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  Generalised Original and Current Forest (1998) »

  General Data License (excluding WDPA)

  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.

  Read the data policy here

  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
  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.

  Read the data policy here

  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
  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.

  Read the data policy here

  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
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  China Ecosystem Services and Poverty Alleviation Situation Analysis and Research Strategy Final Report »

  In 2008 UNEP-WCMC produced a report with a consortium of Chinese and international partners on research needs for reducing poverty through better ecosystem management in China. This work was for DFID, NERC and ESRC of the UK government, as a contribution to their design of a proposed international research programme on ecosystem services for poverty alleviation (www.nerc.ac.uk/research/programmes/espa/) The China ESPA report identified that China’s great progress in poverty reduction has slowed, as the remaining poor tend to be found in environments of low productivity or high risk of ecosystem degradation, such as mountains, grasslands and deserts. The government of China is investing heavily in poverty reduction and environmental management, with opportunities for improving the synergies between these activities. Research needs include better understanding of ecosystem functioning for multiple services, and development of methods to analyse policies and projects for both poverty reduction and supply of ecosystem services.

  Resource Type: Reports
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  Biodiversity Scenarios: Projections of 21st century change in biodiversity and associated ecosystem services »

  This synthesis focuses on estimates of biodiversity change as projected for the 21st century by models or extrapolations based on experiments and observed trends. The term “biodiversity” is used in a broad sense as it is defined in the Convention on Biological Diversity to mean the abundance and distributions of and interactions between genotypes, species, communities, ecosystems and biomes. This synthesis pays particular attention to the interactions between biodiversity and ecosystem services and to critical “tipping points” that could lead to large, rapid and potentially irreversible changes. Comparisons between models are used to estimate the range of projections and to identify sources of uncertainty. Experiments and observed trends are used to check the plausibility of these projections. In addition we have identified possible actions at the local, national and international levels that can be taken to conserve biodiversity. We have called on a wide range of scientists to participate in this synthesis, with the objective to provide decision makers with messages that reflect the consensus of the scientific community and that will aid in the development of policy and management strategies that are ambitious, forward looking and proactive.

  Resource Type: Reports
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  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
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  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
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  Mountains and Tree Cover in Mountain Regions (2002) »

  General Data License (excluding WDPA)

  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.

  Read the data policy here

  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
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  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
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  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