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Relationship between tropical leaf phenology and ecosystem productivity using phenocameras

dc.contributor.authorAlberton, Bruna [UNESP]
dc.contributor.authorMartin, Thomas C. M.
dc.contributor.authorDa Rocha, Humberto R.
dc.contributor.authorRichardson, Andrew D.
dc.contributor.authorMoura, Magna S. B.
dc.contributor.authorTorres, Ricardo S.
dc.contributor.authorMorellato, Leonor Patricia Cerdeira [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionInstituto Tecnológico Vale
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionNorthern Arizona University
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionNTNU—Norwegian University of Science and Technology
dc.contributor.institutionWageningen University and Research
dc.date.accessioned2025-04-29T20:14:55Z
dc.date.issued2023-01-01
dc.description.abstractIntroduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain photosynthetic seasonality in evergreen tropical forests, but the question is still open for seasonally tropical ecosystems. In the search for implementing long-term phenology monitoring in the tropics, phenocameras have proven to be an accurate method to estimate vegetative phenology in tropical communities. Here, we investigated the temporal patterns of leaf phenology and their relation to gross primary productivity (GPP) in a comparative study across three contrasting tropical biomes: dry forest (caatinga), woodland savanna (cerrado), and rainforest (Atlantic Forest). Methods: We monitored leaf phenology (phenocameras) and estimated gross primary productivity (eddy-covariance) continuously over time at three study sites. We investigated the main drivers controlling leaf phenology and tested the performance of abiotic (climate) and biotic (phenology) factors to explain gross primary productivity across sites. Results: We found that camera-derived indices presented the best relationships with gross primary productivity across all sites. Gross primary productivity seasonality was controlled by a gradient of water vs. light, where caatinga dry forest was water-limited, cerrado vegetation responded to water seasonality and light, and rainforest was mainly controlled by light availability. Vegetation phenology was tightly associated with productivity in the driest ecosystem (caatinga), where productivity was limited to the wet season, and the camera-derived index (Gcc) was the best proxy for gross primary productivity. Discussion: Leaf phenology increased their relative importance over gross primary productivity seasonality at less seasonal sites (cerrado and rainforest), where multiple leafing strategies influenced carbon exchanges. Our multi-site comparison, along with fine-scale temporal observations of leaf phenology and gross primary productivity patterns, uncovered the relationship between leafing and productivity across tropical ecosystems under distinct water constraints.en
dc.description.affiliationCenter for Research on Biodiversity Dynamics and Climate Change Phenology Lab Department of Biodiversity Biosciences Institute São Paulo State University (UNESP)
dc.description.affiliationInstituto Tecnológico Vale
dc.description.affiliationDepartamento de Ciências Atmosféricas Instituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de São Paulo
dc.description.affiliationCenter for Ecosystem Science and Society School of Informatics Computing and Cyber Systems Northern Arizona University
dc.description.affiliationEmpresa Brasileira de Pesquisa Agropecuária Embrapa Semiárido
dc.description.affiliationDepartment of ICT and Natural Sciences NTNU—Norwegian University of Science and Technology
dc.description.affiliationWageningen Data Competence Center Wageningen University and Research
dc.description.affiliationUnespCenter for Research on Biodiversity Dynamics and Climate Change Phenology Lab Department of Biodiversity Biosciences Institute São Paulo State University (UNESP)
dc.identifierhttp://dx.doi.org/10.3389/fenvs.2023.1223219
dc.identifier.citationFrontiers in Environmental Science, v. 11.
dc.identifier.doi10.3389/fenvs.2023.1223219
dc.identifier.issn2296-665X
dc.identifier.scopus2-s2.0-85173035429
dc.identifier.urihttps://hdl.handle.net/11449/309245
dc.language.isoeng
dc.relation.ispartofFrontiers in Environmental Science
dc.sourceScopus
dc.subjectatlantic forest
dc.subjectcaatinga
dc.subjectcerrado
dc.subjectdrivers
dc.subjectGPP
dc.subjectleaf phenology
dc.subjectphenocameras
dc.subjectproductivity
dc.titleRelationship between tropical leaf phenology and ecosystem productivity using phenocamerasen
dc.typeArtigopt
dspace.entity.typePublication

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