Physiological biomarkers and fisheries management

Brosset, Pablo; Cooke, Steven J.; Schull, Quentin; Trenkel, Verena M.; Soudant, Philippe; Lebigre, Christophe

doi:10.1007/s11160-021-09677-5

Cited by 25 publications

(9 citation statements)

References 156 publications

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“…Of course, it is also possible to measure biomarkers ( e.g ., omics, isotopic signatures, genetics, endocrine state) on fish that are tagged and released (or recaptured) to also generate understanding about the drivers and consequences of behaviours [see Brosset et al . (2021) and Thorstensen et al . (2022) for reviews].…”

Section: The Future Of Fish Movement Ecology: Unknowns and Opportunitiesmentioning

confidence: 96%

The movement ecology of fishes

Cooke

Bergman

Twardek

et al. 2022

Journal of Fish Biology

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Movement of fishes in the aquatic realm is fundamental to their ecology and survival. Movement can be driven by a variety of biological, physiological and environmental factors occurring across all spatial and temporal scales. The intrinsic capacity of movement to impact fish individually (e.g., foraging) with potential knock‐on effects throughout the ecosystem (e.g., food web dynamics) has garnered considerable interest in the field of movement ecology. The advancement of technology in recent decades, in combination with ever‐growing threats to freshwater and marine systems, has further spurred empirical research and theoretical considerations. Given the rapid expansion within the field of movement ecology and its significant role in informing management and conservation efforts, a contemporary and multidisciplinary review about the various components influencing movement is outstanding. Using an established conceptual framework for movement ecology as a guide (i.e., Nathan et al., 2008: 19052), we synthesized the environmental and individual factors that affect the movement of fishes. Specifically, internal (e.g., energy acquisition, endocrinology, and homeostasis) and external (biotic and abiotic) environmental elements are discussed, as well as the different processes that influence individual‐level (or population) decisions, such as navigation cues, motion capacity, propagation characteristics and group behaviours. In addition to environmental drivers and individual movement factors, we also explored how associated strategies help survival by optimizing physiological and other biological states. Next, we identified how movement ecology is increasingly being incorporated into management and conservation by highlighting the inherent benefits that spatio‐temporal fish behaviour imbues into policy, regulatory, and remediation planning. Finally, we considered the future of movement ecology by evaluating ongoing technological innovations and both the challenges and opportunities that these advancements create for scientists and managers. As aquatic ecosystems continue to face alarming climate (and other human‐driven) issues that impact animal movements, the comprehensive and multidisciplinary assessment of movement ecology will be instrumental in developing plans to guide research and promote sustainability measures for aquatic resources.

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Section: The Future Of Fish Movement Ecology: Unknowns and Opportunitiesmentioning

confidence: 96%

The movement ecology of fishes

Cooke

Bergman

Twardek

et al. 2022

Journal of Fish Biology

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“…For sardine, in which the harvest rate increased substantially recently, we found no evidence that the selective disappearance of fish with high growth rate at age‐0 was linked to fishing itself (Boëns et al, 2021 ) but there are more evidences suggesting that changes in food quantity and/or quality might be driving the declines in individuals' growth of this stock (Véron et al, 2020 ) in a similar manner than in other areas (Brosset et al, 2015 , 2017 ; Saraux et al, 2019 ). It is therefore important to now identify precisely these factors, understand the physiological constraints acting on growth in European sardines (Brosset et al, 2021 ) and adjust the harvest rate according to environmental conditions. Overall, our study shows that the apparent similarity of the declines in size‐at‐age in these two exploited populations with similar trophic levels and ecologies is actually underpinned by fundamentally different mechanisms that should be taken into account in the management of these stocks.…”

Section: Discussionmentioning

confidence: 99%

“…It is therefore important to now identify precisely these factors, understand the physiological constraints acting on growth in European sardines (Brosset et al, 2021) and adjust the harvest rate according to environmental conditions. Overall, our study shows that the apparent similarity of the declines in size-at-age in these two exploited populations with similar trophic levels and ecologies is actually underpinned by fundamentally different mechanisms that should be taken into account in the management of these stocks.…”

