数字农科院2.0

The grassland carbon cycle: Mechanisms, responses to global changes, and potential contribution to carbon neutrality

文献类型: 外文期刊

作者: Liu, Lingli;Sayer, Emma J.;Deng, Meifeng;Li, Ping;Liu, Weixing;Wang, Xin;Yang, Sen;Huang, Junsheng;Luo, Jie;Su, Yanjun;Grunzweig, Jose M.;Jiang, Lin;Hu, Shuijin;Piao, Shilong

作者机构:

关键词: Climate changes;Land -use change;Soil;Biotic and abiotic interactions;Grassland degradation;Grassland restoration;Carbon accounting;Carbon storage and sequestration mechanisms

期刊名称: FUNDAMENTAL RESEARCH

ISSN: 2096-9457

年卷期: 2023 年 3 卷 2 期

页码:

收录情况: CSCD(2023-2024年度)

摘要: Grassland is one of the largest terrestrial biomes, providing critical ecosystem services such as food production, biodiversity conservation, and climate change mitigation. Global climate change and land-use intensification have been causing grassland degradation and desertification worldwide. As one of the primary medium for ecosys-tem energy flow and biogeochemical cycling, grassland carbon (C) cycling is the most fundamental process for maintaining ecosystem services. In this review, we first summarize recent advances in our understanding of the mechanisms underpinning spatial and temporal patterns of the grassland C cycle, discuss the importance of grass-lands in regulating inter-and intra-annual variations in global C fluxes, and explore the previously unappreciated complexity in abiotic processes controlling the grassland C balance, including soil inorganic C accumulation, pho-tochemical and thermal degradation, and wind erosion. We also discuss how climate and land-use changes could alter the grassland C balance by modifying the water budget, nutrient cycling and additional plant and soil pro-cesses. Further, we examine why and how increasing aridity and improper land use may induce significant losses in grassland C stocks. Finally, we identify several priorities for future grassland C research, including improving understanding of abiotic processes in the grassland C cycle, strengthening monitoring of grassland C dynamics by integrating ground inventory, flux monitoring, and modern remote sensing techniques, and selecting appropriate plant species combinations with suitable traits and strong resistance to climate fluctuations, which would help design sustainable grassland restoration strategies in a changing climate.

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