Data/hora: 07/06/2024 05:54:31

Biblioteca(s): 	Embrapa Amazônia Oriental.	
Data corrente: 	25/02/2013	
Data da última atualização: 	10/11/2022	
Autoria: 	STARK, S. C.; LEITOLD, V.; WU, J. L.; HUNTER, M. O.; CASTILHO, C. V. de; COSTA, F. R. C.; MCMAHON, S. M.; PARKER, G. G.; SHIMABUKURO, M. T.; LEFSKY, M. A.; KELLER, M.; ALVES, L. F.; SCHIETTI, J.; SHIMABUKURO, Y. E.; BRANDÃO, D. O.; WOODCOCK, T. K.; HIGUCHI, N.; CAMARGO, P. B. de; OLIVEIRA, R. C. de; SALESKA, S. R.	
Afiliação: 	Scott C. Stark; Veronika Leitold; Jin L. Wu; Maria O. Hunter; Carolina V. de Castilho; Flávia R. C. Costa; Sean M. McMahon; Geoffrey G. Parker; Mônica Takako Shimabukuro; Michael A. Lefsky; Michael Keller; Luciana F. Alves; Juliana Schietti; Yosio Edemir Shimabukuro; Diego O. Brandão; Tara K. Woodcock; Niro Higuchi; Plinio B. de Camargo; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Scott R. Saleska.	
Título: 	Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment.	
Ano de publicação: 	2012	
Fonte/Imprenta: 	Ecology Letters, v. 15, n. 12, p. 1406-1414, dez. 2012.	
DOI: 	10.1111/j.1461-0248.2012.01864.x	
Idioma: 	Inglês	
Conteúdo: 	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.	
Palavras-Chave: 	Biomass growth; Carbon balance; Gap fraction; Leaf area profiles; Remote sensing of canopy structure.	
Thesaurus Nal: 	lidar.	
Categoria do assunto: 	K Ciência Florestal e Produtos de Origem Vegetal	
Registro original: 	Embrapa Amazônia Oriental (CPATU)	
Exemplares: 	CPATU - (46954-1) - UPC - AP - DD -  -  -  - DIS