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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
15/01/2018 |
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Data da última atualização: |
15/01/2018 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
BENAVIDES, M. V.; GULIAS GOMES, C. C.; GASPAR, E. B. |
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Afiliação: |
MAGDA VIEIRA BENAVIDES, CPPSUL; CLAUDIA CRISTINA GULIAS GOMES, CPPSUL; EMANUELLE BALDO GASPAR, CPPSUL. |
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Título: |
Recentes descobertas de antígenos com potencial para a imunização de bovinos contra infestações pelo carrapato Rhipicephalus (Boophilus) microplus. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Bagé: Embrapa Embrapa Pecuária Sul, 2018. |
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Páginas: |
28 p. |
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Série: |
(Embrapa Pecuária Sul. Documentos, 158). |
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ISSN: |
1982-5390 |
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Idioma: |
Português |
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Conteúdo: |
Descoberta de métodos de controle contra o Rhipicephalus (Boophilus) microplus. |
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Thesagro: |
Carrapato; Parasito de animal; Tristeza parasitária. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171073/1/DT-158-online.pdf
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Marc: |
LEADER 00774nam a2200205 a 4500
001 2085400
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008 2018 bl uuuu u0uu1 u #d
022 $a1982-5390
100 1 $aBENAVIDES, M. V.
245 $aRecentes descobertas de antígenos com potencial para a imunização de bovinos contra infestações pelo carrapato Rhipicephalus (Boophilus) microplus.$h[electronic resource]
260 $aBagé: Embrapa Embrapa Pecuária Sul$c2018
300 $a28 p.
490 $a(Embrapa Pecuária Sul. Documentos, 158).
520 $aDescoberta de métodos de controle contra o Rhipicephalus (Boophilus) microplus.
650 $aCarrapato
650 $aParasito de animal
650 $aTristeza parasitária
700 1 $aGULIAS GOMES, C. C.
700 1 $aGASPAR, E. B.
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Registro original: |
Embrapa Pecuária Sul (CPPSUL) |
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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: |
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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Circulação/Nível: |
Internacional - A |
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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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