TY - JOUR
T1 - Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake
T2 - Insights from a nutrient flux tracking modeling
AU - Zou, Rui
AU - Wu, Zhen
AU - Zhao, Lei
AU - Elser, James J.
AU - Yu, Yanhong
AU - Chen, Yihui
AU - Liu, Yong
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/1/15
Y1 - 2020/1/15
N2 - Despite the great effort of nutrient loading reduction, lake rehabilitation often suffers from the impacts of internal nutrient cycling. However, the mechanisms of internal nutrient cycling, specifically the feedback of algal blooms on nutrients cycling is still an open question. Management of Lake Dianchi, the most eutrophic lake in China, has involved a series of costly measures but without significant algal bloom decreasing. In view of the difficulty to evaluate the importance of internal cycling only by monitoring data, a three-dimensional model-based flux tracking approach was performed to identify the contributions of internal cycling. The results highlighted the role of nitrogen (N) and phosphorus (P) benthic fluxes with high seasonal fluctuations, contributing ∼29 %(N) and ∼18 %(P) of total input. The scenario analysis indicated that N loading reduction was more efficient for lake restoration. Furthermore, A positive feedback was detected between algae biomass and benthic P flux. Benthic P flux varied from adsorption to release when algae biomass increased. This phenomenon implied that a close link existed between N and P cycles with algae acting as a strong integrator. Due to the positive feedback loop between benthic P flux and algal blooms as well as the high efficiency of N loading reduction, controlling both N and P loadings will benefit lake restoration, especially eutrophic lakes with heavy sediment nutrient loadings.
AB - Despite the great effort of nutrient loading reduction, lake rehabilitation often suffers from the impacts of internal nutrient cycling. However, the mechanisms of internal nutrient cycling, specifically the feedback of algal blooms on nutrients cycling is still an open question. Management of Lake Dianchi, the most eutrophic lake in China, has involved a series of costly measures but without significant algal bloom decreasing. In view of the difficulty to evaluate the importance of internal cycling only by monitoring data, a three-dimensional model-based flux tracking approach was performed to identify the contributions of internal cycling. The results highlighted the role of nitrogen (N) and phosphorus (P) benthic fluxes with high seasonal fluctuations, contributing ∼29 %(N) and ∼18 %(P) of total input. The scenario analysis indicated that N loading reduction was more efficient for lake restoration. Furthermore, A positive feedback was detected between algae biomass and benthic P flux. Benthic P flux varied from adsorption to release when algae biomass increased. This phenomenon implied that a close link existed between N and P cycles with algae acting as a strong integrator. Due to the positive feedback loop between benthic P flux and algal blooms as well as the high efficiency of N loading reduction, controlling both N and P loadings will benefit lake restoration, especially eutrophic lakes with heavy sediment nutrient loadings.
KW - Algae feedback
KW - Internal nutrient cycling
KW - Lake Dianchi
KW - Phosphorus release
KW - Scenario analysis
KW - Water quality model
UR - http://www.scopus.com/inward/record.url?scp=85075322178&partnerID=8YFLogxK
U2 - 10.1016/j.ecolmodel.2019.108881
DO - 10.1016/j.ecolmodel.2019.108881
M3 - Article
AN - SCOPUS:85075322178
SN - 0304-3800
VL - 416
JO - Ecological Modelling
JF - Ecological Modelling
M1 - 108881
ER -