Apuseni Mountains and South Western Carpathians and National Park Djerdap Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Apuseni Mountains and South Western Carpathians in Romania and  National Park Djerdap in Serbia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Andrian Grancea agrancea@wwfdcp.ro  and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 a__40_apuseni_djerdap_camera_traps GIS Planning features 11 9 7 EPSG:4326 CRS:84 21.732503 23.736336 45.874769 47.043758 other other other other text/xml other other geonode:a__43_arad_deva_oi_index_of_existing_objects This layer presents the openness index (OI) of existing objects on linear infrastructure in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 a__43_arad_deva_oi_index_of_existing_objects GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.642863759358654 22.80790031293797 45.90865698926859 46.10937003804417 other other other other text/xml other other geonode:a__44_arad_deva_oi_index_of_protected_objects This layer presents the openness index (OI) of projected objects on the new upgraded railway in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 a__44_arad_deva_oi_index_of_protected_objects GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.549099865671938 22.957225212661683 45.865232723144274 46.16737606730873 other other other other text/xml other other geonode:a__45_arad_deva_roadkills This layer presents roadkill data were reported on the GreenWeb / RO.ADKill portal by organisations (Zarand Association, Milvus) and individuals in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS Planning features a__45_arad_deva_roadkills 11 9 7 EPSG:3857 CRS:84 22.214230289574974 23.064538011299835 45.84573100114685 46.184467123389574 other other other other text/xml other other geonode:a__46_arad_deva_roadkills_proposed_signalling This layer presents locations proposed for road signaling the danger of accidents with wildlife in traffic in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS Planning features a__46_arad_deva_roadkills_proposed_signalling 11 9 7 EPSG:3857 CRS:84 21.639804166671222 22.780565538242936 45.90560418506971 46.113117790330286 other other other other text/xml other other geonode:a__47_arad_deva_roads_permeability This layer presents permeability of roads calculated based on an original methodology developed by Zarand Association in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen   Green infrastructure Ecological corridor a__47_arad_deva_roads_permeability 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.596460886302108 23.811320583763983 45.44256903415516 47.08174220646992 other other other other text/xml other other geonode:a__48_arad_deva_deva_lugoj_motorway_permeabilit This layer presents permeability of the Lugoj-Deva motorway was calculated based on an original methodology developed by Zarand Association in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro a__48_arad_deva_deva_lugoj_motorway_permeabilit Green infrastructure Ecological corridor 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.731476028689983 22.88350080607739 45.77427614690495 45.94808902987359 other other other other text/xml other other geonode:a__49_arad_deva_railway_permeability This layer presents permeability of the existing Paulis-Deva railway was calculated based on an original methodology developed by Zarand Association in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor a__49_arad_deva_railway_permeability 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 21.514863095697145 22.87787899451914 45.90431368814905 46.16634865608127 other other other other text/xml other other geonode:a__50_arad_deva_upgraded_railway_permeability This layer presents permeability of the new upgraded Paulis-Deva railway calculated based on an original methodology developed by Zarand Association, using designed details in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS a__50_arad_deva_upgraded_railway_permeability Planning features 11 9 7 EPSG:3857 CRS:84 21.52376384068744 22.8980661017722 45.8958071523212 46.16816903585002 other other other other text/xml other other geonode:a__51_arad_deva_mures_bank_permeability This layer presents Mures bank permeability that was calculated based on an original methodology developed by Zarand Association in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS Planning features 7 11 9 a__51_arad_deva_mures_bank_permeability EPSG:3857 CRS:84 21.76512558433659 22.740396958885135 45.91821136725752 46.097374035005586 other other other other text/xml other other geonode:a__52_arad_deva_critical_zones_mortality This layer presents critical zones - mortality based on observation of clusters of road-kill locations in the Arad-Deva Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Arad-Deva area was selected because the rehabilitation of the railway between Arad and Deva is located in the Mureș River Valley, one of the most sensitive areas in terms of connectivity. Furthermore, it is an important linkage zone within one of the most important European ecological corridors between the Apuseni Mountains and the Southern Carpathians, and is already being affected by existing infrastructure and new one (the Lugoj- Deva motorway). It is not only large carnivores, key species at a regional level, which risk being affected by transport infrastructure. A whole range of mammals such as red and roe deer, wild boar, otter, beaver, wild cat etc.); birds; reptiles (Aesculapian Snake etc.); amphibians (Yellow-bellied Toad, Fire-bellied Toad, European Pond Turtle), fish, invertebrates. Their local habitats might be fragmented. Fish are particularly exposed, as the transport infrastructure is crossing their reproduction sites and refuges which are thus becoming unfit for their purpose. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/5287fcc91cf43cd73b93c05bacb45be4f04a7e04.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Radu Mot radu.mot@zarand.org and Cristian Remus Papp cpapp@wwf.ro Green infrastructure Ecological corridor 19 GIS a__52_arad_deva_critical_zones_mortality Planning features 11 9 7 EPSG:3857 CRS:84 22.24245546359984 22.780595016458985 45.90502965430249 46.019026401240325 other other other other text/xml other other geonode:a__53_beskydy_kysuce_animal_mortality This layer presents animal mortality data in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure Ecological corridor 19 GIS Planning features a__53_beskydy_kysuce_animal_mortality 11 9 7 EPSG:3857 CRS:84 18.13138100001046 19.23893477986884 49.06045472026414 49.506560000209056 other other other other text/xml other other geonode:a__54_beskydy_kysuce_phototraps This layer presents phototraps in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure 11 Ecological corridor 19 GIS Planning features a__54_beskydy_kysuce_phototraps 9 7 EPSG:3857 CRS:84 18.131220000351984 18.389231000899386 49.06783001199835 49.18299501210337 other other other other text/xml other other geonode:a__55_beskydy_kysuce_transport_infrastructure_c This layer presents transport infrastructure in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure Ecological corridor 19 GIS a__55_beskydy_kysuce_transport_infrastructure_c Planning features 11 9 7 EPSG:3857 CRS:84 17.39728972526904 18.76673158772869 49.07290210135374 49.803081366689256 other other other other text/xml other other geonode:a__56_beskydy_kysuce_bridges This layer presents bridges in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure Ecological corridor 19 GIS Planning features a__56_beskydy_kysuce_bridges 11 9 7 EPSG:3857 CRS:84 18.15592900036985 19.118861002988005 48.969912011665485 49.51160701276461 other other other other text/xml other other geonode:a__57_beskydy_kysuce_bridges_monitored_animals This layer presents monitored animals in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure Ecological corridor 19 a__57_beskydy_kysuce_bridges_monitored_animals GIS Planning features 11 9 7 EPSG:3857 CRS:84 18.15611900034065 18.58139600136391 48.969873011589705 49.22054901243976 other other other other text/xml other other geonode:a__58_beskydy_kysuce_critical_points This layer presents critical points in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure a__58_beskydy_kysuce_critical_points Ecological corridor 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 18.88326908900141 19.15989514774961 49.12548987297686 49.267575271377 other other other other text/xml other other geonode:a__59_beskydy_kysuce_critical_zones This layer presents critical zones in the Beskydy-Kysuce Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Kysuce – Beskydy Pilot Area is located on the Czech-Slovak border and is a good example of the Operation and Maintenance Stage of an infrastructure project. Once the infrastructure is built, regardless of the existence of mitigation measures to improve landscape permeability, continuous monitoring is essential. Monitoring provides information on the actual use of the passage structures by animals. It is then possible to assess if the connectivity is ensured or whether more measures need to be taken to better guarantee the safety of both people and animals. New measures might need to be introduced, either in the form of small investments such as installing warning signs or repairing fencing; or through substantial interventions like building new ecoducts. The Kysuce -Beskydy Pilot Area offers examples of both of these types of measures. This pilot area is especially known for the presence of large carnivores. There are 15 designated Sites of Community Importance (NATURA 2000 sites) for the protection of lynx, wolf and bear. This particular landscape owes its extraordinary aesthetic value to the historical coexistence humans and the mountainous ecosystem. The area is also known for its species-rich meadows and pastures, as well as its remnants of old-growth beech forests. Ecological corridors for selected specially protected large mammal species have already been identified in this area. From the connectivity perspective, there are several sections of these corridors which are crucial, and therefore it is essential to keep the transport infrastructure in these sections permeable. Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/c0745d8499be6b970c37eee444dd2acf7fc62917.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Martin Strnad martin.strnad@nature.cz and Barbara Immerova bimmerova@wwfsk.org Green infrastructure Ecological corridor 19 GIS Planning features 11 a__59_beskydy_kysuce_critical_zones 9 7 EPSG:3857 CRS:84 18.13088962155005 18.9063885479718 49.06119724360231 49.49250900555241 other other other other text/xml other other geonode:a__60_nograd_heves_observations This layer present observation points in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor 19 GIS Planning features a__60_nograd_heves_observations 11 9 7 EPSG:3857 CRS:84 19.977471756764242 20.532007456308875 47.90450070196982 48.26188098553034 other other other other text/xml other other geonode:a__61_nograd_heves_road_barriers This layer present road barriers in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  Green infrastructure Ecological corridor a__61_nograd_heves_road_barriers 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 18.970246771265344 21.060726257307525 47.65347586976583 48.16887845840998 other text/xml other other other other other geonode:a__62_nograd_heves_built_up_areas This layer present built-up areas in the Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area Pilot Area. The data had been collected within the ConnectGREEN Project that was implemented between June 2018 and October 2021. The data were collected in accordance with the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The pilot area included Bükk National Park in Hungary and Cerová vrchovina Protected Landscape Area in Slovakia. The objective of fieldwork in the pilot area was to maintain / restore ecological corridors secure a viable population of large carnivores in the Carpathians. The selected joint approach was meant to accelerate the implementation processes and put into practice much-awaited infrastructure developments that faces the risk of being delayed due to non-conformity with safety and environmental standards. In the thematic map you can find data on barriers – built-up areas, roads, railways and fences, information about observation points, waterways and non-forest areas. More information about the ConnectGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/connectgreen Contact for the pilot area is Lukas Zahorec lukas.zahorec@sopsr.sk and Gabriella Nagy gabriella.nagy@ceeweb.org  a__62_nograd_heves_built_up_areas Green infrastructure Ecological corridor 19 GIS Planning features 11 9 7 EPSG:3857 CRS:84 18.972936626364987 21.386555120173576 47.48094597742345 48.28423496167721 other other other other text/xml other other geonode:a__63_miskolc_kosice_uzghorod_monitored_living_ This layer presents monitored living species in the Miskolc-Kosice-Uzghorod Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Miskolc-Košice-Uzhgorod Pilot Area is located on the Hungarian-Slovak-Ukraine border and is an example of the Planning Stage of an infrastructure project. The site was selected due to the presence of ecological corridors, protected sites or Natura 2000 sites located along the areas that are in the transport infrastructure planning or construction phase. A particularity of this pilot area is its transnational status: the Miskolc-Košice-Uzhgorod motorway network connects three countries. Consequently, three nations need to coordinate their efforts for ensuring wildlife connectivity. Even more problematical is that the infrastructure projects are at different stages of development in each of the three countries. In Hungary, there are new motorways planned from Vásárosnamény to Beregsurány (HU-UA direction) and from Miskolc to Tornyosnémeti (HU-SK direction). In Slovakia, there is the ongoing construction of the R2 expressway from Trenčín to Košice, the D1 motorway from Košice to Vyšné Nemecké (SK – UA border), and the R4 expressway from Haniska to Kechnec (SK – HU border, towards Miskolc). Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/298ae1b604383555ac41be043aa82072766880eb.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Taras Yamelynets tyamelynets@wwf.ua, Andras Weipert weiperth@gmail.com and Barbara Immerova bimmerova@wwfsk.org   Green infrastructure Ecological corridor 19 GIS Planning features a__63_miskolc_kosice_uzghorod_monitored_living_ 11 9 7 EPSG:3857 CRS:84 19.49745555906862 20.224675005754158 48.35881667728668 48.504530566543295 other other other other text/xml other other geonode:a__65a_miskolc_kosice_uzghorod_critical_points This layer presents critical points in the Miskolc-Kosice-Uzghorod Pilot Area. The data collected within the TRANSGREEN Project that was implemented between January 2017 and June 2019. The Miskolc-Košice-Uzhgorod Pilot Area is located on the Hungarian-Slovak-Ukraine border and is an example of the Planning Stage of an infrastructure project. The site was selected due to the presence of ecological corridors, protected sites or Natura 2000 sites located along the areas that are in the transport infrastructure planning or construction phase. A particularity of this pilot area is its transnational status: the Miskolc-Košice-Uzhgorod motorway network connects three countries. Consequently, three nations need to coordinate their efforts for ensuring wildlife connectivity. Even more problematical is that the infrastructure projects are at different stages of development in each of the three countries. In Hungary, there are new motorways planned from Vásárosnamény to Beregsurány (HU-UA direction) and from Miskolc to Tornyosnémeti (HU-SK direction). In Slovakia, there is the ongoing construction of the R2 expressway from Trenčín to Košice, the D1 motorway from Košice to Vyšné Nemecké (SK – UA border), and the R4 expressway from Haniska to Kechnec (SK – HU border, towards Miskolc). Within the TRANSGREEN Project, a Catalogue of Measures for this pilot area was created and is accessible here https://www.interreg-danube.eu/uploads/media/approved_project_output/0001/35/298ae1b604383555ac41be043aa82072766880eb.pdf More information about the TRANSGREEN Project can be found on the official project website https://www.interreg-danube.eu/approved-projects/transgreen Contact for the pilot area is Taras Yamelynets tyamelynets@wwf.ua, Andras Weipert weiperth@gmail.com and Barbara Immerova bimmerova@wwfsk.org   Green infrastructure 11 Ecological corridor 19 GIS Planning features a__65a_miskolc_kosice_uzghorod_critical_points 9 7 EPSG:3857 CRS:84 19.48411922246287 22.974810903056508 48.176453797169444 48.76687456077765 other other other other text/xml other other geonode:a__66_wetlands_czech_republic The layer contains information about wetlands in the Czech Republic. Wetlands are areas where water covers the soil, or is present either at or near the surface of the soil all year long or for varying periods of time during the year, including the growing season. Water saturation (hydrology) largely determines how the soil develops and the types of plant and animal communities living in and on the soil. Wetlands may support both aquatic and terrestrial species. The prolonged presence of water creates conditions that favor the growth of specially adapted plants (hydrophytes) and promote the development of characteristic wetland (hydric) soils. The Convention on Wetlands is an intergovernmental treaty adopted on 2 February 1971 in the Iranian city of Ramsar and went into force in 1975. The official name of the treaty is „The Convention on Wetlands of International Importance especially as Waterfowl Habitat“, but it has become known as the Ramsar Convention. Nowadays the Convention has 168 (05/20124 Contracting Parties, or member States, in all parts of the world. Originally the emphasis of the treaty was upon the conservation and the wise use of wetlands primarily as an habitat for water birds. During its existence, the Convention has extended its scope of implementation to cover all aspects of wetland conservation and wise use, recognizing wetlands as ecosystems that are extremely important for biodiversity conservation and for the well-being of human communities. The most important part of the Convention is the creation of the List of Wetlands of International Importance ( the Ramsar List), with more than 2,180 wetlands. These wetlands cover more than 208 million hectares and have a status of special protection as Ramsar sites. The central Ramsar message is the need for the sustainable use of all wetlands. For more information visit the website of Carpathian Wetland Initiative at https://www.cwi.sk/index.php a__66_wetlands_czech_republic GIS features 18 9 Natural assets EPSG:3857 CRS:84 12.541793282119123 18.218610976816883 48.616564297880934 50.87640134714809 other other other other text/xml other other geonode:a__67_wetlands_hungary The layer contains information about wetlands in Hungary. Wetlands are areas where water covers the soil, or is present either at or near the surface of the soil all year long or for varying periods of time during the year, including the growing season. Water saturation (hydrology) largely determines how the soil develops and the types of plant and animal communities living in and on the soil. Wetlands may support both aquatic and terrestrial species. The prolonged presence of water creates conditions that favor the growth of specially adapted plants (hydrophytes) and promote the development of characteristic wetland (hydric) soils. The Convention on Wetlands is an intergovernmental treaty adopted on 2 February 1971 in the Iranian city of Ramsar and went into force in 1975. The official name of the treaty is „The Convention on Wetlands of International Importance especially as Waterfowl Habitat“, but it has become known as the Ramsar Convention. Nowadays the Convention has 168 (05/20124 Contracting Parties, or member States, in all parts of the world. Originally the emphasis of the treaty was upon the conservation and the wise use of wetlands primarily as an habitat for water birds. During its existence, the Convention has extended its scope of implementation to cover all aspects of wetland conservation and wise use, recognizing wetlands as ecosystems that are extremely important for biodiversity conservation and for the well-being of human communities. The most important part of the Convention is the creation of the List of Wetlands of International Importance ( the Ramsar List), with more than 2,180 wetlands. These wetlands cover more than 208 million hectares and have a status of special protection as Ramsar sites. The central Ramsar message is the need for the sustainable use of all wetlands. For more information visit the website of Carpathian Wetland Initiative at https://www.cwi.sk/index.php a__67_wetlands_hungary GIS features 18 9 Natural assets EPSG:3857 CRS:84 16.19144185403434 22.84037175144565 45.76628774500455 48.48980672619831 other other other other text/xml other other geonode:a__68_wetlands_romania The layer contains information about wetlands in Ukraine. Wetlands are areas where water covers the soil, or is present either at or near the surface of the soil all year long or for varying periods of time during the year, including the growing season. Water saturation (hydrology) largely determines how the soil develops and the types of plant and animal communities living in and on the soil. Wetlands may support both aquatic and terrestrial species. The prolonged presence of water creates conditions that favor the growth of specially adapted plants (hydrophytes) and promote the development of characteristic wetland (hydric) soils. The Convention on Wetlands is an intergovernmental treaty adopted on 2 February 1971 in the Iranian city of Ramsar and went into force in 1975. The official name of the treaty is „The Convention on Wetlands of International Importance especially as Waterfowl Habitat“, but it has become known as the Ramsar Convention. Nowadays the Convention has 168 (05/20124 Contracting Parties, or member States, in all parts of the world. Originally the emphasis of the treaty was upon the conservation and the wise use of wetlands primarily as an habitat for water birds. During its existence, the Convention has extended its scope of implementation to cover all aspects of wetland conservation and wise use, recognizing wetlands as ecosystems that are extremely important for biodiversity conservation and for the well-being of human communities. The most important part of the Convention is the creation of the List of Wetlands of International Importance ( the Ramsar List), with more than 2,180 wetlands. These wetlands cover more than 208 million hectares and have a status of special protection as Ramsar sites. The central Ramsar message is the need for the sustainable use of all wetlands. For more information visit the website of Carpathian Wetland Initiative at https://www.cwi.sk/index.php GIS a__68_wetlands_romania features 18 9 Natural assets EPSG:3857 CRS:84 21.373143281964825 25.578152909338044 44.47278148251139 47.30689084669522 other other other other text/xml other other geonode:a__69_wetlands_slovakia_elz5udj The layer contains information about wetlands in Slovakia. Wetlands are areas where water covers the soil, or is present either at or near the surface of the soil all year long or for varying periods of time during the year, including the growing season. Water saturation (hydrology) largely determines how the soil develops and the types of plant and animal communities living in and on the soil. Wetlands may support both aquatic and terrestrial species. The prolonged presence of water creates conditions that favor the growth of specially adapted plants (hydrophytes) and promote the development of characteristic wetland (hydric) soils. The Convention on Wetlands is an intergovernmental treaty adopted on 2 February 1971 in the Iranian city of Ramsar and went into force in 1975. The official name of the treaty is „The Convention on Wetlands of International Importance especially as Waterfowl Habitat“, but it has become known as the Ramsar Convention. Nowadays the Convention has 168 (05/20124 Contracting Parties, or member States, in all parts of the world. Originally the emphasis of the treaty was upon the conservation and the wise use of wetlands primarily as an habitat for water birds. During its existence, the Convention has extended its scope of implementation to cover all aspects of wetland conservation and wise use, recognizing wetlands as ecosystems that are extremely important for biodiversity conservation and for the well-being of human communities. The most important part of the Convention is the creation of the List of Wetlands of International Importance ( the Ramsar List), with more than 2,180 wetlands. These wetlands cover more than 208 million hectares and have a status of special protection as Ramsar sites. The central Ramsar message is the need for the sustainable use of all wetlands. For more information visit the website of Carpathian Wetland Initiative at https://www.cwi.sk/index.php Natural assets features GIS a__69_wetlands_slovakia_elz5udj EPSG:3857 CRS:84 16.831583359283712 22.157326427952363 47.739154176286746 49.45879924750968 other other other other other other text/xml geonode:a__70_wetlands_serbia The layer contains information about wetlands in Serbia. Wetlands are areas where water covers the soil, or is present either at or near the surface of the soil all year long or for varying periods of time during the year, including the growing season. Water saturation (hydrology) largely determines how the soil develops and the types of plant and animal communities living in and on the soil. Wetlands may support both aquatic and terrestrial species. The prolonged presence of water creates conditions that favor the growth of specially adapted plants (hydrophytes) and promote the development of characteristic wetland (hydric) soils. The Convention on Wetlands is an intergovernmental treaty adopted on 2 February 1971 in the Iranian city of Ramsar and went into force in 1975. The