How long-term water level changes influence the spatial distribution of fish and other functional groups in a large shallow lake

Bhele, Upendra; Öğlü, Burak; Tuvikene, Arvo; Bernotas, Priit; Silm, Maidu; Järvalt, Ain; Agasild, Helen; Zingel, Priit; Seller, Siim; Timm, Henn; Nõges, Peeter; Nõges, Tiina; Cremona, Fabien

doi:10.1016/j.jglr.2020.02.010

“…The model output provides an overview of the ecosystem and the results of the scenario set by the user (Steenbeek et al 2016 ). An Ecospace model was used, for example, for Lake Võrtsjärv, a large shallow lake in Estonia, in order to predict how long-term water level changes infl uence the spatial distribution of fi sh and other functional groups, while accounting for habitats of higher or lesser quality (Bhele et al 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Fisheries Volume 48 Number 3 March 2023

2023

Fisheries

0

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“…The direct link between climatic variables (e.g., precipitation and temperature) and LWL fluctuations must be accurately and adequately established (John and John 2019) to develop better models of LWL. LWL fluctuations were considered to be related and largely influenced by climate change for a long period, and it was observed that climate change influences precipitation, temperature, and evaporation regimes, which ultimately pushes the LWL to extremities (Munyasya et al 2022, Yin et al 2022, Bhele et al 2020. The qualities, availability, complexity, and biological events among fauna are greatly influenced by the increasing water-level fluctuations (Gownaris et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Prediction of lake water-level fluctuations using adaptive neuro-fuzzy inference system hybridized with metaheuristic optimization algorithms

Pham

¹

,

Mohammadi

²

,

Moazenzadeh

³

et al. 2022

Appl Water Sci

7

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Lakes help increase the sustainability of the natural environment and decrease food chain risk, agriculture, ecosystem services, and leisure recreational activities locally and globally. Reliable simulation of monthly lake water levels is still an ongoing demand for multiple environmental and hydro-informatics engineering applications. The current research aims to utilize newly developed hybrid data-intelligence models based on the ensemble adaptive neuro-fuzzy inference system (ANFIS) coupled with metaheuristics algorithms for lake water-level simulation by considering the effect of seasonality on Titicaca Lake water-level fluctuations. The classical ANFIS model was trained using three metaheuristics nature-inspired optimization algorithms, including the genetic algorithm (ANFIS-GA), particle swarm optimizer (ANFIS-PSO), and whale optimization algorithm (ANFIS-WOA). For determining the best set of the input variables, an evolutionary approach based on several lag months has been utilized prior to the lake water-level simulation process using the hybrid models. The proposed hybrid models were investigated for accurately simulating the monthly water levels at Titicaca Lake. The ANFIS-WOA model exhibited the best prediction performance for lake water-level pattern measurement in this study. For the best scenario (the inputs were $${X}_{t-1},\; {X}_{t-2}, \;{X}_{t-3}, \;{X}_{t-4}, \; {X}_{t-12}$$ X t - 1 , X t - 2 , X t - 3 , X t - 4 , X t - 12 ) the ANFIS-WOA model attained root mean square error (RMSE $$\approx$$ ≈ 0.08 m), mean absolute error (MAE $$\approx$$ ≈ 0.06 m), and coefficient of determination (R2$$\approx$$ ≈ 0.96). Also, the results showed that long-term seasonal memory for this lake is suitable input for lake water-level models so that the long-term dynamic memory of 1-year time series for lake water-level data is the best input for estimating the water level of Titicaca Lake.

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“…The model output provides an overview of the ecosystem and the results of the scenario set by the user (Steenbeek et al 2016). An Ecospace model was used, for example, for Lake Võrtsjärv, a large shallow lake in Estonia, in order to predict how long-term water level changes influence the spatial distribution of fish and other functional groups, while accounting for habitats of higher or lesser quality (Bhele et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Applying the Safe Operating Space (SOS) Approach to Sustainable Commercial Fishing under Varying Lake Levels and Littoral Zone Conditions

Ofir

¹

,

Silver

²

,

Steenbeek

³

et al. 2022

Fisheries

2

0

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Successful management of lake ecosystems and the ecosystem services they provide necessitates ecosystem‐based management. The application of ecosystem‐based management can assist in achieving sustainable management of the ecosystem to ensure continued and sustainable supply of ecosystem services such as fisheries. One concept for defining sustainable fishing is the Safe Operating Space (SOS). In our study, we apply the Ecopath with Ecosim suite of models to predict the SOS required for the management of a commercial fishery. We use the Lake Kinneret (Israel) ecosystem as a case study to illustrate the approach by developing an Ecospace model of the lake and incorporating the spatio‐temporal framework and varying environmental conditions. We test, and demonstrate, the methodology for developing a SOS for a commercial fish population that can be implemented by lake managers elsewhere and illustrate it's use by defining example target values of biomass (e.g., 200 and 250 tons) and catch (e.g., 125 tons/year). Our results show that the SOS for a given target can be defined by a range of fishing efforts and vegetation cover in the lake as a function of lake level. The complexity in defining the actual values highlight the benefit of the approach we present here.

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How long-term water level changes influence the spatial distribution of fish and other functional groups in a large shallow lake

Cited by 13 publications

References 54 publications

Fisheries Volume 48 Number 3 March 2023

Fisheries Volume 48 Number 3 March 2023

Prediction of lake water-level fluctuations using adaptive neuro-fuzzy inference system hybridized with metaheuristic optimization algorithms

Applying the Safe Operating Space (SOS) Approach to Sustainable Commercial Fishing under Varying Lake Levels and Littoral Zone Conditions

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