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      Impact of fishing activities on the population dynamics of European whitefish in four peri-alpine lakes

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          Abstract

          Inland fisheries play a crucial role in socio-economic activities and food production. However, these fisheries are often less intensively monitored and studied than marine fisheries. In the past two decades, important fluctuations in European whitefish ( Coregonus lavaretus) landings have been observed in four peri-alpine lakes in France and Switzerland. To better gauge the impact of fishing removal, a multi-lakes Delay-Difference model was developed and adapted to these fisheries. A hierarchical state-space Bayesian framework was used to integrate stochasticity for each process and incorporate diverse data. The model gave estimates of time series for biomass, recruitment, stage-structured landings, and fishing mortality, as well as estimates of natural mortality rate, Brody growth coefficient and mean recruitment productivity. Differences in the estimates of variables predicted by the model were observed among lakes. Negative impacts of exploitation have been highlighted for Lakes Geneva, Bourget, and Annecy. Low levels of biomass under high fishing mortality rates were observed, while landings tended to increase under lower mortality rates. Lakes Geneva and Bourget outputs suggest stocks were impacted by fishing activities and that fishing effort reduction could ultimately increase yields. Lake Annecy abundance and landings trends increased after 2010, suggesting management strategies that focused on effort reduction were successful. Lake Neuchâtel stock abundance was low after 2017 and probably more fragile due to low biomass levels and recruitment. The observed changes in European whitefish biomass cannot be attributed solely to fishing, suggesting that environmental factors may also influence recruitment success alongside the impacts of fishing pressure.

          Abstract

          Our study introduces the first Bayesian Delay-Difference model adapted to whitefish fisheries in peri-alpine lakes. By analyzing various data, the model accurately estimates annual biomass, recruitment, stage structure of landings, and fishing mortality. These insights are invaluable for comprehending the historical trends and impacts of fishing activities on these stocks.

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          Inference from Iterative Simulation Using Multiple Sequences

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            On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks

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              Historical overfishing and the recent collapse of coastal ecosystems.

              Ecological extinction caused by overfishing precedes all other pervasive human disturbance to coastal ecosystems, including pollution, degradation of water quality, and anthropogenic climate change. Historical abundances of large consumer species were fantastically large in comparison with recent observations. Paleoecological, archaeological, and historical data show that time lags of decades to centuries occurred between the onset of overfishing and consequent changes in ecological communities, because unfished species of similar trophic level assumed the ecological roles of overfished species until they too were overfished or died of epidemic diseases related to overcrowding. Retrospective data not only help to clarify underlying causes and rates of ecological change, but they also demonstrate achievable goals for restoration and management of coastal ecosystems that could not even be contemplated based on the limited perspective of recent observations alone.
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                Author and article information

                Journal
                limn
                https://www.limnology-journal.org
                International Journal of Limnology
                Int. J. Lim.
                EDP Sciences
                2823-1465
                02 September 2024
                02 September 2024
                2024
                : 60
                : ( publisher-idID: limn/2024/01 )
                : 15
                Affiliations
                [1 ] Université Savoie Mont Blanc, INRAE, CARRTEL, , 74200 Thonon-les-Bains, France,
                [2 ] Scimabio Interface, , 74200 Thonon-les-Bains, France,
                [3 ] EABX, INRAE, , 33612 Cestas Cedex, France,
                Author notes
                [* ]Corresponding author: fabien.bourinet@ 123456inrae.fr
                Article
                limn230039
                10.1051/limn/2024015
                84c9cff3-1bd5-48a8-a2c5-b9197d9f9a25
                © F. Bourinet et al., Published by EDP Sciences, 2024

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 December 2023
                : 6 July 2024
                Page count
                Figures: 7, Tables: 6, Equations: 14, References: 138, Pages: 18
                Categories
                Special issue - Biology and Management of Coregonid Fishes - 2023
                Research article
                Custom metadata
                Int. J. Lim. 2024, 60, 15
                yes
                2024
                2024
                2024
                national-agreement-fr_2024

                Earth & Environmental sciences,Agriculture,Engineering,Geosciences,Materials science,Life sciences
                Delay-difference model,inland fisheries,stock assessment,state-space Bayesian framework,European whitefish

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