Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30433
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Leafing patterns and drivers across seasonally dry tropical communities
Author(s): Alberton, Bruna
Torres, Ricardo da Silva
Silva, Thiago Sanna Freire
da Rocha, Humberto R
Moura, Magna S B
Morellato, Leonor Patricia Cerdeira
Keywords: vegetative phenology
deciduousness
greenness
caatinga
cerrado
savanna
seasonality
climate drivers
time series
near-surface remote phenology
Issue Date: Oct-2019
Citation: Alberton B, Torres RdS, Silva TSF, da Rocha HR, Moura MSB & Morellato LPC (2019) Leafing patterns and drivers across seasonally dry tropical communities. Remote Sensing, 11 (19), Art. No.: 2267. https://doi.org/10.3390/rs11192267
Abstract: 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.
DOI Link: 10.3390/rs11192267
Rights: This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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