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Title: Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity
Authors: Bustamante, Mercedes M.C.
Roitman, Iris
Aide, T. Mitchell
Alencar, Ane A.C.
Anderson, Liana Oighenstein
Aragao, L. E.O.C.
Asner, Gregory P.
Barlow, Jos
Berenguer, Erika
Chambers, Jeffrey Quintin
Costa, Marcos Heil
Fanin, Thierry
Ferreira, Laerte Guimarães
Ferreira, Joice Nunes
Keller, Michael
Magnusson, William Ernest
Morales-Barquero, Lucía
Morton, Douglas C.
Ometto, Jean Pierre Henry Balbaud
Palace, Michael W.
Peres, Carlos A.
Silvério, Divino Vicente
Trumbore, Susan Elizabeth
Guimarães Vieira, Ima Cèlia
Keywords: Biodiversity
Carbon Cycle
Carbon Emission
Ecosystem Modeling
Field Survey
Remote Sensing
Tropical Forest
Carbon Cycle
Climate Change
Environmental Protection
Theoretical Model
Tropic Climate
Carbon Cycle
Climate Change
Conservation Of Natural Resources
Models, Theoretical
Tropical Climate
Issue Date: 2016
metadata.dc.publisher.journal: Global Change Biology
metadata.dc.relation.ispartof: Volume 22, Número 1, Pags. 92-109
Abstract: Tropical forests harbor a significant portion of global biodiversity and are a critical component of the climate system. Reducing deforestation and forest degradation contributes to global climate-change mitigation efforts, yet emissions and removals from forest dynamics are still poorly quantified. We reviewed the main challenges to estimate changes in carbon stocks and biodiversity due to degradation and recovery of tropical forests, focusing on three main areas: (1) the combination of field surveys and remote sensing; (2) evaluation of biodiversity and carbon values under a unified strategy; and (3) research efforts needed to understand and quantify forest degradation and recovery. The improvement of models and estimates of changes of forest carbon can foster process-oriented monitoring of forest dynamics, including different variables and using spatially explicit algorithms that account for regional and local differences, such as variation in climate, soil, nutrient content, topography, biodiversity, disturbance history, recovery pathways, and socioeconomic factors. Generating the data for these models requires affordable large-scale remote-sensing tools associated with a robust network of field plots that can generate spatially explicit information on a range of variables through time. By combining ecosystem models, multiscale remote sensing, and networks of field plots, we will be able to evaluate forest degradation and recovery and their interactions with biodiversity and carbon cycling. Improving monitoring strategies will allow a better understanding of the role of forest dynamics in climate-change mitigation, adaptation, and carbon cycle feedbacks, thereby reducing uncertainties in models of the key processes in the carbon cycle, including their impacts on biodiversity, which are fundamental to support forest governance policies, such as Reducing Emissions from Deforestation and Forest Degradation. © 2016 John Wiley & Sons Ltd.
metadata.dc.identifier.doi: 10.1111/gcb.13087
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