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| 1. |  | WILLIAMS, T. A comparison of some window managers. In: ALVEY WORKSHOP AT CONSERNER'S HOUSE, 1985, Abingdon, UK. Methodology of window management: proceedings. Berlin: Springer-Verlag, 1986. p.15-33. Edited by HOPGOOD, F.R.A.; DUCE, D.A.; FIELDING, E.V.C.; ROBINSON, K., WILLIAMS, A.S.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 44 | |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
30/07/2015 |
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Data da última atualização: |
30/05/2022 |
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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: |
VINSON, C. C.; KANASHIRO, M.; SEBBENN, A. M.; WILLIAMS, T. C. R.; HARRIS, S. A.; BOSHIER, D. H. |
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Afiliação: |
C. C. Vinson, University of Oxford; MILTON KANASHIRO, CPATU; A. M. Sebbenn, Instituto Florestal de São Paulo; T. C. R. Williams, UNB; S. A. Harris, University of Oxford; D. H. Boshier, University of Oxford. |
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Título: |
Long-term impacts of selective logging on two Amazonian tree species with contrasting ecological and reproductive characteristics: inferences from Eco-gene model simulations. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Heredity, v. 115, n. 2, p. 130-139, Aug. 2015. |
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DOI: |
10.1038/hdy.2013.146 |
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Idioma: |
Inglês |
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Conteúdo: |
The impact of logging and subsequent recovery after logging is predicted to vary depending on specific life history traits of the logged species. The Eco-gene simulation model was used to evaluate the long-term impacts of selective logging over 300 years on two contrasting Brazilian Amazon tree species, Dipteryx odorata and Jacaranda copaia. D. odorata (Leguminosae), a slow growing climax tree, occurs at very low densities, whereas J. copaia (Bignoniaceae) is a fast growing pioneer tree that occurs at high densities. Microsatellite multilocus genotypes of the pre-logging populations were used as data inputs for the Eco-gene model and post-logging genetic data was used to verify the output from the simulations. Overall, under current Brazilian forest management regulations, there were neither short nor long-term impacts on J. copaia. By contrast, D. odorata cannot be sustainably logged under current regulations, a sustainable scenario was achieved by increasing the minimum cutting diameter at breast height from 50 to 100 cm over 30-year logging cycles. Genetic parameters were only slightly affected by selective logging, with reductions in the numbers of alleles and single genotypes. In the short term, the loss of alleles seen in J. copaia simulations was the same as in real data, whereas fewer alleles were lost in D. odorata simulations than in the field. The different impacts and periods of recovery for each species support the idea that ecological and genetic information are essential at species, ecological guild or reproductive group levels to help derive sustainable management scenarios for tropical forests. MenosThe impact of logging and subsequent recovery after logging is predicted to vary depending on specific life history traits of the logged species. The Eco-gene simulation model was used to evaluate the long-term impacts of selective logging over 300 years on two contrasting Brazilian Amazon tree species, Dipteryx odorata and Jacaranda copaia. D. odorata (Leguminosae), a slow growing climax tree, occurs at very low densities, whereas J. copaia (Bignoniaceae) is a fast growing pioneer tree that occurs at high densities. Microsatellite multilocus genotypes of the pre-logging populations were used as data inputs for the Eco-gene model and post-logging genetic data was used to verify the output from the simulations. Overall, under current Brazilian forest management regulations, there were neither short nor long-term impacts on J. copaia. By contrast, D. odorata cannot be sustainably logged under current regulations, a sustainable scenario was achieved by increasing the minimum cutting diameter at breast height from 50 to 100 cm over 30-year logging cycles. Genetic parameters were only slightly affected by selective logging, with reductions in the numbers of alleles and single genotypes. In the short term, the loss of alleles seen in J. copaia simulations was the same as in real data, whereas fewer alleles were lost in D. odorata simulations than in the field. The different impacts and periods of recovery for each species support the idea that ecological and genetic informat... Mostrar Tudo |
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Palavras-Chave: |
Exploração; Modelo eco-gene. |
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Thesagro: |
Madeira. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02395naa a2200229 a 4500
001 2021026
005 2022-05-30
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1038/hdy.2013.146$2DOI
100 1 $aVINSON, C. C.
245 $aLong-term impacts of selective logging on two Amazonian tree species with contrasting ecological and reproductive characteristics$binferences from Eco-gene model simulations.$h[electronic resource]
260 $c2015
520 $aThe impact of logging and subsequent recovery after logging is predicted to vary depending on specific life history traits of the logged species. The Eco-gene simulation model was used to evaluate the long-term impacts of selective logging over 300 years on two contrasting Brazilian Amazon tree species, Dipteryx odorata and Jacaranda copaia. D. odorata (Leguminosae), a slow growing climax tree, occurs at very low densities, whereas J. copaia (Bignoniaceae) is a fast growing pioneer tree that occurs at high densities. Microsatellite multilocus genotypes of the pre-logging populations were used as data inputs for the Eco-gene model and post-logging genetic data was used to verify the output from the simulations. Overall, under current Brazilian forest management regulations, there were neither short nor long-term impacts on J. copaia. By contrast, D. odorata cannot be sustainably logged under current regulations, a sustainable scenario was achieved by increasing the minimum cutting diameter at breast height from 50 to 100 cm over 30-year logging cycles. Genetic parameters were only slightly affected by selective logging, with reductions in the numbers of alleles and single genotypes. In the short term, the loss of alleles seen in J. copaia simulations was the same as in real data, whereas fewer alleles were lost in D. odorata simulations than in the field. The different impacts and periods of recovery for each species support the idea that ecological and genetic information are essential at species, ecological guild or reproductive group levels to help derive sustainable management scenarios for tropical forests.
650 $aMadeira
653 $aExploração
653 $aModelo eco-gene
700 1 $aKANASHIRO, M.
700 1 $aSEBBENN, A. M.
700 1 $aWILLIAMS, T. C. R.
700 1 $aHARRIS, S. A.
700 1 $aBOSHIER, D. H.
773 $tHeredity$gv. 115, n. 2, p. 130-139, Aug. 2015.
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Embrapa Amazônia Oriental (CPATU) |
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