13 Sep 2022
 | 13 Sep 2022
Status: a revised version of this preprint is currently under review for the journal BG.

Revisiting and attributing the global controls on terrestrial ecosystem functions of climate and plant traits at FLUXNET sites with causal networks

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

Abstract. Using statistical methods that do not emphasize the systematic causality to attribute climate and plant traits to control ecosystem function may produce biased perceptions. We revisit this issue using a Bayesian network (BN) capable of quantifying causality. Based on expert knowledge and climate, vegetation, and ecosystem function data from the FLUXNET flux stations, we constructed a BN containing the causal relationship of 'climate-plant trait-ecosystem function'. Based on the sensitivity analysis function of the BN, we attributed the control of climate and plant traits to ecosystem function and compared the results with those based on Random forests and correlation analysis. The main conclusions of this study include: BN can be used for the quantification of causal relationships between complex ecosystems and climatic and environmental systems, and enables the analysis of indirect effects among variables. The control of ecosystem function by climate variables (especially mean temperature and mean vapor pressure deficit) may have been underestimated previously, and the mechanism of indirect effects of climate variables on ecosystem function through plant traits should be emphasized in future studies. Further inclusion of temporal information in BN holds promise for improving the analysis of lagged effects and interactions and feedback effects between variables.

Haiyang Shi et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2022-191', Anonymous Referee #1, 26 Oct 2022
  • RC2: 'Comment on bg-2022-191', Anonymous Referee #2, 28 Nov 2022

Haiyang Shi et al.

Haiyang Shi et al.


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Short summary
In studies of the relationship between ecosystem function and climate and plant traits, previous studies based on data-driven methods such as multiple regression and random forest may be inadequate for the representation of systematic causality due to limitations such as covariance among variables. Based on FLUXNET site data, we used a causal network to revisit the control of climate and vegetation traits on ecosystem function.