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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
22/08/2006 |
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Data da última atualização: |
28/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PHILLIPS, P. D.; THOMPSON, I. S.; SILVA, J. N. M.; GARDINGEN, P. R. van; DEGEN, B. |
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Afiliação: |
JOSÉ NATALINO MACEDO SILVA, CPATU. |
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Título: |
Scaling up models of tree competition for tropical forest population genetics simulation. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Ecological Modelling, v. 180, p. 419-434, 2004. |
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Descrição Física: |
il. |
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DOI: |
http://dx.doi.org/10.1016/j.ecolmodel.2004.04.029 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding the effects of logging activity on genetic diversity is an important aspect of establishing the sustainability of selective logging management operations in tropical forests. Genetic variation is affected by selective logging directly, through the removal of and damage to trees within the population, and indirectly, through a change in the forest structure and environment in which the remaining population lives. Eco-Gene is a population genetics model applied to tropical forests over a scale of hundreds of hectares. SYMFOR is a modelling framework for individual-based spatially explicit ecological and management models applied to tropical forests over a scale of 0.25 4 ha. We have linked the models to enable simulations using processes involved in both models. To overcome problems of scale, the spatially explicit competition index calculated in SYMFOR simulations has been modelled such that it can be applied at scales representing much larger areas for which the data are not available, as required by Eco-Gene. The competition index is modelled as a distribution on a grid-square basis, and implemented in the linked Eco-Gene/SYMFOR system. Each tree within a grid-square is given a ?relative competition? within the distribution, biased according to species. A competition index value is obtained for the tree by transforming the grid-square distribution to be relevant to the size of the tree, and extracting a value according to the tree?s relative competition within the distribution. The distribution and each tree?s relative competition within it change according to the effects of growth, mortality and logging activity. The model was calibrated using data from the Tapajós region of the Eastern Amazon forest. This paper describes the model, its calibration and validation and the implications of scaling up from an explicit representation to a modelled quantity. MenosUnderstanding the effects of logging activity on genetic diversity is an important aspect of establishing the sustainability of selective logging management operations in tropical forests. Genetic variation is affected by selective logging directly, through the removal of and damage to trees within the population, and indirectly, through a change in the forest structure and environment in which the remaining population lives. Eco-Gene is a population genetics model applied to tropical forests over a scale of hundreds of hectares. SYMFOR is a modelling framework for individual-based spatially explicit ecological and management models applied to tropical forests over a scale of 0.25 4 ha. We have linked the models to enable simulations using processes involved in both models. To overcome problems of scale, the spatially explicit competition index calculated in SYMFOR simulations has been modelled such that it can be applied at scales representing much larger areas for which the data are not available, as required by Eco-Gene. The competition index is modelled as a distribution on a grid-square basis, and implemented in the linked Eco-Gene/SYMFOR system. Each tree within a grid-square is given a ?relative competition? within the distribution, biased according to species. A competition index value is obtained for the tree by transforming the grid-square distribution to be relevant to the size of the tree, and extracting a value according to the tree?s relative competition within... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Competição de planta. |
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Thesagro: |
Extração da Madeira; Floresta Tropical. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02663naa a2200253 a 4500
001 1408527
005 2022-11-28
008 2004 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.ecolmodel.2004.04.029$2DOI
100 1 $aPHILLIPS, P. D.
245 $aScaling up models of tree competition for tropical forest population genetics simulation.$h[electronic resource]
260 $c2004
300 $cil.
520 $aUnderstanding the effects of logging activity on genetic diversity is an important aspect of establishing the sustainability of selective logging management operations in tropical forests. Genetic variation is affected by selective logging directly, through the removal of and damage to trees within the population, and indirectly, through a change in the forest structure and environment in which the remaining population lives. Eco-Gene is a population genetics model applied to tropical forests over a scale of hundreds of hectares. SYMFOR is a modelling framework for individual-based spatially explicit ecological and management models applied to tropical forests over a scale of 0.25 4 ha. We have linked the models to enable simulations using processes involved in both models. To overcome problems of scale, the spatially explicit competition index calculated in SYMFOR simulations has been modelled such that it can be applied at scales representing much larger areas for which the data are not available, as required by Eco-Gene. The competition index is modelled as a distribution on a grid-square basis, and implemented in the linked Eco-Gene/SYMFOR system. Each tree within a grid-square is given a ?relative competition? within the distribution, biased according to species. A competition index value is obtained for the tree by transforming the grid-square distribution to be relevant to the size of the tree, and extracting a value according to the tree?s relative competition within the distribution. The distribution and each tree?s relative competition within it change according to the effects of growth, mortality and logging activity. The model was calibrated using data from the Tapajós region of the Eastern Amazon forest. This paper describes the model, its calibration and validation and the implications of scaling up from an explicit representation to a modelled quantity.
