Leafing patterns and drivers across seasonally dry tropical communities.

Detalhes bibliográficos
Autor(a) principal: ALBERTON, B.
Data de Publicação: 2019
Outros Autores: TORRES, R. da S., SILVA, T. S. F., ROCHA, H. R. da, MOURA, M. S. B. de, MORELLATO, L. P. C.
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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spelling 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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