Data/hora: 13/06/2024 16:14:07

Biblioteca(s): 	Embrapa Acre; Embrapa Florestas.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 2	
Data corrente: 	06/03/2018	
Data da última atualização: 	17/05/2019	
Autoria: 	FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; FEARNSIDE, P. M.; BRAZ, E. M.; PAPA, D. de A.	
Afiliação: 	EVANDRO ORFANO FIGUEIREDO, CPAF-Acre; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; Philip Martin Fearnside, Instituto Nacional de Pesquisas da Amazônia (Inpa); EVALDO MUNOZ BRAZ, CNPF; DANIEL DE ALMEIDA PAPA, CPAF-Acre.	
Título: 	Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Revista Árvore, Viçosa, v. 41, n. 3, e410313, 2017.	
DOI: 	10.1590/1806-90882017000300013	
Idioma: 	Inglês	
Conteúdo: 	The precision forest management technique still has much to be improved with the incorporation of forest biometric techniques and forest profiling with airborne LIDAR. When planning the cutting of a tree in forest management, the volume to be produced for industry is estimated but not the area impacted by removal of the tree. The objective of the present study was to develop equations for the Amazon rainforest that are able to estimate the impact area of gaps from harvesting individual dominant and co-dominant trees based on the canopy morphology obtained through forest profiling. On two separate occasions profiles were made in an annual forest-production unit in the Antimary State Forest (FEA) in the state of Acre, Brazil. The first was done a few days before the start of logging in 2010 and the second was done after completion of harvest activities in 2011. With field measurements and processing of the cloud of LIDAR points, dendrometric and morphometric variables were obtained for the canopy in order to develop equations for estimating gap areas. After evaluation of the explanatory variables with the highest correlation with gap area, the method used considered all possible models and included 2-4 parameters. The explanatory variables that best represent the impact of clearings are volume of the crown (VCop) and crown-projection area (APC). Ten equations were selected, of which two were chosen for use; these had R2 aj > 75% and Syx <23%. The good fit of the equations demonstrates the potential use of LIDAR to obtain information for estimating in advance the gaps in the forest cover that will be created from harvesting trees of different sizes.	
Palavras-Chave: 	Acre; Amazonia Occidental; Amazônia Ocidental; Análisis de regresión; Análisis estadístico; Bosques tropicales; Bujari (AC); Clareira; Copa; Copa de los árboles; Espacios vacíos en el dosel; Floresta Estadual do Antimary (AC); Manejo de precisão; Manejo forestal; Morfometría; Perfilamento florestal; Sena Madureira (AC); Western Amazon.	
Thesagro: 	Administração florestal; Análise estatística; Biometria; Floresta tropical; Raio laser; Regressão linear.	
Thesaurus Nal: 	Biometry; Canopy gaps; Forest management; Lásers; Lidar; Morphometry; Regression analysis; Statistical analysis; Tree crown; Tropical forests.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/173598/1/26520.pdf	
Registro original: 	Embrapa Florestas (CNPF)	
Exemplares: 	CPAF-AC - (26520-1) - UPC - AP - DD -  -  -  - DIS
CNPF - (56808-1) - UPC - AP - DD -  -  -  - DIS