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半干旱草原生态系统碳通量对降水变化的非线性响应

Nonlinear responses of ecosystem carbon fluxes to precipitation change in a semiarid grassland.

作者信息

Chai Hua, Ma Jianying, Zhang Jinwei, Li Junqin, Meng Bo, Wang Chengliang, Pan Duofeng, Li Jie, Sun Wei, Zhou Xuhui

机构信息

Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, School of Ecology, Northeast Forestry University, Harbin, China.

Institute of Grassland Science, Key Laboratory of Vegetation Ecology of the Ministry of Education, Jilin Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun, China.

出版信息

Front Plant Sci. 2025 Feb 6;16:1519879. doi: 10.3389/fpls.2025.1519879. eCollection 2025.

Abstract

Carbon (C) fluxes in semiarid grasslands subject to precipitation variability play a critical role in the terrestrial C cycle. However, how ecosystem C fluxes respond to variability in precipitation (both decreases and increases precipitation along a gradient) remains unclear. In this study, we conducted a three-year field experiment in a semiarid grassland, with six precipitation treatments (precipitation decreased by 70%, 50%, and 30% [P-70%, P-50%, and P-30%], natural precipitation [P+0%], and precipitation increased by 30% and 50% [P+30% and P+50%]) to examine how variations in precipitation influence ecosystem C fluxes, specifically focusing on gross ecosystem productivity (GEP), ecosystem respiration (ER), and net ecosystem CO exchange (NEE). We found that both decreased and increased precipitation significantly altered the GEP (from -26% to 14%), but only decreased precipitation significantly reduced the ER and NEE (from 1% to 31%), relative to their values during natural precipitation. This suggests that ecosystem C fluxes are more sensitive to decreased precipitation, and respond nonlinearly to the precipitation gradient. Furthermore, structural equation modeling indicated that the soil water content was the primary controlling factor driving changes in ecosystem C fluxes. Our research underscores the nonlinear response of ecosystem C fluxes to changes in precipitation within semiarid ecosystems, particularly their sensitivity to extreme drought. Considering this nonlinear response, it is crucial to improve dynamic models of the C cycle and predict ecosystem responses to precipitation variability.

摘要

降水多变的半干旱草原中的碳(C)通量在陆地碳循环中起着关键作用。然而,生态系统碳通量如何响应降水变化(沿梯度降水减少和增加)仍不清楚。在本研究中,我们在半干旱草原进行了为期三年的田间试验,设置了六种降水处理(降水减少70%、50%和30%[P - 70%、P - 50%和P - 30%]、自然降水[P + 0%]以及降水增加30%和50%[P + 30%和P + 50%]),以研究降水变化如何影响生态系统碳通量,特别关注生态系统总生产力(GEP)、生态系统呼吸(ER)和生态系统净CO₂交换(NEE)。我们发现,相对于自然降水期间的值,降水减少和增加均显著改变了GEP(从 - 26%至14%),但只有降水减少显著降低了ER和NEE(从1%至31%)。这表明生态系统碳通量对降水减少更敏感,并且对降水梯度呈非线性响应。此外,结构方程模型表明土壤含水量是驱动生态系统碳通量变化的主要控制因素。我们的研究强调了半干旱生态系统中生态系统碳通量对降水变化的非线性响应,特别是它们对极端干旱的敏感性。考虑到这种非线性响应,改进碳循环动态模型并预测生态系统对降水变化的响应至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df77/11840572/93e8e8229b4e/fpls-16-1519879-g001.jpg

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