02465naa a2200301 a 450000100080000000500110000800800410001902400280006010000170008824501000010526000090020552016030021465000190181765000100183665000240184665000160187065300240188665300420191065300250195265300170197765300220199470000210201670000200203770000200205770000230207770000240210077300390212421137012019-10-31 2019 bl uuuu u00u1 u #d7 a10.3390/rs111922672DOI1 aALBERTON, B. aLeafing patterns and drivers across seasonally dry tropical communities.h[electronic resource] c2019 aInvestigating 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. aClimatic zones aClima aMudança Climática aVegetação aFatores climáticos aFenologia remota perto da superfície aFenologia vegetativa aSazonalidade aSéries temporais1 aTORRES, R. da S.1 aSILVA, T. S. F.1 aROCHA, H. R. da1 aMOURA, M. S. B. de1 aMORELLATO, L. P. C. tRemote Sensinggv. 11, 2267, 2019.