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  The Challenge of Measuring Global Change in Wild Nature: Are Things Getting Better or Worse? »

  We briefly review recent global trends in habitat area in as many broadly-defined natural habitats as possible, and in indices of animal populations characteristic of those habitats. The information available indicates continuing declines in habitat area and species, but those data are extremely sparse.

  Resource Type: Journal Papers
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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
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  Uncertainty in predictions of extinction risk/Effects of changes in climate and land use/Climate change and extinction risk (reply) »

  The number of environmental variables used during modelling could affect the outcome, but we found no correlation between these and our estimates of extinction risk in global samples. Although further investigation is needed, it is unlikely to result in substantially reduced estimates of extinction. Anthropogenic climate change seems set to generate very large numbers of species-level extinctions.

  Resource Type: Journal Papers
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  Monitoring international wildlife trade with coded species data: response to Gerson et al »

  We suggest that well-targeted instruments that consider contextual information, such as conservation status, are the most effective and efficient approach to monitoring international wildlife trade for conservation purposes. Where relevant, such instruments could be expanded to include additional species not currently protected, or new instruments could be developed to monitor certain groups as appropriate.

  Resource Type: Journal Papers
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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
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  Conservation data for smarter business decisions »

  National Parks and other protected areas not only provide a safe haven for biodiversity, they provide benefits to local communities and preserve some of the most beautiful places on our planet. ‘Coverage of protected areas’ is also a specific indicator in the 2010 Target of the Convention on Biological Diversity.
  Obtaining the data necessary to monitor trends in protected areas requires a massive effort by national authorities to compile, analyse and then distribute this data to the centralised depository of the World Database on Protected Areas (WDPA). With a living and growing system of protected areas that now exceed 100,000 sites covering 19 million square kilometres, you can imagine that this is no small task!

  Resource Type: Journal Papers
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  Reducing Greenhouse Gas Emissions from Deforestation and Forest Degradation: Global Land-Use Implications »

  Recent climate talks in Bali have made progress toward action on deforestation and forest degradation in developing countries, within the anticipated post-Kyoto emissions reduction agreements. As a result of such action, many forests will be better protected, but some land-use change will be displaced to other locations. The demonstration phase launched at Bali offers an opportunity to examine potential outcomes for biodiversity and ecosystem services. Research will be needed into selection of priority areas for reducing emissions from deforestation and forest degradation to deliver multiple benefits, on-the-ground methods to best ensure these benefits, and minimization of displaced land-use change into nontarget countries and ecosystems, including through revised conservation investments.

  Resource Type: Journal Papers
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  Bailey's Ecoregions of the World (1989) »

  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 purpose of the work, which began in 1976, was to show how the national forests of the United States fit within the global ecoregional scheme. In this system an ecoregion is defined as any large portion of the Earth's surface over which the ecosystems have characteristics in common. There are three levels in this classification system, the Domains, the Divisions and the Provinces.

  Ecoregions of the continents are based on macroclimate (i.e., the climate that lies just beyond the local modifying irregularities of landform and vegetation). The theory behind the approach is that macroclimates are among the most significant factors affecting the distribution of life on Earth. As the macroclimate changes, the other components of the ecosystem change in response. Macroclimates influence soil formation and help shape surface topography, as well as affecting the suitability for human habitation.

  Four Domains were defined: Polar, Humid temperate, Humid tropical and Dry. The combination of temperature and rainfall to indicate major climatic zones was based on Köppen and Trewartha's work, where dry climates were treated as a separate entity from Tropical humid and Temperate humid. However, the Köppen system defines an addtional "Subtropical" division at this level.

  The next level in the Bailey system is the Divisions, and these are also climate - based, for example in the Humid temperate Domain there is Hot continental, Warm continental, Subtropical, Marine, Prairie and Mediterranean, all with Mountain variants (i.e., a total of 12 Divisions in this Domain). There are a total of 30 of these.

  The third and last level are the Provinces, which are based on physiognomy of vegetation, modified by climate. For example, the Forest-Meadow of Eastern Oceanic (Monsoon climate). There are a total of 98 of these subdivisions.

  The global map has been digitised and converted to a geographic (lat/long) projection by the WCMC, Cambridge, UK. It is also available on CD from NOAAs National Geophysical Data Center in Boulder, Colorado as part of their Global Ecosystem Database Project. http://www.ngdc.noaa.gov/Store/.

  Resource Type: Spatial Data / Maps
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  Mountain watch: map-based overview of environmental change in mountains »

  Chapter from STATUS AND TRENDS OF, AND THREATS TO, MOUNTAIN BIODIVERSITY, MARINE, COASTAL AND INLAND WATER ECOSYSTEMS: abstracts of poster presentations at the eighth meeting of the Subsidiary Body on Scientific, Technical and Technological Advice of the Convention on Biological Diversity.

  Resource Type: Reports
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  Biodiversity Data Sourcebook (1994) »

  140 pages of tabular data with supporting text and graphics, on global biodiversity. Topics are covered in a concise way, using tables supported by minimal text and graphics. They include country species diversity, threatened species, national Red Data Books, major food crops, domestic livestock, marine resources, tropical forests, protected areas and systematics collections.

  Resource Type: Reports