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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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Review of the Literature on the Links between Biodiversity and Climate Change »
UNEP-WCMC has been providing technical support to the work of the Convention on Biological Diversity (CBD) on biodiversity and climate change. We carried out three reviews of the recent scientific literature and these fed into the deliberations of the CBD’s Second Ad Hoc Technical Expert Group (AHTEG) on Biodiversity and Climate Change. These reviews, entitled Links between Biodiversity and Climate change: Impacts, Adaptation and Mitigation, have now been published as no 42 of the CBD Technical Series. This publication complements the main report from the CBD AHTEG which appears as CBD Technical Series No. 41 Connecting Biodiversity and Climate Change Mitigation and Adaptation.
Resource Type: Reports -
Carbon Calculator »
This innovative tool provides users with initial estimates of embedded carbon within an identified spatial area such as a protected area or any user-defined polygon drawn on a global map.
Resource Type: Tools / Applications -
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 -
Carbon and biodiversity relationships in tropical forests »
This paper provides an overview of the current state of knowledge regarding relationships between carbon and biodiversity in tropical forests.
Resource Type: Reports -
UN-REDD Policy Brief: REDD+ Multiple Benefits »
On October 16, at the REDD+ Day of CBD COP 11 in Hyderabad, the UN-REDD programme launched a policy brief focusing on multiple benefits and safeguards under REDD+. The paper elaborated on the use of tools and data to support decisions, and presented examples from implementation in REDD+ countries.
REDD+ is increasingly considered to have the potential to contribute to a range of policy goals in addition to climate change mitigation in the forestry sector. It is also recognized that there are social and environmental risks that may arise as the REDD+ mechanism is being implemented.
What has been less widely acknowledged is that avoiding significant risks and securing additional benefits from REDD+ could be the key to the overall success of the mechanism. By securing benefits beyond carbon, REDD+ can draw support from broader social and political constituencies; demonstrate that it enables a wider range of values to be realized; and generates sustainable income sources.
For governments and other stakeholders to adopt a broader approach to REDD+, a strong evidence base is needed to demonstrate that additional benefits will indeed be achieved, and contributions to national and local priorities accomplished. The Policy Brief outlines a series of analytical approaches that can help provide an evidence base to inform REDD+ decisions. It focuses on addressing environmental risks and benefits, and provides examples from Panama, Nigeria, DRC and Indonesia of where these approaches are already used.The policy brief was drafted collaboratively with UNEP by UNEP-WCMC as part of their work for the UN-REDD Programme.
Resource Type: Tools / Applications -
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 -
What are the ecosystem-derived benefits of REDD+ and why do they matter? »
The paper provides an analysis of the ecosystem-derived multiple benefits of REDD+.
The terminology around multiple benefits is not yet clear cut. Here, the different terms in use are reviewed and suggestions are made about how terms can be used in a consistent way.
Resource Type: Reports -
Brazil: Atlantic Forest (Mata Atlantica), Instituto Terra »
