文献类型：期刊文献

英文题名：Long-term observations uncover sustained carbon dioxide emissions from lakes following aquaculture retreat

作者：Zhao, Jiayu[1,2,3];Zhang, Mi[4];Xiao, Wei[3,4];Ge, Pei[4];Luo, Juhua[5];Jiang, Minliang[5];Hu, Cheng[6];Li, Delin[1,2];Zhang, Tianyu[1];Duan, Hongtao[5];Xiao, Qitao[5];Lee, Xuhui[7]

机构：[1]Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, South China Sea Inst Marine Meteorol SIMM, Zhanjiang 524088, Peoples R China;[3]Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing 210044, Peoples R China;[4]Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Nanjing 210044, Peoples R China;[5]Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake & Watershed Sci Water Secur, Nanjing 211135, Peoples R China;[6]Nanjing Forestry Univ, Joint Ctr Sustainable Forestry Southern China, Coll Ecol & Environm, Nanjing 210037, Peoples R China;[7]Yale Univ, Sch Environm, New Haven, CT 06511 USA

年份：2026

卷号：294

外文期刊名：WATER RESEARCH

收录：SCI-EXPANDED(收录号：WOS:001693326600001)、、EI(收录号：20260820096372)、WOS

基金：This research was supported jointly by the National Natural Science Foundation of China (42425104, 42401111, 42271114, 42205025 and 42271377) , the "333 Project" of Jiangsu Province (BRA2022023) , the National Foreign Experts Program (No. S20240134) , Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA202302, ECSS-CMA202404) , the Youth Innovation Promotion Association of CAS (2023329) , and the Program for scientific research startup funds of Guangdong Ocean University (060302032302) .

语种：英文

外文关键词：CO 2 dynamics; Lake aquaculture; Long-term measurements; Aquaculture retreat; Random forest model

外文摘要：Aquaculture has emerged as one of the dominant anthropogenic drivers altering the carbon dioxide (CO2) balance of lake ecosystems. Although aquaculture retreat (pen removal) has been widely implemented in lakes, its long-term effects on CO2 variability remain poorly constrained due to insufficient field measurements, thereby hindering our understanding of anthropogenic carbon cycling. To address this knowledge gap, we investigated the partial pressure of carbon dioxide (pCO2) and CO2 flux in two typical aquaculture-affected lakes in eastern China (Lake Yangcheng, LYC; Dongtaihu Bay of Lake Taihu, DTH) based on long-term (2000-2015) field measurements. Results revealed that both systems were net CO2 sources, yet LYC with high nutrient loadings exhibited significantly higher emissions (108 f 56 g C m-2 yr-1; pCO2: 1180 f 390 mu atm) than DTH (37 f 24 g C m-2 yr-1; pCO2: 716 f 185 mu atm). Crucially, CO2 emissions in LYC exhibited a counter-intuitive "V-shaped" trajectory in response to management interventions: declining by 54 % during the active removal phase, but rebounding by 56 % in the post-restoration phase. This unexpected rebound was driven not merely by nutrient legacy, but fundamentally by the loss of submerged vegetation, thereby severely compromising the ecosystem's CO2 uptake capacity. In contrast, DTH maintained stable emissions under a moderate retreat strategy mostly due to the stabilizing effect of macrophyte retention. The Random Forest (RF) model further showed that aquaculture area functions as a non-linear regulator of emission intensity, challenging linear scaling assumptions. Our findings demonstrate that successful carbon mitigation in aquaculture systems relies not merely on nutrient load reduction but fundamentally on the structural recovery and functional integrity of the autotrophic carbon sink.