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		<doi>10.1111/gcb.13087</doi>
		<issn>1354-1013</issn>
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		<citationkey>BustamanteRAAAAABBCCFFFKMMMOPPSTV:2016:ToInMo</citationkey>
		<title>Toward an integrated monitoring framework to assess the effects of tropical forest degradation and recovery on carbon stocks and biodiversity</title>
		<year>2016</year>
		<month>Jan.</month>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PI</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>358 KiB</size>
		<author>Bustamante, Mercedes M. C.,</author>
		<author>Roitman, Iris,</author>
		<author>Aide, T. Mitchell,</author>
		<author>Alencar, Ane,</author>
		<author>Anderson, Liana O.,</author>
		<author>Aragão, Luiz Eduardo Oliveira e Cruz de,</author>
		<author>Asner, Gregory P.,</author>
		<author>Barlow, Jos,</author>
		<author>Berenguer, Erika,</author>
		<author>Chambers, Jeffrey,</author>
		<author>Costa, Marcos H.,</author>
		<author>Fanin, Thierry,</author>
		<author>Ferreira, Laerte G.,</author>
		<author>Ferreira, Joice,</author>
		<author>Keller, Michael,</author>
		<author>Magnusson, William E.,</author>
		<author>Morales-Barquero, Lucia,</author>
		<author>Morton, Douglas,</author>
		<author>Ometto, Jean Pierre Henry Balbaud,</author>
		<author>Palace, Michael,</author>
		<author>Peres, Carlos A .,</author>
		<author>Silverio, Divino,</author>
		<author>Trumbore, Susan,</author>
		<author>Vieira, Ima C. G.,</author>
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		<affiliation>Universidade de Brasília (UNB)</affiliation>
		<affiliation>Universidade de Brasília (UNB)</affiliation>
		<affiliation>Universidad Puerto Rico</affiliation>
		<affiliation>Amazon Environm Res Inst IPAM</affiliation>
		<affiliation>Natl Ctr Monitoring & Early Warning Nat Disasters</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Carnegie Inst Sci</affiliation>
		<affiliation>University of  Lancaster</affiliation>
		<affiliation>University of  Lancaster</affiliation>
		<affiliation>Univ Calif Berkeley</affiliation>
		<affiliation>Universidade Federal de Vicosa</affiliation>
		<affiliation>Vrije Univ Amsterdam</affiliation>
		<affiliation>Universidade Federal de Goias</affiliation>
		<affiliation>Embrapa Amazonia Oriental</affiliation>
		<affiliation>US Forest Serv</affiliation>
		<affiliation>Instituto Nacional de Pesquisas da Amazonia (INPA)</affiliation>
		<affiliation>Bangor University</affiliation>
		<affiliation>NASA</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>UNH, Inst Study Earth Oceans & Space</affiliation>
		<affiliation>Univ E Anglia</affiliation>
		<affiliation>Universidade de Brasília (UNB)</affiliation>
		<affiliation>Max Planck Inst Biogeochem</affiliation>
		<affiliation>Museu Paraense Emilio Goeldi</affiliation>
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		<electronicmailaddress>luiz.aragao@inpe.br</electronicmailaddress>
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		<electronicmailaddress>jean.ometto@inpe.br</electronicmailaddress>
		<journal>Global Change Biology</journal>
		<volume>22</volume>
		<number>1</number>
		<pages>92-109</pages>
		<secondarymark>A1_MEDICINA_I A1_INTERDISCIPLINAR A1_GEOGRAFIA A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_ASTRONOMIA_/_FÍSICA B1_EDUCAÇÃO C_ENGENHARIAS_II</secondarymark>
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		<keywords>carbon emissions, ecosystem modeling, field inventories, forest dynamics, remote sensing.</keywords>
		<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.</abstract>
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		<language>en</language>
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