official name of the treaty is „The Convention on Wetlands of International Importance especially as Waterfowl Habitat“, but it has become known as the Ramsar Convention. Nowadays the Convention has 168 (05/20124 Contracting Parties, or member States, in all parts of the world. Originally the emphasis of the treaty was upon the conservation and the wise use of wetlands primarily as an habitat for water birds. During its existence, the Convention has extended its scope of implementation to cover all aspects of wetland conservation and wise use, recognizing wetlands as ecosystems that are extremely important for biodiversity conservation and for the well-being of human communities. The most important part of the Convention is the creation of the List of Wetlands of International Importance ( the Ramsar List), with more than 2,180 wetlands. These wetlands cover more than 208 million hectares and have a status of special protection as Ramsar sites. The central Ramsar message is the need for the sustainable use of all wetlands. For more information visit the website of Carpathian Wetland Initiative at https://www.cwi.sk/index.php a__70_wetlands_serbia GIS features 18 9 Natural assets EPSG:3857 CRS:84 21.60955941729258 22.724385073748955 44.39973468996235 44.71992449607624 other other other other text/xml other other geonode:a__75_old_growth_forests_carpathians This layer contains information about the old growth forests in the Carpathians. Old growth forests are some of the largest remaining areas of virgin and natural forests in Europe. Old growth forests (including those called ancient, virgin or primeval) are complex systems of seedlings, young, mature and old trees dominated by very large, imposing trees. Dead trees and decaying logs are just as important as living trees. Old growth forests are critical to life on earth. They are home to almost nine out of ten land species of plants and animals, many of them endangered --like the brown bear, wolf and lynx, and others so unique that they amaze even scientists -- like a 63-meter high fir tree recently found in Romania! Or like the standing volume of over 1500 m3 per hectare in Sinca forest, near Brasov. Old growth forests generate oxygen, lock up vast amounts of carbon and filter freshwater. Without them, we would lose our best teacher of maintaining forest surface in the context of climate change, as well as our connection to untouched nature. They also provide excellent information about the ecosystem resilience at different altitudes and climatic zones. The more widely known groups of organisms, such as mammals, birds or plants, however, constitute only a small part of the species diversity of forests. It is the very small organism that predominate, especially invertebrates and fungi. If a forest is to be home to a complex of its typical species, it must contain a variety of micro-habitats. Old growth or virgin forests are best suited to this role because they are rich in big old trees or dead wood which are often absent in commercial forests. It is known that one third of all forest species depend on the occurrence of dead wood. Many of these species are listed as endangered species. Due to this fact, a sufficient amount of dead wood in forests is increasingly considered to be the key issue in maintaining biodiversity. Further information: https://wwfeu.awsassets.panda.org/downloads/wwf_factsheet_carpathian_old_growth_forests_sep2014.pdf https://efi.int/sites/default/files/images/resilience/OLD-GROWTH%20FORESTS_28.06.21.pdf a__75_old_growth_forests_carpathians GIS features 18 9 Natural assets EPSG:3857 CRS:84 16.845053333762706 26.84250837572601 44.89867727684908 49.585480085618535 other text/xml other other other other other geonode:a__76_natura2000_special_protection_bird_areas The layer contains NATURA2000 Special Protection Bird Areas in the Carpathians. Additional tools Natura 2000: Sites - Birds Directive Under the Birds Directive Member States select the most suitable sites and designate them directly as Special Protection Areas (SPAs). These sites then automatically become part of the Natura 2000 network. The identification and delimitation of SPAs must be entirely based on scientific criteria. such as ‘1% of the population of listed vulnerable species’ or ‘wetlands of international importance for migratory waterfowl’. Member States have a margin of discretion in determining the most appropriate criteria. However, they must then fully apply those criteria in a way that ensures that all the ‘most suitable territories’, both in number and surface area, are designated. On the basis of information provided by the Member States, the European Commission determines if the designated sites are sufficient to form a coherent network for the protection of the vulnerable and migratory species. Site specific data are communicated to the Commission by using Standard Data Forms. GIS a__76_natura2000_special_protection_bird_areas features 18 9 Natural assets EPSG:3857 CRS:84 16.59339489281615 27.933338698741977 43.8220044578048 50.06082032337559 other other other other text/xml other other geonode:a__77_natura2000_special_areas_of_conservation_ The layer contains data on NATURA2000 Special Areas of Conservation. The sites in the Natura 2000 network are designated under the 'Nature Directives', i.e. the Birds and the Habitats Directives. In 1979, the Birds Directive (amended in 2009) established an EU-wide protection regime for all bird species naturally occurring in the EU. It included classification by Member States of Special Protection Areas (SPA) for 194 particularly threatened bird species and for all migratory birds. This approach was extended through the 1992 Habitats Directive, which also provided for the establishment of a representative system of legally protected areas throughout the EU. These areas are named Sites of Community Importance (SCI) and aim for the conservation of the 233 habitat types listed in Annex I of the Directive and the 900 plus species listed in Annex II. SCIs must also be designated as Special Areas of Conservation (SAC) as soon as possible and within six years at most. SPAs and SCIs/SACs together make up the Natura 2000 network. The target of both directives (specifically set out within the Habitats Directive and echoed in the Birds Directive) is to ensure the long-term sustainability of the habitats and species they have been set up to protect. The European Union (EU) is one of the Contracting Parties to the Bern Convention on the Conservation of European Wildlife and Natural Habitats. The Habitats Directive and subsequently the Natura 2000 network were set up in order to fulfil the EU's obligations to the Convention. Natura 2000 sites are therefore considered as the contribution from EU Member States to the Pan-European Emerald Network of the Bern Convention. The two networks are fully compatible and use the same methodology and information tools. Whereas Natura 2000 applies to the EU Member States, Emerald applies to the rest of Europe. GIS features a__77_natura2000_special_areas_of_conservation_ 18 9 Natural assets EPSG:3857 CRS:84 16.62294167277859 27.933386472047108 43.687687769847265 50.435948076470574 other other other other text/xml other other geonode:a__78_orographical_units This layer provides information about orographical units (about the topographic relief of mountains) in the Carpathian countries. Daphne Environmental Consulting, Slovakia, together with partner organisations developed the orographical units displayed here. The scheme was developed manually by using the digital elevation model, with some corrections in the GIS environment. The estimated geometric accuracy of the obtained geo-dataset of the orographic units corresponds approximately with a 1:100,000 map scale. They are the result of the projects “Towards an Ecological Network for the Carpathians I and II” funded by BBI Matra and DBU, and form the basis of the CCIBIS and the Red Lists of Species, Habitats and Alien Invasive Species you can find on this geoportal. a__78_orographical_units features GIS 9 EPSG:3857 CRS:84 16.5830733373382 27.285696617501372 43.506525673201494 50.11056045684171 other other other other text/xml other other geonode:a__79_other_carpathian_protected_areas_wdpa The layer contains information about other protected areas in the Carpathians according to the WDPA. The WDPA was established in 1981, but the mandate for the database dates back from 1959 when the United Nations (UN) Economic and Social Council called for a list of national parks and equivalent reserves in recognition that they 'are valuable for economic and scientific reasons and also as areas for the future preservation of fauna and flora and geologic structures in their natural state' Resolution 713 (XXVII). The first UN List of Protected Areas, as it became known, was subsequently published in 1962. Since this time there have been several decisions from the Conference of the Parties to the Convention on Biological Diversity encouraging Parties to share and update relevant information on their protected areas system with the World Database on Protected Areas. The WDPA is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPA is carried out by UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. There are monthly updates of the data which are made available online through the ProtectedPlanet website where the data is both viewable and downloadable. Data and information on the world's protected areas compiled in the WDPA are used for reporting to the Convention on Biological Diversity on progress towards reaching the Aichi Biodiversity Targets (particularly Target 11), to the UN to track progress towards the 2030 Sustainable Development Goals, to some of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) core indicators, and other international assessments and reports including the Global Biodiversity Outlook, as well as for the publication of the United Nations List of Protected Areas. Every two years, UNEP-WCMC releases the Protected Planet Report on the status of the world's protected areas and recommendations on how to meet international goals and targets. Many platforms are incorporating the WDPA to provide integrated information to diverse users, including businesses and governments, in a range of sectors including mining, oil and gas, and finance. For example, the WDPA is included in the Integrated Biodiversity Assessment Tool, an innovative decision support tool that gives users easy access to up-to-date information that allows them to identify biodiversity risks and opportunities within a project boundary. The reach of the WDPA is further enhanced in services developed by other parties, such as the Global Forest Watch and the Digital Observatory for Protected Areas, which provide decision makers with access to monitoring and alert systems that allow whole landscapes to be managed better. Together, these applications of the WDPA demonstrate the growing value and significance of the Protected Planet initiative. Contact: UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) 219 Huntingdon Road, Cambridge CB3 0DL, UK Tel: +44 1223 277314 www.unep-wcmc.org a__79_other_carpathian_protected_areas_wdpa GIS features 18 9 Natural assets EPSG:3857 CRS:84 16.694503087075695 27.355301645738425 42.63514745815461 50.1085959252816 other other other other text/xml other other geonode:a__82_old_growth_forest_romania This layer contains information about the old growth forests in Romania. Old growth forests are some of the largest remaining areas of virgin and natural forests in Europe. Old growth forests (including those called ancient, virgin or primeval) are complex systems of seedlings, young, mature and old trees dominated by very large, imposing trees. Dead trees and decaying logs are just as important as living trees. Old growth forests are critical to life on earth. They are home to almost nine out of ten land species of plants and animals, many of them endangered --like the brown bear, wolf and lynx, and others so unique that they amaze even scientists -- like a 63-meter high fir tree recently found in Romania! Or like the standing volume of over 1500 m3 per hectare in Sinca forest, near Brasov. Old growth forests generate oxygen, lock up vast amounts of carbon and filter freshwater. Without them, we would lose our best teacher of maintaining forest surface in the context of climate change, as well as our connection to untouched nature. They also provide excellent information about the ecosystem resilience at different altitudes and climatic zones. The more widely known groups of organisms, such as mammals, birds or plants, however, constitute only a small part of the species diversity of forests. It is the very small organism that predominate, especially invertebrates and fungi. If a forest is to be home to a complex of its typical species, it must contain a variety of micro-habitats. Old growth or virgin forests are best suited to this role because they are rich in big old trees or dead wood which are often absent in commercial forests. It is known that one third of