Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2727-2023
https://doi.org/10.5194/bg-20-2727-2023
Research article
 | 
12 Jul 2023
Research article |  | 12 Jul 2023

Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphical models

Haiyang Shi, Geping Luo, Olaf Hellwich, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde

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Latest update: 25 Dec 2024
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Short summary
In studies on the relationship between ecosystem functions and climate and plant traits, previously used data-driven methods such as multiple regression and random forest may be inadequate for representing causality due to limitations such as covariance between variables. Based on FLUXNET site data, we used a causal graphical model to revisit the control of climate and vegetation traits over ecosystem functions.
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