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| Registros recuperados : 19 | |
| 12. |  | SENA, J. M. A. de; MIRANDA, R. DE q.; GALVÍNCIO, J. D.; ALBERTON, B. de C.; MORELLATO, L. P. C.; MOURA, M. S. B. de. Associação clima x monitoramento fenológico da Caatinga por meio de câmeras digitais: aspectos metodológicos. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 11., 2016, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2016. p. 163-169. (Embrapa Semiárido. Documentos, 271).| Biblioteca(s): Embrapa Semiárido. |
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| 13. | | ALBERTON, B.; MARTIN, T. C. M.; ROCHA, H. R. da; RICHARDSON, A. D.; MOURA, M. S. B. de; TORRES, R. S.; MORELLATO, L. P. C. Relationship between tropical leaf phenology and ecosystem productivity using phenocameras. Frontiers in Environmental Science, v. 11, 1223219, Sept. 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 15. | | RAMOS, D. M.; ANDRADE, J. M.; ALBERTON, B. C.; MOURA, M. S. B. de; DOMINGUES, T. F.; NEVES, N.; LIMA, J. R. S.; SOUZA, R.; SOUZA, E.; SILVA, J. R.; SANTO, M. M. E.; MORELLATO, L. P. C.; CUNHA, J. Multiscale phenology of seasonally dry tropical forests in an aridity gradient. Frontiers in Environmental Sciience, v. 11, 1275844, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 16. | | MOURA, M. S. B. de; MIRANDA, R. Q.; ALBERTON, B.; MORELLATO, L. P. C.; RODRIGUES, G. D. S.; SOUZA, L. S. B.; GALVINCIO, J. D.; KIILL, L. H. P. Uso de índices RGB para o Bioma Caatinga associados a dados meteorológicos e índices de vegetação: estudos iniciais. In: CONGRESSO BRASILEIRO DE METEOROLOGIA, 18., 2014, Recife. O papel da meteorologia na construção de uma sociedade sustentável. Recife: SBMET, 2014.| Biblioteca(s): Embrapa Semiárido. |
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| 17. | | JARDIM, A. M. da R. F.; MORAIS, J. E. F. de; SOUZA, L. S. B. de; MARIN, F. R.; MOURA, M. S. B. de; MORELLATO, L. P. C.; MONTENEGRO, A. A. de A.; OMETTO, J. P. H. B.; LIMA, J. L. M. P. de; DUBEUX JÚNIOR, J. C. B.; SILVA, T. G. F. da. Sink or carbon source? how the Opuntia cactus agroecosystem interacts in the use of carbon, nutrients and radiation in the Brazilian semi-arid region. Journal of Hydrology, v. 625, 130121, 2023.| Biblioteca(s): Embrapa Semiárido. |
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| 18. | | FERNANDES, G. W.; ARANTES-GARCIA, L.; BARBOS, M.; BARBOS, N. P. U.; BATISTA, E. K. L.; BEIROZ, W.; RESENDE, F. M.; ABRAHÃO, A.; ALMADA, E. D.; ALVES, E.; ALVES, N. J.; ANGRISANO, P.; ARISTA, M.; ARROYO, J.; ARRUDA, A. J.; BAHIA, T. de O.; BRAGA, L.; BRITO, L.; CALLISTO, M.; CAMINHA-PAIVA, D.; CARVALHO, M.; CONCEIÇÃO, A. A.; COSTA, L. N.; CRUZ, A.; CUNHA-BLUM, J.; DAGEVOS, J.; DIAS, B. F. S.; PINTO, V. D.; DIRZO, R.; DOMINGOS, D. Q.; ECHTERNACHT, L.; FERNANDES, S.; FIGUEIRA, J. E. C.; FIORINI, C. F.; GIULIETTI, A. M.; GOMES, A.; GOMES, V. M.; GONTIJO, B.; GOULART, F.; GUERRA, T. J.; JUNQUEIRA, P. A.; LIMA-SANTOS, D.; MARQUES, J.; MEIRA-NETO, J.; MIOLA, D. T. B.; MORELLATO, L. P. C.; NEGREIROS, D.; NEIRE, E.; NEVES, A. C.; NEVES, F. S.; NOVAIS, S.; OKI, Y.; OLIVEIRA, E.; OLIVEIRA, R. S.; PIVARI, M. O.; PONTES JUNIOR, E.; RANIERI, B. D.; RIBAS, R. P.; SCARIOT, A.; ECHAEFER, C. E.; SENA, L.; SILVA, P. G. da; SIQUEIRA, P. R.; SOARES, N. C.; SOARES-FILHO, B.; SOLAR, R.; TABARELLI, M.; VASCONCELLOS, R.; VILELA, E.; SILVEIRA, F. A. O. Biodiversity and ecosystem services in the Campo Rupestre: a road map for the sustainability of the hottest Brazilian biodiversity hotspot. Perspectives in Ecology and Conservation, v. 18, p. 213-222, 2020| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 19. | | RAMOS, F. N.; MORTARA, S. R.; MONALISA-FRANCISCO, N.; ELIAS, J. P. C.; MENINI NETO, L.; FREITAS, L.; KERSTEN, R. de