Assessment of Bias in Pan-Tropical Biomass Predictions

Assessment of Bias in Pan-Tropical Biomass Predictions

Above-ground biomass (AGB) is an essential descriptor of forests, of use in ecological and climate-related research. At tree- and stand-scale, destructive but direct measurements of AGB are replaced with predictions from allometric models characterizing the correlational relationship between AGB, an...

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Bibliographic Details
Main Authors: Andrew Burt, Kim Calders, Aida Cuni-Sanchez, Jose Gómez-Dans, Philip Lewis, Simon L. Lewis, Yadvinder Malhi, Oliver L. Phillips, Mathias Disney
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Forests and Global Change
Subjects:
tropical forests
above-ground biomass
allometry
prediction
error
uncertainty
Online Access:https://www.frontiersin.org/article/10.3389/ffgc.2020.00012/full

Internet

https://www.frontiersin.org/article/10.3389/ffgc.2020.00012/full

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