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      Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon : AMAZON INTACT AND DEGRADED FOREST BIOMASS

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          Estimating the Dimension of a Model

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            Maximum entropy modeling of species geographic distributions

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              High-resolution global maps of 21st-century forest cover change.

              Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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                Author and article information

                Journal
                Global Biogeochemical Cycles
                Global Biogeochem. Cycles
                Wiley
                08866236
                November 2016
                November 2016
                November 10 2016
                : 30
                : 11
                : 1639-1660
                Affiliations
                [1 ]Embrapa Agricultural Informatics; Campinas Brazil
                [2 ]International Institute of Tropical Forestry; USDA Forest Service; Rio Piedras Puerto Rico
                [3 ]Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA
                [4 ]NASA Goddard Space Flight Center; Greenbelt Maryland USA
                [5 ]Plant Functional Biology and Climate Change Cluster; University of Technology Sydney; Sydney New South Wales Australia
                [6 ]Woods Hole Research Center; Falmouth Massachusetts USA
                [7 ]National Institute for Research in Amazonia; Manaus Brazil
                [8 ]Brazilian Agricultural Research Corporation (Embrapa); Brasília Brazil
                Article
                10.1002/2016GB005465
                c280833d-cc78-4d9a-a01b-5ecb0b23d41b
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1

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