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Registro Completo |
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
28/02/2012 |
Data da última atualização: |
06/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GUARINO, E. de S. G.; BARBOSA, A. M.; WAECHTER, J. L. |
Afiliação: |
ERNESTINO DE SOUZA GOMES GUARINO, CPAF-AC; ANA MÁRCIA BARBOSA, UNIVERSIDADE DE ÉVORA; JORGE LUIZ WAECHTER, IMPERIAL COLLEGE LONDON. |
Título: |
Occurrence and abundance models of threatened plant species: applications to mitigate the impact of hydroelectric power dams. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Ecological Modelling, Maryland, v. 230, p. 22-33, Apr. 2012. |
ISSN: |
0304-3800 |
DOI: |
10.1016/j.ecolmodel.2012.01.007 |
Idioma: |
Inglês |
Conteúdo: |
Species occurrence and abundance models are important tools that can be used in biodiversity conservation, and can be applied to predict or plan actions needed to mitigate the environmental impacts of hydropower dams. In this study our objectives were: (i) to model the occurrence and abundance of threatened plant species, (ii) to verify the relationship between predicted occurrence and true abundance, and (iii) to assess whether models based on abundance are more effective in predicting species occurrence than those based on presence?absence data. Individual representatives of nine species were counted within 388 randomly georeferenced plots (10 m × 50 m) around the Barra Grande hydropower dam reservoir in southern Brazil. We modelled their relationship with 15 environmental variables using both occurrence (Generalised Linear Models) and abundance data (Hurdle and Zero-Inflated models). Overall, occurrence models were more accurate than abundance models. For all species, observed abundance was significantly, although not strongly, correlated with the probability of occurrence. This correlation lost significance when zero-abundance (absence) sites were excluded from analysis, but only when this entailed a substantial drop in sample size. The same occurred when analysing relationships between abundance and probability of occurrence from previously published studies on a range of different species, suggesting that future studies could potentially use probability of occurrence as an approximate indicator of abundance when the latter is not possible to obtain. This possibility might, however, depend on life history traits of the species in question, with some traits favouring a relationship between occurrence and abundance. Reconstructing species abundance patterns from occurrence could be an important tool for conservation planning and the management of threatened species, allowing scientists to indicate the best areas for collection and reintroduction of plant germplasm or choose conservation areas most likely to maintain viable populations. MenosSpecies occurrence and abundance models are important tools that can be used in biodiversity conservation, and can be applied to predict or plan actions needed to mitigate the environmental impacts of hydropower dams. In this study our objectives were: (i) to model the occurrence and abundance of threatened plant species, (ii) to verify the relationship between predicted occurrence and true abundance, and (iii) to assess whether models based on abundance are more effective in predicting species occurrence than those based on presence?absence data. Individual representatives of nine species were counted within 388 randomly georeferenced plots (10 m × 50 m) around the Barra Grande hydropower dam reservoir in southern Brazil. We modelled their relationship with 15 environmental variables using both occurrence (Generalised Linear Models) and abundance data (Hurdle and Zero-Inflated models). Overall, occurrence models were more accurate than abundance models. For all species, observed abundance was significantly, although not strongly, correlated with the probability of occurrence. This correlation lost significance when zero-abundance (absence) sites were excluded from analysis, but only when this entailed a substantial drop in sample size. The same occurred when analysing relationships between abundance and probability of occurrence from previously published studies on a range of different species, suggesting that future studies could potentially use probability of occurrence a... Mostrar Tudo |
Palavras-Chave: |
Análisis estadístico; Barra Grande (RS); Biodiversidad; Energía hidroeléctrica; Madera tropical; Modelo de ocorrência e abundância; Pelotas (RS); Presence-absence model; Protección ambiental; Rio Grande do Sul. |
Thesagro: |
Análise estatística; Biodiversidade; Essência florestal; Hidrelétrica; Impacto ambiental; Proteção ambiental. |
Thesaurus Nal: |
