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

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dc.contributorEVANDRO ORFANO FIGUEIREDO, CPAF-AC
dc.contributorMARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC
dc.contributorPhilip Martin Fearnside, Instituto Nacional de Pesquisas da Amazônia (Inpa)
dc.contributorEVALDO MUNOZ BRAZ, CNPF
dc.contributorDANIEL DE ALMEIDA PAPA, CPAF-AC.
dc.creatorFIGUEIREDO, E. O.
dc.creatorOLIVEIRA, M. V. N. d'
dc.creatorFEARNSIDE, P. M.
dc.creatorBRAZ, E. M.
dc.creatorPAPA, D. de A.
dc.date2018-03-07T00:35:02Z
dc.date2018-03-07T00:35:02Z
dc.date2018-03-06
dc.date2017
dc.date2018-03-07T00:35:02Z
dc.date.accessioned2026-06-30T22:51:05Z
dc.descriptionThe 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.
dc.identifierRevista Árvore, Viçosa, v. 41, n. 3, e410313, 2017.
dc.identifier1806-9088 (online)
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1088681
dc.identifier10.1590/1806-90882017000300013
dc.identifier.urihttp://hdl.handle.net/123456789/369507
dc.languageeng
dc.rightsopenAccess
dc.subjectManejo de precisão
dc.subjectClareira
dc.subjectCopa
dc.subjectPerfilamento florestal
dc.subjectFloresta Estadual do Antimary (AC)
dc.subjectBujari (AC)
dc.subjectSena Madureira (AC)
dc.subjectAcre
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectAmazonia Occidental
dc.subjectAnálisis de regresión
dc.subjectMorfometría
dc.subjectAnálisis estadístico
dc.subjectCopa de los árboles
dc.subjectBosques tropicales
dc.subjectEspacios vacíos en el dosel
dc.subjectManejo forestal
dc.subjectAdministração florestal
dc.subjectFloresta tropical
dc.subjectBiometria
dc.subjectRaio laser
dc.subjectAnálise estatística
dc.subjectRegressão linear
dc.subjectMorphometry
dc.subjectForest management
dc.subjectTropical forests
dc.subjectBiometry
dc.subjectCanopy gaps
dc.subjectTree crown
dc.subjectLidar
dc.subjectStatistical analysis
dc.subjectRegression analysis
dc.subjectLásers
dc.titleEquations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry.
dc.typeArtigo de periódico

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