Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China

As an important carbon sink to mitigate global climate change, the role of arid and semiarid grassland ecosystem has been widely reported. Precipitation and temperature changes have a dramatic impact on the carbon balance. However, the study of wind speed has long been neglected. Intuitively, wind s...

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Main Authors: Tong Zhang, Xia Xu, Honglei Jiang, Haoyu Xia, Yiqin Huang, Shitong Guo, Xiaoqing Xu, Jiayu Xu
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ace06f
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author Tong Zhang
Xia Xu
Honglei Jiang
Haoyu Xia
Yiqin Huang
Shitong Guo
Xiaoqing Xu
Jiayu Xu
author_facet Tong Zhang
Xia Xu
Honglei Jiang
Haoyu Xia
Yiqin Huang
Shitong Guo
Xiaoqing Xu
Jiayu Xu
author_sort Tong Zhang
collection DOAJ
description As an important carbon sink to mitigate global climate change, the role of arid and semiarid grassland ecosystem has been widely reported. Precipitation and temperature changes have a dramatic impact on the carbon balance. However, the study of wind speed has long been neglected. Intuitively, wind speed regulates the carbon balance of grassland ecosystems by affecting the opening of vegetation stomata as well as near-surface moisture and temperature. It is sufficient that there is a need to conduct field observations to explore the effect of wind speed on the carbon balance in arid and semiarid grassland. Therefore, we conducted observations of carbon fluxes and corresponding climate factors using an eddy covariance system in a typical steppe in Inner Mongolia from 2017 to 2021. The research contents include that, (i) we depicted the changing patterns of carbon fluxes and climate factors at multiple time scales; (ii) we simulated the net ecosystem carbon balance (NECB) based rectangular hyperbolic model and compared it with the observed net ecosystem exchange values; (iii) we quantified the mediated effect of wind speed on NECB by adopting structural equation modeling; (iv) we used the constrained line method to explore what wind speed intervals might have the greatest carbon sequestration capacity of vegetation. The results were as follows, (i) the values of NECB for the five years of the study period were 101.95, −48.21, −52.57, −67.78, and −30.00 g C m ^−2 yr ^−1 , respectively; (ii) if we exclude the inorganic carbon component of the ecosystem, we would underestimate the annual carbon balance by 41.25, 2.36, 20.59, 22.06 and 43.94 g C m ^−2 yr ^−1 ; (iii) the daytime wind speed during the growing season mainly influenced the NECB of the ecosystem by regulating soil temperature and vapor pressure deficit, with a contribution rate as high as 0.41; (iv) the grassland ecosystem had the most robust carbon sequestration capacity of 4.75 μ mol m ^−2 s ^−1 when the wind speed was 2–3 m s ^−1 . This study demonstrated the significant implications of wind speed variations on grassland ecosystems.
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spelling doaj.art-ccc9acbd242549fa8cb87f09141629642023-08-09T15:18:44ZengIOP PublishingEnvironmental Research Letters1748-93262023-01-0118707500710.1088/1748-9326/ace06fWind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern ChinaTong Zhang0https://orcid.org/0000-0003-2033-5011Xia Xu1Honglei Jiang2https://orcid.org/0000-0002-2270-4952Haoyu Xia3Yiqin Huang4Shitong Guo5Xiaoqing Xu6Jiayu Xu7State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of China; Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral reef research center of China, School of Marine Sciences, Guangxi University , Nanning 53004, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; College of Natural Resources Science and Technology, Beijing Normal University , Beijing 100875, People’s Republic of China; Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaAs an important carbon sink to mitigate global climate change, the role of arid and semiarid grassland ecosystem has been widely reported. Precipitation and temperature changes have a dramatic impact on the carbon balance. However, the study of wind speed has long been neglected. Intuitively, wind speed regulates the carbon balance of grassland ecosystems by affecting the opening of vegetation stomata as well as near-surface moisture and temperature. It is sufficient that there is a need to conduct field observations to explore the effect of wind speed on the carbon balance in arid and semiarid grassland. Therefore, we conducted observations of carbon fluxes and corresponding climate factors using an eddy covariance system in a typical steppe in Inner Mongolia from 2017 to 2021. The research contents include that, (i) we depicted the changing patterns of carbon fluxes and climate factors at multiple time scales; (ii) we simulated the net ecosystem carbon balance (NECB) based rectangular hyperbolic model and compared it with the observed net ecosystem exchange values; (iii) we quantified the mediated effect of wind speed on NECB by adopting structural equation modeling; (iv) we used the constrained line method to explore what wind speed intervals might have the greatest carbon sequestration capacity of vegetation. The results were as follows, (i) the values of NECB for the five years of the study period were 101.95, −48.21, −52.57, −67.78, and −30.00 g C m ^−2 yr ^−1 , respectively; (ii) if we exclude the inorganic carbon component of the ecosystem, we would underestimate the annual carbon balance by 41.25, 2.36, 20.59, 22.06 and 43.94 g C m ^−2 yr ^−1 ; (iii) the daytime wind speed during the growing season mainly influenced the NECB of the ecosystem by regulating soil temperature and vapor pressure deficit, with a contribution rate as high as 0.41; (iv) the grassland ecosystem had the most robust carbon sequestration capacity of 4.75 μ mol m ^−2 s ^−1 when the wind speed was 2–3 m s ^−1 . This study demonstrated the significant implications of wind speed variations on grassland ecosystems.https://doi.org/10.1088/1748-9326/ace06farid and semiarid grasslandswind speednet ecosystem carbon balancecarbon cycleeddy covariance measurement
spellingShingle Tong Zhang
Xia Xu
Honglei Jiang
Haoyu Xia
Yiqin Huang
Shitong Guo
Xiaoqing Xu
Jiayu Xu
Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
Environmental Research Letters
arid and semiarid grasslands
wind speed
net ecosystem carbon balance
carbon cycle
eddy covariance measurement
title Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
title_full Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
title_fullStr Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
title_full_unstemmed Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
title_short Wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of Northern China
title_sort wind mediates the responses of net ecosystem carbon balance to climatic change in a temperate semiarid steppe of northern china
topic arid and semiarid grasslands
wind speed
net ecosystem carbon balance
carbon cycle
eddy covariance measurement
url https://doi.org/10.1088/1748-9326/ace06f
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