all forest species depend on the occurrence of dead wood. Many of these species are listed as endangered species. Due to this fact, a sufficient amount of dead wood in forests is increasingly considered to be the key issue in maintaining biodiversity. Further information: https://wwfeu.awsassets.panda.org/downloads/wwf_factsheet_carpathian_old_growth_forests_sep2014.pdf https://efi.int/sites/default/files/images/resilience/OLD-GROWTH%20FORESTS_28.06.21.pdf GIS a__82_old_growth_forest_romania features 18 9 Natural assets EPSG:3857 CRS:84 23.616335812945106 26.293295081052058 45.43951654425679 47.936618746556434 other other other other text/xml other other geonode:apuseni_corridors_top25 Top 25% most connected patches: current, future, and stable for brown bear habitat in Apuseni Natural Park. features apuseni_corridors_top25 EPSG:32634 CRS:84 22.555916588806753 23.085725905238064 46.44512103208029 46.7535744860397 other other other other text/xml other other geonode:apuseni_corridors_top5 Top 5% most connected patches: current, future, and stable for brown bear habitat in Apuseni Natural Park. features apuseni_corridors_top5 EPSG:32634 CRS:84 22.580442038432093 23.08553608114784 46.45594601993543 46.748317456743244 other other other other text/xml other other geonode:at1_barriere Mapping of  other barriers within the functional monitoring approach of the project SaveGreen 7 Ecological corridor features at1_barriere EPSG:3035 CRS:84 13.616158812873989 13.768822201435638 48.16579870511264 48.22189105648334 other other other other text/xml other other geonode:at1_ecologicalcorridorsegment Ecological corridor segments from PA Poettsching for the functional monitoring approach of the project SaveGreen at1_ecologicalcorridorsegment Ecological corridor features 7 EPSG:3035 CRS:84 13.18050621081176 14.275112161873 47.8059090339643 48.58771216457769 other other other other text/xml other other geonode:at1_monitoringdevice Monitoring devices PA AT1: Kobernausser forest (AT)  for the functional monitoring approach of the project SaveGreen at1_monitoringdevice Ecological corridor features 7 EPSG:3035 CRS:84 13.620417582016426 13.782757497916851 48.16239964206014 48.220527474515656 other other other other text/xml other other geonode:at1_monitoringsite Monitoring sites in PA AT1: Kobernausser forest (AT) for the functional monitoring approach of the project SaveGreen at1_monitoringsite Ecological corridor features 7 EPSG:3035 CRS:84 13.619367662157272 13.784698096590034 48.16107336590909 48.222042085064096 other other other other text/xml other other geonode:at1_otheractivitysign Mapping of  other spatial activity sign within the functional monitoring approach of the project SaveGreen features Ecological corridor at1_otheractivitysign 7 EPSG:3035 CRS:84 13.616227178949641 13.78486995776886 48.1622931022851 48.21921388848584 other other other other text/xml other other geonode:at1_otherspatialcomment Mapping of  other spatial comments within the functional monitoring approach of the project SaveGreen features Ecological corridor at1_otherspatialcomment 7 EPSG:3035 CRS:84 13.620682887244675 13.782451572852946 48.162491496080946 48.22056062814895 other other other other text/xml other other geonode:at1_overpass Mapping of overpasses within the functional monitoring approach of the project SaveGreen at1_overpass Ecological corridor features 7 EPSG:3035 CRS:84 13.755228254466198 13.75525643906911 48.17821676108555 48.17823564437038 other other other other text/xml other other geonode:at1_pilotarea No abstract provided features at1_pilotarea EPSG:3035 CRS:84 13.180049819120859 14.291165851148167 47.801615030952064 48.59973376959633 other other other other text/xml other other geonode:at1_track Mapping of tracks within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 at1_track EPSG:3035 CRS:84 13.616267199895237 13.784060364304079 48.16244095647749 48.22071696292428 other other other other text/xml other other geonode:at1_unterpass Mapping of underpasses within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 at1_unterpass EPSG:3035 CRS:84 13.62311885267217 13.77962486577427 48.17767988397085 48.21448726138978 other other other other text/xml other other geonode:barriere Mapping of barrieres within the functional monitoring approach of the project SaveGreen features barriere EPSG:3035 CRS:84 16.35694703698412 16.59535678956093 47.76613379614862 47.85466535522348 other other other other text/xml other other geonode:bear_future_corridor_top5 Top 5% most connected patches: current, future, and stable for brown bear habitat in Apuseni Natural Park. bear_future_corridor_top5 WCS GeoTIFF EPSG:32634 CRS:84 22.535976877418246 23.085725905238064 46.44512103208029 46.753846895673014 other other other other text/xml other other geonode:bear_future_norm Model output of habitat suitability analysis of brown bear in Apuseni Natural Park, considering the future scenario of climatic variables. Circuit flow output, conducted in circuitscape:  Shah,V.B. and B.H. McRae. 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). bear_future_norm WCS GeoTIFF EPSG:32634 CRS:84 22.535976877418246 23.085725905238064 46.44512103208029 46.753846895673014 other other other other text/xml other other geonode:bear_present_norm Model output of habitat suitability analysis of brown bear in Apuseni Natural Park, considering the present scenario of climatic variables. Circuit flow output, conducted in circuitscape:  Shah,V.B. and B.H. McRae. 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). bear_present_norm WCS GeoTIFF EPSG:32634 CRS:84 22.535976877418246 23.085725905238064 46.44512103208029 46.753846895673014 other other other other text/xml other other geonode:bg_ecologicalcorridorsegment Ecological corridor segments from PA Poettsching for the functional monitoring approach of the project SaveGreen Ecological corridor features 7 bg_ecologicalcorridorsegment EPSG:3035 CRS:84 22.865353279673553 23.41354309158426 42.124093833468294 42.521645840206126 other other other other text/xml other other geonode:bg_monitoringdevice Monitoring devices placed in PA Poettsching for the functional monitoring approach of the project SaveGreen bg_monitoringdevice Ecological corridor features 7 EPSG:3035 CRS:84 23.102216893132574 23.11273183777654 42.3610144308711 42.37771366947524 other other other other text/xml other other geonode:bg_monitoringsite Monitoring sites in PA BG1:Rila for the functional monitoring approach of the project SaveGreen 7 Ecological corridor features bg_monitoringsite EPSG:3035 CRS:84 23.065948357994746 23.120126959882548 42.24498154646236 42.382146365606154 other other other other text/xml other other geonode:bg_otheractivitysign Mapping of other activity signs within the functional monitoring approach of the project SaveGreen. features bg_otheractivitysign EPSG:3035 CRS:84 23.073611885663578 23.110056697743868 42.254511353542824 42.37699375954632 other other other other text/xml other other geonode:bg_otherspatialcomment Mapping of  other spatial comments within the functional monitoring approach of the project SaveGreen bg_otherspatialcomment Ecological corridor features 7 EPSG:3035 CRS:84 23.0915018558286 23.11279924015889 42.31457884026486 42.3773028661499 other other other other text/xml other other geonode:bg_overpass Mapping of overpasses within the functional monitoring approach of the project SaveGreen. features bg_overpass EPSG:3035 CRS:84 23.113069010280075 23.11309686171737 42.376812543905004 42.37683343262825 other other other other text/xml other other geonode:bg_pilotarea Boarder pilot area BU1: PA Rila-Verila-Kraishte Corridor bg_pilotarea Ecological corridor features 7 EPSG:3035 CRS:84 22.800307605144575 23.41854077576008 42.09880084805764 42.53691942880587 other other other other text/xml other other geonode:bg_pointlandscapeelemement Mapping of point landscape elements  within the functional monitoring approach of the project SaveGreen. features bg_pointlandscapeelemement EPSG:3035 CRS:84 23.103565394626717 23.103593242500455 42.37455413555455 42.374575022493154 other other other other text/xml other other geonode:bg_track Mapping of tracks within the functional monitoring approach of the project SaveGreen features bg_track EPSG:3035 CRS:84 23.076705484576014 23.11214564368128 42.253907107831154 42.37512381183417 other other other other text/xml other other geonode:bg_underpass Mapping of underpasses within he functional monitoring approach of the project SaveGreen features bg_underpass EPSG:3035 CRS:84 23.07700772638604 23.11347955087799 42.253985281964006 42.38252832245316 other other other other text/xml other other geonode:carp_lc_bears The layer includes the data for species occurrence for bear collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) Modelling GIS features 17 carp_lc_bears 9 EPSG:3035 CRS:84 17.05267896438721 26.852934507777956 44.083254399143264 49.885998246607805 other other other other text/xml other other geonode:carp_lc_wolves The layer includes the data for species occurrence for wolf collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) Modelling GIS features 17 carp_lc_wolves 9 EPSG:3035 CRS:84 17.3135697411668 27.610026275855958 43.884608230700394 49.93064933489377 other other other other text/xml other other geonode:cz1_barriere Mapping of barriers within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features cz1_barriere EPSG:3035 CRS:84 17.440784692228313 18.12643428982097 48.97231874267553 49.35773816457887 other other other other text/xml other other geonode:cz1_build_up_area Mapping of build up areas within the functional monitoring approach of the project SaveGreen. cz1_build_up_area Ecological corridor features 7 EPSG:4326 CRS:84 17.46526602 17.46771278 48.5673623 48.57026302 other other other other text/xml other other geonode:cz1_cirtical_area Mapping of critical areas within the functional monitoring approach of the project SaveGreen.   Ecological corridor features 7 cz1_cirtical_area EPSG:3035 CRS:84 17.444520961603097 17.912186246627662 48.51222183491402 48.843274916816696 other other other other text/xml other other geonode:cz1_corridor_area_sansz Corridors in PA CZ-SK: Beskydy-Kysuce CZ-SK cross-border area cz1_corridor_area_sansz Ecological corridor features 7 EPSG:3035 CRS:84 17.376675700027555 18.017817728924012 48.466866542286645 48.886568417000134 other other other other text/xml other other geonode:cz1_critical_site No abstract provided features cz1_critical_site EPSG:3035 CRS:84 17.444520961603097 17.912186246627662 48.51222183491402 48.843274916816696 other other other other text/xml other other geonode:cz1_directspeciesobservation Mapping of direct species distribution within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 cz1_directspeciesobservation EPSG:3035 CRS:84 17.307717208186247 17.951226058295532 48.83343732056706 49.199539193625476 other other other other text/xml other other geonode:cz1_fences Mapping of fences within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 cz1_fences EPSG:4326 CRS:84 17.81051151 17.81513755 48.7348976 48.73854075 other other other other text/xml other other geonode:cz1_non_forest_area No abstract provided cz1_non_forest_area features EPSG:4326 CRS:84 17.503701286884905 17.895754460999626 48.65245460959261 48.84123058532333 other other other other text/xml other other geonode:cz1_otheractivitsign Mapping of other activity signs within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 cz1_otheractivitsign EPSG:3035 CRS:84 18.0594780495614 19.09629597108106 49.09822167258568 49.61763595447548 other other other other text/xml other other geonode:cz1_otheractivitysign Mapping of other activity signs within the functional monitoring approach of the project SaveGreen. cz1_otheractivitysign Ecological corridor features 7 EPSG:3035 CRS:84 18.126975034204158 18.127840730438688 49.183023719191574 49.183201844204426 other other other other text/xml other other geonode:cz1_pilotarea Pilot area CZ-SK: Beskydy-Kysuce CZ-SK cross-border area features Ecological corridor cz1_pilotarea 7 EPSG:3035 CRS:84 17.213311118357144 19.30884852005123 48.50043776472892 49.88493076291585 other other other other text/xml other other geonode:cz1_railway Railways in PA CZ-SK: Beskydy-Kysuce CZ-SK cross-border area cz1_railway Ecological corridor features 7 EPSG:4326 CRS:84 17.44777123 17.83500042 48.54200351 48.83967072 other other other other text/xml other other geonode:cz1_roadkill Mapping of  roadkills within the functional monitoring approach of the project SaveGreen. cz1_roadkill Ecological corridor features 7 EPSG:3035 CRS:84 16.805617434363967 17.40741730824001 48.85348184855834 49.10250936229446 other other other other text/xml other other geonode:cz1_roads No abstract provided cz1_roads features EPSG:4326 CRS:84 17.449658337961978 17.882849362308264 48.54109115863014 48.83962782616328 other other other other text/xml other other geonode:cz1_tracks Mapping of tracks within the functional monitoring approach of the project SaveGreen. cz1_tracks Ecological corridor features 7 EPSG:3035 CRS:84 17.214666516315447 18.126362050560083 48.817419939661285 