Use este identificador para citar ou linkar para este item: http://repositorio.inpa.gov.br/handle/123/1369
Título: Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment
Autor(es): STARK, SCOTT C.
LEFSKY, MICHAEL A.
KELLER, MICHAEL
ALVES, LUCIANA F.
Schietti, Juliana
SHIMABUKURO, YOSIO EDEMIR
BRANDÃO, DIEGO O.
WOODCOCK, TARA K.
HIGUCHI, NIRO
DE CAMARGO, PLINIO B.
DE OLIVEIRA, RAIMUNDO C.
LEITOLD, VERONIKA
SALESKA, SCOTT R.
WU, JIN L.
HUNTER, MARIA O.
DE CASTILHO, CAROLINA V.
Flávia Regina Capellotto Costa
MCMAHON, SEAN M.
PARKER, GEOFFREY G.
SHIMABUKURO, MÔNICA TAKAKO
ISSN: 1461-023X
Revista: Ecology Letters
Volume: 15
Resumo: 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 similar to 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.
URI: http://repositorio.inpa.gov.br/handle/123/1369
ISSN: 1461-023X
DOI: https://dx.doi.org/10.1111/j.1461-0248.2012.01864.x
Aparece nas coleções:Coordenação de Biodiversidade (CBIO)

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