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Registro Completo |
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Biblioteca(s): |
Embrapa Acre; Embrapa Florestas. |
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Data corrente: |
06/03/2018 |
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Data da última atualização: |
17/05/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; FEARNSIDE, P. M.; BRAZ, E. M.; PAPA, D. de A. |
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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. |
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Título: |
Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Revista Árvore, Viçosa, v. 41, n. 3, e410313, 2017. |
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DOI: |
10.1590/1806-90882017000300013 |
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Idioma: |
Inglês |
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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. MenosThe 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 demo... Mostrar Tudo |
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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. |
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Thesagro: |
Administração florestal; Análise estatística; Biometria; Floresta tropical; Raio laser; Regressão linear. |
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Thesaurus Nal: |
Biometry; Canopy gaps; Forest management; Lásers; Lidar; Morphometry; Regression analysis; Statistical analysis; Tree crown; Tropical forests. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173598/1/26520.pdf
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Marc: |
LEADER 03384naa a2200589 a 4500
001 2109106
005 2019-05-17
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1590/1806-90882017000300013$2DOI
100 1 $aFIGUEIREDO, E. O.
245 $aEquations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry.$h[electronic resource]
260 $c2017
520 $aThe 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.
650 $aBiometry
650 $aCanopy gaps
650 $aForest management
650 $aLásers
650 $aLidar
650 $aMorphometry
650 $aRegression analysis
650 $aStatistical analysis
650 $aTree crown
650 $aTropical forests
650 $aAdministração florestal
650 $aAnálise estatística
650 $aBiometria
650 $aFloresta tropical
650 $aRaio laser
650 $aRegressão linear
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAnálisis de regresión
653 $aAnálisis estadístico
653 $aBosques tropicales
653 $aBujari (AC)
653 $aClareira
653 $aCopa
653 $aCopa de los árboles
653 $aEspacios vacíos en el dosel
653 $aFloresta Estadual do Antimary (AC)
653 $aManejo de precisão
653 $aManejo forestal
653 $aMorfometría
653 $aPerfilamento florestal
653 $aSena Madureira (AC)
653 $aWestern Amazon
700 1 $aOLIVEIRA, M. V. N. d'
700 1 $aFEARNSIDE, P. M.
700 1 $aBRAZ, E. M.
700 1 $aPAPA, D. de A.
773 $tRevista Árvore, Viçosa$gv. 41, n. 3, e410313, 2017.
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Registro original: |
Embrapa Florestas (CNPF) |
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| 1. |  | FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; FEARNSIDE, P. M.; BRAZ, E. M.; PAPA, D. de A. Equations to estimate tree gaps in a precision forest management area the Amazon based on crown morphometry. Revista Árvore, Viçosa, v. 41, n. 3, e410313, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Acre; Embrapa Florestas. |
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| Registros recuperados : 1 | |
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