Relationship between tropical leaf phenology and ecosystem productivity using phenocameras
| dc.contributor.author | Alberton, Bruna [UNESP] | |
| dc.contributor.author | Martin, Thomas C. M. | |
| dc.contributor.author | Da Rocha, Humberto R. | |
| dc.contributor.author | Richardson, Andrew D. | |
| dc.contributor.author | Moura, Magna S. B. | |
| dc.contributor.author | Torres, Ricardo S. | |
| dc.contributor.author | Morellato, Leonor Patricia Cerdeira [UNESP] | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Instituto Tecnológico Vale | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Northern Arizona University | |
| dc.contributor.institution | Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) | |
| dc.contributor.institution | NTNU—Norwegian University of Science and Technology | |
| dc.contributor.institution | Wageningen University and Research | |
| dc.date.accessioned | 2025-04-29T20:14:55Z | |
| dc.date.issued | 2023-01-01 | |
| dc.description.abstract | Introduction: 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.affiliation | Center for Research on Biodiversity Dynamics and Climate Change Phenology Lab Department of Biodiversity Biosciences Institute São Paulo State University (UNESP) | |
| dc.description.affiliation | Instituto Tecnológico Vale | |
| dc.description.affiliation | Departamento de Ciências Atmosféricas Instituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de São Paulo | |
| dc.description.affiliation | Center for Ecosystem Science and Society School of Informatics Computing and Cyber Systems Northern Arizona University | |
| dc.description.affiliation | Empresa Brasileira de Pesquisa Agropecuária Embrapa Semiárido | |
| dc.description.affiliation | Department of ICT and Natural Sciences NTNU—Norwegian University of Science and Technology | |
| dc.description.affiliation | Wageningen Data Competence Center Wageningen University and Research | |
| dc.description.affiliationUnesp | Center for Research on Biodiversity Dynamics and Climate Change Phenology Lab Department of Biodiversity Biosciences Institute São Paulo State University (UNESP) | |
| dc.identifier | http://dx.doi.org/10.3389/fenvs.2023.1223219 | |
| dc.identifier.citation | Frontiers in Environmental Science, v. 11. | |
| dc.identifier.doi | 10.3389/fenvs.2023.1223219 | |
| dc.identifier.issn | 2296-665X | |
| dc.identifier.scopus | 2-s2.0-85173035429 | |
| dc.identifier.uri | https://hdl.handle.net/11449/309245 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Frontiers in Environmental Science | |
| dc.source | Scopus | |
| dc.subject | atlantic forest | |
| dc.subject | caatinga | |
| dc.subject | cerrado | |
| dc.subject | drivers | |
| dc.subject | GPP | |
| dc.subject | leaf phenology | |
| dc.subject | phenocameras | |
| dc.subject | productivity | |
| dc.title | Relationship between tropical leaf phenology and ecosystem productivity using phenocameras | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication |

