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大气水汽压亏缺对陆地碳汇年际变化的全球影响。

Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks.

作者信息

He Bin, Chen Chen, Lin Shangrong, Yuan Wenping, Chen Hans W, Chen Deliang, Zhang Yafeng, Guo Lanlan, Zhao Xiang, Liu Xuebang, Piao Shilong, Zhong Ziqian, Wang Rui, Tang Rui

机构信息

State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.

Department of Application Research, Twenty First Century Aerospace Technology Co., Ltd., Beijing 100723, China.

出版信息

Natl Sci Rev. 2021 Aug 20;9(4):nwab150. doi: 10.1093/nsr/nwab150. eCollection 2022 Apr.

Abstract

Interannual variability of the terrestrial ecosystem carbon sink is substantially regulated by various environmental variables and highly dominates the interannual variation of atmospheric carbon dioxide (CO) concentrations. Thus, it is necessary to determine dominating factors affecting the interannual variability of the carbon sink to improve our capability of predicting future terrestrial carbon sinks. Using global datasets derived from machine-learning methods and process-based ecosystem models, this study reveals that the interannual variability of the atmospheric vapor pressure deficit (VPD) was significantly negatively correlated with net ecosystem production (NEP) and substantially impacted the interannual variability of the atmospheric CO growth rate (CGR). Further analyses found widespread constraints of VPD interannual variability on terrestrial gross primary production (GPP), causing VPD to impact NEP and CGR. Partial correlation analysis confirms the persistent and widespread impacts of VPD on terrestrial carbon sinks compared to other environmental variables. Current Earth system models underestimate the interannual variability in VPD and its impacts on GPP and NEP. Our results highlight the importance of VPD for terrestrial carbon sinks in assessing ecosystems' responses to future climate conditions.

摘要

陆地生态系统碳汇的年际变异性受到各种环境变量的显著调节,并在很大程度上主导了大气二氧化碳(CO₂)浓度的年际变化。因此,有必要确定影响碳汇年际变异性的主导因素,以提高我们预测未来陆地碳汇的能力。本研究利用机器学习方法和基于过程的生态系统模型得出的全球数据集,揭示了大气水汽压亏缺(VPD)的年际变异性与净生态系统生产力(NEP)显著负相关,并对大气CO₂增长率(CGR)的年际变异性产生了重大影响。进一步分析发现,VPD年际变异性对陆地总初级生产力(GPP)存在广泛限制,导致VPD影响NEP和CGR。偏相关分析证实,与其他环境变量相比,VPD对陆地碳汇具有持续且广泛的影响。当前的地球系统模型低估了VPD的年际变异性及其对GPP和NEP的影响。我们的研究结果凸显了VPD在评估生态系统对未来气候条件的响应中对陆地碳汇的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0416/8982191/fd4e1bc792a9/nwab150fig1.jpg

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