Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
Based on the Wilderness Index developed by the Australian Heritage Commission (R. Lesslie, in litt., 30 May 1998). The wilderness value of any given point is essentially a measure of remoteness from human influence and is assessed on the basis of: remoteness from settlement (settled land or points of permanent occupation), from access (constructed vehicle access routes), and apparent naturalness (remoteness from permanent manmade structures) (Lesslie and Maslen, 1995). The analysis is carried out on a grid, using data from the Digital Chart of the World (DCW), and remoteness is measured as a distance from each grid point to the nearest feature of each class within a given radius (generally 30 km). Wilderness value is the sum of standardised values for each indicator class.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset shows the global distribution of wetlands. It was produced at UNEP-WCMC from various sources alongside the publication 'Wetlands in Danger", Dugan, P ed. (1993).
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset shows the location of tropical montane cloud forest sites as recorded in a worldwide inventory compiled by UNEP-WCMC and published in "A Global Directory of Tropical Montane Cloud Forests", Aldrich et al., 1997. This inventory was compiled from literature searches and correspondence with regional experts, and contains a total of 529 sites. The central location for each site is recorded but does not identify the great variability in their size, which ranges from 50 hectares to hundreds of square kilometres.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn requires a definition of mountains or mountain areas. Altitude and slope and the environmental gradients they generate are key components of such a definition, but their combination is problematic. Simple altitude thresholds both exclude older and lower mountain systems and include areas of relatively high elevation that have little topographic relief and few environmental gradients. Using slope as a criterion on its own or in combination with altitude can resolve the latter problem, but not the former. As a first step to evaluating global mountain forest resources and the threats to them, UNEP-WCMC (in collaboration with the Environmental Change Institute and kindly supported by the Swiss Agency for Development and Co-operation - SDC) in 2000 made a first attempt to map the mountain forests of the world.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset was created show the original habitat types as they were before man's influence in the Indo-Malayan realm; change over time can be seen when used alongside the remaining natural habitats dataset. These datasets were produced alongside the publication "Protected Areas Systems Review of the Indo-Malayan Realm, Mackinnon, J. ed. 1997" in collaboration with The Asian Bureau for Conservation (ABC). This was produced to document the growth and changing character of the protected areas systems of the region over the ten year period 1986-1996. This was in the hope of aiding conservationists and development practioners to conserve Asia's rich biological resources upon which so many depend.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn requires a definition of mountains or mountain areas. Altitude and slope and the environmental gradients they generate are key components of such a definition, but their combination is problematic. Simple altitude thresholds both exclude older and lower mountain systems and include areas of relatively high elevation that have little topographic relief and few environmental gradients. Using slope as a criterion on its own or in combination with altitude can resolve the latter problem, but not the former. The mountains dataset shows the location of mountain land estimated from a digital elevation model using criteria based on elevation alone (the upper three classes: > 2 500 metres) and at lower elevation, on a combination of elevation, slope and local elevation range. This is an update of the Mountain's of the World 2000 and was produced for the UNEP-WCMC publication Mountain Watch, 2002.
The mountains dataset has been overlayed with a global data set on percent tree cover taken from MODIS 1-km resolution percent tree cover data, courtesy of University of Maryland Global Land Cover Facility. Species richness, density and forest height tend to reduce with increasing altitude; the boundary between forest vegetation and more open ground cover at higher elevation 'the treeline' is an ecological marker signifying the transition to more extreme climatic conditions.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset was derived from a variety of sources to provide a dataset of the remaining natural habitats of the Indo-Malayan Realm at around the year 1990; change over time can be seen when used alongside the original natural habitats dataset. It was produced alongside the publication "Protected Areas Systems Review of the Indo-Malayan Realm, Mackinnon, J. ed. 1997" in collaboration with The Asian Bureau for Conservation (ABC). This was produced to document the growth and changing character of the protected areas systems of the region over the ten year period 1986-1996. This was in the hope of aiding conservationists and development practioners to conserve Asia's rich biological resources upon which so many depend.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
The Global Marine Turtle Nesting database provides the distribution of
marine turtles. Information was obtained from published and unpublished
literature, and through liaison with turtle fieldworkers. It was intended that
the database would be of use to a wide audience, including biologists,
coastal planners and those concerned with emergency response to oil spills.
The marine turtles database of nesting and feeding sites was developed by
UNEP-WCMC over a number of years and contains source information from
1949 to 1993. This dataset is no longer being maintained and must be used
With caution.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
The Global Marine Turtle Nesting and Feeding Sites database provides the distribution of marine turtles. Information was obtained from published and unpublished literature, and through liaison with turtle fieldworkers. It was intended that the database would be of use to a wide audience, including biologists, coastal planners and those concerned with emergency response to oil spills.
The marine turtles database of nesting and feeding sites was developed by UNEP-WCMC over a number of years and contains source information from 1949 to 1993.
This dataset is no longer being maintained and must be used with caution.
©2013 UNEP All rights reserved