49.241916649228536 other other other other other text/xml other geonode:cz1_underpasses Mapping of underpasses within the functional monitoring approach of the project SaveGreen. cz1_underpasses Ecological corridor features 7 EPSG:3035 CRS:84 17.79350038935562 17.7935304027602 48.968416514590395 48.968436289318454 other other other other text/xml other other geonode:cz1_waterarea Water areas of PA  CZ-SK: Beskydy-Kysuce CZ-SK cross-border area 7 Ecological corridor features cz1_waterarea EPSG:4326 CRS:84 17.84564048 17.8680705 48.71363277 48.74070299 other other other text/xml other other other geonode:cz_roads features cz_roads EPSG:4326 CRS:84 17.449658337961978 17.882849362308264 48.54109115863014 48.83962782616328 other other other other text/xml other other geonode:ecologicalcorridorsegment Ecological corridor segments from PA Poettsching for the functional monitoring approach of the project SaveGreen features ecologicalcorridorsegment EPSG:31287 CRS:84 16.05509546079907 16.645500446555623 47.59600979723118 47.96062192602137 other other other other text/xml other other geonode:foe_cz_otheractivitysigns Mapping of other activity signs within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features foe_cz_otheractivitysigns EPSG:3035 CRS:84 18.0594780495614 19.09629597108106 49.09822167258568 49.61763595447548 other other other other text/xml other other geonode:foe_cz_tracks Mapping of tracks within the functional monitoring approach of the project SaveGreen. foe_cz_tracks Ecological corridor features 7 EPSG:3035 CRS:84 18.05212244221542 19.23354677764289 49.042574018915566 49.61764416160384 text/xml other other other other other other geonode:grid_counts Conflict data for Romania for the period 2023-2025. features grid_counts EPSG:3035 CRS:84 18.416329959053986 28.540495325488735 40.9721952168401 49.11192471116396 other other other other text/xml other other geonode:hu1_highway Mapping of highways within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features hu1_highway EPSG:3035 CRS:84 18.843631560299016 19.182253795848517 47.81200383188866 48.0869683486845 other other other other other text/xml other geonode:hu1_highway_on_bridge Mapping of highway section on bridges within the functional monitoring approach of the project SaveGreen hu1_highway_on_bridge Ecological corridor features 7 EPSG:3035 CRS:84 18.930496528626993 19.17846208986654 47.81259661394852 48.056370587666784 other other other text/xml other other other geonode:hu1_highway_on_pillar Mapping of highwy sections on pillars within the functional monitoring approach of the project SaveGreen. hu1_highway_on_pillar Ecological corridor features 7 EPSG:3035 CRS:84 18.982858510172036 18.996938659430228 48.050400619413885 48.05711889176389 other other other other text/xml other other geonode:hu1_highway_with_protection_wall Mapping of highway section with protection walls within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 hu1_highway_with_protection_wall EPSG:3035 CRS:84 19.01773698079652 19.173975922619235 47.83961498525779 48.03764378903322 other other other other text/xml other other geonode:hu1_missing_green_infrastructure Mapping of missing green infrastucture within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 hu1_missing_green_infrastructure EPSG:3035 CRS:84 18.8781577301236 19.284359564699816 47.74918805332043 48.08057882613163 other other other other text/xml other other geonode:hu1_national_ecological_network Mapping of the ecological network within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features hu1_national_ecological_network EPSG:3035 CRS:84 18.87773094854531 19.28711238198374 47.74173138272956 48.090439467283886 other other other other text/xml other other geonode:hu1_pilotarea Boarder of PA SK-HU: Novohrad-Nógrád SK-HU cross-border area hu1_pilotarea Ecological corridor features 7 EPSG:3035 CRS:84 12.909516159735368 27.49342866159246 41.80381991614603 50.07723003545095 other other other other text/xml other other geonode:hu1_stablepasture Mapping of stable pastures within the functional monitoring approach of the project SaveGreen. hu1_stablepasture Ecological corridor features 7 EPSG:3035 CRS:84 18.88656372818427 19.282639552465554 47.745776550382736 48.08967961382196 other other other other text/xml other other geonode:hu1_treelinies Mapping of tree lines within the functional monitoring approach of the project SaveGreen. features Ecological corridor hu1_treelinies 7 EPSG:3035 CRS:84 18.876891850953243 19.28473984114668 47.74477463020075 48.07990633921079 other other other other text/xml other other geonode:hwc_conflicts_ro_2023_2025 Geocoded register of human-wildlife conflict (HWC) incidents reported across Romania in the period 2023–2025. Each point records a single incident between human assets (livestock, beehives, crops, occasionally humans) and large-carnivore species — primarily brown bear (Ursus arctos) and grey wolf (Canis lupus) — with attributes covering the administrative unit, hunting unit, conflict type, type and number of animals/area affected, species (scientific + popular name) and sex, date of incident, owner, damage-assessment report, EPA report and decision, compensation amount and payment status. Source data: WWF Romania compilation of reports from hunting units, the National Agency for Protected Natural Areas (ANANP) and the Environmental Protection Agency (EPA). 4179 points retained out of 5066 source records; 887 rows dropped for missing or invalid coordinates. Coordinate reference system: EPSG:4326 (WGS 84). Prepared within the ForestConnect project (Interreg DRP0200359)  features hwc_conflicts_ro_2023_2025 EPSG:4326 CRS:84 21.99358 29.090695 43.318098 48.0787766 other other other other text/xml other other geonode:hwc_conflicts_ro_heatmap hwc_conflicts_ro_heatmap WCS GeoTIFF EPSG:4326 CRS:84 21.90358 24.72858 45.590051 47.834051 other other other other text/xml other other geonode:lynx7 The layer includes the data for species occurrence for lynx collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) lynx7 Modelling GIS features 17 9 EPSG:3035 CRS:84 16.838513526651546 26.443264574390593 44.09227341798142 49.95396345041207 other other other other text/xml other other geonode:mar_future_agreement_25pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 25% most critical connectivity patches overlap each pixel in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_agreement_25pct WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other text/xml other other other other other geonode:mar_future_agreement_5pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 5% most critical connectivity patches overlap each pixel in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_agreement_5pct WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_bear_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_bear_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_bear_crit_25pct_vector EPSG:32635 CRS:84 22.89210753995162 24.94206276206222 47.28862877309232 48.47642108222904 other other other other text/xml other other geonode:mar_future_bear_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_bear_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_bear_crit_5pct_vector EPSG:32635 CRS:84 22.914818701285416 24.761807068294523 47.29339898891286 48.29025778069222 other other other other text/xml other other geonode:mar_future_bear_critical_25pct_raster Refined top 25% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_bear_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_critical_25pct_vector Refined top 25% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_bear_critical_25pct_vector EPSG:32635 CRS:84 22.885590104052863 25.042201992550947 47.301965890837145 48.508852573699826 other other other other other text/xml other geonode:mar_future_bear_critical_5pct_raster Refined top 5% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_bear_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_bear_critical_5pct_vector Refined top 5% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_bear_critical_5pct_vector EPSG:32635 CRS:84 24.04596675835112 25.03554195778639 47.51518384144181 48.47285627808791 other other other other text/xml other other geonode:mar_future_bear_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_bear_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_lynx_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_lynx_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_lynx_crit_25pct_vector EPSG:32635 CRS:84 22.891890037195008 24.94234263086136 47.28144133766116 48.47912063740393 other other other other text/xml other other geonode:mar_future_lynx_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_lynx_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_lynx_crit_5pct_vector EPSG:32635 CRS:84 23.009220567866244 24.75703572239946 47.40869092485365 48.20027940931389 other other other other text/xml other other geonode:mar_future_lynx_critical_25pct_raster Refined top 25% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_lynx_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_critical_25pct_vector Refined top 25% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_lynx_critical_25pct_vector EPSG:32635 CRS:84 23.004418759912067 25.04183552664873 47.31587881855708 48.508852573699826 other other other other text/xml other other geonode:mar_future_lynx_critical_5pct_raster Refined top 5% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_lynx_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_lynx_critical_5pct_vector Refined top 5% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_lynx_critical_5pct_vector EPSG:32635 CRS:84 24.045496773830088 25.00343916175373 47.520580569264744 48.48038597372558 other other other other text/xml other other geonode:mar_future_lynx_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_lynx_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_multispecies_mean_connectivity Mean of the standardized (1-100) circuit-flow connectivity maps across the three large-carnivore species (grey wolf, Eurasian lynx, brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_multispecies_mean_connectivity WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_multispecies_mean_std Mean of the standardized (1-100) circuit-flow current maps across the three large-carnivore species (grey wolf, Eurasian lynx, brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_multispecies_mean_std WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_crit_25pct_raster Combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_overall_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_crit_25pct_vector Combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_overall_crit_25pct_vector EPSG:32635 CRS:84 22.890322986399575 24.950286358311786 47.28139495741839 48.48196840056594 other other other other text/xml other other geonode:mar_future_overall_crit_5pct_raster Combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_overall_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_crit_5pct_vector Combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_overall_crit_5pct_vector EPSG:32635 CRS:84 22.912470501133367 24.7829913178684 47.293352680916286 48.3032805617449 other other other other text/xml other other geonode:mar_future_overall_critical_25pct_raster Refined combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_overall_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_critical_25pct_vector Refined combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_overall_critical_25pct_vector EPSG:32635 CRS:84 22.88522661988786 25.042268601720615 47.30016904848081 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_critical_5pct_raster Refined combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_overall_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_overall_critical_5pct_vector Refined combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_overall_critical_5pct_vector EPSG:32635 CRS:84 23.794899751325378 25.035609213477347 47.50690419943057 48.48905464295614 other other other other text/xml other other geonode:mar_future_wolf_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_wolf_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_wolf_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_wolf_crit_25pct_vector EPSG:32635 CRS:84 22.890322986399575 24.950286358311786 47.28139495741839 48.48196840056594 other other other other text/xml other other geonode:mar_future_wolf_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_wolf_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_wolf_crit_5pct_vector EPSG:32635 CRS:84 22.912470501133367 24.782840520268998 47.29694641807916 48.3032805617449 other other other other text/xml other other geonode:mar_future_wolf_critical_25pct_raster Refined top 25% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_wolf_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_critical_25pct_vector Refined top 25% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_wolf_critical_25pct_vector EPSG:32635 CRS:84 22.88522661988786 25.042268601720615 47.30016904848081 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_critical_5pct_raster Refined top 5% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. mar_future_wolf_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_future_wolf_critical_5pct_vector Refined top 5% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. features mar_future_wolf_critical_5pct_vector EPSG:32635 CRS:84 23.794899751325378 25.023647866893292 47.50690419943057 48.48884209670335 other other other other text/xml other other geonode:mar_future_wolf_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the future scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_future_wolf_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_agreement_25pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 25% most critical connectivity patches overlap each pixel in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_agreement_25pct WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_agreement_25pct_4c05255b526798baba11d2d6d25a22b3 mar_present_agreement_25pct_4c05255b526798baba11d2d6d25a22b3 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_agreement_5pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 5% most critical connectivity patches overlap each pixel in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_agreement_5pct WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_agreement_5pct_325faec124df52d41e4c9f79b8ac7592 mar_present_agreement_5pct_325faec124df52d41e4c9f79b8ac7592 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_bear_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_bear_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_bear_crit_25pct_vector EPSG:32635 CRS:84 22.898953483204945 24.96481542062618 47.28224698928727 48.35805583257183 other other other other text/xml other other geonode:mar_present_bear_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_bear_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_bear_crit_5pct_vector EPSG:32635 CRS:84 22.91963688974096 24.076069737730112 47.39213270812865 48.18000501408232 other other other other text/xml other other geonode:mar_present_bear_critical_25pct_raster Refined top 25% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_bear_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_critical_25pct_vector Refined top 25% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_bear_critical_25pct_vector features EPSG:32635 CRS:84 23.2337166746895 25.042534973828865 47.304456883734396 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_critical_5pct_raster Refined top 5% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_bear_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_bear_critical_5pct_vector Refined top 5% most critical connectivity patches for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_bear_critical_5pct_vector EPSG:32635 CRS:84 23.35527260911328 25.0408774009921 47.31716964450159 48.49533043522195 other other other other text/xml other other geonode:mar_present_bear_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Ursus arctos (Brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_bear_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_lynx_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_lynx_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_lynx_crit_25pct_vector EPSG:32635 CRS:84 22.90447274798263 24.94237760683263 47.28049652846464 48.305446269803824 other other other other text/xml other other geonode:mar_present_lynx_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_lynx_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_lynx_crit_5pct_vector features EPSG:32635 CRS:84 22.923258620161377 24.085148664331143 47.395772832724866 48.151469888519806 other other other other text/xml other other geonode:mar_present_lynx_critical_25pct_raster Refined top 25% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_lynx_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_critical_25pct_vector Refined top 25% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_lynx_critical_25pct_vector EPSG:32635 CRS:84 23.226960855202393 25.042268601720615 47.31143430311888 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_critical_5pct_raster Refined top 5% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_lynx_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_lynx_critical_5pct_vector Refined top 5% most critical connectivity patches for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_lynx_critical_5pct_vector EPSG:32635 CRS:84 23.23478162059845 24.976507088778806 47.33411657249138 48.49778042122807 other other other other text/xml other other geonode:mar_present_lynx_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Lynx lynx (Eurasian lynx) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_lynx_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_multispecies_mean_connectivity Mean of the standardized (1-100) circuit-flow connectivity maps across the three large-carnivore species (grey wolf, Eurasian lynx, brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_multispecies_mean_connectivity WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_multispecies_mean_std Mean of the standardized (1-100) circuit-flow current maps across the three large-carnivore species (grey wolf, Eurasian lynx, brown bear) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_multispecies_mean_std WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_overall_crit_25pct_raster Combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_overall_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_overall_crit_25pct_vector Combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_overall_crit_25pct_vector EPSG:32635 CRS:84 22.887448837678487 25.033732547174754 47.280450134496085 48.50238796026458 other other other other text/xml other other geonode:mar_present_overall_crit_5pct_raster Combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_overall_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 text/xml other other other other other other geonode:mar_present_overall_crit_5pct_vector Combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_overall_crit_5pct_vector EPSG:32635 CRS:84 22.910784858293507 24.652207319022516 47.316619173733805 48.288012325854076 other other other other text/xml other other geonode:mar_present_overall_critical_25pct_raster Refined combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_overall_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_overall_critical_25pct_vector Refined combined top 25% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_overall_critical_25pct_vector EPSG:32635 CRS:84 22.960848338616664 25.042901066859535 47.28567478410376 48.51335209255805 other other other other text/xml other other geonode:mar_present_overall_critical_5pct_raster Refined combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_overall_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_overall_critical_5pct_vector Refined combined top 5% most critical connectivity patches across the three large-carnivore species in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_overall_critical_5pct_vector EPSG:32635 CRS:84 23.22020511775513 25.04121060720477 47.30403095273703 48.5133285199625 other other other other text/xml other other geonode:mar_present_wolf_connectivity_1_100 Circuit flow connectivity model output, standardized to a 1-100 scale, for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Computed in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_wolf_connectivity_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_connectivity_1_1009dced9941e8e mar_present_wolf_connectivity_1_1009dced9941e8e WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_wolf_crit_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_wolf_crit_25pct_vector features EPSG:32635 CRS:84 22.88879884712992 25.033732547174754 47.28049652846464 48.50238796026458 other other other other text/xml other other geonode:mar_present_wolf_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_wolf_crit_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_wolf_crit_5pct_vector EPSG:32635 CRS:84 22.910784858293507 24.652207319022516 47.316619173733805 48.288012325854076 other other other other text/xml other other geonode:mar_present_wolf_critical_25pct_raster Refined top 25% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_wolf_critical_25pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_critical_25pct_vector Refined top 25% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_wolf_critical_25pct_vector EPSG:32635 CRS:84 22.960848338616664 25.02039125859217 47.28567478410376 48.512949192311055 other other other other text/xml other other geonode:mar_present_wolf_critical_5pct_raster Refined top 5% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. mar_present_wolf_critical_5pct_raster WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:mar_present_wolf_critical_5pct_vector Refined top 5% most critical connectivity patches for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. features mar_present_wolf_critical_5pct_vector EPSG:32635 CRS:84 23.22020511775513 24.699581082107226 47.30403095273703 48.506714784390645 other other other other text/xml other other geonode:mar_present_wolf_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Canis lupus (Grey wolf) in Transboundary Maramureș (Romania – Ukraine), considering the present scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). mar_present_wolf_std_1_100 WCS GeoTIFF EPSG:32635 CRS:84 22.88522661988786 25.043000876543534 47.28040372535245 48.51335209255805 other other other other text/xml other other geonode:maramures_region_romania___canis_lupus__crit_top_25pct features maramures_region_romania___canis_lupus__crit_top_25pct EPSG:32634 CRS:84 22.991352015771035 25.053609953237423 47.268369725201055 48.015905960422266 other other other other text/xml other other geonode:maramures_region_romania___canis_lupus__crit_top_5pct features maramures_region_romania___canis_lupus__crit_top_5pct EPSG:32634 CRS:84 23.060252160566794 24.626180823421 47.30188657948743 48.001308522700036 other other other other text/xml other other geonode:maramures_region_romania___overall_crit_top_25pct features maramures_region_romania___overall_crit_top_25pct EPSG:32634 CRS:84 22.991352015771035 25.053609953237423 47.268369725201055 48.015905960422266 other other other other text/xml other other geonode:maramures_region_romania___overall_crit_top_5pct features maramures_region_romania___overall_crit_top_5pct EPSG:32634 CRS:84 23.058941378248754 24.626180823421 47.30188657948743 48.0013326357814 other other other other text/xml other other geonode:maramures_region_romania___ursus_arctos__crit_top_25pct features maramures_region_romania___ursus_arctos__crit_top_25pct EPSG:32634 CRS:84 23.007076486113043 24.862920917282526 47.27479454908189 48.015624843335274 other other other other text/xml other other geonode:maramures_region_romania___ursus_arctos__crit_top_5pct features maramures_region_romania___ursus_arctos__crit_top_5pct EPSG:32634 CRS:84 23.059496053339906 24.578428913373784 47.31758842326944 48.00044174633137 other other other other text/xml other other geonode:maramures_region_ukraine___canis_lupus__crit_top_25pct features maramures_region_ukraine___canis_lupus__crit_top_25pct EPSG:32635 CRS:84 23.184915261902702 24.768740128979296 47.867880077423095 48.50861546790835 other other other other text/xml other other geonode:maramures_region_ukraine___canis_lupus__crit_top_5pct features maramures_region_ukraine___canis_lupus__crit_top_5pct EPSG:32635 CRS:84 23.186342973344722 24.64481479604471 47.86792427739987 48.50518145248423 other other other other text/xml other other geonode:maramures_region_ukraine___lynx_lynx__crit_top_25pct features maramures_region_ukraine___lynx_lynx__crit_top_25pct EPSG:32635 CRS:84 23.224352412893886 24.741901441573408 47.804935718986656 48.5080232463127 other other other other text/xml other other geonode:maramures_region_ukraine___lynx_lynx__crit_top_5pct features maramures_region_ukraine___lynx_lynx__crit_top_5pct EPSG:32635 CRS:84 23.24412716664715 24.65522188685646 47.87790712659982 48.49635129427401 other other other other text/xml other other geonode:maramures_region_ukraine___overall_crit_top_25pct features maramures_region_ukraine___overall_crit_top_25pct EPSG:32635 CRS:84 23.184915261902702 24.771500678362926 47.80366314723823 48.50861546790835 other other other other text/xml other other geonode:maramures_region_ukraine___overall_crit_top_5pct features maramures_region_ukraine___overall_crit_top_5pct EPSG:32635 CRS:84 23.186275116771625 24.6721127275647 47.82993686777622 48.50662035483879 other other other other text/xml other other geonode:maramures_region_ukraine___ursus_arctos__crit_top_25pct features maramures_region_ukraine___ursus_arctos__crit_top_25pct EPSG:32635 CRS:84 23.22571236471922 24.750692409973514 47.81945154337299 48.508212527007714 other other other other text/xml other other geonode:maramures_region_ukraine___ursus_arctos__crit_top_5pct features maramures_region_ukraine___ursus_arctos__crit_top_5pct EPSG:32635 CRS:84 23.354922783510574 24.6721127275647 47.83528882772318 48.50662035483879 other other other other text/xml other other geonode:monitoringdevice Monitoring devices placed in PA Poettsching for the functional monitoring approach of the project SaveGreen features monitoringdevice EPSG:3035 CRS:84 16.358828030590733 16.604757090464496 47.76034358490015 47.86144605114971 other other other other text/xml other other geonode:monitoringsite Monitoring sites in PA Poettsching for the functional monitoring approach of the project SaveGreen monitoringsite features EPSG:3035 CRS:84 16.357669683530055 16.606055898876736 47.759966900184565 47.862425940181566 other other other other text/xml other other geonode:motorways The layer includes the data about the barriers for ecological connectivity for large carnivores –motorways collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) motorways Modelling GIS features 17 9 EPSG:3035 CRS:84 12.75315468321664 30.931992279223127 40.45023322588938 51.862721309483646 other other other other text/xml other other geonode:natura2000carpathians This layer contains data NATURA 2000 sites in the Carpathians. Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive. This version covers the reporting in 2021.Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas or SPAs) and the Habitats Directive (Sites of Community Importance or SCIs, and Special Areas of Conservation or SACs).The European database of Natura 2000 sites consists of a compilation of the data submitted by the Member States of the European Union. This European database is generally updated once a year to take into account any updating of national databases by Member States. However, the release of a new EU-wide database does not necessarily mean that a particular national dataset has recently been updated.The descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). In addition to other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated.The spatial data (outlining the boundaries of sites) submitted by each Member State are validated by the European Environment Agency (EEA).Any problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether to submit a revised dataset before the European database is updated. The EEA therefore cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset.Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Poland, Portugal, Slovakia, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member State administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sitesBesides the web service link provided in the metadata, the following services provide information on species and habitat types inside the Natura 2000 sites:https://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Habitats/MapServerhttps://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Species/MapServer GIS natura2000carpathians features 18 9 Natural assets EPSG:3035 CRS:84 15.87437371667612 28.364426497687276 43.848648187291154 50.470224301154225 other other other other text/xml other other geonode:otheractivitysign Mapping of other activity signs within the functional monitoring approach of the project SaveGreen features otheractivitysign EPSG:3035 CRS:84 16.360564920625237 16.608123340700665 47.76131748671384 47.861759189911645 other other other other text/xml other other geonode:overpass0 Mapping of overpasses within the functional monitoring approach of the project SaveGreen features overpass0 EPSG:3035 CRS:84 16.364937190392435 16.684664213080456 47.76043522545662 48.08917697809388 other other other other text/xml other other geonode:pa_hm_all Spatial distribution of  all species monitored in PA Poettsching for the functional monitoring approach of the project SaveGreen pa_hm_all WCS GeoTIFF EPSG:3035 CRS:84 16.351191874885682 16.621767727474992 47.75292029084105 47.866774053077314 other other other other text/xml other other geonode:pa_hm_mixed Spatial distribution of species with mixed habitat preference monitored in PA Poettsching for the functional monitoring approach of the project SaveGreen pa_hm_mixed WCS GeoTIFF EPSG:3035 CRS:84 16.351318042058775 16.6165654371225 47.75247366130574 47.86600647840882 other other other other other text/xml other geonode:pa_hm_openland Spatial distribution of species with openland habitat preference monitored in PA Poettsching for the functional monitoring approach of the project SaveGreen pa_hm_openland WCS GeoTIFF EPSG:3035 CRS:84 16.35118645684218 16.62176206474712 47.75287664706273 47.86673039722323 other other other other text/xml other other geonode:pa_hm_woodland Spatial distribution of species with woodland habitat preference monitored in PA Poettsching for the functional monitoring approach of the project SaveGreen pa_hm_woodland WCS GeoTIFF EPSG:3035 CRS:84 16.351614220222302 16.616866045953962 47.7532160060823 47.86674946668375 other other other other text/xml other other geonode:pilotarea Boarder pilot area Poettsching features pilotarea EPSG:3035 CRS:84 16.04669009531596 16.672616449586574 47.586341156815024 48.01958883423201 other other other other text/xml other other geonode:primary_roads The layer includes the data about the barriers for ecological connectivity for large carnivores –primary roads collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) primary_roads Modelling GIS features 17 9 EPSG:3035 CRS:84 12.753154363971221 30.95078885965563 40.44732202231474 51.86313891037696 other other other other text/xml other other geonode:ro1_barriere_without_z Mapping of barrieres within the functional monitoring approach of the project SaveGreen. ro1_barriere_without_z Ecological corridor features 7 EPSG:3035 CRS:84 21.38906834536828 23.939439536082087 45.27871184093126 47.149135699451996 other other other other text/xml other other geonode:ro1_overpass g Mapping of overpasses within the functional monitoring approach of the project SaveGreen. ro1_overpass Ecological corridor features 7 EPSG:3035 CRS:84 22.2591605823192 22.787471572041998 45.80692636038197 45.99250598656763 other other other other text/xml other other geonode:ro1_roadkill Mapping of roadkills within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features ro1_roadkill EPSG:3035 CRS:84 22.200850668476416 23.140137626946753 45.84573711427722 46.25793277936425 other other other other text/xml other other geonode:ro1_trackl Mapping of tracks within the functional monitoring approach of the project SaveGreen ro1_trackl Ecological corridor features 7 EPSG:3035 CRS:84 21.45897887974072 23.791420544075187 44.98797726011234 46.83146301465117 other other other other text/xml other other geonode:ro1_underpass Mapping of underpasses within the functional monitoring approach of the project SaveGreen. ro1_underpass Ecological corridor features 7 EPSG:3035 CRS:84 21.48742002491924 22.99046089189462 45.71201327478775 46.16934703625262 other other other other text/xml other other geonode:ro2_corridorsgreywolf Designation of ecological corridors for the grey wolf 7 Ecological corridor features ro2_corridorsgreywolf EPSG:3035 CRS:84 24.460276661269265 26.896268237016486 45.95763555432337 47.67670523354568 other other other other text/xml other other geonode:ro2_corridorsreddeer Designation of ecological corridors for the red deer ro2_corridorsreddeer Ecological corridor features 7 EPSG:3035 CRS:84 24.132871440515846 27.006365927591993 45.93695855184909 47.7198369749044 other other other other text/xml other other geonode:ro2_directspeciesobservation Mapping of direct species observation within the functional monitoring approach of the project SaveGreen. ro2_directspeciesobservation Ecological corridor features 7 EPSG:3035 CRS:84 24.950071666666656 25.27351166666666 46.52136519815036 46.63758849626794 other other other other text/xml other other geonode:ro2_monitoringdevices Monitoring devices in pilot area PA RO2: Mureş Va l le y (Târgu Mure ş – Târgu Neamţ) Ecological corridor features 7 ro2_monitoringdevices EPSG:3035 CRS:84 25.108774638701323 25.108805361302974 46.56618942702033 46.56621065855816 other other other other text/xml other other geonode:ro2_otheractivitysign Mapping of other activity sign within the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 ro2_otheractivitysign EPSG:3035 CRS:84 24.945784045242902 25.3846698008038 46.50934866942019 46.74437155396037 other other other other text/xml other other geonode:ro2_pilotarea Pilot Area RO2: Mureş Vally (Târgu Mureş – Târgu Neamţ) ro2_pilotarea Ecological corridor features 7 EPSG:3035 CRS:84 24.114930447959097 27.00967275041243 45.93686787744448 47.7316878454446 other other other other text/xml other other geonode:ro2_tracks Mapping of tracks within the functional monitoring approach of the project SaveGreen ro2_tracks Ecological corridor features 7 EPSG:3035 CRS:84 24.94343385448957 25.385950613025667 46.504168402245085 46.74475812395745 other other other other text/xml other other geonode:settlements_clipped The layer includes the data about the barriers for ecological connectivity for large carnivores – the existing settlements collected within the ConnectGREEN Project. The project was implemented between June 2018 and October 2021. This data was used for development of the "Map of core areas and ecological corridors for large carnivores in the Carpathians" using the “Methodology for identification of ecological corridors in the Carpathian countries by using large carnivores as umbrella species” (Okanikova et al, 2021) developed within the ConnectGREEN Project. The presence of large carnivores in nature sometimes stirs polarized discussions about possible conflicts with humans, but those conflicts are often just one of the consequences of landscape fragmentation. As the liv­ing space of bear, wolf and lynx is shrinking, the num­ber of contacts with people may be increasing. These species are tied to large undisturbed forest areas with no or very little low human presence. Furthermore, long distance movement is a part of their biology. Large carnivores are called “umbrella species”. If they have proper space to move/migrate, it indicates the fact that also smaller species can. For more information, please contact: Dusan Rompotl, Dusan.Romportl@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening), Kristyna Vlkova, vlkova@vukoz.cz, VUKOZ (The Silva Tarouca Research Institute for Landscape and Ornamental Gardening) Modelling settlements_clipped GIS features 17 9 EPSG:3035 CRS:84 15.732448054644443 28.400295581222785 42.55735785903875 50.556709875393466 other other other other text/xml other other geonode:sk1_barriere Mapping of barriers within the functional monitoring approach of the project SaveGreen. sk1_barriere Ecological corridor features 7 EPSG:3035 CRS:84 19.254272024622352 19.7095044715367 48.39132768698267 48.6090842920013 other other other other other text/xml other geonode:sk1_barriere_points0 No abstract provided features sk1_barriere_points0 EPSG:5514 CRS:84 19.414943569851687 19.760536753707306 48.203679151426535 48.62035891182674 other other other other text/xml other other geonode:sk1_barriere_points0_hi5lc4l features sk1_barriere_points0_hi5lc4l EPSG:5514 CRS:84 19.414943569851687 19.760536753707306 48.203679151426535 48.62035891182674 other other other other text/xml other other geonode:sk1_directspecesobservation Mapping of direct species observation within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features sk1_directspecesobservation EPSG:3035 CRS:84 19.241819635813222 19.76360533687155 48.19680099517302 48.65444293079736 other other other other text/xml other other geonode:sk1_ecologicalcorridorsegment Designated ecological corridor segments sk1_ecologicalcorridorsegment Ecological corridor features 7 EPSG:3035 CRS:84 19.27708337999425 19.768294478388356 48.217753739441925 48.66374377222816 other other other other text/xml other other geonode:sk1_monitoringdevices Established monitoirng devices within the functional monitoring approach of the project SaveGreen. sk1_monitoringdevices Ecological corridor features 7 EPSG:3035 CRS:84 19.24314070650575 19.67932199495661 48.20769073979559 48.595481460634105 other other other other other other text/xml geonode:sk1_monitoringsite Monitoring sites for the functional monitoring approach of the project SaveGreen. 