Factors regulating brown trout populations in two French rivers: application of a dynamic population model

Gouraud, Véronique; Baglinière, J.L.; Baran, Philippe; Sabaton, C.; Lim, P.; Ombredane, Dominique

doi:10.1002/rrr.655.abs

Cited by 14 publications

(20 citation statements)

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“…The simulated numbers of 0+ 234 V. Gouraud et al Gouraud et al (2001) and ≥1+ increase between 1988 and 1998, though there is a drop in 0+ in 1990, 1991 and 1997 due to the high summer temperatures. The extreme temperatures observed in 1991 also cause a drop in the ≥1+ class.…”

Section: Restoration Of the Population After A Climatic Episode -Oir mentioning

confidence: 97%

“…and Nelson (1988), Stalnaker et al (1996) and Bovee et al (1998) have all underscored the benefits of studying habitat dynamics to understand or evaluate the re-236 V. Gouraud et al Gouraud et al (2001) sponse of a fish population to changes in discharge. Rieman and Myers (1997) have stressed the lack of sufficiently prolonged biological monitoring to provide an accurate analysis of demographic variations in salmonid populations over the long term.…”

Section: Regulation Owing To Carrying Capacity Conditions -Neste D'oueilmentioning

confidence: 99%

“…MODYPOP was first applied to the Oir, a river in lower Normandy where restoration of the population following a sudden decline due to a sharp rise in temperature was simulated. It was next applied to the Neste d'Oueil in the Pyrenees (Gouraud et al, 2001), where regulation of the population through carrying capacity constraints in low-water periods was represented. Lastly, MODYPOP was applied to the Roizonne, in the Alps (Capra et al, 2003), where strong spring flooding appears to have a significant impact on the dynamics of the trout population in place.…”

Section: Introductionmentioning

confidence: 99%

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

Gouraud

Sabaton

Capra³

2004

Hydroécol. Appl.

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Abstract. -The Instream Flow Incremental Methodology (IFIM) was developed to determine flows that must be maintained downstream of hydropower plants to preserve aquatic populations. It is based on the hypothesis that the characteristics of the habitat in periods of low flow have a crucial impact on the dynamics of these populations. Other parameters that may also affect populations include: water quality, temperature, flood episodes, strategies for stocking, fishing, etc. Dynamic models of fish populations are now being developed in an attempt to integrate all these factors. The model presented here was applied on 3 populations (on Oir River, Neste d'Oueil River, and Roizonne River). The study has highlighted the fundamental role of the temporal variability of environmental parameters (particularly temperature, discharge and Weighted Surface Area) in structuring trout populations. Particularly, the flow-related habitat role simulated in the model -through a phenomenon of compensation during the first months of life and through displacement resulting in mortality, and mortality among fry when discharge is high -was illustrated by these examples.

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Section: Restoration Of the Population After A Climatic Episode -Oir mentioning

confidence: 97%

Section: Regulation Owing To Carrying Capacity Conditions -Neste D'oueilmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Gouraud

Sabaton

Capra³

2004

Hydroécol. Appl.

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“…The last class of mathematical population models we describe here is the matrix projection models (see Caswell 2001). Age-structured models developed by Leslie (1945) are the deterministic matrix models most commonly used in the literature, and several were developed for brown trout populations (e.g., MODYPOP: Sabaton et al 1997; Gouraud et al 2001; see also Table 6). The approach of Leslie was upgraded by classifying individuals into stages of development (Lefkovitch 1965) or size classes (Usher 1966) and was eventually generalised to consider any structuring factor (Caswell 2001).…”

Section: Population Dynamics Modelsmentioning

confidence: 99%

A review of ecological models for brown trout: towards a new demogenetic model

Frank

Piccolo

Baret

2011

Ecology of Freshwater Fish

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-Ecological models for stream fish range in scale from individual fish to entire populations. They have been used to assess habitat quality and to predict the demographic and genetic responses to management or disturbance. In this paper, we conduct the first comprehensive review and synthesis of the vast body of modelling literature on the brown trout, Salmo trutta L., with the aim of developing the framework for a demogenetic model, i.e., a model integrating both population dynamics and genetics. We use a bibliometric literature review to identify two main categories of models: population ecology (including population dynamics and population genetics) and population distribution (including habitat-hydraulic and spatial distribution). We assess how these models have previously been applied to stream fish, particularly brown trout, and how recent models have begun to integrate them to address two key management and conservation questions: (i) How can we predict fish population responses to management intervention? and (ii) How is the genetic structure of fish populations influenced by landscape characteristics? Because salmonid populations tend to show watershed scale variation in both demographic and genetic traits, we propose that models combining demographic, genetic and spatial data are promising tools for improving their management and conservation. We conclude with a framework for an individual-based, spatially explicit demogenetic model that we will apply to stream-dwelling brown trout populations in the near future.

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“…For example, Capra and others (1995) has demonstrated that spawning habitat availability reductions over continuous 20-day periods correlates well with production of juvenile trout. Building on Capra's work, Sabaton and others (1997) and Gouraud (2001) have further explored the field of limiting factors, both microhabitat and macrohabitat, using population models markedly similar to Salmod, with some promising results.…”

Section: General Description Of Salmodmentioning

confidence: 99%

Factors regulating brown trout populations in two French rivers: application of a dynamic population model

Cited by 14 publications

References 0 publications

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

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

A review of ecological models for brown trout: towards a new demogenetic model

Assessment of factors limiting Klamath River fall Chinook salmon production potential using historical flows and temperatures

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