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| Registros recuperados : 14 | |
| 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.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | 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.| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental. |
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| 11. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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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...| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 13. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia. |
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| 14. | | 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.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 14 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
18/02/2008 |
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Data da última atualização: |
29/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
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. |
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Afiliação: |
Alexandre Magno Sebbenn, Instituto Florestal de São Paulo; Bernd Degen, Bundesforschungsanstalt für Forst; Vânia Cristina Renno Azevedo, Embrapa Recursos Genéticos e Biotecnologia; Marivana Borges Silva, Universidade Federal do Pará; André E. B. de Lacerda, Embrapa Amazônia Oriental; Ana Yamaguishi Ciampi, Embrapa Recursos Genéticos e Biotecnologia; Milton Kanashiro, Embrapa Amazônia Oriental; Francimary da S. Carneiro, Embrapa Amazônia Oriental; Ian Thompson, Embrapa Amazônia Oriental; Marilyn D. Loveless. |
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Título: |
Modelling the long-term impacts of selective logging on genetic diversity and demographic structure of four tropical tree species in the Amazon forest. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 254, p. 335-349, 2008. |
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Idioma: |
Inglês |
|
Conteúdo: |
In the last three decades, Amazon tropical forests have experienced high rates of deforestation, both by clearing for agriculture and by logging. In this study, we use computer simulations to examine the potential effects of forest logging on genetic diversity and demographic recovery (basal area development) of four neotropical tree species over a time frame reflecting multiple logging events. The study species, Bagassa guianensis Aubl., Hymenaea courbaril L., Manilkara huberi (Ducke) Chevalier, and Symphonia globulifera L.f., are all taxa which are commonly exploited for timber in the Brazilian Amazon. The simulations were parameterized using empirical data from field studies in the Tapajós National Forest, Pará State, Brazil, including genotypes at microsatellite loci, demography, ecology and growth for each species. Eight scenarios, combining two different cutting cycles and two minimum cutting diameters, were examined for each of the four species. The scenarios represent the actual forest practices used in Brazil and French Guiana (cutting diameter 45 and 60 cm, and cutting cycle of 30 and 65 years, respectively). Logging scenarios were applied for six cutting cycles, and final genetic and demographic data were compared to baseline data from corresponding control scenarios. At the end of the simulated period the basal area was strongly reduced under all conditions in B. guianensis, H. courbaril, and M. huberi. In only two scenarios was a species able to recover its basal area following logging (S. globulifera with both 45- and 60-cm cutting diameters under a 65-year cutting cycle). In the logging scenarios, all species showed a loss of alleles and genotypes and an increased genetic distance (calculated between each population at the start and the end of the simulations). These effects were higher under the most intensive logging cycles (30 years, 45 cm). However, effective number of alleles, expected and observed heterozygosities, and the fixation index were little affected by the logging simulations. Over all, we conclude that, even under very optimistic conditions for growth and recruitment, current logging practices are not sustainable in terms of basal area. Our simulations show that different species respond differently to logging, both demographically and genetically. No single set of logging parameters can be applied to the forest as a whole. Rather, forest management practices must be species-specific, taking into account not only growth parameters but also ecological and reproductive variables, in order to move toward long-term forest sustainability. MenosIn the last three decades, Amazon tropical forests have experienced high rates of deforestation, both by clearing for agriculture and by logging. In this study, we use computer simulations to examine the potential effects of forest logging on genetic diversity and demographic recovery (basal area development) of four neotropical tree species over a time frame reflecting multiple logging events. The study species, Bagassa guianensis Aubl., Hymenaea courbaril L., Manilkara huberi (Ducke) Chevalier, and Symphonia globulifera L.f., are all taxa which are commonly exploited for timber in the Brazilian Amazon. The simulations were parameterized using empirical data from field studies in the Tapajós National Forest, Pará State, Brazil, including genotypes at microsatellite loci, demography, ecology and growth for each species. Eight scenarios, combining two different cutting cycles and two minimum cutting diameters, were examined for each of the four species. The scenarios represent the actual forest practices used in Brazil and French Guiana (cutting diameter 45 and 60 cm, and cutting cycle of 30 and 65 years, respectively). Logging scenarios were applied for six cutting cycles, and final genetic and demographic data were compared to baseline data from corresponding control scenarios. At the end of the simulated period the basal area was strongly reduced under all conditions in B. guianensis, H. courbaril, and M. huberi. In only two scenarios was a species able to recover its basa... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Diversidade genética. |
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Thesagro: |
Análise Estatística; Árvore; Floresta Tropical; Genética; Simulação. |
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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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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/177900/1/SP-19686-ID-31075.pdf
|
|
Marc: |
LEADER 03585naa a2200325 a 4500
001 1190806
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008 2008 bl uuuu u00u1 u #d
100 1 $aSEBBENN, A. M.
