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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
14/01/2013 |
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Data da última atualização: |
14/01/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SCHNEIDER, N. A.; GIACOMELLI, F.; FOCHEZATO, J.; ROCKENBACH, P.; AZEVEDO FILHO, W. S. de; MULLER, C.; LOPES, J. R. S.; BOTTON, M.; CARVALHO, G. S. |
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Afiliação: |
Natalia A. Schneider, UCS; Fabio Giacomelli, UCS; Júlia Fochezato, UCS; Pablo Rockenbach, UCS; Wilson S. de Azevedo Filho, UCS; Cristiane Muller, ESALQ; João R. S. Lopes, ESALQ; MARCOS BOTTON, CNPUV; Gervásio S. Carvalho, PUCRS. |
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Título: |
Cigarrinhas (Cicadellidae: Cicadelinae) potenciais vetoras de Xylella fastidiosa em pomares de ameixeira no município de Protásio Alves, Rio Grande do Sul, Brasil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 24., 2012, Curitiba. Anais web. Curitiba: SEB: UFPR, 2012. |
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Idioma: |
Português |
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Thesagro: |
Fruticultura. |
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Categoria do assunto: |
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Marc: |
LEADER 00731nam a2200205 a 4500
001 1945112
005 2013-01-14
008 2012 bl uuuu u0uu1 u #d
100 1 $aSCHNEIDER, N. A.
245 $aCigarrinhas (Cicadellidae$bCicadelinae) potenciais vetoras de Xylella fastidiosa em pomares de ameixeira no município de Protásio Alves, Rio Grande do Sul, Brasil.
260 $aIn: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 24., 2012, Curitiba. Anais web. Curitiba: SEB: UFPR$c2012
650 $aFruticultura
700 1 $aGIACOMELLI, F.
700 1 $aFOCHEZATO, J.
700 1 $aROCKENBACH, P.
700 1 $aAZEVEDO FILHO, W. S. de
700 1 $aMULLER, C.
700 1 $aLOPES, J. R. S.
700 1 $aBOTTON, M.
700 1 $aCARVALHO, G. S.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
31/10/2019 |
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Data da última atualização: |
31/10/2019 |
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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: |
ALBERTON, B.; TORRES, R. da S.; SILVA, T. S. F.; ROCHA, H. R. da; MOURA, M. S. B. de; MORELLATO, L. P. C. |
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Afiliação: |
Bruna Alberton, UNESP - Rio Claro, SP; Ricardo da Silva Torres, UNICAMP; Thiago Sanna Freire Silva, University of Stirling, FK9 4LA Stirling, UK; Humberto R. da Rocha, USP - São Paulo, SP; MAGNA SOELMA BESERRA DE MOURA, CPATSA; Leonor Patricia Cerdeira Morellato, UNESP - Rio Claro, SP. |
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Título: |
Leafing patterns and drivers across seasonally dry tropical communities. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Remote Sensing, v. 11, 2267, 2019. |
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DOI: |
10.3390/rs11192267 |
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Idioma: |
Inglês |
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Conteúdo: |
Investigating the timing of key phenological events across environments with variable seasonality is crucial to understand the drivers of ecosystem dynamics. Leaf production in the tropics is mainly constrained by water and light availability. Identifying the factors regulating leaf phenology patterns allows eciently forecasting of climate change impacts. We conducted a novel phenological monitoring study across four Neotropical vegetation sites using leaf phenology time series obtained from digital repeated photographs (phenocameras). Seasonality diered among sites, from very seasonally dry climate in the caatinga dry scrubland with an eight-month long dry season to the less restrictive Cerrado vegetation with a six-month dry season. To unravel the main drivers of leaf phenology and understand how they influence seasonal dynamics (represented by the green color channel (Gcc) vegetation index), we applied Generalized Additive Mixed Models (GAMMs) to estimate the growing seasons, using water deficit and day length as covariates. Our results indicated that plant-water relationships are more important in the caatinga, while light (measured as day-length) was more relevant in explaining leafing patterns in Cerrado communities. Leafing behaviors and predictor-response relationships (distinct smooth functions) were more variable at the less seasonal Cerrado sites, suggesting that different life-forms (grasses, herbs, shrubs, and trees) are