Impoundment-induced stoichiometric imbalance exacerbated phosphorus limitation in a deep subtropical reservoir: implications for eutrophication management
Hai Xu, Wei Zou, Guangwei Zhu, Yu Qiu, Huiyun Li, Mengyuan Zhu, Hans W. Paerl, Zhixu Wu, Boqiang Qin, Yunlin Zhang
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引用次数: 0
Abstract
Impoundment reservoirs play a vital role as nutrient sinks, capable of retaining and exporting (N) and phosphorus (P) at different rates. The imbalance in P and N stoichiometry relative to phytoplankton demand often determines the limiting nutrient of algal growth for reservoirs. This critical factor has a substantial impact on the management of eutrophication, encompassing the formulation of nutrient control strategies and the setting of regulatory thresholds. Nonetheless, research remains relatively limited on algal limiting factors and nutrient stoichiometry interactions in subtropical impoundment reservoirs. This study fills a critical gap in the current research by providing a comprehensive assessment of the influences of N and P on phytoplankton biomass in Lake Qiandaohu, China. Utilizing field monitoring, nutrient addition experiments, and novel constraint line regression model, we provide new insights into the nutrient dynamics within the lake. Both bioassays experiment and statistics indicated predominant potentially P-limitation in Lake Qiandaohu owing to dam-induced deep-water conditions, characterized by a nearly 1:1 linear relationship between chlorophyll a (Chla) and total phosphorus concentrations. This underscores the pivotal role of P management in curbing algal blooms. Utilizing the constraint line equation that relates total P (TP) to Chla, we have proposed TP thresholds designed to keep Chla within the specified target ranges, specifically below 10, 12, 20, 24, 40, and 60 μg/L. Furthermore, leveraging Vollenweider's models with these TP concentration thresholds, the study has established TP loading targets that accommodate a range of hydrological conditions, from normal to wet and dry years. Furthermore, both nutrient addition experiment and constraint line regression model highlights potentially N and P co-limitation in specific regions, particularly the riverine zone, where the ratios of nitrogen to phosphorus are influenced by unsettled particulate matter resulting in relatively lower ratios. To address this, the study introduces TN thresholds and suggests localized control measures, including ecological floating macrophytes beds, as effective alternatives. Considering the uniform nutrient management policy currently applied across Chinese lakes and reservoirs, which may lead to under- or over-protection for individual water bodies, our research provides a cost-effective eutrophication management framework tailored for the subtropical Eastern Plains ecoregions.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.