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.
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 / MapsThis summary report aims to provide the European Commission with an overview of the likely impact of climate change on biodiversity in the European Union and indications as to how the design and implementation of current policy might need to be adapted in order to ensure that the EU respects its commitment to reduce biodiversity loss by 2010 and beyond.
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.
The seagrass dataset has been compiled by UNEP-WCMC in collaboration with Dr Frederick T. Short, University of New Hampshire, USA to show the global distribution and biodiversity of seagrass species. This dataset has been created from multiple sources and was published in "The World Atlas of Seagrasses" (2003). It is derived from the range data for the individual species.
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 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 / MapsThis JNCC-commissioned report highlights biodiversity impacts of indirect land use change caused by biofuel production. Increased demand for biofuels to achieve renewable energy targets is putting pressure on biodiversity worldwide. The research highlights a new and so far little understood threat: the impact of indirect land use change on biodiversity.
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.
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 / MapsIn 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: ReportsThe Great Apes, including the chimpanzee, gorilla and orangutan, are threatened with extinction. All species are rapidly declining in abundance, even within protected areas.The main factors responsible for this decline are loss and degradation of habitat, and hunting. Construction of roads in forest areas is particularly damaging, as such development facilitates hunting and other activities which lead to habitat destruction.
This report assesses the impact of infrastructural development on great ape populations, using the GLOBIO modelling approach. GLOBIO is a multivariable spatial model, which estimates the extent of land area with reduced abundance and diversity of living organisms, as a result of infrastructural development. The model can also be used to develop scenarios of possible future impacts, based on the current rates of infrastructural development.
Resource Type: ReportsCoral reefs are a critical global resource, both biologically, and in socio-economic terms. Coral reefs are also highly sensitive to climatic influences and appear to number among the most sensitive of all ecosystems to temperature changes, exhibiting the phenomenon known as coral bleaching when stressed by higher than normal sea temperatures.
Resource Type: ReportsThe Last Stand of the Orangutan was prepared by a Rapid Response Team at UNEP/GRID-Arendal and UNEP World Conservation Monitoring Centre as a broad collaborative effort, involving contributors from the Ministry of Environment and Ministry of Forestry, Indonesia, and partners of the Great Apes Survival Project (GRASP).
Resource Type: Reports©2013 UNEP All rights reserved