Huang Jiacong, Arhonditsis George B, Zhang Yinjun, Zhang Shuai, Ji Yulai, Paerl Hans W, Jeppesen Erik, Gao Junfeng
Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Poyang Lake Wetland Research Station, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Jiujiang, China.
Earths Future. 2024 Oct;12(10). doi: 10.1029/2024ef004860. Epub 2024 Oct 16.
Terrestrial hydrological and nutrient cycles are subjected to major disturbances by agricultural operations and urbanization that profoundly influence freshwater resources. Non-point source pollution is one of the primary causes for water quality deterioration, and thus an emerging imperative in limnology is establishing empirical models that connect watershed attributes and hydrological drivers with lake nutrient dynamics. Here, we compiled three nation-wide nutrient, meteorological, and watershed-landscape data sets, to develop Generalized Linear Models that predict lake phosphorus and nitrogen concentrations as a function of the surrounding watershed characteristics within various hydrological distances across 104 Chinese lakes and reservoirs. Our national-scale investigation revealed that lake nutrient concentrations can be satisfactorily predicted by proxies of natural drivers and anthropogenic activities, reflecting the properties of the surrounding watershed. Counter to previous studies, we found that China's lake nutrient concentrations strongly depend on watershed characteristics within a hydrological distance of less than 45 km rather than the entire watershed. Furthermore, extensive human activities in watersheds not only compromise our predictive capacity, but also increase the hydrological distance that is relevant to predict lake nutrients. This national-scale characterization can inform one of the most contentious issues in the context of China's lake management, that is, the determination of the extent of the nearshore area, where nutrient control should be prioritized. As far as we know, our study represents the first attempt to apply the concept of hydrological distance and establish statistical models that can delineate the critical spatial domain primarily responsible for the nutrient conditions along the watershed-lake continuum.
陆地水文和养分循环受到农业活动和城市化的重大干扰,这些活动深刻影响着淡水资源。非点源污染是水质恶化的主要原因之一,因此,湖沼学中一个新出现的紧迫任务是建立实证模型,将流域属性和水文驱动因素与湖泊养分动态联系起来。在这里,我们汇编了三个全国范围的养分、气象和流域景观数据集,以开发广义线性模型,该模型可预测中国104个湖泊和水库在不同水文距离内,作为周边流域特征函数的湖泊磷和氮浓度。我们的全国性调查表明,通过自然驱动因素和人为活动的代理指标,可以令人满意地预测湖泊养分浓度,这反映了周边流域的特性。与以往的研究相反,我们发现中国湖泊的养分浓度强烈依赖于水文距离小于45公里范围内的流域特征,而不是整个流域。此外,流域内广泛的人类活动不仅损害了我们的预测能力,还增加了与预测湖泊养分相关的水文距离。这种全国范围的特征描述可以为中国湖泊管理中最具争议的问题之一提供信息,即确定近岸区域的范围,在该区域应优先进行养分控制。据我们所知,我们的研究首次尝试应用水文距离的概念,并建立统计模型,以描绘主要负责流域-湖泊连续体养分状况的关键空间域。