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A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration
Journal article   Open access   Peer reviewed

A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration

Viola Heinrich, Amelia Holcomb, Simon Besnard, Daniela Requena Suarez, Susan Cook-Patton, Clément Bourgoin, Robin Chazdon, David A Gibbs, Flavia Souza Mendes, Iain McNicol, …
Science Advances, Vol.12(27), pp.1-21
2026
PMID: 42397928
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Published Version Open Access CC BY V4.0

Abstract

Carbon - analysis Carbon - metabolism Conservation of Natural Resources Ecosystem Forests Trees Tropical Climate
Aboveground carbon (AGC) fluxes from deforestation and subsequent regrowth in tropical moist forest (TMF) are increasingly well characterized, but carbon losses and gains following partial disturbance are uncertain. We synthesized 146 studies quantifying postdisturbance AGC changes relative to undisturbed forests across TMF. Immediate AGC losses (mean ± 1 SD; 2.5 ± 2.3 years after disturbance) following partial anthropogenic disturbances were greatest for forest fires (49 ± 26%), selective logging (34 ± 20%), and edge effects (31 ± 19%). Higher-frequency and -intensity disturbances significantly increased carbon loss. After 20 years of regeneration, AGC stock was higher in recovering degraded forests (41 to 117%) compared to secondary regrowth forests after complete deforestation (1 to 74%), indicating greater regeneration potential when forest structure is preserved. Our compiled database and associated meta-analysis improve accuracy and completeness for carbon inventory reporting and modeling. Substantial AGC losses and gains from distinct degradation and recovery processes are now better characterized, serving as an evidence base for policies to halt degradation and foster recovery for climate mitigation.

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