Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes

Decadal changes in terrestrial surface wind speed since the 1960s have been extensively documented, while the mechanism and the extent of their impacts on terrestrial ecosystem productivity remain unclear. Here, we systematically explore the impacts of wind speed changes on terrestrial gross primary production (GPP) using satellite-derived data, reanalysis datasets, flux tower observations, CMIP6 models, and exploratory simulation experiments. Our results show a negative sensitivity of terrestrial GPP to wind speed change, ranging from -156.67 to -65.82 g C m<sup>-2</sup> yr<sup>-1</sup> (m s<sup>-1</sup>)<sup>-1</sup>, across different data sources from 1983 to 2100. This is mainly attributed to the impacts of wind speed decline on stomatal conductance by reducing atmospheric dryness and soil drying. We find that during 1983 - 2010, wind speed decline is the most important factor, after rising atmospheric CO<sub>2</sub> concentrations, in its contribution to the increasing trend in GPP (6.0% -7.8%). With further declines in wind speed, this contribution to GPP is projected to rank between second and third during 2031 - 2100. Among seven plant functional types, grasslands contribute most to the wind-induced changes in the GPP trend under current and future climates. These findings highlight the substantial effects of wind speed on centennial-scale global carbon dynamics.

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Publication Details

Journal
Nature Communications
Published
2025-10-21
DOI
https://doi.org/10.1038/s41467-025-65000-x
Citations
2
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
3.34

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article

Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes

Kailiang Yu, Congsheng Fu, Huawu Wu, Dagang Wang et al.
2 citations
Nature Communications
Aeolian processes and effects
3.34
article

Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes

Kailiang Yu, Congsheng Fu, Huawu Wu, Dagang Wang, Philippe Ciais, Jianyao Chen, Haohao Wu, Qing Zhu, Z. A. Mekonnen, Lingling Zhang, Guishan Yang
article en
2 citations

Abstract

Decadal changes in terrestrial surface wind speed since the 1960s have been extensively documented, while the mechanism and the extent of their impacts on terrestrial ecosystem productivity remain unclear. Here, we systematically explore the impacts of wind speed changes on terrestrial gross primary production (GPP) using satellite-derived data, reanalysis datasets, flux tower observations, CMIP6 models, and exploratory simulation experiments. Our results show a negative sensitivity of terrestrial GPP to wind speed change, ranging from -156.67 to -65.82 g C m<sup>-2</sup> yr<sup>-1</sup> (m s<sup>-1</sup>)<sup>-1</sup>, across different data sources from 1983 to 2100. This is mainly attributed to the impacts of wind speed decline on stomatal conductance by reducing atmospheric dryness and soil drying. We find that during 1983 - 2010, wind speed decline is the most important factor, after rising atmospheric CO<sub>2</sub> concentrations, in its contribution to the increasing trend in GPP (6.0% -7.8%). With further declines in wind speed, this contribution to GPP is projected to rank between second and third during 2031 - 2100. Among seven plant functional types, grasslands contribute most to the wind-induced changes in the GPP trend under current and future climates. These findings highlight the substantial effects of wind speed on centennial-scale global carbon dynamics.

Nature CommunicationsVol. 16(1)
Centre National de la Recherche Scientifique (FR), Lawrence Berkeley National Laboratory (US), Sun Yat-sen University (CN), Hohai University (CN), Université de Versailles Saint-Quentin-en-Yvelines (FR), Chinese Academy of Sciences (CN), Princeton University (US), Chuzhou University (CN), Laboratoire des Sciences du Climat et de l'Environnement (FR), Nanjing Institute of Geography and Limnology (CN)
Yale University, National Natural Science Foundation of China, Chinese Academy of Sciences, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Aeolian processes and effects
3.34
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