ÉR

Étienne Rivot

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

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ÉP

Étienne Prévost

Nutrition Metabolism Aquaculture

Marie Nevoux

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Olivier Le Pape

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Gérald Chaput

Fisheries and Oceans Canada

Maxime Olmos

Montreal Clinical Research Institute

Laurent Beaulaton

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Félix Massiot‐Granier

Biologie des Organismes et Écosystèmes Aquatiques

Youen Vermard

Ifremer

MÉ

Marie‐Pierre Étienne

Institut de recherche mathématique de Rennes

Mathieu Woillez

Ifremer

Cooperative Institutions

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Ifremer

Centre National de la Recherche Scientifique

L'Institut Agro

Institut Agro Rennes-Angers

Institut de Recherche pour le Développement

Ecology and Ecosystem Health

Institut National de la Recherche Agronomique

Association pour l'Utilisation du Rein Artificiel dans la région Lyonnaise

Fisheries and Oceans Canada

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Intégration de l'approche bayésienne pour évaluer l'incertitude des estimateurs de régression par noyau associé discret

Tristan Senga Kiessé Étienne Rivot

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Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic

Fish and Fisheries (2018)

Maxime Olmos Félix Massiot‐Granier Étienne Prévost Gérald Chaput Ian Bradbury

Abstract A hierarchical Bayesian life cycle model is presented that considers spatial covariation of marine life history traits of Atlantic salmon ( Salmo salar ) populations in the North Atlantic. The model is based on a collective analysis of the dynamics of 13 stock units ( SU s) from two continental stock groups ( CSG s) in North America and Southern Europe in a single hierarchical model over the period 1971–2014. The model sets up a new assessment framework for Atlantic salmon stocks. It also provides a framework to investigate the drivers of changes in Atlantic salmon population dynamics including disentangling the effects of fisheries from those of environmental factors in a hierarchy of spatial scales. It is used to test the hypothesis of a strong spatial synchrony in marine life history dynamics of Atlantic salmon populations. The trends in two key parameters associated with the early marine phase of the life cycle are estimated: (i) the marine survival during the first summer–autumn spent at sea and (ii) the proportion of fish maturing after the first winter at sea. The results provide evidence of a decline in the marine survival together with an increase in the proportion of fish that mature after the first winter at sea, common to all SU s. Our results show an increased coherence in the covariations of trends in these two marine life history traits related to geographic proximity of SU s which support the hypothesis of a coherent response of geographically proximate Atlantic salmon populations that likely share similar migration routes.

Life History Theory

Marine life

Marine fish

10.1111/faf.12345

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Citations (50)

Appendix A. Detailed tables of parameters used for simulations and tables and figures of estimations of specific posterior distributions issued from simulations and from data.

Figshare (2016)

S. Rochette Olivier Le Pape J. Vigneau Étienne Rivot

Detailed tables of parameters used for simulations and tables and figures of estimations of specific posterior distributions issued from simulations and from data.

10.6084/m9.figshare.3518894

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How robust are Bayesian posterior inferences based on a Ricker model with regards to measurement errors and prior assumptions about parameters?

Canadian Journal of Fisheries and Aquatic Sciences (2001)

Étienne Rivot Étienne Prévost Éric Parent

We present a Bayesian approach of a Ricker stock-recruitment (S/R) analysis accounting for measurement errors on S/R data. We assess the sensitivity of posterior inferences to (i) the choice of Ricker model parameterizations, with special regards to management-related ones, and (ii) prior parameter distributions. Closed forms for Ricker parameter posterior distributions exist given S/R data known without error. We use this property to develop a procedure based on the RaoBlackwell formula. This procedure achieves integration of measurement errors by averaging these closed forms over possible S/R data sets sampled from distributions derived from a stochastic model relating field data to the S and R variables. High-quality Bayesian estimates are obtained. The analysis of the influence of different parameterizations and of the priors is made easier. We illustrate our methodological approach by a case study of Atlantic salmon (Salmo salar). Posterior distributions for S and R are computed from a markrecapture stochastic model. Ignoring measurement errors underestimates parameter uncertainty and overestimates both stock productivity and density dependence. We warn against using management-related parameterizations because it makes the strong prior assumption of long-term sustainability of stocks. Posterior inferences are sensitive to the choice of prior. The use of informative priors as a remedy is discussed.

