@Article{StarkLWHCCMPSLKASSBWHCOS:2012:AmFoCa,
               author = "Stark, Scott C. and Leitold, Veronika and Wu, Jin L. and Hunter, 
                         Maria O. and Castilho, Carolina V. de and Costa, Fl{\'a}via R. C. 
                         and McMahon, Sean M. and Parker, Geoffrey G. and Shimabukuro, 
                         M{\^o}nica Takako and Lefsky, Michael A. and Keller, Michael and 
                         Alves, Luciana F. and Schietti, Juliana and Shimabukuro, Yosio 
                         Edemir and Brand{\~a}o, Diego O. and Woodcock, Tara K. and 
                         Higuchi, Niro and Camargo, Plinio B. de and Oliveira, Raimundo C. 
                         de and Saleska, Scott R.",
          affiliation = "Department of Ecology and Evolutionary Biology, University of 
                         Arizona, Tucson, AZ, USA and Department of Ecology and 
                         Evolutionary Biology, University of Arizona, Tucson, AZ, USA and 
                         Department of Ecology and Evolutionary Biology, University of 
                         Arizona, Tucson, AZ, USA and Complex Systems Research Center, 
                         University of New Hampshire, Durham, NH, USA and Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia (INPA), 
                         Coordena{\c{c}}{\~a}o de Pesquisas em Ecologia, Manaus, AM, 
                         Brazil and Instituto Nacional de Pesquisas da Amaz{\^o}nia 
                         (INPA), Coordena{\c{c}}{\~a}o de Pesquisas em Ecologia, Manaus, 
                         AM, Brazil and Smithsonian Environmental Research Center, 
                         Edgewater, United States and Smithsonian Environmental Research 
                         Center, Forest Ecology Group, Edgewater, MD, USA and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and Natural Resource 
                         Ecology Laboratory, Colorado State University, CO, USA and Complex 
                         Systems Research Center, University of New Hampshire, Durham, NH, 
                         USA and Department of Ecology and Evolutionary Biology, University 
                         of Arizona, Tucson, AZ, USA and Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA), Coordena{\c{c}}{\~a}o de Pesquisas em 
                         Ecologia, Manaus, AM, Brazil and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and Instituto Nacional de Pesquisas da 
                         Amaz{\^o}nia (INPA), Coordena{\c{c}}{\~a}o de Pesquisas em 
                         Ecologia, Manaus, AM, Brazil and Department of Ecology and 
                         Evolutionary Biology, University of Arizona, Tucson, AZ, USA and 
                         Coordenac{\~a}o de Pesquisas em Silvicultura Tropical, Instituto 
                         Nacional de Pesquisas da Amaz{\^o}nia, Manaus, AM, Brazil and 
                         Laborat{\'o}rio de Ecologia Isot{\'o}pica, Centro de Energia 
                         Nuclear na Agricultura (CENA), Universidade de S{\~a}o Paulo, 
                         S{\~a}o Paulo, Brazil and Embrapa Amaz{\^o}nia Oriental, 
                         Par{\'a}, Brazil and Department of Ecology and Evolutionary 
                         Biology, University of Arizona, Tucson, AZ, USA",
                title = "Amazon forest carbon dynamics predicted by profiles of canopy leaf 
                         area and light environment",
              journal = "Ecology Letters",
                 year = "2012",
               volume = "15",
               number = "12",
                pages = "1406–1414",
                month = "Dec.",
             keywords = "Biomass growth, carbon balance, gap fraction, leaf area profiles, 
                         remote sensing of canopy structure, LiDAR.",
             abstract = "Tropical forest structural variation across heterogeneous 
                         landscapes may control above-ground carbon dynamics. We tested the 
                         hypothesis that canopy structure (leaf area and light 
                         availability) remotely estimated from LiDAR control variation in 
                         above-ground coarse wood production (biomass growth). Using a 
                         statistical model, these factors predicted biomass growth across 
                         tree size classes in forest near Manaus, Brazil. The same 
                         statistical model, with no parameterisation change but driven by 
                         different observed canopy structure, predicted the higher 
                         productivity of a site 500 km east. Gap fraction and a metric of 
                         vegetation vertical extent and evenness also predicted biomass 
                         gains and losses for one-hectare plots. Despite significant site 
                         differences in canopy structure and carbon dynamics, the relation 
                         between biomass growth and light fell on a unifying curve. This 
                         supported our hypothesis, suggesting that knowledge of canopy 
                         structure can explain variation in biomass growth over tropical 
                         landscapes and improve understanding of ecosystem function.",
                  doi = "10.1111/j.1461-0248.2012.01864.x",
                  url = "http://dx.doi.org/10.1111/j.1461-0248.2012.01864.x",
                 issn = "1461-023X",
             language = "en",
        urlaccessdate = "16 maio 2024"
}