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Re-estimating China's lake CO flux considering spatiotemporal variability. | LitMetric

The spatiotemporal variability of lake partial carbon dioxide pressure (CO) introduces uncertainty into CO flux estimates at the lake water-air interface. Knowing the variation pattern of CO is important for obtaining accurate global estimation. Here we examine seasonal and trophic variations in lake CO based on 13 field campaigns conducted in Chinese lakes from 2017 to 2021. We found significant seasonal fluctuations in CO, with decreasing values as trophic states intensify within the same region. Saline lakes exhibit lower CO levels than freshwater lakes. These CO dynamics result in variable areal CO emissions, with lakes exhibiting different trophic states (oligotrophication > mesotrophication > eutrophication) and saline lakes differing from freshwater lakes (-23.1 ± 17.4 vs. 19.3 ± 18.3 mmol m d). These spatiotemporal CO variations complicate total CO emission estimations. Using area proportions of lakes with varying trophic states and salinity in China, we estimate China's lake CO flux at 8.07 Tg C yr. In future studies, the importance of accounting for lake salinity, seasonal dynamics, and trophic states must be noticed to enhance the accuracy of large-scale carbon emission estimates from lake ecosystems in the context of climate change.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10724546PMC
http://dx.doi.org/10.1016/j.ese.2023.100337DOI Listing

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