PCLake+: A process-based ecological model to assess the trophic state of stratified and non-stratified freshwater lakes worldwide

Janssen, Annette B.G.; Teurlincx, Sven; Beusen, Arthur; Huijbregts, Mark A. J.; Rost, Jasmijn; Schipper, Aafke M.; Seelen, Laura; Mooij, Wolf M.; Janse, Jan H.

doi:10.1016/j.ecolmodel.2019.01.006

Cited by 48 publications

(26 citation statements)

References 45 publications

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“…Nutrient retention models simulating individual waterbodies are often process-based (i.e., employing process rates and mechanistic insights to estimate nutrient retention; Van Gerven et al 2009). For example, PCLake(+) (Janse 2005, Janssen et al 2019a, PCDitch (Janse andVan Puijenbroek 1997, Janse 2005), and the GLOBIO-Wetlands model (under development; Janse et al 2019) are process-based models from which nutrient retention processes and balances can be derived (Kong et al 2019). These models include feedback loops between ecological states and nutrient retention and have been used to explore water quality management options (Janssen et al 2019b).…”

Section: Nutrient Retention Modelsmentioning

confidence: 99%

Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

Wijk

Teurlincx

Brederveld³

et al. 2021

Inland Waters

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Section: Nutrient Retention Modelsmentioning

confidence: 99%

Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

Wijk

Teurlincx

Brederveld³

et al. 2021

Inland Waters

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“…We used a modelling approach to explore the effect of cyanobacterial traits on nutrient loading thresholds at the ecosystem level. We chose to use PCLake+ [46], which is the updated version of PCLake [47], as the model is known for its ability to calculate nutrient loading thresholds. PCLake+ was deemed suitable for our study for four reasons.…”

Section: Model Selectionmentioning

confidence: 99%

“…All model analyses performed in this study used a lake depth of 2 m and assumed complete vertical mixing. We note that PCLake+ is provided with an epilimnion and hypolimnion layer that can stratify [46]. We did not use these functionalities for this study because a sudden shift in the water quality state of deep lakes is less common [14].…”

Section: Bifurcation Analysesmentioning

confidence: 99%

Exploring How Cyanobacterial Traits Affect Nutrient Loading Thresholds in Shallow Lakes: A Modelling Approach

Chang

Teurlincx

Janse

et al. 2020

Water

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Globally, many shallow lakes have shifted from a clear macrophyte-dominated state to a turbid phytoplankton-dominated state due to eutrophication. Such shifts are often accompanied by toxic cyanobacterial blooms, with specialized traits including buoyancy regulation and nitrogen fixation. Previous work has focused on how these traits contribute to cyanobacterial competitiveness. Yet, little is known on how these traits affect the value of nutrient loading thresholds of shallow lakes. These thresholds are defined as the nutrient loading at which lakes shift water quality state. Here, we used a modelling approach to estimate the effects of traits on nutrient loading thresholds. We incorporated cyanobacterial traits in the process-based ecosystem model PCLake+, known for its ability to determine nutrient loading thresholds. Four scenarios were simulated, including cyanobacteria without traits, with buoyancy regulation, with nitrogen fixation, and with both traits. Nutrient loading thresholds were obtained under N-limited, P-limited, and colimited conditions. Results show that cyanobacterial traits can impede lake restoration actions aimed at removing cyanobacterial blooms via nutrient loading reduction. However, these traits hardly affect the nutrient loading thresholds for clear lakes experiencing eutrophication. Our results provide references for nutrient loading thresholds and draw attention to cyanobacterial traits during the remediation of eutrophic water bodies.

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“…Such models calibrated against data from a wide range of lakes are particularly useful for large-scale studies on many lakes, or for more local studies where there are little environmental data available for lake-specific calibration. LakeMab is a general P model for lakes which proved to perform quite well on an interannual basis in comparison with other static or general dynamic models such as PCLake (Bryhn and Håkanson 2007;Håkanson and Bryhn 2008;Janssen et al 2019). Originally designed for the modelling of radioactive compounds and suspended matter (Håkanson 2000(Håkanson , 2006, LakeMab distinguishes between a surface and a deep layer and their corresponding sediment areas where erosion and transport (ET), or accumulation (A) take place, respectively.…”

Section: Introductionmentioning

confidence: 99%

Adapting the dynamic LakeMab model to simulate seasonal variations of phosphorus concentration in reservoirs: a case study of Lake Bultière (France)

et al. 2020

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Controlling phosphorus is fundamental to limit the risk of eutrophication of continental aquatic ecosystems. Integrated modelling of its concentration in the aquatic continuum requires specific tools for water bodies. However, although simple static empirical models and complex biogeochemical models are numerous, there are few relatively simple and flexible models able to simulate seasonal variations in phosphorus concentrations in water bodies and particularly in reservoirs. In this study, the two-layer dynamic model, LakeMab, simulating phosphorus variations in water bodies, was enhanced to consider some tributary characteristics and reservoir specificities. It was then applied to the case of a reservoir in western France, Lake Bultière. Without any calibration, the modified model reproduced reasonably well seasonal variations in phosphorus concentration in the lake. A sensitivity analysis showed the importance of improvements related to reservoir functioning (outlet depth, water level fluctuations) and the smaller importance of those related to tributaries (variable concentrations, depth of riverine inputs). The model can easily be applied to diverse lentic systems and could be coupled to stream models, thereby making it a useful tool for managing water quality in lakes and reservoirs.

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PCLake+: A process-based ecological model to assess the trophic state of stratified and non-stratified freshwater lakes worldwide

Cited by 48 publications

References 45 publications

Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

Smart Nutrient Retention Networks: a novel approach for nutrient conservation through water quality management

Exploring How Cyanobacterial Traits Affect Nutrient Loading Thresholds in Shallow Lakes: A Modelling Approach

Adapting the dynamic LakeMab model to simulate seasonal variations of phosphorus concentration in reservoirs: a case study of Lake Bultière (France)

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