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Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity

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Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. / Bustamante, Mercedes M. C.; Anderson, Liana; Aragão, Luiz; Barlow, Bernard Josiah; De Berenguer Cesar, Erika; Ferreira, Joice; Morton, D.; Peres, Carlos A.; Guimaraes Vieira, Ima Celia.

In: Global Change Biology, Vol. 22, No. 1, 01.2016, p. 92-109.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Bustamante, MMC, Anderson, L, Aragão, L, Barlow, BJ, De Berenguer Cesar, E, Ferreira, J, Morton, D, Peres, CA & Guimaraes Vieira, IC 2016, 'Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity', Global Change Biology, vol. 22, no. 1, pp. 92-109. https://doi.org/10.1111/gcb.13087

APA

Bustamante, M. M. C., Anderson, L., Aragão, L., Barlow, B. J., De Berenguer Cesar, E., Ferreira, J., Morton, D., Peres, C. A., & Guimaraes Vieira, I. C. (2016). Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. Global Change Biology, 22(1), 92-109. https://doi.org/10.1111/gcb.13087

Vancouver

Author

Bustamante, Mercedes M. C. ; Anderson, Liana ; Aragão, Luiz ; Barlow, Bernard Josiah ; De Berenguer Cesar, Erika ; Ferreira, Joice ; Morton, D. ; Peres, Carlos A. ; Guimaraes Vieira, Ima Celia. / Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity. In: Global Change Biology. 2016 ; Vol. 22, No. 1. pp. 92-109.

Bibtex

@article{d0aa2707c48f4160b1c4e2de126a4945,
title = "Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity",
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.",
keywords = "carbon emissions, ecosystem modeling, field inventories, forest dynamics, remote sensing",
author = "Bustamante, {Mercedes M. C.} and Liana Anderson and Luiz Arag{\~a}o and Barlow, {Bernard Josiah} and {De Berenguer Cesar}, Erika and Joice Ferreira and D. Morton and Peres, {Carlos A.} and {Guimaraes Vieira}, {Ima Celia}",
year = "2016",
month = jan,
doi = "10.1111/gcb.13087",
language = "English",
volume = "22",
pages = "92--109",
journal = "Global Change Biology",
issn = "1354-1013",
publisher = "Blackwell Publishing Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity

AU - Bustamante, Mercedes M. C.

AU - Anderson, Liana

AU - Aragão, Luiz

AU - Barlow, Bernard Josiah

AU - De Berenguer Cesar, Erika

AU - Ferreira, Joice

AU - Morton, D.

AU - Peres, Carlos A.

AU - Guimaraes Vieira, Ima Celia

PY - 2016/1

Y1 - 2016/1

N2 - 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.

AB - 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.

KW - carbon emissions

KW - ecosystem modeling

KW - field inventories

KW - forest dynamics

KW - remote sensing

U2 - 10.1111/gcb.13087

DO - 10.1111/gcb.13087

M3 - Journal article

VL - 22

SP - 92

EP - 109

JO - Global Change Biology

JF - Global Change Biology

SN - 1354-1013

IS - 1

ER -