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 dataset shows the global distribution of cold-water coral reefs. Data was compiled and imported into GIS format by UNEP-WCMC sourced from A. Freiwald, Alex Rogers and Jason Hall-Spencer, and other contributors. Full source information is provided within the attributes for each record within the database. Points on the map indicate observed reefs of varying size and stages of development, but not the actual area covered. The high density of reefs shown in the North Atlantic most probably reflects the intensity of research in this region. Further discoveries are expected worldwide, particularly in the deeper waters of subtropical and tropical regions
Resource Type: Spatial Data / MapsThese posters celebrate:
* The International Year of Ecotourism (2002)
* The International Year of Mountains (2002)
* The International Year of Freshwater (2003)
This poster series was created to highlight issues in mountain biodiversity, in celebration of the International Year of Mountains, 2002.
Resource Type: PostersThese posters, about Mountain Protected Areas and Indigenous Community Conserved Areas, were created for the 10th Conference of the Parties of the Convention on Biological Diversity, October 2010.
Resource Type: Posters
In 2008 UNEP-WCMC produced a report with a consortium of Chinese and international partners on research needs for reducing poverty through better ecosystem management in China. This work was for DFID, NERC and ESRC of the UK government, as a contribution to their design of a proposed international research programme on ecosystem services for poverty alleviation (www.nerc.ac.uk/research/programmes/espa/) The China ESPA report identified that China’s great progress in poverty reduction has slowed, as the remaining poor tend to be found in environments of low productivity or high risk of ecosystem degradation, such as mountains, grasslands and deserts. The government of China is investing heavily in poverty reduction and environmental management, with opportunities for improving the synergies between these activities. Research needs include better understanding of ecosystem functioning for multiple services, and development of methods to analyse policies and projects for both poverty reduction and supply of ecosystem services.
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 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.
This report presents comprehensive and up-to-date information and data on marine cold-water coral reefs from around the world. Cold Water Coral Reefs: Out of Sight - No Longer Out of Mind aims to provide policy makers with the information required to take concerted action in the conservation, protection and sustainable management of these beautiful, largely unexplored and fragile coral reefs.
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.
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.
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.
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 / MapsChapter from Biodiversity Loss & Conservation in Fragmented Forest Landscapes. The Forests of Montane Mexico and South America.
Resource Type: Reports©2013 UNEP All rights reserved