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 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.
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 report documents and analyses good practice examples of ecosystem-based approaches to climate change mitigation and adaptation in Europe. Case studies on ecosystem-based approaches to mitigation involved peatland restoration or conservation (11 projects) and forest conservation, restoration and reforestation (2 projects). Case studies on ecosystem-based approaches to adaptation were divided into inland waters (28 projects), coastal zone (10 projects), agriculture and forestry (11 projects) and cities (9 projects).
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.
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 / MapsUNEP-WCMC has been providing technical support to the work of the Convention on Biological Diversity (CBD) on biodiversity and climate change. We carried out three reviews of the recent scientific literature and these fed into the deliberations of the CBD’s Second Ad Hoc Technical Expert Group (AHTEG) on Biodiversity and Climate Change. These reviews, entitled Links between Biodiversity and Climate change: Impacts, Adaptation and Mitigation, have now been published as no 42 of the CBD Technical Series. This publication complements the main report from the CBD AHTEG which appears as CBD Technical Series No. 41 Connecting Biodiversity and Climate Change Mitigation and Adaptation.
Resource Type: ReportsA new, systematic review of the evidence on the effectiveness of ecosystem-based approaches to adaptation (EbA) has been carried out to review the effectiveness of EbA and highlight the knowledge gaps. This research was undertaken as a collaboration between BirdLife International, UNEP-WCMC, IIED and the University of Cambridge.
Ecosystem-based approaches to adaptation (EbA) integrate the use of biodiversity and ecosystem services into an overall strategy for helping people adapt to climate change. To date, however, insight into these approaches has often been based on anecdotal case studies of local people’s use of ecosystems. Although they are informative, they can provide rather limited insight in terms of measuring and evaluating the effectiveness of EbA, especially compared with technical or structural adaptation measures. A new, systematic review of EbA evidence has been carried out to interrogate the scientific literature and review studies from around the world, from many different ecosystems and adopting a wide range of adaptation approaches utilising ecosystems. We conclude that EbA approaches are effective and deserve greater policy attention and political support to reach their full potential.
Resource Type: Reports©2013 UNEP All rights reserved