A.; AMORIM, A. M.; MATOS, F. B. de; NUNES-FREITAS, A. F.; ALCANTARA, S.; ALEXANDRE, M. H. N.; ALMEIDA-SCABBIA, R. J. de; ALMEIDA, O. J. G. de; ALVES, F. E.; ALVES, R. M. de O.; ALVIM, F. S.; ANDRADE, A. C. S. de; ANDRADE, S. de; AONA, L. Y. S.; ARAUJO. A. C.; ARAÚJO, K. C. T. de; ARIATI, V.; ASSIS, J. C.; AZEVEDO, C. O. de; BARBOSA, B. F.; BARBOSA, D. E. F.; BARBOSA, F. dos R.; BARROS, F. de; BASILIO, G. A.; BATAGHIN, F. A.; BERED, F.; BIANCHI, J. S.; BLUM, C. T.; BOETLER, C. R.; BONNET, A.; BRANCALION, P. H. S.; BREIER, T. B.; BRION, C. de T.; BUZATTO, C. R.; CABRAL, A.; CADORIN, T. J.; CAGLIONI, E.; CANÊZ, L.; CARDOSO, P. H.; CARVALHO, F. S. de; CARVALHO, R. G.; CATHARINO, E. L. M.; CEBALLOS, S. J.; CEREZINI, M. T.; CÉSAR, R. G.; CESTARI, C.; CHAVES, C. J. N.; CITADINE-ZANETTE, V.; COELHO, L. F. M.; COFFANI-NUNES, J. V.; COLARES, R.; COLLETTA, G. D.; CORRÊA, N. de M.; COSTA, A. F. da; COSTA, G. M. da; COSTA, L. M. S.; COSTA, N. G. S.; COUTO, D. R.; CRISTOFOLINI, C.; CRUZ, A. C. R. da; DEL NERI, L. A.; DI PASQUO, M.; DIAS, A. dos S.; DIAS, L. do C. D.; DISLICH, R.; DUARTE, M. C.; FABRICANTE, J. R.; FARACHE, F. H. A.; FARIA, A. P. G. de; FAXINA, C.; FERREIRA, M. T. M.; FISCHER, E.; FONSECA, C. R.; FONTOURA, T.; FRANCISCO, T. M.; FURTADO, S. G.; GALETTI, M.; GALETTI, M.; GARBIN, M. L.; GASPER, A. L. de; GOETZE, M.; GOMES-DA-SILVA, J.; GONÇALVES, M. F. A.; GONZAGA, D. R.; SILVA, A. C. G. e; GUARALDO, A. de C.; GUARINO, E. de S. G.; GUISLON, A. V.; HUDSON, L. B.; JARDIM, J. G.; JUNGBLUTH, P.; KAESER, S. dos S.; KESSOUS, I. M.; KOCH, N. M.; KUNIYOSHI, Y. S.; LABIAK, P. H.; LAPATE, M. E.; SANTOS, A. C. L.; LEAL, R. L. B.; LEITE, F. S.; LEITMAN, P.; LIBONI, A. P.; LIEBSCH, D.; LINGNER, D. V.; LOMBARDI, J. A.; LUCAS, E.; LUZZI, J. dos R.; MAI, P.; MANIA, L. F.; MANTOVANI, W.; MARAGNI, A. G.; MARQUES, M. C. M.; MARQUEZ, G.; MARTINS, C.; MARTINS, L. do N.; MARTINS, P. L. S. S.; MAZZIERO, F. F. F.; MELO, C. de A.; MELO, M. M. F. de; MENDES, A. F.; MESACASA, L.; MORELLATO, L. P. C.; MORENO, V. de S.; MULLER, A.; MURAKAMI, M. M. da S.; CECCONELLO, E.; NARDY, C.; NERVO, M. H.; NEVES, B.; NOGUEIRA, M. G. C.; NONATO, F. R.; OLIVEIRA-FILHO, A. T. de; OLIVEIRA, C. P. L. de; OVERBECK, G. E.; MARCUSSO, G. M.; PACIENCIA, M. L. B.; PADILHA, P.; PADILHA, P. T.; PEREIRA, A. C. A.; PEREIRA, L. C.; PEREIRA, R. A. S.; PINCHEIRA-ULBRICH, J.; PIRES, J. S. R.; PIZO, M. A.; PÔRTO, K. C.; RATTIS, L.; REIS, J. R. de M.; REIS, S. G. dos; ROCHA-PESSÔA, T. C.; ROCHA, C. F. D.; ROCHA, F. S.; RODRIGUES, A. R. P.; RODRIGUES, R. R.; ROGALSKI, J. M.; ROSANELLI, R. L.; ROSSADO, A.; ROSSATTO, D. R.; ROTHER, D. C.; RUIZ-MIRANDA, C. R.; SAITER, F. Z.; SAMPAIO, M. B.; SANTANA, L. D.; SANTOS, J. S. dos; SARTORELLO, R.; SAZIMA, M.; SCHMITT, J. L.; SCHNEIDER, G.; SCHROEDER, B. G.; SEVEGNANI, L.; SILVA JÚNIOR, V. O.; SILVA, F. R. da; SILVA, M. J. da; SILVA, M. P. P.; SILVA, R. G.; SILVA, S. M.; SINGER, R. B.; SIQUEIRA, G.; SOARES, L. E.; SOUSA, H. C. de; SPIELMANN, A.; TONETTI, V. R.; TONIATO, M. T. Z.; ULGUIM, P. S. B.; VAN DEN BERG, C.; VAN DEN BERG, E.; VARASSIN, I. G.; SILVA, I. B. V. da; VIBRANS, A. C.; WAECHTER, J. L.; WEISSENBERG, E. W.; WINDISCH, P. G.; WOLOWSKI, M.; YAÑEZ, A.; YOSHIKAWA, V. N.; ZANDONÁ, L. R.; ZANELLA, C. M.; ZANIN, E. M.; ZAPPI, D. C.; ZIPPARRO, V. B.; ZORZANELLI, J. P. F.; RIBEIRO, M. C. Atlantic epiphytes: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest. Ecology, v. 100, n. 2, e02541, 2019. 59 p.| Biblioteca(s): Embrapa Cerrados; Embrapa Clima Temperado; Embrapa Florestas. |
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| Registros recuperados : 19 | |
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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: |
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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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