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  WDPA Marine »

  The WDPA-Marine is dedicated to providing the most comprehensive set of marine protected areas (MPAs) data available. The dataset focuses on MPAs and representation of the diverse species and habitats found in the marine environment. The tools itself features the attributes of each MPA, gives users an advanced search function, provides a viewer through Google Earth and links through to other detailed information such as the Global Biodiversity Information Facility.

  Resource Type: Tools / Applications

• The Contribution of Brazilian Conservation Units to the National Economy »

  This publication presents the results of an analysis on the economic impact and the potential of five of goods and services provisioned by conservation units for the Brazilian economy and society: forest products, public use, carbon, water and sharing of tax revenue.

  Resource Type: Tools / Applications
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  Global Seagrass Distribution (2005) »

  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 of seagrass species. This dataset has been created from multiple sources and was used in the creation of the "World Atlas of Seagrasses" (2003). This polygon feature dataset is an update of the data used in the Atlas and is a unique data holding about the state of the world's seagrasses. For a complete overview of global seagrass distribution this dataset should be displayed together with the associated point dataset.
   

  Resource Type: Spatial Data / Maps
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  Tropical Montane Cloud Forest Sites (1997) »

  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 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.
   

  Resource Type: Spatial Data / Maps
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  Management Effectiveness Evaluation in Protected Areas - a global study (1st edition) »

  The Global Study into management effectiveness evaluation was conducted between late 2005 and 2007. In cooperation with many people across the world, we 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. The project was supported by WWF International, the Nature Conservancy and the University of Queensland, and worked under the auspices of IUCN World Commission on Protected Areas.

  Resource Type: Tools / Applications
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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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  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