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\begin{document}

\title{Response of a seasonally dry tropical forest to interannual rainfall
variability}



\author[1]{Jose Raliuson Silva}%
\author[2]{Eduardo de Souza}%
\author[1]{José Romualdo Lima}%
\author[3]{Suzana Montenegro}%
\author[4]{Andre Almeida}%
\author[5]{Aldo Sales}%
\author[5]{Antonio Antonino}%
\author[6]{Samantha Hartzell}%
\author[7]{Salvatore Calabrese}%
\author[8]{Rodolfo Marcondes Silva Souza}%
\affil[1]{Federal Rural University of Pernambuco}%
\affil[2]{UFRPE - Federal Rural University of Pernambuco}%
\affil[3]{UFPE Federal University of Pernambuco}%
\affil[4]{Universidade Federal de Sergipe}%
\affil[5]{Federal University of Pernambuco}%
\affil[6]{Duke University}%
\affil[7]{Texas A\&M University}%
\affil[8]{Texas A\&M University College Station}%


\vspace{-1em}



  
  \date{May 19, 2024}


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\selectlanguage{english}
\begin{abstract}
Seasonally dry tropical forests (SDTFs) are well adapted to seasonal and
interannual rainfall variability and have mechanisms to control growth
dynamics under water limitation. The forest starts flushing the leaves
following the first rainfall events of the wet season, after which it
grows fast and remains green until litterfall starts at the end of the
wet season. Although ecosystem adaptation is known to buffer seasonal
rainfall variability, yearly fluctuations in biomass productivity are
still observed. In order to understand the origin of these productivity
fluctuations, here we analyze the effects of rainfall variability
(seasonal, interannual, and spatial) on the growth dynamics of an SDTF
located in the semi-arid region of Brazil. We used a coupled soil water
and vegetation model to simulate soil moisture and NDVI dynamics in
three sites across a rainfall gradient (from 400 to 800 mm year-1) to
compute specific assimilation (kA) and respiration (kR) rates for 19
hydrological years. Based on the time-series of the rainfall and kA, the
analysis shows that in all three sites kA tends to increase following
dry years and to decrease following wet ones, whereas kR is about ten
times smaller and does not vary particularly over time. The observed
patterns of kA and kR suggest an interannual mechanism to buffer
long-term rainfall variability and mitigate water stress by tuning
assimilation rates.%
\end{abstract}%



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\includegraphics[width=0.70\columnwidth]{figures/dinamica-ndvi2/dinamica-ndvi2}

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\end{figure}\selectlanguage{english}
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\includegraphics[width=0.70\columnwidth]{figures/dinamica-ndvi-rain-ka/dinamica-ndvi-rain-ka}

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\end{figure}\selectlanguage{english}
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\includegraphics[width=0.70\columnwidth]{figures/histograma-box-plot/histograma-box-plot}

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\end{figure}

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