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\begin{document}

\title{Bridging scales: a temporal approach to evaluate global transpiration
products using tree-scale sap flow data}



\author[1]{Paulo R.L. Bittencourt}%
\author[2]{Lucy Rowland}%
\author[3]{Stephen Sitch}%
\author[4]{Rafael Poyatos}%
\author[5]{Diego G. Miralles}%
\author[4]{Maurizio Mencuccini}%
\affil[1]{College of Life and Environmental Sciences}%
\affil[2]{University of Exeterty}%
\affil[3]{University of Exeter}%
\affil[4]{CREAF}%
\affil[5]{Ghent University}%


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  \date{May 08, 2024}


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\begin{abstract}
Transpiration is a key process driving energy, water and thus carbon
dynamics. Global T products are fundamental for understanding and
predicting vegetation processes. However, validation of these
transpiration products is limited, mainly due to lack of suitable
datasets. We propose a method to use SAPFLUXNET, the first
quality-controlled global tree sap flow database, for evaluating
transpiration products at global scale. Our method is based on
evaluating temporal mismatches, rather than absolute values, by
standardizing both transpiration and sap flow products. We evaluate how
transpiration responses to hydro-meteorological variation from the
Global Land Evaporation Amsterdam Model (GLEAM), a widely used global
transpiration product, compare to in-situ responses from SAPFLUXNET
field data. Our results show GLEAM and SAPFLUXNET temporal trends are in
good agreement, but diverge under extreme conditions. Their temporal
mismatches differ depending on the magnitude of transpiration and are
not random, but linked to energy and water availability. Despite
limitations, we show that the new global SAPFLUXNET dataset is a
valuable tool to evaluate T products and identify problematic
assumptions and processes embedded in models. The approach we propose
can, therefore, be the foundation for a wider use of SAPFLUXNET, a new,
independent, source of information, to understand the mechanisms
controlling global transpiration fluxes.%
\end{abstract}%



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