245 $aModelling the long-term impacts of selective logging on genetic diversity and demographic structure of four tropical tree species in the Amazon forest.$h[electronic resource]
260 $c2008
520 $aIn the last three decades, Amazon tropical forests have experienced high rates of deforestation, both by clearing for agriculture and by logging. In this study, we use computer simulations to examine the potential effects of forest logging on genetic diversity and demographic recovery (basal area development) of four neotropical tree species over a time frame reflecting multiple logging events. The study species, Bagassa guianensis Aubl., Hymenaea courbaril L., Manilkara huberi (Ducke) Chevalier, and Symphonia globulifera L.f., are all taxa which are commonly exploited for timber in the Brazilian Amazon. The simulations were parameterized using empirical data from field studies in the Tapajós National Forest, Pará State, Brazil, including genotypes at microsatellite loci, demography, ecology and growth for each species. Eight scenarios, combining two different cutting cycles and two minimum cutting diameters, were examined for each of the four species. The scenarios represent the actual forest practices used in Brazil and French Guiana (cutting diameter 45 and 60 cm, and cutting cycle of 30 and 65 years, respectively). Logging scenarios were applied for six cutting cycles, and final genetic and demographic data were compared to baseline data from corresponding control scenarios. At the end of the simulated period the basal area was strongly reduced under all conditions in B. guianensis, H. courbaril, and M. huberi. In only two scenarios was a species able to recover its basal area following logging (S. globulifera with both 45- and 60-cm cutting diameters under a 65-year cutting cycle). In the logging scenarios, all species showed a loss of alleles and genotypes and an increased genetic distance (calculated between each population at the start and the end of the simulations). These effects were higher under the most intensive logging cycles (30 years, 45 cm). However, effective number of alleles, expected and observed heterozygosities, and the fixation index were little affected by the logging simulations. Over all, we conclude that, even under very optimistic conditions for growth and recruitment, current logging practices are not sustainable in terms of basal area. Our simulations show that different species respond differently to logging, both demographically and genetically. No single set of logging parameters can be applied to the forest as a whole. Rather, forest management practices must be species-specific, taking into account not only growth parameters but also ecological and reproductive variables, in order to move toward long-term forest sustainability.
650 $aAmazonia
650 $aAnálise Estatística
650 $aÁrvore
650 $aFloresta Tropical
650 $aGenética
650 $aSimulação
653 $aBrasil
653 $aDiversidade genética
700 1 $aDEGEN, B.
700 1 $aAZEVEDO, V. C. R.
700 1 $aSILVA, M. B.
700 1 $aLACERDA, A. E. B. de
700 1 $aCIAMPI, A. Y.
700 1 $aKANASHIRO, M.
700 1 $aCARNEIRO, F. da S.
700 1 $aTHOMPSON, I.
700 1 $aLOVELESS, M. D.
773 $tForest Ecology and Management$gv. 254, p. 335-349, 2008.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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