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 UNESP |
Texto Completo: | http://dx.doi.org/10.3390/rs11192267 http://hdl.handle.net/11449/201233 |
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 efficiently 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 differed 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 communitiesCaatingaCerradoClimate driversDeciduousnessGreennessNear-surface remote phenologySavannaSeasonalityTime seriesVegetative phenologyInvestigating 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 efficiently 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 differed 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.Laborat'rio de Fenologia Instituto de Bioci'ncias Universidade Estadual Paulista (Unesp)Institute of Computing University of CampinasBiological and Environmental Sciences University of StirlingInstituto de Astronomia Geof'sica e Ci'ncias Atmosf'ricas Universidade de S'o PauloEmpresa Brasileira de Pesquisa Agropecu'ria Embrapa Semi'ridoLaborat'rio de Fenologia Instituto de Bioci'ncias Universidade Estadual Paulista (Unesp)Universidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)University of StirlingUniversidade de S'o PauloEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Alberton, Bruna [UNESP]Torres, Ricardo da SilvaSilva, Thiago Sanna Freireda Rocha, Humberto R.Moura, Magna S.B.Morellato, Leonor Patricia Cerdeira [UNESP]2020-12-12T02:27:25Z2020-12-12T02:27:25Z2019-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/rs11192267Remote Sensing, v. 11, n. 19, 2019.2072-4292http://hdl.handle.net/11449/20123310.3390/rs111922672-s2.0-85073408575Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensinginfo:eu-repo/semantics/openAccess2021-10-22T13:21:49Zoai:repositorio.unesp.br:11449/201233Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:07:12.976889Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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, Bruna [UNESP] Caatinga Cerrado Climate drivers Deciduousness Greenness Near-surface remote phenology Savanna Seasonality Time series Vegetative phenology |
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, Bruna [UNESP] |
author_facet |
Alberton, Bruna [UNESP] Torres, Ricardo da Silva Silva, Thiago Sanna Freire da Rocha, Humberto R. Moura, Magna S.B. Morellato, Leonor Patricia Cerdeira [UNESP] |
author_role |
author |
author2 |
Torres, Ricardo da Silva Silva, Thiago Sanna Freire da Rocha, Humberto R. Moura, Magna S.B. Morellato, Leonor Patricia Cerdeira [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Estadual de Campinas (UNICAMP) University of Stirling Universidade de S'o Paulo Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Alberton, Bruna [UNESP] Torres, Ricardo da Silva Silva, Thiago Sanna Freire da Rocha, Humberto R. Moura, Magna S.B. Morellato, Leonor Patricia Cerdeira [UNESP] |
dc.subject.por.fl_str_mv |
Caatinga Cerrado Climate drivers Deciduousness Greenness Near-surface remote phenology Savanna Seasonality Time series Vegetative phenology |
topic |
Caatinga Cerrado Climate drivers Deciduousness Greenness Near-surface remote phenology Savanna Seasonality Time series Vegetative phenology |
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 efficiently 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 differed 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 |
2019-10-01 2020-12-12T02:27:25Z 2020-12-12T02:27:25Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/rs11192267 Remote Sensing, v. 11, n. 19, 2019. 2072-4292 http://hdl.handle.net/11449/201233 10.3390/rs11192267 2-s2.0-85073408575 |
url |
http://dx.doi.org/10.3390/rs11192267 http://hdl.handle.net/11449/201233 |
identifier_str_mv |
Remote Sensing, v. 11, n. 19, 2019. 2072-4292 10.3390/rs11192267 2-s2.0-85073408575 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129286816661504 |