Stomatal responses of terrestrial plants to global change

Xingyun Liang, Defu Wang, Qing Ye (), Jinmeng Zhang, Mengyun Liu, Hui Liu, Kailiang Yu, Yujie Wang, Enqing Hou, Buqing Zhong, Long Xu, Tong Lv, Shouzhang Peng, Haibo Lu, Pierre Sicard, Alessandro Anav and David S. Ellsworth
Additional contact information
Xingyun Liang: Chinese Academy of Sciences
Defu Wang: Chinese Academy of Sciences
Qing Ye: Chinese Academy of Sciences
Jinmeng Zhang: Jiangsu Second Normal University
Mengyun Liu: Guangdong Academy of Forestry, Guangzhou
Hui Liu: Chinese Academy of Sciences
Kailiang Yu: Princeton University
Yujie Wang: California Institute of Technology, Pasadena
Enqing Hou: Chinese Academy of Sciences
Buqing Zhong: Chinese Academy of Sciences
Long Xu: Chinese Academy of Sciences
Tong Lv: Northwest A&F University
Shouzhang Peng: Northwest A&F University
Haibo Lu: Beijing Normal University
Pierre Sicard: ARGANS Ltd
Alessandro Anav: CR Casaccia
David S. Ellsworth: Western Sydney University

Nature Communications, 2023, vol. 14, issue 1, 1-13

Abstract: Abstract Quantifying the stomatal responses of plants to global change factors is crucial for modeling terrestrial carbon and water cycles. Here we synthesize worldwide experimental data to show that stomatal conductance (gs) decreases with elevated carbon dioxide (CO2), warming, decreased precipitation, and tropospheric ozone pollution, but increases with increased precipitation and nitrogen (N) deposition. These responses vary with treatment magnitude, plant attributes (ambient gs, vegetation biomes, and plant functional types), and climate. All two-factor combinations (except warming + N deposition) significantly reduce gs, and their individual effects are commonly additive but tend to be antagonistic as the effect sizes increased. We further show that rising CO2 and warming would dominate the future change of plant gs across biomes. The results of our meta-analysis provide a foundation for understanding and predicting plant gs across biomes and guiding manipulative experiment designs in a real world where global change factors do not occur in isolation.

Date: 2023
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DOI: 10.1038/s41467-023-37934-7

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