State-of-the-Art and Perspectives of Habitat Modelling for Determining Conservation Flows

Leclerc, Michel; Saint-Hilaire, André; Bechara, José A.

doi:10.4296/cwrj2802135

Cited by 32 publications

(23 citation statements)

References 22 publications

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“…Several instream flow estimation methods have been presented (Tharme, 2003). These include the minimum instream flow value (Tennant, 1976), hydraulic approaches (Reiser et al, 1989), habitat simulation models (Leclerc et al, 2003;Bovee et al, 1998;Ahmadi-Nedushann et al, 2006) and holistic methodologies (Caissie & El-Jabi, 2003;King & Brown, 2006). Hydrological indices can also be used to define instream flow requirements when incorporated into the natural flow paradigm in a manner such as that proposed by Arthington et al (2006).…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis of the low-flow regimes in eastern Canadian rivers

Daigle

St‐Hilaire

Beveridge

et al. 2011

Hydrological Sciences Journal

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A characterization of the low-flow regimes of 175 eastern Canadian rivers based on multivariate analysis of hydrological indices (HIs) is presented. Principal component analysis (PCA) was used to identify eight highly informative and low-correlated HIs amongst 67 low-flow HIs reported in the literature, and to test their ability to describe regional characteristics and differences among low-flow regimes at the 175 stations. It was found that eight HIs can provide a regional description of the main low-flow characteristics almost equivalent to using all HIs related to low flows. The PCA also identified regional similarities and differences among the geographical and hydrological regions within the Province of Quebec, as well as between the Atlantic provinces of Canada. Multivariate analysis proved to be an efficient tool that can complement expert knowledge in the selection of criteria for instream flow assessments in eastern Canada, by quantitatively indicating indices carrying high information, and by ensuring low redundancy in the selected subset of variables (HIs).

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Section: Introductionmentioning

confidence: 99%

Multivariate analysis of the low-flow regimes in eastern Canadian rivers

Daigle

St‐Hilaire

Beveridge

et al. 2011

Hydrological Sciences Journal

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“…Although these technologies cannot directly generate detailed data on historic conditions, they can provide a very detailed picture of existing conditions. In the US, these new sensors can be classified as or diversion schemes that change the hydrological regime or reduce discharges (Leclerc et al 2003). Most of the applications have been focusing on fish species, but models to assess benthic habitats or floodplain vegetation habitats have also been developed and applied in a few cases (Jorde 1996).…”

Section: Developments In Measurement Techniques and Simulation Modelingmentioning

confidence: 99%

Minimizing environmental impacts of hydropower development: transferring lessons from past projects to a proposed strategy for Chile

Goodwin

Jorde

Meier

et al. 2006

Journal of Hydroinformatics

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Large dams have provided extensive benefits during the past 60 years but have also resulted in ecological and social consequences that were unexpected or were deemed to have a lower societal importance than the design benefits. The management of large dams is still a relatively new scientific issue, compared to the timeframe necessary to detect and understand all the consequences occurring at the watershed scale. This paper summarizes the unforeseen or unanticipated environmental consequences of these projects and potential ramifications to the overall project performance. The value of a central knowledge base and the importance of a system-wide monitoring program to assess pre-and post-implementation conditions and adapt operational rules are presented. Knowledge developed in several basins is reviewed in the context of future strategies for Chile. Chile has a strong economy, looming energy crisis and is faced with balancing the long-term value of a renowned natural landscape with unique ecology and the largest salmon aquaculture industry in the world against the prospect of low cost hydropower to drive other sectors of the economy. This paper outlines the hydroinformatics technologies and scientifically based management approaches that can be applied to this complex issue.

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“…Based on the similarity of existing and preferred conditions of aquatic organisms, an estimate of habitat quality can be assigned to a specific location. The classic approach of qualifying and quantifying habitats to estimate habitat indices defines an optimum range of abiotic conditions for indicator species (Leclerc et al 2003). The most common index to describe the biological response to abiotic attributes is the habitat suitability index (HSI) which ranges from 0.0 (unsuitable) to 1.0 (most suitable).…”

Section: Introductionmentioning

confidence: 99%

Simulations of spawning habitats for brown trout in an Alpine river reach using a two-stage multivariate fuzzy-logical approach

Noack¹,

Ortlepp²,

Wieprecht³

2015

ecomont

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The availability of suitable spawning habitats for gravel-spawning fish is an important indicator for Alpine river reaches regarding hydro-and morphodynamic components of fluvial ecosystems. This paper presents advances in habitat modelling techniques of suitable spawning habitat conditions for brown trout (Salmo trutta) by applying multivariate fuzzy-logical habitat modelling in combination with a three-dimensional numerical sediment-transport model. The fuzzy-logical approach considers multiple particle size classes to evaluate the suitability of sediment characteristics (sediment spawning index, SSI). It is then combined with hydraulic characteristics to compute spawning habitat suitability (HSI spawn ). The study site is part of the River Spoel in the Swiss National Park in the Central Alps of Switzerland. The modelling approach was applied to two spawning seasons (2009 and 2010) and provides information about the spatial distribution of suitable spawning habitats. The simulated results indicate a good model performance when comparing the simulation results with observed spawning redds. The predictability of the modelling approach allows further investigations into new management scenarios to improve the hydro-and morphodynamic situation in the River Spoel and to increase the availability of suitable spawning habitats for brown trout.

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State-of-the-Art and Perspectives of Habitat Modelling for Determining Conservation Flows

Cited by 32 publications

References 22 publications

Multivariate analysis of the low-flow regimes in eastern Canadian rivers

Multivariate analysis of the low-flow regimes in eastern Canadian rivers

Minimizing environmental impacts of hydropower development: transferring lessons from past projects to a proposed strategy for Chile

Simulations of spawning habitats for brown trout in an Alpine river reach using a two-stage multivariate fuzzy-logical approach

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