Role of habitat variability in trout population dynamics: Application of a dynamic population model to three French rivers

Gouraud, Véronique; Sabaton, C.; Capra, Hervé

doi:10.1051/hydroecol:2004013

Cited by 14 publications

(8 citation statements)

References 34 publications

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“…To obtain a good representation of trout stocks observed in the different age classes, different phenomena affecting the populations had to be integrated into MODYPOP (Capra et al, 2003;Gouraud et al, 2004;Sabaton et al, 2008). These related essentially to mortality due to flooding and flushing, and to immigration of !1þ individuals in periods of overtopping.…”

Section: Use Of the Model At The Three Sitesmentioning

confidence: 99%

Long‐term simulations of the dynamics of trout populations on river reaches bypassed by hydroelectric installations—analysis of the impact of different hydrological scenarios

Gouraud¹,

Capra²,

Sabaton³

et al. 2008

River Research & Apps

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Changes in a brown trout (Salmo trutta L.) population result from interaction among various mechanisms which are dependent on environmental conditions and biotic processes. In reaches influenced by the presence of dams, the instream flow in the bypassed section is not the only parameter which affects the population. Flood episodes, the general connectivity of the bypassed section, and the characteristics of the substrate which define the availability and quality of spawning grounds may also have a crucial impact. The design and fine-tuning of tools which take environmental parameters into account can improve our understanding of the dynamics of such influenced populations. In this perspective, a deterministic model (MODYPOP) has been developed in an attempt to integrate all these factors and to test the effect of different long-term scenarios of influenced flow regimes on the structure of trout populations. MODYPOP was applied to three populations and three reaches (on the Roizonne, Neste d'Aure and Lignon du Forez rivers in France). For each stream, experiments were carried out on a bypassed section downstream of a hydropower station, before and after an increase in the minimum instream flow due to relicensing. These experiments allowed integrating into MODYPOP local phenomena (impact of flood episodes, impact of flushing, impact of downstream migration of juveniles and adults) affecting the populations during the study period and then calibrating them. To estimate the change in the population due to the increase in minimum instream flow, different long-term simulations were run, selecting discharge patterns at random. These scenarios help to evaluate the time required for the population to return to a range close to habitat saturation after an improvement in the hydraulic habitat or following a flood event. These applications have enabled determining the relative importance of changes in population density due to different types of events.

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Section: Use Of the Model At The Three Sitesmentioning

confidence: 99%

Long‐term simulations of the dynamics of trout populations on river reaches bypassed by hydroelectric installations—analysis of the impact of different hydrological scenarios

Gouraud¹,

Capra²,

Sabaton³

et al. 2008

River Research & Apps

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“…1996), combined impacts of changes in water flow and river structure (Elliott et al. 1999) and input to salmonid production models (Goraud et al. 2004; Railsback et al.…”

Section: Setting Environmental Flowsmentioning

confidence: 99%

“…These include fish dispersal (Hvidsten et al 1995;Fisher & Kummer 2000). Habitat models have also been coupled to models of salmonid population dynamics, which either model production in aggregate or else track growth of individual fish (individually based models: IBMs) (Bartholow et al 1993;Bartholow 1996;Van Winkle et al 1998;Capra et al 2003;Goraud et al 2004;Railsback et al 2009; University of California Berkley & Stillwater Sciences 2009). In these approaches, habitat measures, potentially at more than one unit of granularity, are used to describe spatial variation in carrying capacity for different life stages and spawning habitat availability, and, integrated with growth, migration and mortality measures, the models describe the interaction between population dynamics and physical conditions.…”

Section: Biological Models: Beyond Meso-scalementioning

confidence: 99%

Hydraulic‐habitat modelling for setting environmental river flow needs for salmonids

Dunbar

Alfredsen

Harby

2011

Fisheries Management Eco

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There is an increasing demand for tools to assist in the management of environmental flows in rivers. Changes in river discharge act on biota through a hydraulic template, which is mediated by channel morphology. Hence, environmental flow assessments also need to consider channel morphology, especially if morphology has been altered by human activities. Computer models describing the preferences of fish for hydraulic microhabitats have been applied to environmental flow problems since the mid‐1970s. Salmonids have been a particular focus for these methods. Other reviews have provided comprehensive coverage of the basic features and principles of such models. These are briefly discussed focusing on the developments that have occurred in the last 15 years and whose application has so far been infrequent. These include improvements to the representation of hydraulics at reach‐scale and of longer river sections, and improved representation of interacting physical variables that describe habitat. The central theme is the spatial coverage and fundamental granularity of such models. Despite a broad literature, there is a lack of documented examples of the application of hydraulic‐habitat models through all stages in the environmental flow decision‐making process. The review concludes with four short examples that illustrate the use of model output.

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“…Ce phéno-mène a été observé sur de nombreux sites (Capra et al, 2003 ;Cattanéo, 2002 ;2005 ;Cattanéo et al, 2002 ;Fahrner, 2010 ;Gouraud et al, 2001Gouraud et al, , 2008Gouraud et al, , 2004. En revanche, les valeurs seuils des débits pénalisants n'ont pas pu être repérées par rapport à des descripteurs classiques en hydrologie.…”

Section: Alevins (0+)unclassified

Sur quelles connaissances se baser pour évaluer l’état de santé des populations de truite commune (Salmo trutta) ?

Gouraud¹,

Baran

Bardonnet

et al. 2014

Hydroécol. Appl.

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Sur quelles connaissances se baser pour évaluer l'état de santé des populations de truite commune (Salmo trutta)? What do we know to evaluate the health of brown trout (Salmo trutta) populations?V. Gouraud (1) , P. Baran (2) , A. Bardonnet (3,3') , C. Beaufrère (4) , H. Capra (5) , A. Caudron (6) , M. Delacoste (7) , J.M. Lascaux (8) , M. Naura (9) , M. Ovidio (10) , N. Poulet (2) , L. Tissot (1) , C. Sabaton Résumé -Le retour au premier plan de la notion de santé des écosystèmes met en évidence la préoccupation de la société à mettre en oeuvre des mesures pour la protection des milieux anthropisés. Les critères d'évaluation de la santé des peuplements piscicoles mis en oeuvre sont rarement débattus au sein de la communauté scientifique. L'exercice proposé ici devait permettre d'avoir ce débat sur la truite commune (Salmo trutta), espèce phare des cours d'eau situés en tête de bassin, qui représentent la majorité du réseau hydrographique français. La démarche visait à recueillir la conception qu'avait un nombre restreint d'experts, sur le fonctionnement de ces populations et sur les critères d'évaluation de leur fonctionnement. Les paramètres clé régulant chaque stade de développement ont été identifiés et hiérarchisés. Un consensus s'est dégagé sur le fait que, dans l'état actuel des connaissances, le diagnostic Hydroécol. Appl.

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Role of habitat variability in trout population dynamics: Application of a dynamic population model to three French rivers

Cited by 14 publications

References 34 publications

Long‐term simulations of the dynamics of trout populations on river reaches bypassed by hydroelectric installations—analysis of the impact of different hydrological scenarios

Long‐term simulations of the dynamics of trout populations on river reaches bypassed by hydroelectric installations—analysis of the impact of different hydrological scenarios

Hydraulic‐habitat modelling for setting environmental river flow needs for salmonids

Sur quelles connaissances se baser pour évaluer l’état de santé des populations de truite commune (Salmo trutta) ?

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