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  Global Wilderness (1998) »

  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

  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 / Maps
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  Holdridge's Life Zones (1992) »

  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

  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 / Maps
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  Generalised Original and Current Forest (1998) »

  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

  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.
   

  Resource Type: Spatial Data / Maps
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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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  China Ecosystem Services and Poverty Alleviation Situation Analysis and Research Strategy Final Report »

  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: Reports

• Belize: The Mountain Pine Ridge Forest Reserve: Carbon sequestration and forest restoration »

• Canada: Fungal Inoculation of Trees as a Habitat Enhancement Tool in Second-Growth Forests »

• Managing Ingrown Douglas-fir Stands for Biodiversity, Forage, and Timber: The Farwell Canyon Study, British Columbia, Canada »

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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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  Prioritisation of target areas for forest restoration »

  This report for WWF and IUCN shows how GIS can be used to prioritise areas for forest restoration. Candidate social and ecological criteria are identified at a regional level. The Mediterranean region is used as a case study

  Resource Type: Tools / Applications