Year: 2026
Type: article
Abstract: CO 2 emissions from lakes play a crucial role in the global carbon cycle, yet their long-term dynamics remain poorly constrained. Here, leveraging a compiled lake CO 2 flux dataset, machine learning model, and lake area data, we demonstrated a nationwide increase in CO 2 emissions across China’s lakes, from 11.25 teragrams of C per year in 2000 to 13.94 teragrams of C per year in 2021 with an abrupt shift after 2010. This transition coincided with rapid lake expansion, gaining at a pace of 71 to 462 square kilometers per year across regions. Large lakes (>50 square kilometers) dominated national emissions, accounting for ~62% of the total, despite large regional variability (33 to 79%). Lakes exhibited divergent responses to climate extremes, with CO 2 flux variations of 4 to 48% across regions. The CO 2 emissions in China’s lakes offset ~12% of national wetland carbon sinks, revealing the critical role in terrestrial carbon budget. Our findings highlighted the urgent need for sustained and high-resolution monitoring to refine lake carbon budget and support climate mitigation policy formulation.
Source: Science Advances
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $4,500
Awards: G2344201044, G5304977164, G5812049519
OpenAlex ID: W7155176694
