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 / MapsDatasets 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.
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 / MapsDatasets 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.
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 / MapsDatasets 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).
UNEP-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 / 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 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.
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 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.
The Global Marine Turtle Nesting and Feeding Sites 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.
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