Biodiversity; Environmental impact; Environmental protection; Hydroelectric power; Statistical analysis; Tropical wood. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 03440naa a2200433 a 4500 001 1916820 005 2021-07-06 008 2012 bl uuuu u00u1 u #d 022 $a0304-3800 024 7 $a10.1016/j.ecolmodel.2012.01.007$2DOI 100 1 $aGUARINO, E. de S. G. 245 $aOccurrence and abundance models of threatened plant species$bapplications to mitigate the impact of hydroelectric power dams.$h[electronic resource] 260 $c2012 520 $aSpecies occurrence and abundance models are important tools that can be used in biodiversity conservation, and can be applied to predict or plan actions needed to mitigate the environmental impacts of hydropower dams. In this study our objectives were: (i) to model the occurrence and abundance of threatened plant species, (ii) to verify the relationship between predicted occurrence and true abundance, and (iii) to assess whether models based on abundance are more effective in predicting species occurrence than those based on presence?absence data. Individual representatives of nine species were counted within 388 randomly georeferenced plots (10 m × 50 m) around the Barra Grande hydropower dam reservoir in southern Brazil. We modelled their relationship with 15 environmental variables using both occurrence (Generalised Linear Models) and abundance data (Hurdle and Zero-Inflated models). Overall, occurrence models were more accurate than abundance models. For all species, observed abundance was significantly, although not strongly, correlated with the probability of occurrence. This correlation lost significance when zero-abundance (absence) sites were excluded from analysis, but only when this entailed a substantial drop in sample size. The same occurred when analysing relationships between abundance and probability of occurrence from previously published studies on a range of different species, suggesting that future studies could potentially use probability of occurrence as an approximate indicator of abundance when the latter is not possible to obtain. This possibility might, however, depend on life history traits of the species in question, with some traits favouring a relationship between occurrence and abundance. Reconstructing species abundance patterns from occurrence could be an important tool for conservation planning and the management of threatened species, allowing scientists to indicate the best areas for collection and reintroduction of plant germplasm or choose conservation areas most likely to maintain viable populations. 650 $aBiodiversity 650 $aEnvironmental impact 650 $aEnvironmental protection 650 $aHydroelectric power 650 $aStatistical analysis 650 $aTropical wood 650 $aAnálise estatística 650 $aBiodiversidade 650 $aEssência florestal 650 $aHidrelétrica 650 $aImpacto ambiental 650 $aProteção ambiental 653 $aAnálisis estadístico 653 $aBarra Grande (RS) 653 $aBiodiversidad 653 $aEnergía hidroeléctrica 653 $aMadera tropical 653 $aModelo de ocorrência e abundância 653 $aPelotas (RS) 653 $aPresence-absence model 653 $aProtección ambiental 653 $aRio Grande do Sul 700 1 $aBARBOSA, A. M. 700 1 $aWAECHTER, J. L. 773 $tEcological Modelling, Maryland$gv. 230, p. 22-33, Apr. 2012.
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Embrapa Acre (CPAF-AC) |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
14/12/2006 |
Data da última atualização: |
07/12/2015 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MEIRELLES, W. F. |
Afiliação: |
WALTER FERNANDES MEIRELLES, CNPMS. |
Título: |
Variedades especiais de milho para agricultura familiar. |
Ano de publicação: |
2006 |
Fonte/Imprenta: |
In: SHOW TECNOLÓGICO DO CENTRO-SUL DO PARANÁ, 6., 2006, Guarapuava. Desafios tecnologicos regionais para o desenvolvimento do agronegócio e da agricultura familiar: [anais]. Guarapuava: UNICENTRO, 2006. p. 113-114. |
Idioma: |
Português |
Notas: |
Informativo Técnico Unicentro - Agronomia, v.2. |
Thesagro: |
Agricultura Familiar; Milho; Variedade. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/77218/1/Variedades-especiais.pdf
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Marc: |
LEADER 00641nam a2200145 a 4500 001 1474513 005 2015-12-07 008 2006 bl uuuu u00u1 u #d 100 1 $aMEIRELLES, W. F. 245 $aVariedades especiais de milho para agricultura familiar.$h[electronic resource] 260 $aIn: SHOW TECNOLÓGICO DO CENTRO-SUL DO PARANÁ, 6., 2006, Guarapuava. Desafios tecnologicos regionais para o desenvolvimento do agronegócio e da agricultura familiar: [anais]. Guarapuava: UNICENTRO, 2006. p. 113-114.$c2006 500 $aInformativo Técnico Unicentro - Agronomia, v.2. 650 $aAgricultura Familiar 650 $aMilho 650 $aVariedade
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