Publications by authors named "Eleneide Doff Sotta"

Height measurements are essential to manage and monitor forest biomass and carbon stocks. However, accurate estimation of this variable in tropical ecosystems is still difficult due to species heterogeneity and environmental variability. In this article, we compare and discuss six nonlinear allometric models parameterized at different scales (local, regional and pantropical).

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Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS).

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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.
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While around 20% of the Amazonian forest has been cleared for pastures and agriculture, one fourth of the remaining forest is dedicated to wood production. Most of these production forests have been or will be selectively harvested for commercial timber, but recent studies show that even soon after logging, harvested stands retain much of their tree-biomass carbon and biodiversity. Comparing species richness of various animal taxa among logged and unlogged forests across the tropics, Burivalova et al.

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