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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
31/03/2011 |
Data da última atualização: |
29/10/2012 |
Tipo da produção científica: |
Monitoramento/Zoneamento |
Autoria: |
AMARAL, F. C. S. do; CARVALHO JUNIOR, W. de; PEREIRA, N. R.; CHAGAS, C. da S.; BHERING, S. B.; ZARONI, M. J.; MACEDO, J. R. de; SANTOS, H. G. dos; SILVA, E. F. da; GONCALVES, A. O.; MARTINS, J. S.; AGLIO, M. L. D.; DART, R. de O.; AMORIM, A. M.; LOPES, C. H. L.; FIALHO, A. A.; SOUZA SOBRINHO, J. |
Afiliação: |
FERNANDO CEZAR SARAIVA DO AMARAL, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS; NILSON RENDEIRO PEREIRA, CNPS; CESAR DA SILVA CHAGAS, CNPS; SILVIO BARGE BHERING, CNPS; MARIA JOSE ZARONI, CNPS; JOSE RONALDO DE MACEDO, CNPS; HUMBERTO GONCALVES DOS SANTOS, CNPS; ENIO FRAGA DA SILVA, CNPS; ALEXANDRE ORTEGA GONCALVES, CNPS; João Souza Martins; MARIO LUIZ DIAMANTE AGLIO, CNPS; RICARDO DE OLIVEIRA DART, CNPS; Ailton Martins Amorim, SEPROTUR; Carlos Henrique Lemos Lopes, SEPROTUR; Ari Ardenghi Fialho, SEMADES; José Soares Sobrinho, SEMADES. |
Título: |
Mapa do zoneamento agroecológico para uva no município de São Gabriel do Oeste. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Rio de Janeiro: Embrapa Solos, 2010. |
Idioma: |
Português |
Palavras-Chave: |
São Gabriel do Oeste. |
Thesagro: |
Uva. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 00907nem a2200313 a 4500 001 1884152 005 2012-10-29 008 2010 bl uuuu u0uu1 u #d 100 1 $aAMARAL, F. C. S. do 245 $aMapa do zoneamento agroecológico para uva no município de São Gabriel do Oeste.$h[electronic resource] 260 $aRio de Janeiro: Embrapa Solos$c2010 650 $aUva 653 $aSão Gabriel do Oeste 700 1 $aCARVALHO JUNIOR, W. de 700 1 $aPEREIRA, N. R. 700 1 $aCHAGAS, C. da S. 700 1 $aBHERING, S. B. 700 1 $aZARONI, M. J. 700 1 $aMACEDO, J. R. de 700 1 $aSANTOS, H. G. dos 700 1 $aSILVA, E. F. da 700 1 $aGONCALVES, A. O. 700 1 $aMARTINS, J. S. 700 1 $aAGLIO, M. L. D. 700 1 $aDART, R. de O. 700 1 $aAMORIM, A. M. 700 1 $aLOPES, C. H. L. 700 1 $aFIALHO, A. A. 700 1 $aSOUZA SOBRINHO, J.
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Embrapa Solos (CNPS) |
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Biblioteca(s): |
Embrapa Acre; Embrapa Florestas. |
Data corrente: |
06/03/2018 |
Data da última atualização: |
17/05/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. 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 |
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: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173598/1/26520.pdf
|
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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