Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry.

• Autor(a) principal: FIGUEIREDO, E. O.
• Data de Publicação: 2017
• Outros Autores: OLIVEIRA, M. V. N. d', FEARNSIDE, P. M., BRAZ, E. M., PAPA, D. de A.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088681
• topic: 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; Administração florestal; Floresta tropical; Biometria; Raio laser; Análise estatística; Regressão linear; Morphometry; Forest management; Tropical forests; Biometry; Canopy gaps; Tree crown; Lidar; Statistical analysis; Regression analysis; Lásers

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.