@Article{BustamanteRAAAAABBCCFFFKMMMOPPSTV:2016:ToInMo,
author = "Bustamante, Mercedes M. C. and Roitman, Iris and Aide, T. Mitchell
and Alencar, Ane and Anderson, Liana O. and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de and Asner, Gregory P. and Barlow, Jos
and Berenguer, Erika and Chambers, Jeffrey and Costa, Marcos H.
and Fanin, Thierry and Ferreira, Laerte G. and Ferreira, Joice and
Keller, Michael and Magnusson, William E. and Morales-Barquero,
Lucia and Morton, Douglas and Ometto, Jean Pierre Henry Balbaud
and Palace, Michael and Peres, Carlos A . and Silverio, Divino and
Trumbore, Susan and Vieira, Ima C. G.",
affiliation = "{Universidade de Bras{\'{\i}}lia (UNB)} and {Universidade de
Bras{\'{\i}}lia (UNB)} and {Universidad Puerto Rico} and {Amazon
Environm Res Inst IPAM} and {Natl Ctr Monitoring \& Early Warning
Nat Disasters} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Carnegie Inst Sci} and {University of Lancaster} and
{University of Lancaster} and {Univ Calif Berkeley} and
{Universidade Federal de Vicosa} and {Vrije Univ Amsterdam} and
{Universidade Federal de Goias} and {Embrapa Amazonia Oriental}
and {US Forest Serv} and {Instituto Nacional de Pesquisas da
Amazonia (INPA)} and {Bangor University} and NASA and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and UNH, Inst Study Earth
Oceans \& Space and {Univ E Anglia} and {Universidade de
Bras{\'{\i}}lia (UNB)} and {Max Planck Inst Biogeochem} and
{Museu Paraense Emilio Goeldi}",
title = "Toward an integrated monitoring framework to assess the effects of
tropical forest degradation and recovery on carbon stocks and
biodiversity",
journal = "Global Change Biology",
year = "2016",
volume = "22",
number = "1",
pages = "92--109",
month = "Jan.",
keywords = "carbon emissions, ecosystem modeling, field inventories, forest
dynamics, remote sensing.",
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.",
doi = "10.1111/gcb.13087",
url = "http://dx.doi.org/10.1111/gcb.13087",
issn = "1354-1013",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
targetfile = "bustamante_toward.pdf",
urlaccessdate = "27 abr. 2024"
}