Título:	Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry.
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.
Ano de publicação:	2017
Referência:	Revista Árvore, Viçosa, v. 41, n. 3, e410313, 2017.
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.
Thesagro:	Administração florestal Floresta tropical Biometria Raio laser Análise estatística Regressão linear
NAL Thesaurus:	Morphometry Forest management Tropical forests Biometry Canopy gaps Tree crown Lidar Statistical analysis Regression analysis Lásers
Palavras-chave:	Manejo de precisão Clareira Copa Perfilamento florestal Floresta Estadual do Antimary (AC) Bujari (AC) Sena Madureira (AC) Acre Amazônia Ocidental Western Amazon Amazonia Occidental Análisis de regresión Análisis estadístico Copa de los árboles Bosques tropicales Espacios vacíos en el dosel Manejo forestal Morfometría
ISSN:	1806-9088 (online)
Digital Object Identifier:	10.1590/1806-90882017000300013
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CPAF-AC)