State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
J Environ Sci (China). 2023 Apr;126:297-307. doi: 10.1016/j.jes.2022.05.031. Epub 2022 Jun 2.
Anthropogenic and natural disturbance to inland aquatic ecosystems displays a notable spatial difference, yet data to measure these differences are scarce. This study encompasses 217 lakes distributed over five lake regions of China and elucidates the environmental factors determining the spatial variability of the water quality and trophic status. A significant correlation between human modification index in surrounding terrestrial systems (HMT) and trophic status of lake ecosystems (TSI) was found, and the regression slope in each region was similar except in the Qinghai-Tibet Plateau region. It was further noted that the pattern of environmental factor network (EF network) differed among freshwater and saline lakes. The EF network was complex for freshwater lakes in less human-influenced areas, but intensive man-made influence disrupted most relationships except for those between total nitrogen, total phosphorus, chlorophyll-a, and water turbidity. As for regions including saline lakes, correlations among water salinity and organic forms of carbon and nitrogen were apparent. Our results suggest that HMT and EF network can be useful indicators of the ecological integrity of local lake ecosystems, and integrating spatial information on a large scale provides conservation planners the option for evaluating the potential risk on inland aquatic systems.
人为和自然干扰内陆水生态系统表现出显著的空间差异，但衡量这些差异的数据却很匮乏。本研究涵盖了中国五个湖区的 217 个湖泊，阐明了决定水质和营养状态空间变异性的环境因素。在周围陆地系统的人为改造指数（HMT）和湖泊生态系统的营养状态指数（TSI）之间发现了显著的相关性，并且除青藏高原地区外，各地区的回归斜率相似。还注意到，淡水和咸水湖泊之间的环境因子网络（EF 网络）模式存在差异。在人类影响较小的地区，淡水湖泊的 EF 网络较为复杂，但密集的人为影响破坏了大多数关系，除了总氮、总磷、叶绿素-a 和水浊度之间的关系。对于包括咸水湖在内的地区，水盐度和有机碳氮形式之间的相关性很明显。我们的研究结果表明，HMT 和 EF 网络可以作为当地湖泊生态系统生态完整性的有用指标，大规模整合空间信息为保护规划者提供了评估内陆水系统潜在风险的选择。
