Filter by:
- Informatics > Spatial analysis
- Protected Areas > Protected Area Categories > Transboundary Protected Areas
- Climate Change and Biodiversity > Mitigation > Bioenergy
Add filters:
- Biodiversity, Biomass and Food Security
- Biodiversity Sciences
- Business, Biodiversity and Ecosystem Services
- Climate Change and Biodiversity
- Ecosystem Assessment
- Informatics
- International Policy and Strategy
- Marine Assessment and Decision Support
- Protected Areas
- Species
- 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
-
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
-
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
-
Impacts of climate change and selected renewable energie infrastructures on EU biodiversity and the Natura 2000 network »
This summary report aims to provide the European Commission with an overview of the likely impact of climate change on biodiversity in the European Union and indications as to how the design and implementation of current policy might need to be adapted in order to ensure that the EU respects its commitment to reduce biodiversity loss by 2010 and beyond.
Resource Type: Reports -
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 -
Mountains and Tree Cover in Mountain Regions (2002) »
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. 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 / Maps -
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 -
The Natural Fix »
The report, the fifth in UNEP's 'rapid response assessment' series, looks beyond forests and the REDD debates to the potential of natural and agricultural ecosystems to capture and store carbon. It examines the potential for gaining multiple benefits for livelihoods and ecosystem services through managing ecosystem carbon and considers the implications for policy.
Resource Type: Reports -
The Last Stand of the Orangutan - State of emergency: illegal logging, fire and palm oil in Indonesia's national parks »
The Last Stand of the Orangutan was prepared by a Rapid Response Team at UNEP/GRID-Arendal and UNEP World Conservation Monitoring Centre as a broad collaborative effort, involving contributors from the Ministry of Environment and Ministry of Forestry, Indonesia, and partners of the Great Apes Survival Project (GRASP).
Resource Type: Reports
