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- About UNEP-WCMC
Policies
UNEP-WCMC does not assert any intellectual property rights in the data made available to it by data providers.
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions set out in the policies below.
Datasets, Tools & Reports
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Global Wilderness (1998) »
General Data License (excluding WDPA)Datasets Available from UNEP-WCMC: Excluding WDPA
Read the data policy here
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 / Maps -
Holdridge's Life Zones (1992) »
General Data License (excluding WDPA)Datasets Available from UNEP-WCMC: Excluding WDPA
Read the data policy here
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.Holdridge’s work aimed to correlate world plant formations with simple climatic data. The system embraces all major environmental factors in three hierarchical tiers.
Level I - The Life Zone. This is determined by specific quantitative ranges of long-term average annual precipitation, mean annual biotemperature and potential evapotranspiration ratio. These are modified for montane systems.
Level II - The "Association". This is an area of land which, under undisturbed conditions, supports a distinctive natural community adapted through evolution to a specific narrow range of atmospheric and edaphic conditions. No Association can occur in more than one Life Zone.
Level III - The successional stage or cover type, which takes into account that the community may not be in its climax state, either through natural causes or through human intervention.
Resource Type: Spatial Data / Maps -
Generalised Original and Current Forest (1998) »
General Data License (excluding WDPA)Datasets Available from UNEP-WCMC: Excluding WDPA
Read the data policy here
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.Global Generalised 'Original' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the original extent of global forest cover before human impact. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This dataset can be used with the dataset showing current forest cover to identify broad change.
Global Generalised 'Current' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the current (1998) extent of global forest cover. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This general dataset of global forest cover was produced from a series of regional datasets containing more detailed information of the forest cover. This dataset can be used with the dataset showing original forest cover to identify broad change.
Resource Type: Spatial Data / Maps
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Mountains and Forests in Mountains (2000) »
General Data License (excluding WDPA)Datasets Available from UNEP-WCMC: Excluding WDPA
Read the data policy here
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.
Resource Type: Spatial Data / Maps
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Global Coral Reef Distribution (2010) »
General Data License (excluding WDPA)Datasets Available from UNEP-WCMC: Excluding WDPA
Read the data policy here
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 dataset contained in this map represents the global distribution of warm water coral reefs. It has been created from multiple sources and supercedes the dataset used in the World Atlas of Coral Reefs (2001), although some aspects of this product still originate from that datasource. This global coral reef dataset should be seen an 'interim' global product. It has been compiled from a number of data sources which have been merged together by UNEP-WCMC. The Approximate % coverage of data sources are as follows - Millennium Coral Reefs (Unvalidated) 50% - Millennium Coral Reefs (Validated) 30 % - Other sources 20%.
Resource Type: Spatial Data / Maps -
Knowledge for conservation-new technology, new players and a new approach »
How may we improve the quality, accessibility and usefulness of data about the living world? Three examples present themselves: use of new technology to build capacity for biodiversity knowledge management in the developing world; engagement of new sources of data; and harmonization of official data deriving from inter-governmental biodiversity-related treaties.
Resource Type: Journal Papers -
The Challenge of Measuring Global Change in Wild Nature: Are Things Getting Better or Worse? »
We briefly review recent global trends in habitat area in as many broadly-defined natural habitats as possible, and in indices of animal populations characteristic of those habitats. The information available indicates continuing declines in habitat area and species, but those data are extremely sparse.
Resource Type: Journal Papers -
Uncertainty in predictions of extinction risk/Effects of changes in climate and land use/Climate change and extinction risk (reply) »
The number of environmental variables used during modelling could affect the outcome, but we found no correlation between these and our estimates of extinction risk in global samples. Although further investigation is needed, it is unlikely to result in substantially reduced estimates of extinction. Anthropogenic climate change seems set to generate very large numbers of species-level extinctions.
Resource Type: Journal Papers -
Monitoring international wildlife trade with coded species data: response to Gerson et al »
We suggest that well-targeted instruments that consider contextual information, such as conservation status, are the most effective and efficient approach to monitoring international wildlife trade for conservation purposes. Where relevant, such instruments could be expanded to include additional species not currently protected, or new instruments could be developed to monitor certain groups as appropriate.
Resource Type: Journal Papers -
Mountain watch: map-based overview of environmental change in mountains »
Chapter from STATUS AND TRENDS OF, AND THREATS TO, MOUNTAIN BIODIVERSITY, MARINE, COASTAL AND INLAND WATER ECOSYSTEMS: abstracts of poster presentations at the eighth meeting of the Subsidiary Body on Scientific, Technical and Technological Advice of the Convention on Biological Diversity.
Resource Type: Reports
