Restoration and resilience to recovery of the Lake Loosdrecht ecosystem in relation to its phosphorus flow

Liere, Louis Van; Janse, Jan H.

doi:10.1007/bf00016099

Cited by 39 publications

(7 citation statements)

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“…Variable P/C stoichiometry throughout the system was included from the start, based on field and experimental data from this and other lakes. The model correctly simulated that the proposed phosphorus reduction measure did not stop the algal bloom and indicated the causes of the failure such as a decrease in the P/C ratio (Gulati et al 1991;Van Liere and Janse 1992). Scientific and management interests in alternative stable states in shallow lakes triggered an extension of the model, now called PCLake, with macrophytes, predatory fish and a nitrogen cycle in order to cover both states of the system: the current turbid and the desired clear state.…”

Section: Model Development and Applicationsmentioning

confidence: 95%

Challenges and opportunities for integrating lake ecosystem modelling approaches

et al. 2010

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A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: superindividual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.

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Section: Model Development and Applicationsmentioning

confidence: 95%

Challenges and opportunities for integrating lake ecosystem modelling approaches

et al. 2010

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“…The amount of P that is removed by reducing the population of planktivorous and benthivorous fish by more than 75% or to less than 50 kg FW/ha is substantial because the fish represent about 40-50% of the P that is present in the water in some lakes [40] [113]. Figure 2 from Van Liere and Janse [117] shows P content in mg P/m 2 for Lake Loosdrecht in 1987 as well as P fluxes in mg P/m 2 per day. Removal of 75% of the fish reduces P in the fish population from 150 mg P/m 2 to 37.5 mg P/m 2 and the P in the water from 321.5 to 209 mg P/m 2 , which is a 35% reduction.…”

Section: Professional Expertisementioning

confidence: 99%

Sustainable Management of Eutrophic Lakes and Reservoirs

Wagner¹,

Erickson²

2017

JEP

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Eutrophication of lakes and reservoirs is a major water quality problem that poses significant environmental, economic and social threats around the world. Monitoring and managing lakes and reservoirs to prevent or limit eutrophication, therefore, has significant value. The literature has been reviewed to study ecological engineering and management methods that have been and can be applied to improve water quality. Ecological engineering has the potential to be utilized to improve the design and operation of lakes and reservoirs through monitoring and active management of biological, chemical and physical components. Phosphorus concentrations can be reduced by effective and sustainable management practices to improve water quality.

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“…Unsuccessful lake biomanipulation is often explained by wind induced resuspension (Van Donk et al, 1990;Van Der Vlugt et al, 1992), and biomanipulation in peaty lakes, with their loose bottom sediments, might not work due to wind resuspension (Van Liere & Gulati, 1992;Van Liere & Janse, 1992;Scheffer, 2001;Gulati & Van Donk, 2002). In none of these studies, however, the role of wind resuspension and its interaction with fish stock removal was quantified.…”

Section: Resuspension By Wind and Fishmentioning

confidence: 99%

Why biomanipulation can be effective in peaty lakes

Heerdt¹,

Hootsmans²

2007

Hydrobiologia

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The effects of fish stock reduction (biomanipulation) was studied in an 85 ha shallow peaty turbid lake. The lake cleared in a 4-week period in April-May 2004, which demonstrated that biomanipulation can be effective in peaty lakes. We demonstrated that it is possible to reduce the fish stock to <25 kg ha -1 benthivorous fish and <15 kg ha -1 planktivorous fish, sufficiently low to switch the lake from a turbid to a clear state. Knowledge of lake morphology, fish stock, fish behaviour, and a variety of fishing methods was necessary to achieve this goal. It is expected that continuation of fisheries to remove young of the year planktivorous species is needed for several years, until macrophytes provide sufficient cover for zooplankton and can compete with phytoplankton. Cladocerans developed strongly after fish removal. The clearing of the lake coincided with a sudden decrease of filamentous cyanobacteria and suspended detritus, and a strong increase of Bosmina. We assume that Bosmina was able to reduce filamentous prokaryotes and detritus. After the disappearance of the cyanobacteria, Bosmina disappeared too. After the clearing of the lake Daphnia dominated in zooplankton and apparently was able to keep phytoplankton levels low. In our case, wind resuspension did not prevent biomanipulation from being successful. No correlation between windspeed and turbidity was found, neither in an 85 ha nor in a 230 ha shallow peaty lake. Regression analysis showed that on average 50% of the amount of suspended detritus can be explained by resuspension by fish and 50% by phytoplankton decomposition. The main goal of this biomanipulation experiment, clear water and increased submerged plant cover in a shallow peaty lake, was reached.

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Restoration and resilience to recovery of the Lake Loosdrecht ecosystem in relation to its phosphorus flow

Cited by 39 publications

References 38 publications

Challenges and opportunities for integrating lake ecosystem modelling approaches

Challenges and opportunities for integrating lake ecosystem modelling approaches

Sustainable Management of Eutrophic Lakes and Reservoirs

Why biomanipulation can be effective in peaty lakes

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