650 $aAmazonia
650 $aExtração da Madeira
650 $aFloresta Tropical
653 $aBrasil
653 $aCompetição de planta
700 1 $aTHOMPSON, I. S.
700 1 $aSILVA, J. N. M.
700 1 $aGARDINGEN, P. R. van
700 1 $aDEGEN, B.
773 $tEcological Modelling$gv. 180, p. 419-434, 2004.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca |
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| Registros recuperados : 13 | |
| 8. |  | PHILLIPS, P. D.; AZEVEDO, C. P. de; DEGEN, B.; THOMPSON, I. S.; SILVA, J. N. M.; GARDINGEN, P. R. van. An individual-based spatially explicit simulation model for strategic forest management planning in the eastern Amazon. Ecological Modelling, v. 173, n. 4, p. 335-354, 2004. il.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental. |
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| 9. | | CLOUTIER, D.; HARDY, O. J.; CARON, H.; CIAMPI, A. Y.; DEGEN, B.; KANASHIRO, M.; SCHOEN, D. J. Low inbreeding and high pollen dispersal distances in populations of two Amazonian Forest tree species. Biotropica, v. 39, n. 3, p. 406-415, 2007.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | KANASHIRO, M.; THOMPSON, I. S.; YARED, J. A. G.; LOVELESS, M. D.; COVENTRY, P.; MARTINS-DA-SILVA, R. C. V.; DEGEN, B.; AMARAL, W. Improving conservation values of managed forests: the dendrogene project in the Brazilian Amazon. Unasylva, v. 53, n. 209, p. 25-33, 2002. il.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Nacional - B |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | SEBBENN, A. M.; DEGEN, B.; AZEVEDO, V. C. R.; SILVA, M. B.; LACERDA, A. E. B. de; CIAMPI, A. Y.; KANASHIRO, M.; CARNEIRO, F. da S.; THOMPSON, I.; LOVELESS, M. D. Modelling the long-term impacts of selective logging on genetic diversity and demographic structure of four tropical tree species in the Amazon forest. Forest Ecology and Management, v. 254, p. 335-349, 2008.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | SEBBENN, A. M.; DEGEN, B.; AZEVEDO, V. C. R.; SILVA, M. B.; LACERDA, A. E. B. de; CIAMPI, A. Y.; KANASHIRO, M.; CARNEIRO, F. da S.; THOMPSON, I.; LOVELESS, M. D. Modelagem dos impactos a longo prazo do corte seletivo de árvores sobre a diversidade genética e estrutura demográfica de quatro espécies arbóreas tropicais na Floresta Amazônica. In: PERES, C. A.; BARLOW, J.; GARDNER, T. A.; VIEIRA, I. C. G. (Org.). Conservação da biodiversidade em paisagens antropizadas do Brasil. Curitiba: UFPR, 2013. p. 263-292. Este capítulo foi publicado anteriormente como: Sebbenn, A. M., Degen, B., Azevedo, V. C. R., Silva, M. B., de Lacerda, A. E. B., Ciampi, A. Y., Kanashiro, M., Carneiro, F. S., Thompson, I., Loveless, M. D. 2008. Modelling the...| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 13. | | DORMONTT, E. E.; BONER, M.; BRAUN, B.; BREULMANN, G.; DEGEN, B.; ESPINOZA, E.; GARDNER, S.; GUILLERY, P.; HERMANSON, J. C.; KOCH, G.; LEE, S. L.; KANASHIRO, M.; RIMBAEANTO, A.; THOMAS, D.; WIEDENHOEFT, A. C.; YIN, Y.; ZAHNEN, J.; LOWE, A. J. Forensic timber identification: It's time to integrate disciplines to combat illegal logging. Biological Conservation, v. 191, p. 790-798, Nov. 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 13 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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