Tiger Conservation Landscapes

These three data sets, produced by WWF and RESOLVE, show the location of current tiger habitat and priority areas for habitat conservation. *Tiger Conservation Landscapes: * Tiger Conservation Landscapes (TCLs) are large blocks of contiguous or connected area of suitable tiger habitat that that can support at least five adult tigers and where tiger presence has been confirmed in the past 10 years. The data set was created by mapping tiger distribution, determined by land cover type, forest extent, and prey base, against a human influence index. Areas of high human influence that overlapped with suitable habitat were not considered tiger habitat. *Tx2 Tiger Conservation Landscapes: * This data set displays 29 Tx2 Tiger Conservation Landscapes (Tx2 TCLs), defined areas that could double the wild tiger population through proper conservation and management by 2020. *Terai Arc Landscape corridors: * This data set displays 9 forest corridors on the Nepalese side of the Terai Arc Landscape (TAL). Corridors are defined as existing forests connecting current Royal Bengal tiger meta-populations in Nepal and India. These three layers show the location of current tiger habitats, areas of habitat expansion, and critical tiger corridors.

The Intact Forest Landscapes (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained. To map IFL areas, a set of criteria was developed and designed to be globally applicable and easily replicable, the latter to allow for repeated assessments over time as well as verification. IFL areas were defined as unfragmented landscapes, at least 50,000 hectares in size, and with a minimum width of 10 kilometers. These were then mapped from Landsat satellite imagery for the year 2000.  Changes in the extent of IFLs were identified within year 2000 IFL boundary using  Landsat Analysis Ready Data (ARD), the global forest cover loss dataset (Hansen et al., 2013), Sentinel-2 imagery, and high resolution data from Google Earth and Planet. Areas identified as “reduction in extent” met the IFL criteria in 2000, but no longer met the criteria in 2025. The main causes of change were clearing for agriculture and tree plantations, industrial activity such as logging and mining, fragmentation due to infrastructure and new roads, and fires assumed to be caused by humans.  This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. Identifies the world’s last remaining unfragmented forest landscapes, large enough to retain all native biodiversity and showing no signs of human alteration as of the year 2020. This layer also shows the reduction in the extent of Intact Forest Landscapes from 2000 to 2025.

The tropical tree cover data maps tree extent at the ten-meter scale and tree cover at the half hectare scale to enable accurate monitoring of trees in urban areas, agricultural lands, and in open canopy and dry forest ecosystems. The data extends over 4.3 billion hectares of the global tropics. The data is derived from multi-temporal convolutional neural network models applied to Sentinel optical and radar imagery. The 10-meter dataset is a binary tree extent layer that is similar to a land cover map, while the tree cover data represents fractional cover at a half-hectare scale. More details on the methodology and analyses can be found on the GitHub page. Displays tree extent at the ten-meter scale and tree cover at the half hectare scale to enable accurate monitoring of trees in urban areas, agricultural lands, and in open canopy and dry forest ecosystems

Global Human Footprint Index is the relative human influence in each terrestrial biome expressed as a percentage. The purpose is to provide an updated map of anthropogenic impacts on the environment in geographic projection which can be used in wildlife conservation planning, natural resource management, and research on human-environment interactions. Dataset Summary The Global Human Footprint Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). A value of zero represents the least influenced- the “most wild” part of the biome with value of 100 representing the most influenced (least wild) part of the biome. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). Recommended Citation Wildlife Conservation Society - WCS, and Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Footprint Dataset (Geographic). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4M61H5F. Accessed DAY MONTH YEAR.

Terrestrial and marine protected areas. Pixels where there is presence of terrestrial and marine protected were given a value of 1 (YES response) The World Database on Protected Areas (WDPA) is the largest assembly of data on the world's terrestrial and marine protected areas, containing more than 260,000 protected areas as of August 2020, with records covering 245 countries and territories throughout the world. The WDPA is a joint venture between the United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC) and the International Union for Conservation of Nature (IUCN) World Commission on Protected Areas (WCPA). Data for the WDPA is collected from international convention secretariats, governments and collaborating NGOs, but the role of custodian is allocated to the Protected Areas Programme of UNEP-WCMC, based in Cambridge, UK, who have hosted the database since its creation in 1981. **Data revision:** 2021-12-14 **Citation:** IUCN and UNEP-WCMC (2020). The World Database on Protected Areas (WDPA). Available at: www.protectedplanet.net. **Contact points:** Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** PLEASE READ THESE TERMS AND CONDITIONS CAREFULLY. IF YOU DO NOT AGREE TO ANY OF THE TERMS AND CONDITIONS DO NOT DOWNLOAD. BY DOWNLOADING THE WDPA MATERIALS MADE AVAILABLE ON PROTECTEDPLANET.NET YOU ACCEPT AND AGREE TO COMPLY WITH THE TERMS AND CONDITIONS BELOW. - No Commercial Use - Neither (a) the WDPA Materials nor (b) any work derived from or based upon the WDPA Materials (“Derivative Works") may be put to Commercial Use without the prior written permission of UNEP-WCMC. For the purposes of these Terms and Conditions, “Commercial Use" means a) any use for profit or to generate revenue, or b) any use by an individual or entity operating within or on behalf of or to the benefit of or to assist the activities of any entity other than a not-for-profit organisation. To apply for permission for Commercial Use of the WDPA Materials please send an email to business-support@unep-wcmc.org outlining your needs. - No Sub-licensing or Redistribution of WDPA Data - The WDPA Materials may not be sub-licensed in whole or in part including within Derivative Works without the prior written permission of UNEP-WCMC. You may not redistribute the WDPA Data contained in the WDPA in whole or in part by any means including (but not limited to) electronic formats such as web downloads, through web services, through interactive web maps (including mobile applications) that grant users download access, KML Files or through file transfer protocols. If you know of others who wish to use the WDPA Data please refer them to protectedplanet.net. If you wish to provide a service through which the WDPA Data are downloadable or otherwise made available for redistribution you must contact protectedareas@unep-wcmc.org for permission and further guidance. More information on the WDPA license at https://www.unep-wcmc.org/policies/wdpa-data-licence#data_policy **Map Disclaimer:** The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Final status of the Abyei area is not yet determined. **Online resources:**

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT