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4 GBIF-endorsed campaigns underway
Date:2/8/2008

m Development Goal (MDG) of environmental sustainability at global and regional scales.

The SCP approach depends on GBIF primary data as the basis for good measures of overall (wholesale) biodiversity. These data are integrated with environmental data to extend the predictive power of the biodiversity models. These models then must be integrated with socio-economic threats, and land use data for SCP decisions and indicators of achievement against the 2010 target. In this way, the Campaign hopes to promote, demonstrate, and enable application of GBIF primary biodiversity data to not only measure progress towards, but actually achieve the 2010 biodiversity target.

Amazon Basin Biodiversity Information Facility (ABBIF)
Contact: Victor Miyakawa, IIAP (Peru) vmiyakawa@iiap.org.pe

ABBIF is a multilateral effort led by Peru and Colombia that involves partners from Bolivia, Brazil, Colombia, Ecuador, French Guyana, Peru, Surinam and Venezuela, to unlock biodiversity data on the Amazon basin, with the development of strong collaborative links in the region. The campaign will ensure that all biodiversity databases and information systems that are developed will comply with GBIF standards and protocols. ABBIF also has the support of external organisations including INBIO Costa Rica, Argentinean Natural History Museum, CONABIO Mexico, GBIF.es SPAIN, BIOTA / UTU Finland, ETI Bioinformatics Netherlands, AndinoNet, and the New York Botanical Garden.

Once operational, ABBIF will help promote a collaborative environment to study, discover, and describe species diversity in the region, to analyse, synthesise, and share information and knowledge to promote sustainable development and human well-being.

The Campaign will address important thematic and taxonomic gaps already identified for the region, aiming at improving the primary data (species and specimens) infrastructure curre
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Contact: Meredith A. Lane
mlane@gbif.org
453-532-1484
Global Biodiversity Information Facility
Source:Eurekalert

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