From small-scale forest structure to Amazon-wide carbon estimates

Edna Rödig; Nikolai Knapp; Rico Fischer; Friedrich J. Bohn; Ralph Dubayah; Hao Tang; Andreas Huth

doi:10.1038/s41467-019-13063-y

Nature Communications (Nov 2019)

From small-scale forest structure to Amazon-wide carbon estimates

Edna Rödig,
Nikolai Knapp,
Rico Fischer,
Friedrich J. Bohn,
Ralph Dubayah,
Hao Tang,
Andreas Huth

Affiliations

Edna Rödig: Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental Research
Nikolai Knapp: Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental Research
Rico Fischer: Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental Research
Friedrich J. Bohn: Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental Research
Ralph Dubayah: Department of Geographical Sciences, University of Maryland, College Park
Hao Tang: Department of Geographical Sciences, University of Maryland, College Park
Andreas Huth: Department of Ecological Modelling, UFZ - Helmholtz Centre for Environmental Research

DOI: https://doi.org/10.1038/s41467-019-13063-y
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 7

Abstract

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Improving estimates of forest biomass based on remote sensing data is important to assess global carbon cycling. Here the authors develop an approach to use forest gap models to simulate lidar waveforms and compare the outputs with ICESAT-1 GLAS profiles, showing improved estimates across the Amazon basin.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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