Using algal biomass to evaluate numeric nutrient criteria in an estuary: A case study of Daliaohe Estuary in China. (November 2016)

• Record Type: Journal Article
• Authors: Yang, Fuxia; Su, Rongguo; Jian, Huimin; Yao, Qingzhen
• Is Part Of: Ecological indicators. Volume 70(2016)
• Page Start: 373
• Page End: 381
• Publication Date: 2016-11
• Subjects: Numeric nutrient criteria -- Algal biomass -- Stressor-response models -- S -- Daliaohe Estuary; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2016.06.039
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: An indoor simulation method of using algal biomass to evaluate nutrient criteria is developed. Logistic model and Boltzmann equation are used in the stressor-response model. Numeric nutrient criteria of the Daliaohe Estuary under different salinities are calculated. S changes have strongly influence on DIN and TN eco-criteria. S changes have no obvious effect on P O 4 3 − and TP eco-criteria. Abstract: This paper presents an initial inquiry into model-based numeric nitrogen and phosphorus criteria for estuaries based on stressor-response models between nutrients and algal biomass (Chl- a concentration) and further studies the effect of salinity ( S ) on nutrient criteria. Field data collection and associated indoor modeling were conducted in Daliaohe Estuary. Dissolved inorganic nitrogen (DIN), total nitrogen (TN), phosphate ( P O 4 3 − ) and total phosphorus (TP) eco-criteria of Daliaohe Estuary in China were calculated at salinities of 15, 25 and 31. The results suggested that the variation in S had significant influence on the DIN and TN eco-criteria and no obvious effect on the P O 4 3 − and TP eco-criteria. The values of DIN and TN eco-criteria increased with either higher or lower salinity concentrations, and were strongly linked to the effects of salinity on algal nutrient absorption and utilization, growth, metabolism, and osmotic pressure.