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  World Database on Protected Areas (WDPA) »

  The World Database on Protected Areas (WDPA) is the most comprehensive global spatial dataset on terrestrial and  marine protected areas. Protected areas are internationally recognised as major tools in conserving species and ecosystems, and up to date information on protected areas is essential to fully enable conservation and development activities.

  Resource Type: Spatial Data / Maps
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  Global Seagrass Species Richness (2003) »

  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 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
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  KML File of World Heritage Sites »

  This KML layer includes key information on the natural and mixed World Heritage sites that were inscribed on the UNESCO World Heritage List as of 7 August 2012. The information comes from the latest version of the World Database on Protected Areas (WDPA).

  Resource Type: Spatial Data / Maps
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  Biogeographic Realms (Generalised) (2004) »

  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

  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
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  Indirect Land Use Change from biofuel production: implications for biodiversity »

  This JNCC-commissioned report highlights biodiversity impacts of indirect land use change caused by biofuel production. Increased demand for biofuels to achieve renewable energy targets is putting pressure on biodiversity worldwide. The research highlights a new and so far little understood threat: the impact of indirect land use change on biodiversity.

  Resource Type: Tools / Applications
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  Global Wilderness (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

  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
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  Holdridge's Life Zones (1992) »

  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

  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
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  Biodiversity monitoring for REDD+ »

  UNEP-WCMC, with the financial support of the UN-REDD programme, wrote a paper on biodiversity monitoring for REDD+ published in the journal "Current Opinion in Environmental Sustainability" as part of ongoing work on REDD+ safeguards. The paper observes the following three challenge to biodiversity monitoring for REDD: choosing which aspects of biodiversity to monitor, the difficulty of attributing particular changes to REDD+ and the likely scarcity of resources for biodiversity monitoring. It proposes three responses which may address these challenges: 1) agreed policy targets that identify what should be monitored; 2) making links to existing biodiversity monitoring and to monitoring to estimate GHG emissions and removals; and 3) developing clear theories of change to assist in determining which changes in biodiversity can be attributed to REDD+. The paper is available on the journal website here.

  Resource Type: Tools / Applications
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  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
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  Udvardy's Biogeographical Provinces (1975) »

  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

  This dataset was prepared by IUCN as a contribution to the UNESCO MAB Programme.
  The main purpose of the work was to devise a satisfactory classification of the world's biotic areas for purposes of conservation. It is the fourth attempt in a series of revisions, updating the previous three works written by Dasmann.
  The logic behind the system was that the plant and animal world occurs within
  the biosphere of the Earth in the form of an intertwined network of individuals,
  populations and interacting systems. To be able to view them in a systematic way, the biologist may use the following approaches:
  Taxonomic order, Ecological order, Phylogenetic order (origins and history).
  Biogeographic order - grouping the above entities on a geographic basis.

  To define geographic units for conservation purposes the following were considered:
  (a) the distribution of species and (b) the distribution of ecosystem units. The
  result was a system serving both aims, a hierarchical system of geographical areas which would give a framework for conserving species as well as ecologic areas.
  These hierarchical Biogeographical entities were named Realms, Biomes and Provinces.

  The first subdivision, the Realm, used the phylogenetic subdivisions of the world, unifying those for flora and fauna. It is a continent or sub-continent-sized area
  with unifying features of geography and flora/fauna/vegetation. Eight Realms were distinguished. The second division is the Biome. These were not the same as the
  major vegetation formations of the world (see UNESCO, 1973), but combine the features of a major vegetation type with climate. There are 14 of these. These
  were largely based on the work of Dasmann. The third, most detailed, subdivision was the Province, delimited on a faunal, floral and ecological basis. There are
  186 of these.

  Resource Type: Spatial Data / Maps