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Carbon cycle responses to climate change across China's terrestrial ecosystem: Sensitivity and driving process

环境科学 碳循环 陆地生态系统 生态系统 气候变化 灵敏度(控制系统) 过程(计算) 碳纤维 环境资源管理 生态学 计算机科学 工程类 生物 操作系统 复合数 电子工程 算法
作者
Kewei Jiao,Zhihua Liu,Wenjuan Wang,Kailiang Yu,Matthew J. McGrath,Wenru Xu
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:915: 170053-170053 被引量:20
标识
DOI:10.1016/j.scitotenv.2024.170053
摘要

Investigations into the carbon cycle and how it responds to climate change at the national scale are important for a comprehensive understanding of terrestrial carbon cycle and global change issues. Contributions of carbon fluxes to the terrestrial sink and the effects on climate change are still not fully understood. In this study, we aimed to explore the relationship between ecosystem production (GPP/SIF/NDVI) and net ecosystem carbon exchange (NEE) and to investigate the sensitivity of carbon fluxes to climate change at different spatio-temporal scales. Furthermore, we sought to delve into the carbon cycle processes driven by climate stress in China since the beginning of the 21st century. To achieve these objectives, we employed correlation and sensitivity analysis techniques, utilizing a wide range of data sources including ground-based observations, remote sensing observations, atmospheric inversions, machine learning, and model simulations. Our findings indicate that NEE in most arid regions of China is primarily driven by ecosystem production. Climate variations have a greater influence on ecosystem production than respiration. Warming has negatively impacted ecosystem production in Northeast China, as well as in subtropical and tropical regions. Conversely, increased precipitation has strengthened the terrestrial carbon sink, particularly in the northern cool and dry areas. We also found that ecosystem respiration exhibits heightened sensitivity to warming in southern China. Moreover, our analysis revealed that the control of terrestrial carbon cycle by ecosystem production gradually weakens from cold/arid areas to warm/humid areas. We identified distinct temperature thresholds (ranging from 10.5 to 13.7 °C) and precipitation thresholds (approximately 1400 mm yr
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