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| Registros recuperados : 115 | |
| Registros recuperados : 115 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
26/10/2016 |
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Data da última atualização: |
02/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
FIGUEIREDO, E. O.; OLIVEIRA, M. V. N. d'; BRAZ, E. M.; PAPA, D. de A.; FEARNSIDE, P. M. |
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Afiliação: |
EVANDRO ORFANO FIGUEIREDO, CPAF-Acre; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; EVALDO MUNOZ BRAZ, CNPF; DANIEL DE ALMEIDA PAPA, CPAF-Acre; Philip Martin Fearnside, Instituto Nacional de Pesquisas da Amazônia/RedeClima. |
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Título: |
LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Remote Sensing of Environment, Amsterdam, v. 187, p. 281-293, Dec. 2016. |
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ISSN: |
0034-4257 |
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Idioma: |
Inglês |
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Conteúdo: |
Based on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals and compared these results with those from equations based on traditional variables such as diameter at breast height (DBH). The database consisted of 142 trees of interest for logging in a forest under management for timber in Brazil's state of Acre. The trees chosen for studywere selected through proportional sampling by diameter class (ranging from45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populationswith diameters appropriate for harvest. Subsequent to LIDAR profiling of these trees, they were felled, subjected to a battery of dimensional measurements and sampled for wood-density determination. A set ofmodels was generated, followed by model selection and identity testing in order to compare groups of basicwood density (low, medium and high). The morphometric variables of the crown had high explanatory power for bole biomass independent of whether the allometric equations included DBH. When calculating bole biomass with equations that include basic wood density, the best estimate is obtained using variables for both DBH and crown morphology. To obtain an allometric equation that encompasses species in all three classes of basic density, one should either use only independent variables representing crown dimensions or complement these with variables for basic density (BD) and total height (Ht). The study demonstrates the feasibility of using ground-based measurements to calibrate biomass models that include only LIDAR-based variables, allowing much larger areas to be surveyed with reasonable accuracy. The present study is designed to produce data needed for forest management, but the methods developed here can be adapted to studies aimed at reducing the uncertainty in biomass estimates of whole forests (not just harvestable trees) for use in quantifying carbon emissions from forest loss and degradation. MenosBased on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals and compared these results with those from equations based on traditional variables such as diameter at breast height (DBH). The database consisted of 142 trees of interest for logging in a forest under management for timber in Brazil's state of Acre. The trees chosen for studywere selected through proportional sampling by diameter class (ranging from45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populationswith diameters appropriate for harvest. Subsequent to LIDAR profiling of these trees, they were felled, subjected to a battery of dimensional measurements and sampled for wood-density determination. A set ofmodels was generated, followed by model selection and identity testing in order to compare groups of basicwood density (low, medium and high). The morphometric variables of the crown had high explanatory power for bole biomass independent of whether the allometric equations included DBH. When calculating bole biomass with equations that include basic wood density, the best estimate is obtained using variables for both DBH and crown morphology. To obtain an allometric equation that encompasses species in all three classes of basic density, one should either use only independent variables representing crown dimensions or complement these wi... Mostrar Tudo |
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Palavras-Chave: |
Acre; Acumulación de materia seca; Amazonia Occidental; Amazônia Ocidental; Análisis estadístico; Bosques tropicales; Cubierta (plantas); Floresta Estadual do Antimary (AC); Geotécnica; Manejo de precisão; Manejo forestal; Modelos matemáticos; Producción de biomasa; Programas de computadores; Teledetección; Western Amazon. |
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Thesagro: |
Análise estatística; Biomassa; Biometria; Flora; Floresta tropical; Matéria seca; Modelo matemático; População de planta; Programa de computador; Raio laser; Sensoriamento remoto. |
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Thesaurus NAL: |
Amazonia; Biomass production; Canopy; Computer software; Dry matter accumulation; Forest management; Lásers; Lidar; Mathematical models; Remote sensing; Statistical analysis; 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/149308/1/26171.pdf
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Marc: |
LEADER 04000naa a2200649 a 4500
001 2055435
005 2021-07-02
008 2016 bl uuuu u00u1 u #d
022 $a0034-4257
100 1 $aFIGUEIREDO, E. O.
245 $aLIDAR-based estimation of bole biomass for precision management of an Amazonian forest$bcomparisons of ground-based and remotely sensed estimates.$h[electronic resource]
260 $c2016
520 $aBased on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals and compared these results with those from equations based on traditional variables such as diameter at breast height (DBH). The database consisted of 142 trees of interest for logging in a forest under management for timber in Brazil's state of Acre. The trees chosen for studywere selected through proportional sampling by diameter class (ranging from45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populationswith diameters appropriate for harvest. Subsequent to LIDAR profiling of these trees, they were felled, subjected to a battery of dimensional measurements and sampled for wood-density determination. A set ofmodels was generated, followed by model selection and identity testing in order to compare groups of basicwood density (low, medium and high). The morphometric variables of the crown had high explanatory power for bole biomass independent of whether the allometric equations included DBH. When calculating bole biomass with equations that include basic wood density, the best estimate is obtained using variables for both DBH and crown morphology. To obtain an allometric equation that encompasses species in all three classes of basic density, one should either use only independent variables representing crown dimensions or complement these with variables for basic density (BD) and total height (Ht). The study demonstrates the feasibility of using ground-based measurements to calibrate biomass models that include only LIDAR-based variables, allowing much larger areas to be surveyed with reasonable accuracy. The present study is designed to produce data needed for forest management, but the methods developed here can be adapted to studies aimed at reducing the uncertainty in biomass estimates of whole forests (not just harvestable trees) for use in quantifying carbon emissions from forest loss and degradation.
650 $aAmazonia
650 $aBiomass production
650 $aCanopy
650 $aComputer software
650 $aDry matter accumulation
650 $aForest management
650 $aLásers
650 $aLidar
650 $aMathematical models
650 $aRemote sensing
650 $aStatistical analysis
650 $aTropical forests
650 $aAnálise estatística
650 $aBiomassa
650 $aBiometria
650 $aFlora
650 $aFloresta tropical
650 $aMatéria seca
650 $aModelo matemático
650 $aPopulação de planta
650 $aPrograma de computador
650 $aRaio laser
650 $aSensoriamento remoto
653 $aAcre
653 $aAcumulación de materia seca
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAnálisis estadístico
653 $aBosques tropicales
653 $aCubierta (plantas)
653 $aFloresta Estadual do Antimary (AC)
653 $aGeotécnica
653 $aManejo de precisão
653 $aManejo forestal
653 $aModelos matemáticos
653 $aProducción de biomasa
653 $aProgramas de computadores
653 $aTeledetección
653 $aWestern Amazon
700 1 $aOLIVEIRA, M. V. N. d'
700 1 $aBRAZ, E. M.
700 1 $aPAPA, D. de A.
700 1 $aFEARNSIDE, P. M.
773 $tRemote Sensing of Environment, Amsterdam$gv. 187, p. 281-293, Dec. 2016.
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Registro original: |
Embrapa Acre (CPAF-AC) |
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