Section: Con Clus Ionmentioning

confidence: 99%

Different mechanisms underpin the decline in growth of anchovies and sardines of the Bay of Biscay

Boëns

Ernande

Petitgas

et al. 2023

Evolutionary Applications

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Declines in individuals' growth in exploited fish species are generally attributed to evolutionary consequences of size‐selective fishing or to plastic responses due to constraints set by changing environmental conditions dampening individuals' growth. However, other processes such as growth compensation and non‐directional selection can occur and their importance on the overall phenotypic response of exploited populations has largely been ignored. Using otolith growth data collected in European anchovy and sardine of the Bay of Biscay (18 cohorts from 2000 to 2018), we parameterized the breeder's equation to determine whether declines in size‐at‐age in these species were due to an adaptive response (i.e. related to directional or non‐directional selection differentials within parental cohorts) or a plastic response (i.e. related to changes in environmental). We found that growth at age‐0 in anchovy declined between parents and their offspring when biomass increased and the selective disappearance of large individuals was high in parents. Therefore, an adaptive response probably occurred in years with high fishing effort and the large increase in biomass after the collapse of this stock maintained this adaptive response subsequently. In sardine offspring, higher growth at age‐0 was associated with increasing biomass between parents and offspring, suggesting a plastic response to a bottom‐up process (i.e. a change in food quantity or quality). Parental cohorts in which selection favoured individuals with high growth compensation produced offspring high catch up growth rates, which may explain the smaller decline in growth in sardine relative to anchovy. Finally, on non‐directional selection differentials were not significantly related to the changes in growth at age‐0 and growth compensation at age‐1 in both species. Although anchovy and sardine have similar ecologies, the mechanisms underlying the declines in their growth are clearly different. The consequences of the exploitation of natural populations could be long lasting if density‐dependent processes follow adaptive changes.

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“…habitat, prey, exposure to pathogens) or human impact (illegal and unreported fishing) (Link et al, 2020). One could also, for example, extend analysis of the species physiology by analysing bio-markers (Brosset et al, 2021), use food web knowledge to identify changes in the ecosystem dynamics (Eero et al, 2021), and/or perform an overall in-depth analysis of major mechanisms impacting living marine resource of interest (Link et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Fish condition as an indicator of stock status: Insights from condition index in a food‐limiting environment

2023

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Individual performance defines population dynamics. Condition index -a ratio of weight and some function of length -has been louded as an indicator of individual performance and recommended as a tool in fisheries management and conservation.However, insufficient understanding of the correlation between individual-level processes and population-level responses hinders its adoption. To this end, we use composite modelling to link individual's condition, expressed through the condition index, to population-level status. We start by modelling ontogeny of European pilchard (Sardina pilchardus, Clupeidae) as a function of food and constant temperature using Dynamic Energy Budget theory. We then provide a framework to simultaneously track the individual-and population-level statistics by incorporating the dynamic energy budget model into an individual-based model. Lastly, we explore the effects of fishing pressure on the statistics in two constant and food-limited environmental carrying capacity scenarios. Results show that, regardless of the species' environmental carrying capacity, individual condition index will increase with fishing mortality, that is, with reduction of stock size. Same patterns are observed for gilthead seabream (Sparus aurata, Sparidae), a significantly different species. Condition index can, therefore, in food-limited populations, be used to (i) estimate population size relative to carrying capacity and (ii) distinguish overfished from underfished populations. Our findings promote a practical way to operationally incorporate the condition index into fisheries management and marine conservation, thus providing additional use for the commonly collected biometric data. Some real-world applications, however, may require additional research to account for other variables such as fluctuating environmental conditions and individual variability.

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Physiological biomarkers and fisheries management

Cited by 25 publications

References 156 publications

The movement ecology of fishes

The movement ecology of fishes

Different mechanisms underpin the decline in growth of anchovies and sardines of the Bay of Biscay

Fish condition as an indicator of stock status: Insights from condition index in a food‐limiting environment

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