UNEP-WCMC, with support from the German Federal Agency for Nature Conservation (BfN), has launched a new website highlighting the potential for actions on reducing emissions from land use change to secure additional important benefits for biodiversity and ecosystem services (co-benefits). The website demonstrates the utility of spatial analyses to assist decision makers in identifying areas where high carbon, high biodiversity priority, and ecosystem service values overlap, which represent opportunities for securing co-benefits. It showcases UNEP-WCMC’s recent work with in-country partners on developing such analyses and includes an interactive mapping tool that allows users to explore the spatial relationships between carbon and co-benefits.
Resource Type: Tools / ApplicationsThe WDPA-Marine is dedicated to providing the most comprehensive set of marine protected areas (MPAs) data available. The dataset focuses on MPAs and representation of the diverse species and habitats found in the marine environment. The tools itself features the attributes of each MPA, gives users an advanced search function, provides a viewer through Google Earth and links through to other detailed information such as the Global Biodiversity Information Facility.
Resource Type: Tools / ApplicationsEmissions from land use change mainly forest loss contribute 17 4% of total change, loss, 17.4% anthropogenic greenhouse gas emissions (IPCC 2007). The UN Framework Convention on Climate Change is currently discussing incentives for Reducing Emissions from Deforestation and forest Degradation in developing countries (REDD). In addition to securing carbon, REDD can deliver co‐benefits, including conservation of forest biodiversity and maintenance of ecosystem services. To help secure co‐benefits, it is useful to find out where high carbon, high biodiversity priority and ecosystem service values overlap.
Resource Type: PostersThe Protected Areas Thematic Network brings together the main governmental and non-governmental organisations working on PA data management in the region in order to promote the more effective sharing of information on protected areas within and between the countries of the Americas Hemisphere, building on and contributing to existing global experience in this area through close collaboration with the IUCN World Commission on Protected Areas and the UNEP World Conservation Monitoring Centre.
Resource Type: Tools / ApplicationsThis tool provides interactive maps that allow users to explore the distribution of carbon density relative to areas high in biodiversity and areas which are nationally protected for different countries around the world. Users can view layers, show or hide layer content, as well as see how the distribution of carbon and biodiversity relates to other geographical features such as rivers, coastlines, and international boundaries.
Resource Type: Spatial Data / MapsThis publication presents the results of an analysis on the economic impact and the potential of five of goods and services provisioned by conservation units for the Brazilian economy and society: forest products, public use, carbon, water and sharing of tax revenue.
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 innovative tool provides users with initial estimates of embedded carbon within an identified spatial area such as a protected area or any user-defined polygon drawn on a global map.
Resource Type: Tools / ApplicationsThis paper provides an overview of the current state of knowledge regarding relationships between carbon and biodiversity in tropical forests.
Resource Type: Reports©2013 UNEP All rights reserved