Effects of discharge and local density on the growth of juvenile Atlantic salmon <i>Salmo salar</i>

Teichert, Maxim; Kvingedal, Eli; Forseth, Torbjørn; Ugedal, Ola; Finstad, Anders G.

doi:10.1111/j.1095-8649.2010.02614.x

Cited by 30 publications

(26 citation statements)

References 63 publications

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“…A reduced summer flow constrains fish in a restricted habitat, where fish compete for the most profitable position. Teichert et al (2010) manipulated flow and juvenile Atlantic salmon in artificial streams and demonstrated a similar positive relationship between growth and discharge (or mean velocity) during the summer. Juvenile brown trout generally display a drift-feeding behaviour (Glova & Field-Dodgson 1995).…”

Section: Discussionmentioning

confidence: 85%

Biotic and abiotic regulation of a low‐density stream‐dwelling brown trout (Salmo truttaL.) population: effects on juvenile survival and growth

Richard

Cattanéo

Rubin

2013

Ecology of Freshwater Fish

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The effects of biotic (density-dependent) and environmental (flow and temperature) factors on the apparent survival, mean length and size variation of a low-density brown trout population in the juvenile stage, that is, from their first summer (0+) to the end of the second year (1+), were determined. Apparent survival was negatively related to the age class density during the three periods (first summer, first winter and second summer). A significant interaction between the mean flow and 0+ density highlighted a gradient towards strong density dependence acting on fish loss (i.e., mortality or migration) with decreasing summer flow. Conversely, no density dependence was reported at higher mean flows. The mean length was determined by density-dependent and densityindependent (temperature and flow) factors throughout the study period. The negative relationship between fish length and intracohort density was highly significant during the three periods. The yearling (1+) density was negatively related to 0+ fish length measured after the first summer, suggesting intercohort effects. A positive effect of temperature on fish length was observed. Mean length after the summer seasons (0+ and 1+ fish) was also positively related to mean flow. Fish size variation around the mean measured with the coefficient of variation (CV) increased with increasing 0+ densities, both at the end of the first summer and the first winter. Results suggested that density-dependent and density-independent factors acted jointly on apparent survival and growth with a predominance of biotic processes. We discussed the potential implications of density-dependent regulations on growth and survival for population resilience after catastrophic events.

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Section: Discussionmentioning

confidence: 85%

Biotic and abiotic regulation of a low‐density stream‐dwelling brown trout (Salmo truttaL.) population: effects on juvenile survival and growth

Richard

Cattanéo

Rubin

2013

Ecology of Freshwater Fish

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“…This approach has been criticized because such models almost exclusively address physical habitat characteristics, thus omitting potentially important biotic factors (Armstrong et al, 2003;Rosenfeld, 2003;Teichert et al, 2010) and because the relationships fit poorly when transferred across different river morphologies (Armstrong et al, 2003). Wisz et al (2013) reported that one solution to account for interspecific interactions is to use species distribution models in concert with biotic surrogate variables that reflect spatial turnover or gradients in the distribution of biotic interactions.…”

mentioning

confidence: 99%

Random forests to evaluate biotic interactions in fish distribution models

Vezza

Muñoz‐Mas

Martínez‐Capel

et al. 2015

Environmental Modelling & Software

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Previous research indicated that high predictive performance in species distribution modelling can be obtained by combining both biotic and abiotic habitat variables. However, models developed for fish often only address physical habitat characteristics, thus omitting potentially important biotic factors. Therefore, we assessed the impact of biotic variables on fish habitat preferences in four selected stretches of the upper Cabriel River (E Spain).The occurrence of Squalius pyrenaicus and Luciobarbus guiraonis was related to environmental variables describing interspecific interactions (inferred by relationships among fish abundances) and channel hydro-morphological characteristics. Random Forests (RF) models were trained and then validated using independent datasets. In both training and validation phases, RF showed high performance. Water depth, channel width, fine substrate and water-surface gradient were selected as most important habitat variables for both fish. Results showed clear habitat overlapping between fish species and suggest that interspecific competition is not a strong factor in the study area.

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“…This may have been caused by using a growth function parameterized from data from another river using only temperature as a predictor. Although growth is strongly related to temperature, other factors such as density of conspecifics (Teichert, Kvingedal, Forseth, Ugedal, & Finstad, ) and food availability (Arnekleiv, Finstad, & Ronning, ) may affect growth. These properties will likely have differed between the river where the model was calibrated and the River Mandalselva.…”

Section: Discussionmentioning

confidence: 99%

Modelling the effect of hydropeaking‐induced stranding mortality on Atlantic salmon population abundance

et al. 2018

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Studies of hydropeaking‐induced stranding mortality on fish populations have been confined to analysis of empirical data and/or short‐term hydraulic‐habitat modelling of individual events and are thus limited as to how they may be used to infer long‐term effects in fish populations. In this study, the effects of stranding mortality on an Atlantic salmon population were simulated using an individual‐based Atlantic salmon population model with the objective of determining the sensitivity of population dynamics to stranding. It was found that density‐dependent mortality (an alternative source of mortality in juvenile Atlantic salmon) partially compensated for stranding mortality, acting as a negative feedback mechanism that dampened change in population abundance. Stranding caused a perturbation in population dynamics, and effects of individual stranding events persisted in time across the life stages of the population. Effects on population abundance depended on the time of year when stranding was applied, both because of intra‐annual changes in stranding mortality probability and because of intra‐annual changes in the ability of density‐dependent mortality to compensate for stranding mortality. We concluded that empirical measurements of stranding mortality have limited potential for inference of overall effects on the population, and a more dynamic modelling approach, incorporating system feedback, allows for a better modelling of the impact of stranding. Sensitivity analysis showed that population abundance was highly sensitive to density‐dependent mortality, and we suggest that this area should be prioritized for further research when investigating the effects of hydropeaking on rivers.

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Effects of discharge and local density on the growth of juvenile Atlantic salmon Salmo salar

Cited by 30 publications

References 63 publications

Biotic and abiotic regulation of a low‐density stream‐dwelling brown trout (Salmo truttaL.) population: effects on juvenile survival and growth

Biotic and abiotic regulation of a low‐density stream‐dwelling brown trout (Salmo truttaL.) population: effects on juvenile survival and growth

Random forests to evaluate biotic interactions in fish distribution models

Modelling the effect of hydropeaking‐induced stranding mortality on Atlantic salmon population abundance

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