Mingshun Jiang , Ashely Brereton , Jordon Beckler , Timothy Moore , Rachel A. Brewton , Chuanmin Hu , Brian E. Lapointe , Malcolm N. McFarland
{"title":"Modeling water quality and cyanobacteria blooms in Lake Okeechobee: I. Model descriptions, seasonal cycles, and spatial patterns","authors":"Mingshun Jiang , Ashely Brereton , Jordon Beckler , Timothy Moore , Rachel A. Brewton , Chuanmin Hu , Brian E. Lapointe , Malcolm N. McFarland","doi":"10.1016/j.ecolmodel.2025.111018","DOIUrl":null,"url":null,"abstract":"<div><div>Lake Okeechobee is a shallow subtropical lake that is critically important for south Florida agriculture and the Everglades. In summer, the lake typically experiences strong blooms of cyanobacteria including toxin producing <em>Microcystis aeruginosa</em>. To understand the dynamics of these blooms and water quality in the lake, a coupled hydrodynamic-biogeochemical model based on the Regional Ocean Modeling System (ROMS) has been developed. The biogeochemical model was constructed to simulate major biogeochemical processes including nitrogen (N) and phosphorus (P) cycles, phytoplankton growth, zooplankton grazing, and microbial loop, among others. A three-year (2018–2020) simulation was carried out and calibrated with available <em>in situ</em> and remote sensing data for key physical and biogeochemical parameters. Although model and data generally agree in spatial patterns and seasonal cycles, significant discrepancies exist including exact timings of the blooms and dissolved inorganic and organic P concentrations. Model results indicate that Lake Okeechobee typically exhibits a two-layer circulation in summer with surface and bottom currents generally moving in the opposite directions. This feature couples with diurnal cycles of atmospheric forcing (winds and heating/cooling) and diel vertical migration (DVM) of <em>Microcystis</em> to strongly affect not only the spatial patterns of cyanobacteria blooms but also the bloom intensity in summertime. Horizontally, both model results and remote sensing images indicate that cyanobacteria distributions are concentrated in the central and northern lake during summer and in western lake in spring and fall, in responses to the prevailing winds. Consistent with previous laboratory and observational studies, model results also suggest that, among the two main nutrients N and P, nitrogen is likely the primary limiting nutrient for phytoplankton growth along the northwestern coast where dissolved inorganic nitrogen is typically depleted in summer. In the central and southeastern lake, nutrient concentrations are relatively higher, and light and winds are likely the main factors limiting phytoplankton blooms. In addition, surface winds and water temperature are important in regulating the seasonality of phytoplankton blooms. The model, however, is limited by the uncertainties of key biogeochemical parameters including the specifics of <em>Microcystis</em> vertical migration, and sediment-water interactions including nutrient fluxes and sediment transport. Nevertheless, with further development, this model can be useful for forecasting water quality and phytoplankton blooms and to assist in water management decision-making in the future.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111018"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025000018","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Lake Okeechobee is a shallow subtropical lake that is critically important for south Florida agriculture and the Everglades. In summer, the lake typically experiences strong blooms of cyanobacteria including toxin producing Microcystis aeruginosa. To understand the dynamics of these blooms and water quality in the lake, a coupled hydrodynamic-biogeochemical model based on the Regional Ocean Modeling System (ROMS) has been developed. The biogeochemical model was constructed to simulate major biogeochemical processes including nitrogen (N) and phosphorus (P) cycles, phytoplankton growth, zooplankton grazing, and microbial loop, among others. A three-year (2018–2020) simulation was carried out and calibrated with available in situ and remote sensing data for key physical and biogeochemical parameters. Although model and data generally agree in spatial patterns and seasonal cycles, significant discrepancies exist including exact timings of the blooms and dissolved inorganic and organic P concentrations. Model results indicate that Lake Okeechobee typically exhibits a two-layer circulation in summer with surface and bottom currents generally moving in the opposite directions. This feature couples with diurnal cycles of atmospheric forcing (winds and heating/cooling) and diel vertical migration (DVM) of Microcystis to strongly affect not only the spatial patterns of cyanobacteria blooms but also the bloom intensity in summertime. Horizontally, both model results and remote sensing images indicate that cyanobacteria distributions are concentrated in the central and northern lake during summer and in western lake in spring and fall, in responses to the prevailing winds. Consistent with previous laboratory and observational studies, model results also suggest that, among the two main nutrients N and P, nitrogen is likely the primary limiting nutrient for phytoplankton growth along the northwestern coast where dissolved inorganic nitrogen is typically depleted in summer. In the central and southeastern lake, nutrient concentrations are relatively higher, and light and winds are likely the main factors limiting phytoplankton blooms. In addition, surface winds and water temperature are important in regulating the seasonality of phytoplankton blooms. The model, however, is limited by the uncertainties of key biogeochemical parameters including the specifics of Microcystis vertical migration, and sediment-water interactions including nutrient fluxes and sediment transport. Nevertheless, with further development, this model can be useful for forecasting water quality and phytoplankton blooms and to assist in water management decision-making in the future.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).