3D modelling of dreissenid mussel impacts on phytoplankton in a large lake supports the nearshore shunt hypothesis and the importance of wind-driven hydrodynamics

Schwalb, Astrid N.; Bouffard, Damien; Boegman, Leon; León, Luis F. De; Winter, Jennifer G.; Molot, Lewis A.; Smith, Ralph E. H.

doi:10.1007/s00027-014-0369-0

Cited by 15 publications

(8 citation statements)

References 59 publications

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“…However, it did reproduce the spatial and temporal dynamics of DO concentration reasonably where comparisons were made, as described in section 3. It has been validated in previous simulations of temperature, phytoplankton, and major nutrient concentrations for 2008 and other years in Lake Erie (Bocaniov, Ullmann, et al, 2014; Bocaniov et al, 2016; Bocaniov & Scavia, 2016; Karatayev et al, 2018; Leon et al, 2011; Liu et al, 2014) and in other lakes (e.g., Lake Simcoe, Schwalb et al, 2015). The simulated hypoxic areas also compared reasonably well with recent work designed to overcome the limitations of survey data in quantifying hypoxia dynamics (Zhou et al, 2013, 2015).…”

Section: Discussionmentioning

confidence: 72%

Section: Water Resources Researchmentioning

confidence: 92%

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High Sensitivity of Lake Hypoxia to Air Temperatures, Winds, and Nutrient Loading: Insights From a 3‐D Lake Model

Bocaniov

Lamb

et al. 2020

Water Resources Research

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A three-dimensional hydrodynamic-ecological model is applied to Lake Erie to predict the response of dissolved oxygen (DO) to independent changes in air temperature, wind speeds and total phosphorus (TP) loading. Warmer temperatures and lower wind speeds increased the size and duration of hypoxic and anoxic regions by lengthening the stratified period. Decreased wind speed increased hypolimnion thickness while decreasing its temperature and DO consumption rate. Decreased TP loading improved DO conditions with a reduction of 75% effectively abolishing hypoxia. Anoxia was more sensitive to air temperature, wind, and nutrient changes than was hypoxia. New metrics that capture the spatial and temporal dimensions of low DO conditions were more sensitive than the commonly cited maximum areas of hypoxia or anoxia. Over most of the relevant range of forcing factors, the simple and first-order effect of a 1°C temperature change was equivalent to a 10-14% change in TP loads, while a 1% change in wind speed was equivalent to a 2-3% change in TP loads. Reduced ice cover in warmer climates will likely increase air temperature effects even further.

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Section: Discussionmentioning

confidence: 72%

Section: Water Resources Researchmentioning

confidence: 92%

High Sensitivity of Lake Hypoxia to Air Temperatures, Winds, and Nutrient Loading: Insights From a 3‐D Lake Model

Bocaniov

Lamb

et al. 2020

Water Resources Research

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“…Conversely, some papers focus on the simulation of the impact of climate changes on lake eutrophication (Elliott and Defew, 2012;Hassan et al, 1998;Schwefel et al, 2016). It includes the increase of temperature (Markensten et al, 2010) and the intensification of extreme climatic events such as floods (Brito et al, 2017) or storms (Schwalb et al, 2015).…”

Section: Modelling Objectivesmentioning

confidence: 99%

“…2D models, more rarely used, are developed for large but shallow systems where thermal stratification is negligible (Fragoso et al, 2008;Huang et al, 2012;Zhang et al, 2008). 3D models appeared in the early 2000s (Kuo and Thomann, 1983), but it was in the 2010s, due to the increase of computational power and of in situ measurements, that 3D models have been increasingly applied on lakes (Carraro et al, 2012;Deus et al, 2013;Leon et al, 2011;Schwalb et al, 2015;Soulignac et al, 2017).…”

Section: From Box Models To 3d Modelsmentioning

confidence: 99%

Modelling eutrophication in lake ecosystems: A review

Vinçon‐Leite

Casenave²

2019

Science of The Total Environment

199

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“…1 in the Online Supplementary Information section D) (Chi-square test, p = 0.37). From those models that assessed uncertainty we mainly found studies that manually changed different input parameters using literature ranges (e.g., Jiang, Xia et al 2015), estimated a degree of increase or decrease based on expected changes (Johnson, Bunnell et al 2005; Guilder and Seefelt 2013), assessed effects of different initial IAS biomass values (Zhang, Culver et al 2008;Schwalb, Bouffard et al 2014) or used Monte Carlo routines (Yurista and Schulz 1995;Cha, Stow et al 2011).…”

Section: Overview Of the Main Modelling Approachesmentioning

confidence: 99%

Advances and challenges in modelling the impacts of invasive alien species on aquatic ecosystems

et al. 2019

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Invasive alien species (IAS) have become an important driver of biodiversity change and exert severe pressure on natural ecosystems. The development of modelling approaches to assess and predict their distributions and impacts, and evaluate management options has increased substantially.We reviewed these modelling approaches, applied in aquatic ecosystems, using a systematic review approach in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). According to our results, multispecies/ecosystem models dominated the applications, with dynamic and nonspatial models being the most prevalent. Most of the models included an additional stressor, mainly fisheries, climate change or nutrient loading. The impacts on biota focused on predation, but also on competition and ecosystem functioning, while the impacts on ecosystem services focused on food provision and water purification. At species/population level, most of the studies reported negative impacts; while at multispecies/ecosystem level, negative and both negative and positive impacts were similarly represented.We reflect on the ability of current models to assess different impacts of IAS populations and highlight the need to advance their capabilities to predict future impacts. Further development of models that allow capturing the arrival, establishment and spread of IAS and assess their impacts in an integrated way is still needed. Spatialtemporal modelling techniques bridging with novel analytical capabilities (such as environmental DNA to investigate the presence of IAS and metabarcoding and machine learning to predict future trophic behavior and distributions) may be the key for future achievement.

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3D modelling of dreissenid mussel impacts on phytoplankton in a large lake supports the nearshore shunt hypothesis and the importance of wind-driven hydrodynamics

Cited by 15 publications

References 59 publications

High Sensitivity of Lake Hypoxia to Air Temperatures, Winds, and Nutrient Loading: Insights From a 3‐D Lake Model

High Sensitivity of Lake Hypoxia to Air Temperatures, Winds, and Nutrient Loading: Insights From a 3‐D Lake Model

Modelling eutrophication in lake ecosystems: A review

Advances and challenges in modelling the impacts of invasive alien species on aquatic ecosystems

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