Markedly divergent estimates of <scp>A</scp> mazon forest carbon density from ground plots and satellites

dc.contributor.authorEdward T. A. Mitchard
dc.contributor.authorTed R. Feldpausch
dc.contributor.authorRoel J. W. Brienen
dc.contributor.authorGabriela López‐González
dc.contributor.authorAbel Monteagudo
dc.contributor.authorTimothy R. Baker
dc.contributor.authorSimon L. Lewis
dc.contributor.authorJon Lloyd
dc.contributor.authorCarlos Alberto Quesada
dc.contributor.authorManuel Gloor
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T13:50:49Z
dc.date.available2026-03-22T13:50:49Z
dc.date.issued2014
dc.descriptionCitaciones: 314
dc.description.abstractPantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space.
dc.identifier.doi10.1111/geb.12168
dc.identifier.urihttps://doi.org/10.1111/geb.12168
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/43062
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofGlobal Ecology and Biogeography
dc.sourceUniversity of Edinburgh
dc.subjectPantropical
dc.subjectDeforestation (computer science)
dc.subjectVegetation (pathology)
dc.subjectCarbon cycle
dc.subjectAmazon rainforest
dc.subjectEnvironmental science
dc.subjectBiomass (ecology)
dc.subjectField (mathematics)
dc.subjectGrassland
dc.subjectReducing emissions from deforestation and forest degradation
dc.titleMarkedly divergent estimates of <scp>A</scp> mazon forest carbon density from ground plots and satellites
dc.typearticle

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