Use of a generalised linear model to test habitat preferences: the example of <i>Zingel asper</i>, an endemic endangered percid of the River Rhône

Labonne, Jacques; Allouche, Stéphanie; Gaudin, Philippe

doi:10.1046/j.1365-2427.2003.01040.x

Cited by 38 publications

(46 citation statements)

References 30 publications

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“…Austin and Myers, 1996;Cairns, 2001;Cawsey et al, 2002;Yee and Mackenzie, 2002) and applications of GLMs to aquatic habitat modelling are limited. Labonne et al (2003) applied GLMs for analyzing fish-habitat relationships in the Beaume river. The main conclusion was that GLMs can be used as effective tools for the analysis of aquatic habitat-species relationship, especially when the assumptions of simpler methods cannot be justified.…”

Section: Generalized Linear Modelsmentioning

confidence: 99%

A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment

et al. 2006

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Habitat models serve three main purposes: First, to predict species occurrences on the basis of abiotic and biotic variables, second to improve the understanding of species-habitat relationships and third, to quantify habitat requirements. The use of statistical models to predict the likely occurrence or distribution of species based on relevant variables is becoming an increasingly important tool in conservation planning and wildlife management. This article aims to provide an overview of the current status of development and application of statistical methodologies for analysing the species-environment association, with a clear emphasis on aquatic habitat. It describes the main types of univariate and multivariate techniques available for analysis of species-environment association, and specifically focuses on the assessment of the strengths and weaknesses of the available statistical methods to estimate habitat suitability. A second objective of this article is to propose new approaches using existing statistical methods. A wide array of habitat statistical models has been developed to analyse habitat-species relationship. Generally, physical habitat is dependent on more than one variable (e.g. depth, velocity, substrate, cover) and several suitability indices must be combined to define a composite index. Multivariate approaches are more appropriate for the analysis of aquatic habitat as they inherently consider the interrelation and correlation structure of the environmental variables. Ordinary multiple linear regression and logistic regression are popular methods often used for modelling of species and their relationships with environment. Ridge regression and Principal component regression are particularly useful when the independent variables are highly correlated. More recent regression modelling paradigms like generalized linear models (GLMs) present advantages in dealing with non-normal environmental variables. Generalized additive models (GAMs) and artificial neural networks are better suited for analysis of non-linear relationships between species distribution and environmental variables. The fuzzy logic approach presents advantages in dealing with uncertainties that often exist in habitat modelling. Appropriate methods for analysis of multi-species data are also presented. Finally, the few existing comparative studies for predictive modelling are reviewed, and advantages and disadvantages of different methods are discussed.

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Section: Generalized Linear Modelsmentioning

confidence: 99%

A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment

et al. 2006

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“…Another explanation is that evaluations of the habitat structure of spawning aggregation sites have been largely qualitative descriptions and have not involved a quantitative comparison with habitat attributes in non-spawning sites. Much work has been done to determine the habitat attributes underlying spawning site selection in freshwater fishes by quantitatively comparing spawning and non-spawning sites (Baxter & Hauer 2000, Labonne et al 2003 and some marine fishes (Kroon et al 2000, Sancho et al 2000b). There is a great potential for applying the same approach to test hypotheses about the importance of habitat structure in the selection of spawning aggregation sites by reef fishes.…”

Section: Habitat Variationmentioning

confidence: 99%

Selection of a spawning aggregation site by Chromis hypsilepis (Pisces: Pomacentridae): habitat structure, transport potential, and food availability

Gladstone¹

2007

Mar. Ecol. Prog. Ser.

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Spawning aggregations form when fishes migrate to a site from their normal feeding grounds and form temporary groupings for breeding. Spawning aggregation sites are spatially rare, and demonstrating differences between a spawning aggregation site and unselected sites nearby is the first step towards understanding the benefits provided by the aggregation site. Chromis hypsilepis (Pomacentridae) is a demersally spawning reef fish, one population of which reproduces in a large, single aggregation at a rocky reef off the central coast of New South Wales, Australia. This study compared the habitat structure (rugosity, reef slope, substratum particle size, and abundance of preferred spawning microhabitat) of the spawning aggregation site and several non-spawning sites, and tested the hypotheses that the spawning aggregation site provided greater off-reef larval transport and prey availability for brooding males. Substratum rugosity was significantly greater and the preferred spawning microhabitat was significantly more abundant at the spawning aggregation site. Reef relief and substratum particle size were not significantly different from non-spawning sites. Passively drifting surface current drogues released at the spawning aggregation site were more rapidly transported off the reef, but did not travel further or faster, than drogues released at a nonspawning site over a 12 h period. Biomass of the preferred prey (copepods of 0.441 to 1.49 mm equivalent spherical diameter) was not significantly greater, but was less variable, at the spawning aggregation site.

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“…Little is known about its biology in general and its early development in particular. Demography and habitat preferences at various scales have been documented by several authors (Labonne et al, 2003;Labonne and Gaudin, 2005;Danancher et al, 2004). Working on the Durance population, Cavalli et al (2003) studied the impact of diet on growth patterns, and used the first scale measurement in Z. asper.…”

Section: Study Speciesmentioning

confidence: 99%

Scale measurements as a conservation tool in endangered Zingel asper (Linnaeus, 1758)

Danancher¹,

Labonne²,

Gaudin³

et al. 2007

Aquatic Conservation

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ABSTRACT1. Zingel asper (a percid) is a highly endangered endemic fish of the Rhone catchment (France). Scale reading was used to estimate age and growth rates in one of the two last remaining populations that are still present in relatively high densities (River Beaume).2. Scale reading was validated for the first time in Z. asper by comparing back-calculated lengths from scale annual increment to actual lengths obtained by individual mark-recapture monitoring. The impacts of age or sampling site on individual growth rates were explored using generalized linear models.3. No major discrepancy was observed between actual and back-calculated lengths. Longevity of Z. asper was inferred from the age data and did not exceed 3 years. Results showed variation in growth rates among ages (20 times higher for 1þ fish than for 2þ or 3þ fish) and also among sampling sites.4. The present work provided the first estimates of annual growth rates in the Beaume population. This study also showed that scale reading allowed a valuable trade-off between accuracy and conservation imperatives that often imply avoiding invasive techniques such as the implantation of passive integrative transponders.5. Scale reading will be a valuable tool for future ecological studies in Z. asper and will help in developing conservation strategies for this species as longevity and growth patterns are two lifehistory traits of major importance for the management of endangered populations.

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Use of a generalised linear model to test habitat preferences: the example of Zingel asper, an endemic endangered percid of the River Rhône

Cited by 38 publications

References 30 publications

A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment

A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment

Selection of a spawning aggregation site by Chromis hypsilepis (Pisces: Pomacentridae): habitat structure, transport potential, and food availability

Scale measurements as a conservation tool in endangered Zingel asper (Linnaeus, 1758)

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