Providing powerful modeling and analytical tools to turn oceans of data into knowledge and intelligence in support of REDD projects (Reduced Emissions from Deforestation and Forest Degradation).

Dinamica EGO has been applied to numerous environmental studies, including the modeling of deforestation in the Amazon from local (1) to basin-wide scales (2,3), land-use and cover change in the Atlantic Forest (4) and in the dry tropical forest of Mexico (5), urban dynamics (6,7), logging in the Amazon (8), and forest fire risk (9). In addition, the application of Dinamica EGO was central to helping develop the very pioneer studies of REDD, such as the costs and benefits of reducing carbon emissions from deforestation and forest degradation in the Brazilian Amazon (10), the role of protected areas in reducing carbon emissions in the Brazilian Amazon (11), the co-benefits of REDD in Xingu headwaters (12), a proposal to end deforestation in the Brazilian Amazon (13), and how REDD+ could boost Brazil-nut production in Madre de Dios, Peru (14), among others.

However, we do not support the application of deforestation modeling to fix REDD baselines for crediting purpose. See Soares-Filho presentation at MEASUREMENT, REPORTING AND VERIFICATION IN LATIN AMERICAN REDD+ PROJECTS CIFOR WORKSHOP - MARCH 8-9, 2012 - PETRÓPOLIS, BRAZIL.

Dinamica EGO - Modeling in Support of Sound Policy Development.

See other intelligent examples of modeling applied to REDD: Our project in the MAP region (Madre de Dios, Acre and Pando).

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