Leafing patterns and drivers across seasonally dry tropical communities.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113701 |
Resumo: | 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. |
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Leafing patterns and drivers across seasonally dry tropical communities.Fenologia vegetativaSazonalidadeFatores climáticosSéries temporaisFenologia remota perto da superfícieVegetaçãoClimaMudança ClimáticaClimatic zonesInvestigating 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.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.ALBERTON, B.TORRES, R. da S.SILVA, T. S. F.ROCHA, H. R. daMOURA, M. S. B. deMORELLATO, L. P. C.2019-10-31T18:15:42Z2019-10-31T18:15:42Z2019-10-3120192019-10-31T18:15:42Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRemote Sensing, v. 11, 2267, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/111370110.3390/rs11192267enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-10-31T18:15:49Zoai:www.alice.cnptia.embrapa.br:doc/1113701Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-10-31T18:15:49falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-10-31T18:15:49Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Leafing patterns and drivers across seasonally dry tropical communities. |
title |
Leafing patterns and drivers across seasonally dry tropical communities. |
spellingShingle |
Leafing patterns and drivers across seasonally dry tropical communities. ALBERTON, B. Fenologia vegetativa Sazonalidade Fatores climáticos Séries temporais Fenologia remota perto da superfície Vegetação Clima Mudança Climática Climatic zones |
title_short |
Leafing patterns and drivers across seasonally dry tropical communities. |
title_full |
Leafing patterns and drivers across seasonally dry tropical communities. |
title_fullStr |
Leafing patterns and drivers across seasonally dry tropical communities. |
title_full_unstemmed |
Leafing patterns and drivers across seasonally dry tropical communities. |
title_sort |
Leafing patterns and drivers across seasonally dry tropical communities. |
author |
ALBERTON, B. |
author_facet |
ALBERTON, B. TORRES, R. da S. SILVA, T. S. F. ROCHA, H. R. da MOURA, M. S. B. de MORELLATO, L. P. C. |
author_role |
author |
author2 |
TORRES, R. da S. SILVA, T. S. F. ROCHA, H. R. da MOURA, M. S. B. de MORELLATO, L. P. C. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
ALBERTON, B. TORRES, R. da S. SILVA, T. S. F. ROCHA, H. R. da MOURA, M. S. B. de MORELLATO, L. P. C. |
dc.subject.por.fl_str_mv |
Fenologia vegetativa Sazonalidade Fatores climáticos Séries temporais Fenologia remota perto da superfície Vegetação Clima Mudança Climática Climatic zones |
topic |
Fenologia vegetativa Sazonalidade Fatores climáticos Séries temporais Fenologia remota perto da superfície Vegetação Clima Mudança Climática Climatic zones |
description |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-31T18:15:42Z 2019-10-31T18:15:42Z 2019-10-31 2019 2019-10-31T18:15:42Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Remote Sensing, v. 11, 2267, 2019. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113701 10.3390/rs11192267 |
identifier_str_mv |
Remote Sensing, v. 11, 2267, 2019. 10.3390/rs11192267 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113701 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503482833633280 |