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.
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.
The report, the fifth in UNEP's 'rapid response assessment' series, looks beyond forests and the REDD debates to the potential of natural and agricultural ecosystems to capture and store carbon. It examines the potential for gaining multiple benefits for livelihoods and ecosystem services through managing ecosystem carbon and considers the implications for policy.
Resource Type: ReportsHow do bioenergy policies relate to the REDD+ mechanism, is the subject of this new Bioenergy Issue Paper jointly authored by UNEP and UNEP-WCMC.
The potential contribution of bioenergy in reducing global emissions of greenhouse gases has been widely debated, both in terms of climate change mitigation potential and potential risk of increases in greenhouse gas emissions resulting from land use change. This has raised the question of how bioenergy policies relate to the REDD+ mechanism developed under the UNFCCC. This issue paper examines the complexity of this relationship and stresses the importance of ensuring policy coherence across the relevant sectors.
For a look at the UNEP Issue Paper Series, please visit:
http://www.unep.org/bioenergy/Issues/UNEPIssuePaperSeries/tabid/79387/Default.aspx
Deforestation is a main driver of climate change and biodiversity loss. An incentive mechanism to reduce emissions from deforestation and forest degradation (REDD) is being negotiated under the United Nations Framework Convention on Climate Change. Here we use the best available global data sets on terrestrial biodiversity and carbon storage to map and investigate potential synergies between carbon and biodiversity-oriented conservation.
Resource Type: Journal PapersRecent climate talks in Bali have made progress toward action on deforestation and forest degradation in developing countries, within the anticipated post-Kyoto emissions reduction agreements. As a result of such action, many forests will be better protected, but some land-use change will be displaced to other locations. The demonstration phase launched at Bali offers an opportunity to examine potential outcomes for biodiversity and ecosystem services. Research will be needed into selection of priority areas for reducing emissions from deforestation and forest degradation to deliver multiple benefits, on-the-ground methods to best ensure these benefits, and minimization of displaced land-use change into nontarget countries and ecosystems, including through revised conservation investments.
Resource Type: Journal PapersThis 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: ReportsThis paper provides an overview of the current state of knowledge regarding relationships between carbon and biodiversity in tropical forests.
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.
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©2013 UNEP All rights reserved