AI Article Synopsis

  • Disturbances from selective logging in the Amazon release over 90 Tg of carbon annually, but this is partially offset by the regrowth of forests.
  • A unique modeling approach utilizing data from 133 forest plots helps forecast carbon recovery across different regions of the Amazon, considering factors like climate, soil, and initial biomass.
  • The study finds that carbon recovery is significantly higher in regions like the Guiana Shield compared to the southern areas, where environmental stress limits regeneration, emphasizing the importance of surviving trees in the recovery process.

Article Abstract

When 2 Mha of Amazonian forests are disturbed by selective logging each year, more than 90 Tg of carbon (C) is emitted to the atmosphere. Emissions are then counterbalanced by forest regrowth. With an original modelling approach, calibrated on a network of 133 permanent forest plots (175 ha total) across Amazonia, we link regional differences in climate, soil and initial biomass with survivors' and recruits' C fluxes to provide Amazon-wide predictions of post-logging C recovery. We show that net aboveground C recovery over 10 years is higher in the Guiana Shield and in the west (21 ±3 Mg C ha-1) than in the south (12 ±3 Mg C ha-1) where environmental stress is high (low rainfall, high seasonality). We highlight the key role of survivors in the forest regrowth and elaborate a comprehensive map of post-disturbance C recovery potential in Amazonia.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217754PMC
http://dx.doi.org/10.7554/eLife.21394DOI Listing

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