Spatial versus temporal variability in surface oxygen and its metabolic consequences in temperate and subtropical shallow lakes
文献类型：期刊论文
| 作者 | Leng, Peifang1,2; Zhao, Feng5; Tong, Yindong4,5; Kong, Xiangzhen3 |
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2026-03-15 |
| 卷号 | 292页码:125391 |
| 关键词 | Oxygen Shallow lakes Spatial variation Metabolism Seasonal Diel |
| ISSN号 | 0043-1354 |
| DOI | 10.1016/j.watres.2026.125391 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Shallow lakes are biogeochemical hotspots that play a disproportionate role in global carbon cycles, yet surface oxygen (O2) dynamics-critical for estimating metabolic activity and CO2 fluxes-remain poorly characterized across spatial and temporal scales. While most studies emphasize temporal and vertical variations, horizontal heterogeneity across lake surfaces is often overlooked. To address this gap, we compiled high-frequency, multisite surface O2 monitoring data throughout 2021 in two large shallow lakes-the temperate Lake Hulun and the subtropical Lake Taihu. By partitioning horizontal spatial and temporal O2 variance, we found that single-site sampling misestimated lake-wide O2 concentrations by up to 29% and metabolic rates by up to 147%. Seasonal changes were the dominant driver of O2 dynamics, introducing even greater errors (34-35%), while daily variability contributed 13-20% uncertainty, highlighting the limitations of infrequent sampling. Environmental controls operated at distinct scales: spatial O2 heterogeneity was shaped by ecosystem respiration and algal gradients; seasonal variations were driven primarily by temperature and metabolic cycles; and daily (diel) fluctuations were governed by the interplay between production and respiration, moderated by carbonate buffering. Horizontal heterogeneity consistently distorted lake-wide metabolic estimates, underscoring the need to integrate spatial O2 data into ecosystem models to reduce errors in lake metabolism estimates. High-resolution spatiotemporal monitoring and targeted seasonal sampling are imperative to constrain uncertainties in lake metabolism and carbon flux estimates under climate change. |
| URL标识 | 查看原文 |
| WOS关键词 | ECOSYSTEM METABOLISM ; CARBON-DIOXIDE ; BIOGEOCHEMISTRY ; HETEROGENEITY ; EMISSIONS ; DYNAMICS |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001674969700001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221074]  |
| 专题 | 禹城站农业生态系统研究中心_外文论文 |
| 通讯作者 | Tong, Yindong; Kong, Xiangzhen |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Shandong Yucheng Agroecosystem Natl Observat & Res, Beijing 100101, Peoples R China; 3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake & Watershed Sci Water Secur, Nanjing 211135, Peoples R China 4.Tibet Univ, Sch Ecol & Environm, Lhasa 850000, Peoples R China; 5.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Leng, Peifang,Zhao, Feng,Tong, Yindong,et al. Spatial versus temporal variability in surface oxygen and its metabolic consequences in temperate and subtropical shallow lakes[J]. WATER RESEARCH,2026,292:125391. |
| APA | Leng, Peifang,Zhao, Feng,Tong, Yindong,&Kong, Xiangzhen.(2026).Spatial versus temporal variability in surface oxygen and its metabolic consequences in temperate and subtropical shallow lakes.WATER RESEARCH,292,125391. |
| MLA | Leng, Peifang,et al."Spatial versus temporal variability in surface oxygen and its metabolic consequences in temperate and subtropical shallow lakes".WATER RESEARCH 292(2026):125391. |
入库方式： OAI收割
来源：地理科学与资源研究所
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