Seasonal changes in the habitat use and movements of adult European grayling in a large subarctic river

Nykänen, Marjukka; Huusko, Ari; Mäki‐Petäys, Aki

doi:10.1111/j.1095-8649.2001.tb02269.x

Cited by 26 publications

(15 citation statements)

References 36 publications

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“…In accordance with recommendations by other authors (e.g., Nykänen et al 2001;Yu & Peters 2003;Daugherty & Sutton 2005;Vlach et al 2005;Heermann & Borcherding 2006), the highly variable species distribution and the fluctuating fish density suggest that an assessment of habitat rehabilitation measures should generally include these seasonal effects. Variability in species richness between summer and winter sampling was most pronounced in HA where 15 species were detected during the summer sampling but only seven during the winter sampling.…”

Section: Seasonal Effectssupporting

confidence: 81%

Seasonal and spatial bank habitat use by fish in highly altered rivers – a comparison of four different restoration measures

Pander

Geist

2010

Ecology of Freshwater Fish

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River regulations have resulted in substantial modifications of the characteristics and the diversity of stream ecosystems. Fish habitat use in the context of species life histories and temporal habitat dynamics are crucial for the development of sustainable measures of habitat restoration in degraded rivers. The objective of this study was to compare the effects of introducing four different in-stream structures (bank ripprapp, benched bank ripp-rapp, successively grown riparian wood and artificial dead wood, nine replicates each) on the seasonal fish community distribution in a heavily modified stream ecosystem. Species richness and diversity, fish biomass and density showed strong variation (i) between habitat types, (ii) among replicates of the same habitat type, and (iii) in different seasons. The current low abundance of historical widespread rheophilic and migratory fish species in the study stream suggests that technical bank habitat restoration measures are only of limited use for the restoration of highly specialised target species in conservation such as Barbus barbus and Chondrostoma nasus. However, introduction of particular artificial stream structures (in particular of artificial dead-wood fascines) was found to concentrate biomass and density of none-specialised fish species like Squalius cephalus, Alburnus alburnus, Gobio gobio or Rutilus rutilus.

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Section: Seasonal Effectssupporting

confidence: 81%

Seasonal and spatial bank habitat use by fish in highly altered rivers – a comparison of four different restoration measures

Pander

Geist

2010

Ecology of Freshwater Fish

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“…The home ranges of adult grayling in all three sections in summer and in the middle and upper sections in winter were of similar magnitude to other studies (Nykänen et al ., ; Nykänen, Huusko & Lahti, ; Ovidio et al ., ), the former two being in a sub‐Arctic river, but the latter occurring in a Belgian stream of similar size to the Rye. By contrast, winter home range of grayling in the downstream‐most section was five (Ovidio et al ., ) to 20 times (Nykänen et al ., , ) greater than published studies, and three to five times higher than in adjacent study sections at the same time. Winter‐time movement rates in the downstream, predator‐rich section were significantly greater in both winter periods.…”

Section: Discussionmentioning

confidence: 99%

“…Home range use by grayling was expressed in terms of linear range, along the river mid‐line. During the prespawning period, in spring, grayling exhibit a breakdown of home range as they prepare to spawn (Nykänen et al ., ; Ovidio et al ., ). In order to analyse space use of grayling tracked during the winter, spawning and summer periods, it was necessary to determine objectively the boundaries of the period associated with spawning.…”

Section: Methodsmentioning

confidence: 96%

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Fish in space: local variations of home range and habitat use of a stream‐dwelling fish in relation to predator density

Lucas

Bubb

2014

Journal of Zoology

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A key response of animals to local environmental variation is altered use of space, but studies simultaneously examining local variation in habitat use and space use are uncommon. We predicted that elevated abundance of avian predators would result in grayling Thymallus thymallus, a stream‐dwelling fish, using mesohabitats containing more cover, superimposed on seasonal changes in use of key resources (and hence space use) for functions such as reproduction. Using radio‐telemetry, the pattern of space and habitat use by 40 wild grayling was determined in neighbouring stream sections in relation to season and predator density. Grayling used different habitats between seasons, but displayed similar patterns of habitat use in adjacent sections. Although patterns of habitat use were stable between stream sections, space use was not. In two winter periods, grayling ranged significantly more widely where there were significantly greater densities of avian predators, especially cormorant, Phalacrocorax carbo. No such differences were apparent in summer when cormorants were absent, but experimental manipulation of predator densities was not possible, so results are correlative. Support for a predator effect is provided from significantly greater rates of injury, associated with avian beak scar marks, present on grayling from the section with highest avian predator densities, compared with adjacent sections with lower levels of avian predators. Unlike many studies of fish behaviour to elevated predation risk, in which fish make greater use of ‘refuge’ habitat, grayling exhibited wide‐ranging behaviour and high activity, possibly reflecting avoidance behaviour.

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“…For instance, in a recent study, Welker and Scarnecchia (2004) found a correlation of r > 0.9 between depth and velocity in North Dakota rivers. Habitat selection by fish is undoubtedly a multivariate process where location is selected based on several interacting variables (Nykanen et al, 2001).…”

Section: Habitat Suitability Criteria/indicesmentioning

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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Seasonal changes in the habitat use and movements of adult European grayling in a large subarctic river

Cited by 26 publications

References 36 publications

Seasonal and spatial bank habitat use by fish in highly altered rivers – a comparison of four different restoration measures

Seasonal and spatial bank habitat use by fish in highly altered rivers – a comparison of four different restoration measures

Fish in space: local variations of home range and habitat use of a stream‐dwelling fish in relation to predator density

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

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