Contrasting impacts of grassland restoration methods on soil greenhouse gases emissions under warming conditions in Northern Tibet
文献类型: 外文期刊
作者: Shi, Hao 1 ; Xia, Fei 2 ; Ran, Lin-ling 1 ; Wu, Hao-yang 1 ; Wang, Jun-qiang 1 ; Xue, Yun-yin 5 ; Wei, Wei 2 ; Zheng, Shai-kun 4 ; Yan, Shuang 1 ; Yang, Cai-hong 4 ; Zhang, Yu 1 ; Qiu, Xiao-qin 1 ;
作者机构: 1.China West Normal Univ, Minist Educ, Key Lab Southwest China Wildlife Resource Conserva, Nanchong 637009, Peoples R China
2.State Key Lab Highland Barley & Yak Germplasm Reso, Lhasa 850000, Peoples R China
3.Tibet Acad Agr & Anim Husb Sci, Inst Pratacultural Sci, Lhasa 850000, Peoples R China
4.Gansu Agr Univ, Coll Forestry, Lanzhou 730070, Peoples R China
5.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China
关键词: Qinghai-Tibet Plateau; Alpine grassland restoration; Open top chamber; Greenhouse gases; Global warming potential
期刊名称:CATENA ( 影响因子:5.7; 五年影响因子:6.3 )
ISSN: 0341-8162
年卷期: 2025 年 258 卷
页码:
收录情况: SCI
摘要: In the context of climate warming, grassland restoration on Qinghai-Tibet Plateau (QTP) may have a significant impact on greenhouse gases (GHGs) emissions. However, the response of GHGs emissions, global warming potential (GWP) and temperature sensitivity coefficient (Q10) from different restored grasslands on QTP to warming remains unclear. We adopted three restoration methods: natural-restoration (NR), no-till-replanting (S), and tillreplanting (TS), using natural-degradation grassland (ND) as a control and an open top chamber (OTC) as a simulated warming (Ws) device to clarify the response mechanism of GHGs emissions to warming, and then we evaluated the GWP and Q10 of restored grasslands on the QTP. Under Wns conditions, S resulted in the lowest GHGs emissions (by 66.22 %) and the lowest GWP related to ND. Under Ws conditions, TS suppressed the emissions of CO2 (by 23.43 %) and CH4 (by 46.34 %), maintaining the lowest N2O increment and significantly reducing GWP compared to Wns (by 23.73 %). Under the Wns and Ws conditions, the contribution rate of CO2 to GWP exceeded 93 % in all treatments, and Ws led to a decrease in the Q10 of GHGs. Structural equation model analysis showed that Ws and grassland restoration directly affected ROC, DOC, MBC and above-ground biomass (AGB), which in turn affected GWP. In summary, S effectively reduced GWP under Wns conditions, and GWP of TS was effectively alleviated under Ws conditions. Labile organic carbon and AGB are the preferred triggering factor for GWP under the conditions of Ws and grassland restoration. Our study offers a theoretical foundation and technical framework for advancing our comprehension of degraded grassland restoration and its implications for greenhouse gas dynamics on the QTP under climate warming scenarios.
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