10.1139/f01-167

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Understanding inter-reach variation in brown trout (Salmo trutta) mortality rates using a hierarchical Bayesian state-space model

Canadian Journal of Fisheries and Aquatic Sciences (2017)

Victor Bret Hervé Capra Véronique Gouraud Nicolas Lamouroux Jérémy Piffady

Successful management and protection of wild animal populations relies on good understanding of their life cycles. Because population dynamics depends on intricate interactions of biological and ecological processes at various scales, new approaches are needed that account for the variability of demographic processes and associated parameters in a hierarchy of spatial scales. A hierarchical Bayesian model for the resident brown trout (Salmo trutta) life cycle was built to assess the relative influence of local and general determinants of mortality. The model was fitted to an extensive data set collected in 40 river reaches, combining abundance and environmental data (hydraulics, water temperature). Density-dependent mortality of juveniles increased at low water temperatures and decreased with shelter availability. High water temperature increased density-dependent mortality in adults. The model could help to predict monthly juvenile and adult mortality under scenarios of global warming and changes in shelter availability due to habitat degradation or restoration.

Brown trout

Occupancy

Petromyzon

10.1139/cjfas-2016-0240

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Dynamics of plant use of a pest insect in an agricultural landscape studied using isotopic and molecular analyses

HAL (Le Centre pour la Communication Scientifique Directe) (2005)

Aude Vialatte Étienne Rivot Frûˋdûˋric Fabre Jean‐Christophe Simon Charles‐Antoine Dedryver

Insect pest

Agricultural pest

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Identifying mature fish aggregation areas during spawning season by combining catch declarations and scientific survey data

Canadian Journal of Fisheries and Aquatic Sciences (2023)

Baptiste Alglave Youen Vermard Étienne Rivot Marie‐Pierre Étienne Mathieu Woillez

Identifying and protecting essential fish habitats like spawning grounds requires an accurate knowledge of fish spatio-temporal distribution. Commercial declarations coupled with Vessel Monitoring System provide fine scale information on the full year to map fish distribution and identify essential habitats. We developed an integrated framework to infer fish spatial distribution on a monthly time step by combining scientific and commercial data while explicitly considering the preferential sampling of fisher towards areas of higher biomass. We developed a method to identify areas of persistent aggregation of biomass during the spawning season and interpret these as spawning areas. The model is applied to infer maps of relative biomass for three species (sole, whiting and squids) in the Bay of Biscay on a monthly time step over a 9 year period. Integrating several fleets in inference provides a good coverage of the area and improves model predictions. The preferential sampling parameters give insights into the temporal dynamics of the targeting behavior of the different fleets. Last, persistent aggregation areas reveal consistent with the available literature on spawning grounds, highlighting the potential of our approach to identify reproduction areas.

Whiting

10.1139/cjfas-2022-0110

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Citations (7)

La prédiction en écologie statistique

HAL (Le Centre pour la Communication Scientifique Directe) (2015)

Verena M. Trenkel Marie‐Pierre Étienne Étienne Prévost Étienne Rivot

Diction

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Working group on North Atlantic salmon (WGNAS)

Ida Ahlbeck-Bergendahl Julien April Hlynur Bárðarson Geir H. Bolstad Ian Bradbury

10.17895/ices.pub.4978

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Citations (40)

Growth during the first summer at sea modulates sex-specific maturation schedule in Atlantic salmon

Canadian Journal of Fisheries and Aquatic Sciences (2020)

Cécile Tréhin Étienne Rivot Ludivine Lamireau Lisa Meslier Anne‐Laure Besnard

Recent decline in abundance of Atlantic salmon (Salmo salar) and concomitant changes in life history may result from a decline in the growth conditions during marine migration. Available literature suggests the existence of a sex-specific reaction norm linking maturation with environmental growth conditions at sea. However, the extent to which this mechanism explains variations in age at maturity remains unclear. Using a historical collection of scales (1987–2017) from the Sélune River, France, we showed that marine growth declined over the first summer and remained stable during the subsequent periods at sea among returning salmon. Results support the hypothesis of a sex-specific probabilistic reaction norm, with individual probability to return after 1 year at sea increasing when growth increases. Females may require higher growth than males to attain their maturation threshold. This mechanism is a good candidate to explain temporal variability in sea-age at return at both the individual and population level in the Sélune population and in many other southern European populations.

Sexual maturity

10.1139/cjfas-2020-0236

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Citations (32)