Development of methods for establishing nutrient criteria in lakes and reservoirs: A review

J Environ Sci (China). 2018 May:67:54-66. doi: 10.1016/j.jes.2017.07.013. Epub 2017 Jul 25.

Abstract

Nutrient criteria provide a scientific foundation for the comprehensive evaluation, prevention, control and management of water eutrophication. In this review, the literature was examined to systematically evaluate the benefits, drawbacks, and applications of statistical analysis, paleolimnological reconstruction, stressor-response model, and model inference approaches for nutrient criteria determination. The developments and challenges in the determination of nutrient criteria in lakes and reservoirs are presented. Reference lakes can reflect the original states of lakes, but reference sites are often unavailable. Using the paleolimnological reconstruction method, it is often difficult to reconstruct the historical nutrient conditions of shallow lakes in which the sediments are easily disturbed. The model inference approach requires sufficient data to identify the appropriate equations and characterize a waterbody or group of waterbodies, thereby increasing the difficulty of establishing nutrient criteria. The stressor-response model is a potential development direction for nutrient criteria determination, and the mechanisms of stressor-response models should be studied further. Based on studies of the relationships among water ecological criteria, eutrophication, nutrient criteria and plankton, methods for determining nutrient criteria should be closely integrated with water management requirements.

Keywords: Model inference approach; Nutrient criteria; Paleolimnological reconstruction approach; Statistical analysis approach; Stressor-response model.

Publication types

  • Review

MeSH terms

  • Ecosystem
  • Environmental Monitoring / methods*
  • Environmental Monitoring / standards
  • Eutrophication
  • Lakes / chemistry*
  • Nitrogen / analysis*
  • Phosphorus / analysis*
  • Water Pollution / statistics & numerical data

Substances

  • Phosphorus
  • Nitrogen