Predicting Biomass of Hyperdiverse and Structurally Complex Central Amazonian Forests &Ndash; A Virtual Approach Using Extensive Field Data

Biogeosciences - Germany
doi 10.5194/bg-13-1553-2016
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Copernicus GmbH

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