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Registro Completo |
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 |
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
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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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Registro Completo
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia; Embrapa Semiárido. |
Data corrente: |
26/11/2019 |
Data da última atualização: |
26/09/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FREITA, E. O.; MELO, B. P.; LOURENCO-TESSUTTI, I. T.; ARRAES, F. B. M.; AMORIM, R. M.; LISEI-DE-SÁ, M. E.; COSTA, J. A.; LEITE, A. G. B.; FAHEEM, M.; FERREIRA, M. A.; MORGANTE, C. V.; FONTES, E. P. B.; GROSSI-DE-SA, M. F. |
Afiliação: |
ELINEA O. FREITA, UNB; BRUNO P. MELO, UNB; ISABELA TRISTAN LOURENCO-TESSUTTI, Cenargen; FABRÍCIO B. M. ARRAES, UNB; REGINA M. AMORIM, UNB; MARIA E. LISEI-DE-SÁ, UNB; JULIA A. COSTA, UNB; ANA G. B. LEITE, UNB; MUHAMMAD FAHEEM, UNB; MÁRCIO A. FERREIRA, UFRJ; CAROLINA VIANNA MORGANTE, CPATSA; ELIZABETH P. B. FONTES, UFV; MARIA FATIMA GROSSI DE SA, Cenargen. |
Título: |
Identification and characterization of the GmRD26 soybean promoter in response to abiotic stresses: potential tool for biotechnological application. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
BMC Biotechnology, v. 19, article 79, 2019. |
DOI: |
10.1186/s12896-019-0561-3 |
Idioma: |
Inglês |
Conteúdo: |
Drought is one of the most harmful abiotic stresses for plants, leading to reduced productivity of several economically important crops and, consequently, considerable losses in the agricultural sector. When plants are exposed to stressful conditions, such as drought and high salinity, they modulate the expression of genes that lead to developmental, biochemical, and physiological changes, which help to overcome the deleterious effects of adverse circumstances. Thus, the search for new specific gene promoter sequences has proved to be a powerful biotechnological strategy to control the expression of key genes involved in water deprivation or multiple stress responses. |
Palavras-Chave: |
Análise de módulos promotores; Estresses abióticos; Gene-promotercharacterization; Promoter modules analysis; Promotor de genes; Promotor responsivo ao estresse; Stress-responsive promoter; Tolerância à seca. |
Thesagro: |
Ácido Abscisico; Seca; Soja. |
Thesaurus NAL: |
Abscisic acid; Drought tolerance. |
Categoria do assunto: |
-- G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146809/1/Identification-and-characterization-of-the-GmRD26.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205521/1/document.pdf
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Marc: |
LEADER 02023naa a2200433 a 4500 001 2146809 005 2022-09-26 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1186/s12896-019-0561-3$2DOI 100 1 $aFREITA, E. O. 245 $aIdentification and characterization of the GmRD26 soybean promoter in response to abiotic stresses$bpotential tool for biotechnological application.$h[electronic resource] 260 $c2019 520 $aDrought is one of the most harmful abiotic stresses for plants, leading to reduced productivity of several economically important crops and, consequently, considerable losses in the agricultural sector. When plants are exposed to stressful conditions, such as drought and high salinity, they modulate the expression of genes that lead to developmental, biochemical, and physiological changes, which help to overcome the deleterious effects of adverse circumstances. Thus, the search for new specific gene promoter sequences has proved to be a powerful biotechnological strategy to control the expression of key genes involved in water deprivation or multiple stress responses. 650 $aAbscisic acid 650 $aDrought tolerance 650 $aÁcido Abscisico 650 $aSeca 650 $aSoja 653 $aAnálise de módulos promotores 653 $aEstresses abióticos 653 $aGene-promotercharacterization 653 $aPromoter modules analysis 653 $aPromotor de genes 653 $aPromotor responsivo ao estresse 653 $aStress-responsive promoter 653 $aTolerância à seca 700 1 $aMELO, B. P. 700 1 $aLOURENCO-TESSUTTI, I. T. 700 1 $aARRAES, F. B. M. 700 1 $aAMORIM, R. M. 700 1 $aLISEI-DE-SÁ, M. E. 700 1 $aCOSTA, J. A. 700 1 $aLEITE, A. G. B. 700 1 $aFAHEEM, M. 700 1 $aFERREIRA, M. A. 700 1 $aMORGANTE, C. V. 700 1 $aFONTES, E. P. B. 700 1 $aGROSSI-DE-SA, M. F. 773 $tBMC Biotechnology$gv. 19, article 79, 2019.
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Embrapa Semiárido (CPATSA) |
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