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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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BINU Experience and Guidance »
This collaborative project, sponsored by the Global Environment Facility (GEF) and others, developed biodiversity indicators to support planning and decision-making at the national level in four participating countries. In each country national partners developed and tested several indicators for a single focal ecosystem, using an iterative process of consultation, inventory and synthesis of existing data.
The BINU project has launched this 20-page booklet on its experience and lessons learned in developing biodiversity indicators for national use.
Resource Type: Reports -
Global Seagrass Species Richness (2003) »
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 seagrass dataset has been compiled by UNEP-WCMC in collaboration with Dr Frederick T. Short, University of New Hampshire, USA to show the global distribution and biodiversity of seagrass species. This dataset has been created from multiple sources and was published in "The World Atlas of Seagrasses" (2003). It is derived from the range data for the individual species.
Resource Type: Spatial Data / Maps -
Biogeographic Realms (Generalised) (2004) »
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.This map is a simplified representation of the eight Biogeographical Realms of the world. This global map provides a useful general framework for conducting biogeographical or macroecological research. The realms are based originally on ecoregion delineations on hundreds of previous biogeographical studies, and refined and synthesized existing information in regional workshops over 10 years to assemble the global dataset. Ecoregions were then nested within two higher-order classifications to produce biomes (14) and biogeographic realms (8). Together, these nested classification levels provide a framework for comparison among units and the identification of representative habitats and species assemblages.
Resource Type: Spatial Data / Maps -
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 -
Protected Area Management Effectiveness Assessments in Europe: A review of application, methods and results (2010) »
A European Study on protected area management effectiveness assessments was carried out between May 2009 and March 2010, to provide an overview of existing studies, evaluation methods and results. This study was initiated in response to the Global Study’s insufficient coverage of the European sub-region, and as protected area governance in Europe has distinct characteristics that justified a separate analysis. The study was led by the Universities of Greifswald and Queensland, in partnership with UNEP-WCMC, EUROPARC Federation and the German Federal Agency for Nature Conservation (BfN).
Resource Type: Reports -
Management Effectiveness Evaluation in Protected Areas – a global study (2nd edition) »
The Global Study into management effectiveness evaluation was conducted between late 2005 and 2010. In cooperation with many people across the world, it aimed to strengthen the management of protected areas by compiling the existing work on management effectiveness evaluation, reviewing methodologies, finding patterns and common themes in evaluation results, and investigating the most important factors leading to effective management.
Resource Type: Reports -
Ecosystems and Human Well-Being: Biodiversity Synthesis »
This report presents a synthesis and integration of the findings concerning biodiversity contained in the reports of the four Millennium Assessment Working Groups (Condition and Trends, Scenarios, Responses, and Sub-global Assessments).
Resource Type: Reports -
Evaluating Effectiveness: A framework for assessing management effectiveness of protected areas (2nd Edition 2009) »
The success of protected areas as a tool for conservation is based around the assumption that they are managed to protect the values that they contain. To be effective, management should be tailored to the particular demands of the site, given that each protected area has a variety of biological and social characteristics, pressures and uses. Achieving effective management is not an easy task – it requires adopting appropriate management objectives and governance systems, adequate and appropriate resourcing and the timely implementation of appropriate management strategie and processes. It is unlikely to be achieved fully without an approach to management that is inquiring an reflective – that seeks to understand how effective the current management regime is and how it could be improved. Information on management effectiveness is thus a cornerstone of good management.
Resource Type: Reports
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Reducing Emissions from Deforestation: global mechanisms, conservation and livelihoods »
This briefing considers the implications for biodiversity conservation and local people’s livelihoods of the current discussion on reducing emissions from deforestation in developing countries (RED-DC, henceforth RED) under the UN Framework Convention on Climate Change (UNFCCC). The potential for RED to deliver multiple benefits for biodiversity conservation, livelihoods and other ecosystem services is well documented (UNEP-WCMC 2007). But it is important to note that RED could also have negative impacts on biodiversity and local livelihoods, for example as a result of the displacement of deforestation.
Resource Type: Reports
