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 provides spatial representation for the 234 “Data Sheet Sites” in the Centres of Plant Diversity (Davis et al. 1994-1997). In addition to the 234 priority sites selected for Data Sheet Site treatment, the Centres of Plant Diversity volumes recognize a number of additional sites in the Regional Summaries, but these are not included here. Theoretically, based on spatial information provided for some non-Data Sheet Sites in the CPD volumes (or even just the name of the sites in many cases), it would be possible to map many non-Data Sheet Sites. However, it would be difficult to do so consistently, and, furthermore, only the Data Sheet Sites are based on actual criteria. Specifically, to qualify for “Data Sheet” treatment in the volumes, mainland sites must have >1000 vascular plants, of which at least 100 are endemic to the site or to the phytogeographical region in which the site occurs; island floras must contain at least 50 endemic species or at least 10% of the flora must be endemic.
Resource Type: Spatial Data / Maps
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.
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.
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.
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 was derived from a variety of sources to provide a dataset of the remaining natural habitats of the Indo-Malayan Realm at around the year 1990; change over time can be seen when used alongside the original natural habitats dataset. It was produced alongside the publication "Protected Areas Systems Review of the Indo-Malayan Realm, Mackinnon, J. ed. 1997" in collaboration with The Asian Bureau for Conservation (ABC). This was produced to document the growth and changing character of the protected areas systems of the region over the ten year period 1986-1996. This was in the hope of aiding conservationists and development practioners to conserve Asia's rich biological resources upon which so many depend.
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.
Global Generalised 'Original' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the original extent of global forest cover before human impact. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This dataset can be used with the dataset showing current forest cover to identify broad change.
Global Generalised 'Current' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the current (1998) extent of global forest cover. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This general dataset of global forest cover was produced from a series of regional datasets containing more detailed information of the forest cover. This dataset can be used with the dataset showing original forest cover to identify broad change.
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.
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