capable of overcoming drought through specific phenological strategies and associated functional traits, such as deep root systems in trees. MenosInvestigating the timing of key phenological events across environments with variable seasonality is crucial to understand the drivers of ecosystem dynamics. Leaf production in the tropics is mainly constrained by water and light availability. Identifying the factors regulating leaf phenology patterns allows eciently forecasting of climate change impacts. We conducted a novel phenological monitoring study across four Neotropical vegetation sites using leaf phenology time series obtained from digital repeated photographs (phenocameras). Seasonality diered among sites, from very seasonally dry climate in the caatinga dry scrubland with an eight-month long dry season to the less restrictive Cerrado vegetation with a six-month dry season. To unravel the main drivers of leaf phenology and understand how they influence seasonal dynamics (represented by the green color channel (Gcc) vegetation index), we applied Generalized Additive Mixed Models (GAMMs) to estimate the growing seasons, using water deficit and day length as covariates. Our results indicated that plant-water relationships are more important in the caatinga, while light (measured as day-length) was more relevant in explaining leafing patterns in Cerrado communities. Leafing behaviors and predictor-response relationships (distinct smooth functions) were more variable at the less seasonal Cerrado sites, suggesting that different life-forms (grasses, herbs, shrubs, and trees) are capable of overcoming drought through spe... Mostrar Tudo |
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Palavras-Chave: |
Fatores climáticos; Fenologia remota perto da superfície; Fenologia vegetativa; Sazonalidade; Séries temporais. |
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Thesagro: |
Clima; Mudança Climática; Vegetação. |
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Thesaurus NAL: |
Climatic zones. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204006/1/Leafing-Patterns-and-2019.pdf
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Marc: |
LEADER 02465naa a2200301 a 4500
001 2113701
005 2019-10-31
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3390/rs11192267$2DOI
100 1 $aALBERTON, B.
245 $aLeafing patterns and drivers across seasonally dry tropical communities.$h[electronic resource]
260 $c2019
520 $aInvestigating the timing of key phenological events across environments with variable seasonality is crucial to understand the drivers of ecosystem dynamics. Leaf production in the tropics is mainly constrained by water and light availability. Identifying the factors regulating leaf phenology patterns allows eciently forecasting of climate change impacts. We conducted a novel phenological monitoring study across four Neotropical vegetation sites using leaf phenology time series obtained from digital repeated photographs (phenocameras). Seasonality diered among sites, from very seasonally dry climate in the caatinga dry scrubland with an eight-month long dry season to the less restrictive Cerrado vegetation with a six-month dry season. To unravel the main drivers of leaf phenology and understand how they influence seasonal dynamics (represented by the green color channel (Gcc) vegetation index), we applied Generalized Additive Mixed Models (GAMMs) to estimate the growing seasons, using water deficit and day length as covariates. Our results indicated that plant-water relationships are more important in the caatinga, while light (measured as day-length) was more relevant in explaining leafing patterns in Cerrado communities. Leafing behaviors and predictor-response relationships (distinct smooth functions) were more variable at the less seasonal Cerrado sites, suggesting that different life-forms (grasses, herbs, shrubs, and trees) are capable of overcoming drought through specific phenological strategies and associated functional traits, such as deep root systems in trees.
650 $aClimatic zones
650 $aClima
650 $aMudança Climática
650 $aVegetação
653 $aFatores climáticos
653 $aFenologia remota perto da superfície
653 $aFenologia vegetativa
653 $aSazonalidade
653 $aSéries temporais
700 1 $aTORRES, R. da S.
700 1 $aSILVA, T. S. F.
700 1 $aROCHA, H. R. da
700 1 $aMOURA, M. S. B. de
700 1 $aMORELLATO, L. P. C.
773 $tRemote Sensing$gv. 11, 2267, 2019.
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Embrapa Semiárido (CPATSA) |
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