Carbon Emissions From Chinese Inland Waters: Current Progress and Future Challenges

环境科学 气候变化 碳循环 生物地球化学 生态系统 全球变暖 温室气体 水生生态系统 环境保护 生态学 生物
作者
Qianqian Yang,Shuai Chen,Yuxin Li,Boyi Liu,Lishan Ran
出处
期刊:Journal Of Geophysical Research: Biogeosciences [Wiley]
卷期号:129 (2) 被引量:8
标识
DOI:10.1029/2023jg007675
摘要

Abstract Inland waters are significant emitters of greenhouse gases for the atmosphere and play an important role in the global carbon cycle. With a vast land area in East Asia spanning a broad range of climatic conditions, China has a large number of natural and human‐made water bodies. These inland water systems are of global importance because of their high carbon emission fluxes. Over the past decades, China has experienced unprecedented environmental changes driven by rapid economic development, which have profoundly modified its inland water carbon biogeochemistry and associated emissions. This review focuses on carbon dioxide (CO 2 ) and methane (CH 4 ) emission dynamics from China's inland waters in response to global change. Major drivers of CO 2 and CH 4 emissions, including aquatic metabolism, hydrological and climatic factors, and prevailing human impacts, are examined. To advance our understanding of carbon emissions from China's inland waters, we further identify several critical knowledge gaps, such as inadequate research in headwater streams and the climate‐sensitive Tibetan Plateau aquatic ecosystems. Furthermore, insufficient understanding of carbon emissions from inland waters undergoing extensive human interventions (e.g., damming, flow regulation, pollution, and farming practices in aquaculture ponds) is highlighted. We suggest that future efforts should be made to better capture the spatiotemporal heterogeneity in dissolved CO 2 and CH 4 concentrations and fluxes across China as well as their long‐term trends. To overcome uncertainties in carbon sources and current flux estimates, future research to mechanistically understand carbon transport and transformation in Chinese inland waters and their underlying processes is particularly needed.

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