Protected Planet is a new initiative to showcase the world's protected areas and is the most complete global dataset on terrestrial and marine protected areas. The initiative puts digital information about national parks and protected areas at the fingertips of global internet users, with the 'citizen science’ approach enabling anyone to edit and contribute to protected areas information.
Resource Type: Spatial Data / MapsUNEP-WCMC has been working closely with partners including the CBD Secretariat to implement COP Decision IX/20, to develop an online interactive map and associated tools to support decision making for the conservation and sustainable use of biodiversity in the open ocean and deep seas. Building upon this decision, and incorporating related needs in the Island Biodiversity and Protected Areas Programme of Work, UNEP-WCMC has initiated a collaborative Global Marine Data Partnership, whose aim is to:
These activities directly respond to SBSTTA recommendation XIV/3, which will be considered by COP10, through, inter alia, enabling improved assessment activities, supporting the identification of ecologically or biologically significant marine areas (EBSAs), and promoting better understanding of specific and cumulative human impacts, including those of invasive alien species
Resource Type: Tools / ApplicationsOver recent decades, biodiversity conservation and poverty reduction have both become international societal and political goals. There is recognition of the links between these two goals both within the Convention on Biological Diversity and the Millennium Development Goals. However, the causal relationships are not so simple either that one can say poverty causes biodiversity loss, or improvements in biodiversity reduce poverty. This suggests a need to be more specific in defining what types of poverty and biodiversity issues are being assessed.
Two “state of knowledge” reviews were commissioned to explore the evidence base for two common assumptions about the link between biodiversity conservation and poverty reduction: 1) that the poor depend on biodiversity; and 2) that biodiversity conservation can be a mechanism for poverty reduction. These attempt to tease apart the issues of what type of poverty and what type of biodiversity are being assessed.
Resource Type: ReportsDatasets 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.
This dataset shows the global distribution of wetlands. It was produced at UNEP-WCMC from various sources alongside the publication 'Wetlands in Danger", Dugan, P ed. (1993).
In 2008, the Convention on Biological Diversity adopted scientific criteria for identifying ecologically or biologically significant marine areas in need of protection on the open oceans and deep seas.
While much scientific discovery lies ahead, available information and current and emerging methodologies already allow us to begin identifying oceanic features that are likely of particular ecological or biological importance.
The CBD-mandated Biodiversity Indicators Partnership (BIP) is a global initiative that has operated since 2007, promoting and coordinating development and delivery of biodiversity indicators in support of the CBD and related Conventions, national and regional governments and a range of other sectors. UNEP-WCMC is the official Secretariat of the BIP.
Resource Type: Tools / ApplicationsDatasets 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.
This dataset shows the location of tropical montane cloud forest sites as recorded in a worldwide inventory compiled by UNEP-WCMC and published in "A Global Directory of Tropical Montane Cloud Forests", Aldrich et al., 1997. This inventory was compiled from literature searches and correspondence with regional experts, and contains a total of 529 sites. The central location for each site is recorded but does not identify the great variability in their size, which ranges from 50 hectares to hundreds of square kilometres.
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.
The Global Marine Turtle Nesting database provides the distribution of
marine turtles. Information was obtained from published and unpublished
literature, and through liaison with turtle fieldworkers. It was intended that
the database would be of use to a wide audience, including biologists,
coastal planners and those concerned with emergency response to oil spills.
The marine turtles database of nesting and feeding sites was developed by
UNEP-WCMC over a number of years and contains source information from
1949 to 1993. This dataset is no longer being maintained and must be used
With caution.
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.
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©2013 UNEP All rights reserved