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Seasonal pattern of diel variability of CO2 efflux from a large eutrophic lake
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-10-29 , DOI: 10.1016/j.jhydrol.2024.132259 Feng Zhao, Zhao Huang, Qirui Wang, Xuejun Wang, Yuanyi Wang, Qianggong Zhang, Wei He, Yindong Tong
Journal of Hydrology ( IF 5.9 ) Pub Date : 2024-10-29 , DOI: 10.1016/j.jhydrol.2024.132259 Feng Zhao, Zhao Huang, Qirui Wang, Xuejun Wang, Yuanyi Wang, Qianggong Zhang, Wei He, Yindong Tong
Lake is commonly acknowledged as a contributor to atmospheric CO2 . Current manual sampling for estimations of CO2 emissions from lakes predominantly relies on daytime CO2 efflux (F CO2 ) assessments, which tends to overlook the diel variability of F CO2 . This potentially introduces bias into CO2 emission estimates. The magnitude of diel F CO2 difference between seasons and the relative importance of underlying drivers in large eutrophic lakes remain inadequately explored. Here, we estimated F CO2 based on the water quality and meteorological data from Lake Taihu, a large eutrophic lake in China, with a temporal resolution of 4 h throughout the year 2021. The lake was a CO2 source with an efflux of 0.56 ± 0.66 mmol C/m2 /h. We observed a 14.07 % increase in nocturnal F CO2 compared to daytime levels annually. During the non-growing season, nocturnal F CO2 exceeds daytime levels by 12.72 %, rising to 39.84 % in the algae-growing season (April to September). Piecewise structural equation models highlight gas transfer velocity as a key driver of diel F CO2 changes, with seasonal algal growth intensifying diel CO2 partial pressure variability by enhancing gross primary production, thereby amplifying diel F CO2 fluctuations. We suggest that ongoing lake eutrophication, driven by global climate change and human activities, may introduce additional uncertainties in lake CO2 emission estimates.
更新日期:2024-10-29