CaltechAUTHORS
Published April 17, 2023 | Version Published + Supplemental Material
Journal Article Open

Stomatal responses of terrestrial plants to global change

Creators

  • 1. ROR icon South China Institute of Botany
  • 2. ROR icon Gannan Normal University
  • 3. ROR icon Jiangsu Second Normal University
  • 4. ROR icon Guangdong Academy of Forestry
  • 5. ROR icon Princeton University
  • 6. ROR icon California Institute of Technology
  • 7. ROR icon North West Agriculture and Forestry University
  • 8. ROR icon Beijing Normal University
  • 9. ROR icon National Agency for New Technologies, Energy and Sustainable Economic Development
  • 10. ROR icon Western Sydney University

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.

Additional Information

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. We thank all the researchers whose data were used in this meta-analysis. This work was supported by the National Natural Science Foundation of China (31825005, 32171503 and 31800336), the Guangdong Basic and Applied Basic Research Foundation (2020A1515010688). DE was supported by the Chinese Academy of Sciences President's International Fellowship Initiative, Grant No. 2018VBA0015. Contributions. X.L. and Q.Y. designed the study; X.L., D.W., J.Z., M.L., B.Z., L.X., T.L., S.P., H.L., P.S. and A.A. collected and analyzed the data; X.L. drafted the manuscript; Q.Y., H.L., K.Y., Y.W., E.H. and D.E. revised the manuscript. Data availability. The data generated in this study are provided in the Supplementary Data file. Code availability. The code supporting the findings of meta-analysis presented here is available at Figshare (https://doi.org/10.6084/m9.figshare.21800822.v4). The authors declare no competing interests.

Attached Files

Published - 41467_2023_Article_37934.pdf

Supplemental Material - 41467_2023_37934_MOESM1_ESM.pdf

Supplemental Material - 41467_2023_37934_MOESM2_ESM.xlsx

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Additional details

Identifiers

PMCID
PMC10110556
Eprint ID
121450
Resolver ID
CaltechAUTHORS:20230519-1531000.8

Related works

Describes
10.6084/m9.figshare.21800822.v4 (DOI)

Funding

National Natural Science Foundation of China
31825005
National Natural Science Foundation of China
32171503
National Natural Science Foundation of China
31800336
Guangdong Basic and Applied Basic Research Foundation
2020A1515010688
Chinese Academy of Sciences
2018VBA0015

Dates

Created
2023-05-22
Created from EPrint's datestamp field
Updated
2023-05-22
Created from EPrint's last_modified field