This collaborative project, sponsored by the Global Environment Facility (GEF) and others, developed biodiversity indicators to support planning and decision-making at the national level in four participating countries. In each country national partners developed and tested several indicators for a single focal ecosystem, using an iterative process of consultation, inventory and synthesis of existing data.
The BINU project has launched this 20-page booklet on its experience and lessons learned in developing biodiversity indicators for national use.
Resource Type: ReportsThe Critical Site Network (CSN) Tool is a new online resource for the conservation of 294 species of waterbirds and the important sites upon which they depend in Africa and Western Eurasia. Leading global conservation organisations working for the protection of waterbirds and their habitats have joined forces to develop this tool, strengthening the implementation of the African-Eurasian Migratory Waterbird Agreement (AEWA) and the Ramsar Convention on Wetlands.
Resource Type: Tools / ApplicationsThis poster series was created between 2008 and 2010 to publicise the work of the 2010 Biodiversity Indicators Partnership, a global initiative of international organisations working to further develop and promote indicators for the consistent monitoring and assessment of biodiversity.
For more information about this partnership, go to www.twentyten.net.
Resource Type: Posters
The CBD-mandated Biodiversity Indicators Partnership (BIP) is a global initiative that has operated since 2007, promoting and coordinating development and delivery of biodiversity indicators in support of the CBD and related Conventions, national and regional governments and a range of other sectors. UNEP-WCMC is the official Secretariat of the BIP.
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.
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 / MapsThe UK National Ecosystem Assessment (UK NEA) is the first analysis of the UK’s natural environment in terms of the benefits it provides to society and continuing economic prosperity. Part of the Living With Environmental Change (LWEC) initiative, the UK NEA - which commenced in mid-2009 - will be reporting in early 2011. It is an inclusive process involving many government, academic, NGO and private sector institutions.
This 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 / ApplicationsThe National Biodiversity Indicators Portal is the leading resource for information on national biodiversity indicators. This portal is a companion website to the Biodiversity Indicators Partnership (BIP), which provides indicator information at the global level.
This website provides guidance and examples to support the development and effective use of biodiversity indicators. These capacity building resources are the product of more than five years of experience by UNEP-WCMC and the BIP. It is designed principally to support biodiversity indicators at the national level, but it is relevant for working from the local to global scales.
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 / Maps©2013 UNEP All rights reserved