7 Ecological corridor sk1_monitoringsite features EPSG:3035 CRS:84 19.262743424102748 19.663379158531193 48.20915465815156 48.592118704257125 other other other other text/xml other other geonode:sk1_otheractivitysign Mapping of other activity sings within the functional monitoring approach of the project SaveGreen. sk1_otheractivitysign Ecological corridor features 7 EPSG:3035 CRS:84 19.26386831801383 19.679882242366826 48.31770889564176 48.59609064394651 other other other other text/xml other other geonode:sk1_pilotarea Boarder of PA SK-HU: Novohrad-Nógrád SK-HU cross-border area sk1_pilotarea Ecological corridor features 7 EPSG:3035 CRS:84 12.909516159735368 27.49342866159246 41.80381991614603 50.07723003545095 other other other other text/xml other other geonode:sk1_pilotarea_9ysjigb features sk1_pilotarea_9ysjigb EPSG:3035 CRS:84 12.909516159735379 27.493428661592542 41.80381991614601 50.07723003545096 other other other other text/xml other other geonode:sk1_roadkill Mapping of roadkills  within the functional monitoring approach of the project SaveGreen. features Ecological corridor sk1_roadkill 7 EPSG:3035 CRS:84 19.376337472839943 19.68741985265403 48.20716407131326 48.557699923199934 other other other other text/xml other other geonode:sk1_roadkillrisk Monitoirng of road kill risk  within the functional monitoring approach of the project SaveGreen. sk1_roadkillrisk Ecological corridor features 7 EPSG:3035 CRS:84 19.29225383434196 19.7651260480791 48.194914514471535 48.65187934301572 other other other other text/xml other other geonode:sk1_track Mapping of tracks within the functional monitoring approach of the project SaveGreen. features Ecological corridor sk1_track 7 EPSG:3035 CRS:84 19.373744556138032 19.67945496123569 48.37563542628754 48.58734855051482 other other other other text/xml other other geonode:sk1_trackliniear Track line for the functional monitoring approach of the project SaveGreen. sk1_trackliniear Ecological corridor features 7 EPSG:3035 CRS:84 19.25324770246908 19.6838606471119 48.262457405584165 48.590444662558134 other other other other text/xml other other geonode:sk1_trackpolygon Tracking areas the functional monitoring approach of the project SaveGreen. sk1_trackpolygon Ecological corridor features 7 EPSG:3035 CRS:84 19.5039938553691 19.622523242230148 48.206639838039145 48.40016910544565 other other other other text/xml other other geonode:sk1_underpass No abstract provided features sk1_underpass EPSG:3035 CRS:84 19.248418851123112 19.450613567213313 48.53063022804438 48.572610828707894 other other other other text/xml other other geonode:slk_current_agreement_25pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 25% most critical connectivity patches overlap each pixel in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_agreement_25pct WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_agreement_5pct Multi-species agreement raster (0-3) showing the number of large-carnivore species (grey wolf, Eurasian lynx, brown bear) whose top 5% most critical connectivity patches overlap each pixel in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_agreement_5pct WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_bear_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_bear_crit_25pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_bear_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_bear_crit_25pct_vector features EPSG:32634 CRS:84 20.085316973225222 20.530594727319812 48.79948581489691 49.017970648406646 other other other other text/xml other other geonode:slk_current_bear_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_bear_crit_5pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_bear_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Ursus arctos (Brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. features slk_current_bear_crit_5pct_vector EPSG:32634 CRS:84 20.15398652967514 20.50804338960473 48.81566220862393 48.94738073097443 other other other other text/xml other other geonode:slk_current_bear_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Ursus arctos (Brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). slk_current_bear_std_1_100 WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_lynx_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_lynx_crit_25pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_lynx_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_lynx_crit_25pct_vector features EPSG:32634 CRS:84 20.10336021199794 20.539817506543496 48.79961986379811 48.971010785251934 other other other other text/xml other other geonode:slk_current_lynx_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_lynx_crit_5pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_lynx_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Lynx lynx (Eurasian lynx) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. features slk_current_lynx_crit_5pct_vector EPSG:32634 CRS:84 20.152768453902354 20.527959651026872 48.79998746268575 48.941371488628846 other other other other text/xml other other geonode:slk_current_lynx_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Lynx lynx (Eurasian lynx) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). slk_current_lynx_std_1_100 WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_multispecies_mean_std Mean of the standardized (1-100) circuit-flow current maps across the three large-carnivore species (grey wolf, Eurasian lynx, brown bear) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_multispecies_mean_std WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_overall_crit_25pct_raster Combined top 25% most critical connectivity patches across the three large-carnivore species in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_overall_crit_25pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_overall_crit_25pct_vector Combined top 25% most critical connectivity patches across the three large-carnivore species in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. features slk_current_overall_crit_25pct_vector EPSG:32634 CRS:84 20.085316973225222 20.539817506543496 48.79948581489691 49.01800811911636 other other other other text/xml other other geonode:slk_current_overall_crit_5pct_raster Combined top 5% most critical connectivity patches across the three large-carnivore species in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_overall_crit_5pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_overall_crit_5pct_vector Combined top 5% most critical connectivity patches across the three large-carnivore species in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. features slk_current_overall_crit_5pct_vector EPSG:32634 CRS:84 20.119589522784114 20.53849996550138 48.79974134317783 48.950117662024084 other other other other text/xml other other geonode:slk_current_wolf_crit_25pct_raster Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_wolf_crit_25pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_wolf_crit_25pct_vector Top 25% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. features slk_current_wolf_crit_25pct_vector EPSG:32634 CRS:84 20.085396690707086 20.539817506543496 48.79948581489691 49.01365653041483 other other other other text/xml other other geonode:slk_current_wolf_crit_5pct_raster Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_wolf_crit_5pct_raster WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slk_current_wolf_crit_5pct_vector Top 5% most critical connectivity patches identified by thresholding the standardized current map for Canis lupus (Grey wolf) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. slk_current_wolf_crit_5pct_vector features EPSG:32634 CRS:84 20.119589522784114 20.53849996550138 48.79974134317783 48.950117662024084 other other other other text/xml other other geonode:slk_current_wolf_std_1_100 Model output of habitat suitability analysis (standardized circuit current, scale 1-100) for Canis lupus (Grey wolf) in Slovenský Národný Park (Slovakia), considering the current (baseline) scenario of climatic variables. Circuit flow output, conducted in Circuitscape: Shah, V.B. and B.H. McRae, 2008. Circuitscape: a tool for landscape ecology. In: G. Varoquaux, T. Vaught, J. Millman (Eds.). slk_current_wolf_std_1_100 WCS GeoTIFF EPSG:32634 CRS:84 20.085285080868623 20.55167539295574 48.79948581489691 49.01979584069473 other other other other text/xml other other geonode:slovensky_national_park_slovakia___canis_lupus__crit_top_25pct features slovensky_national_park_slovakia___canis_lupus__crit_top_25pct EPSG:32634 CRS:84 20.085396690707086 20.539817506543496 48.79948581489691 49.01365653041483 other other other other text/xml other other geonode:slovensky_national_park_slovakia___canis_lupus__crit_top_5pct features slovensky_national_park_slovakia___canis_lupus__crit_top_5pct EPSG:32634 CRS:84 20.119589522784114 20.53849996550138 48.79974134317783 48.950117662024084 other other other other text/xml other other geonode:slovensky_national_park_slovakia___lynx_lynx__crit_top_25pct features slovensky_national_park_slovakia___lynx_lynx__crit_top_25pct EPSG:32634 CRS:84 20.10336021199794 20.539817506543496 48.79961986379811 48.971010785251934 other other other other text/xml other other geonode:slovensky_national_park_slovakia___lynx_lynx__crit_top_5pct features slovensky_national_park_slovakia___lynx_lynx__crit_top_5pct EPSG:32634 CRS:84 20.152768453902354 20.527959651026872 48.79998746268575 48.941371488628846 other other other other text/xml other other geonode:slovensky_national_park_slovakia___overall_crit_top_25pct features slovensky_national_park_slovakia___overall_crit_top_25pct EPSG:32634 CRS:84 20.085316973225222 20.539817506543496 48.79948581489691 49.01800811911636 other other other other text/xml other other geonode:slovensky_national_park_slovakia___overall_crit_top_5pct features slovensky_national_park_slovakia___overall_crit_top_5pct EPSG:32634 CRS:84 20.119589522784114 20.53849996550138 48.79974134317783 48.950117662024084 other other other other text/xml other other geonode:slovensky_national_park_slovakia___ursus_arctos__crit_top_25pc features slovensky_national_park_slovakia___ursus_arctos__crit_top_25pc EPSG:32634 CRS:84 20.085316973225222 20.530594727319812 48.79948581489691 49.017970648406646 other other other other text/xml other other geonode:slovensky_national_park_slovakia___ursus_arctos__crit_top_5pct features slovensky_national_park_slovakia___ursus_arctos__crit_top_5pct EPSG:32634 CRS:84 20.15398652967514 20.50804338960473 48.81566220862393 48.94738073097443 other other other other text/xml other other geonode:test_geojson features test_geojson EPSG:3857 CRS:84 19.977471756764242 20.532007456308875 47.90450070196982 48.26188098553034 other other other other text/xml other other geonode:track Mapping of tracks within the functional monitoring approach of the project SaveGreen features track EPSG:3035 CRS:84 16.35884704406463 16.60640978226009 47.761662170618465 47.861904688472315 other other other other text/xml other other geonode:ua1_directspeciesobservation Mapping of direct species obsevations within the functional monitoring approach of the project SaveGreen. 7 Ecological corridor features ua1_directspeciesobservation EPSG:3035 CRS:84 23.05706505493269 23.057094687122536 48.653278311552825 48.65329696692802 text/xml other other other other other other geonode:ua1_ecologicalcorridorsegments Ecological corridor segments within the PA UA: Zakarpattia region ua1_ecologicalcorridorsegments Ecological corridor features 7 EPSG:3035 CRS:84 22.19771087842046 24.578635096670816 47.86055159859264 48.963479623780664 other other other other text/xml other other geonode:ua1_linearlandscapeelement Mapping of liniear landscape elements within the functional monitoring approach of the project SaveGreen. ua1_linearlandscapeelement Ecological corridor features 7 EPSG:3035 CRS:84 24.080402026293488 24.10103704222015 47.93608185225532 47.944409222516114 other other other other text/xml other other geonode:ua1_monitoringdevices Monitoring devices placed in PA for the  functional monitoring approach of the project SaveGreen. features Ecological corridor ua1_monitoringdevices 7 EPSG:3035 CRS:84 23.026463483092876 23.066113867079675 48.624357038767734 48.687289422381305 other other other other text/xml other other geonode:ua1_monitoringroads Monitoring of road sections within the functional monitoring approach of the project SaveGreen. ua1_monitoringroads Ecological corridor features 7 EPSG:3035 CRS:84 22.882395195384248 24.38352730133773 47.92551687183972 48.795078357761206 other other other other text/xml other other geonode:ua1_monitoringsite Monitoring sides for the  the functional monitoring approach of the project SaveGreen. Ecological corridor features 7 ua1_monitoringsite EPSG:3035 CRS:84 22.882336661235314 24.384036853827713 47.925425992914455 48.7951441398883 other other other other text/xml other other geonode:ua1_pilotarea Boarder of PA UA: Zakarpattia region features Ecological corridor ua1_pilotarea 7 EPSG:3035 CRS:84 22.03629823151084 24.856415975012467 47.74646380883992 49.12922664318815 other other other other text/xml other other geonode:ua1_tracks Mapping of tracks within the functional monitoring approach of the project SaveGreen. ua1_tracks Ecological corridor features 7 EPSG:3035 CRS:84 22.891317585855237 24.38268717366785 47.95978275364316 48.795051640800125 other other other other text/xml other other geonode:ua1_underpasses Mapping of underpasses within the functional monitoring approach of the project SaveGreen Ecological corridor features 7 ua1_underpasses EPSG:3035 CRS:84 22.89157476968147 24.3829699035754 47.95959231028374 48.79435375536106 other text/xml other other other other other geonode:underpass Mapping of activity signs within he functional monitoring approach of the project SaveGreen features underpass EPSG:3035 CRS:84 16.359373867528703 16.68125612165025 47.762388316192514 48.09230735294969 other other other other text/xml other other