Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake: Insights from a nutrient flux tracking modeling

Rui Zou, Zhen Wu, Lei Zhao, James J. Elser, Yanhong Yu, Yihui Chen, Yong Liu

    Research output: Contribution to journalArticle

    Abstract

    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.

    Original languageEnglish (US)
    Article number108881
    JournalEcological Modelling
    Volume416
    DOIs
    StatePublished - Jan 15 2020

    Fingerprint

    algal bloom
    phosphorus
    nutrient
    lake
    nutrient cycling
    sediment
    modeling
    alga
    benthic flux
    biomass
    adsorption
    nitrogen
    restoration

    Keywords

    • Algae feedback
    • Internal nutrient cycling
    • Lake Dianchi
    • Phosphorus release
    • Scenario analysis
    • Water quality model

    ASJC Scopus subject areas

    • Ecological Modeling

    Cite this

    Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake : Insights from a nutrient flux tracking modeling. / Zou, Rui; Wu, Zhen; Zhao, Lei; Elser, James J.; Yu, Yanhong; Chen, Yihui; Liu, Yong.

    In: Ecological Modelling, Vol. 416, 108881, 15.01.2020.

    Research output: Contribution to journalArticle

    @article{2b308e3ad5d24126aa5983b2283a5b43,
    title = "Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake: Insights from a nutrient flux tracking modeling",
    abstract = "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.",
    keywords = "Algae feedback, Internal nutrient cycling, Lake Dianchi, Phosphorus release, Scenario analysis, Water quality model",
    author = "Rui Zou and Zhen Wu and Lei Zhao and Elser, {James J.} and Yanhong Yu and Yihui Chen and Yong Liu",
    year = "2020",
    month = "1",
    day = "15",
    doi = "10.1016/j.ecolmodel.2019.108881",
    language = "English (US)",
    volume = "416",
    journal = "Ecological Modelling",
    issn = "0304-3800",
    publisher = "Elsevier",

    }

    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

    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

    UR - http://www.scopus.com/inward/citedby.url?scp=85075322178&partnerID=8YFLogxK

    U2 - 10.1016/j.ecolmodel.2019.108881

    DO - 10.1016/j.ecolmodel.2019.108881

    M3 - Article

    AN - SCOPUS:85075322178

    VL - 416

    JO - Ecological Modelling

    JF - Ecological Modelling

    SN - 0304-3800

    M1 - 108881

    ER -