Thermoregulatory behavior of brown trout, Salmo trutta

Reynolds, William W.; Casterlin, Martha E.

doi:10.1007/bf00012567

Cited by 38 publications

(35 citation statements)

References 9 publications

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“…Eels did not express differences in thermal preferenda between light and dark periods, as has been found in some other fishes (Brett 1971, Reynolds & Casterlin 1979b), yet their activity may be inhibited during light periods. Varying photoperiod (LD 16 : 8,12: 12 and continuous darkness) also did not alter thermal preference of eels.…”

Section: Discussionsupporting

confidence: 64%

Thermal preferenda and behavior of Atlantic eels (genus Anguilla) in relation to their spawning migration

Haro

1991

Environ Biol Fish

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SynopsisThe final preferred temperatures (FPTs) of adult premigratory and migratory life-history phases of American eels, Anguilla rostrata, were determined by chronic tests in a horizontal thermal gradient. Mean FPTs were between 17 and 20°C and were not significantly different between life-history phases, acclimation temperatures, illumination regimes, photoperiods or sexual maturation states. Thermal behavior of eels was highly variable, both among individuals of the various test groups and among repeated tests of single individuals. Light inhibited behavioral thermoregulation by promoting shelter-seeking. The following inferences are drawn from the laboratory findings and observations of migrating A. rostrata and A. anguilla

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Section: Discussionsupporting

confidence: 64%

Thermal preferenda and behavior of Atlantic eels (genus Anguilla) in relation to their spawning migration

Haro

1991

Environ Biol Fish

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“…This is substantially lower than the mean optimal temperature for growth of 16°C (±0.24 SE), found for 11 charr populations from Sweden, Norway and England (Larsson & Berglund 1998, Larsson 2002. In a study on the thermal preference of brown trout (Central Pennsylvania, USA), Reynolds & Casterlin (1979b) found that the preferred mean temperature of six trout tested in an electronic thermoregulatory shuttle-box was 12.2°C. Brown trout from Norway and Spain have, in two independent studies, been suggested to have an optimal temperature for growth of 16-17°C (Forseth & Jonsson 1994, Ojanguren et al 2001).…”

Section: Introductionmentioning

confidence: 99%

“…However, several factors, including acclimation temperature (Kelsch 1990) and food ration (Mac 1985), have been suggested to affect the preferred temperature of fish. In the studies of temperature preference of charr (Peterson et al 1979) and trout (Reynolds & Casterlin 1979b), fish were not fed during the determination of the preferred temperature and in the study on charr, fish were only allowed to acclimatise to the experimental apparatus for 1 h. It seems likely that the suggested preferred temperatures of charr and trout in these studies might have been affected by the lack of food and the short acclimatisation period.…”

Section: Introductionmentioning

confidence: 99%

Thermal preference of Arctic charr, Salvelinus alpinus, and brown trout, Salmo trutta – implications for their niche segregation

Larsson

2005

Environ Biol Fish

104

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SynopsisThis study tested a new experimental apparatus to estimate thermal preferences of fish. The apparatus was designed to minimise the effect of the thermal history of the fish and allow for easy feeding. The set-up consisted of two connected sections of an aquarium, both receiving an excess of food, with slightly different water temperatures. Initially, the fish spent most of its time in one of the sections, but when the temperatures were slowly increased (or decreased), the fish spent increasingly more time in the other. The temperature at which the fish spent equal time in both sections was defined as the preferred temperature. Brown trout, Salmo trutta, preferred the reported optimal temperature for growth of the species. However, Arctic charr, Salvelinus alpinus, selected a significantly lower temperature than its optimal temperature for growth and thus contradicted the general view of good correlation between the optimal temperature for growth and preferred temperature of fish. The reason for this may be that charr is optimising its growth efficiency instead of its growth rate. Individuals that utilise a limited resource in an optimal way, by selecting a temperature where the growth efficiency is maximised, will possibly be favoured. Several factors affect the distribution of fish in lakes, but the difference in thermal preference between charr and trout might partly explain the frequently observed niche segregation of these two species in Scandinavian lakes.

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“…In the Cega, Pirón and Lozoya rivers, important losses of thermal habitat will occur that could jeopardize the viability of the trout population. Behavioural thermoregulatory tactics are common in fish (Reynolds and Casterlin, 1979;Goyer et al, 2014); for instance, some species perform short excursions (< 60 min in experiments with brook char, S. fontinalis) that could be a common thermoregulatory behaviour adopted by cold freshwater fish species to sustain their body temperature below a critical temperature threshold, enabling them to exploit resources in an unfavourable thermal environment (Pépino et al, 2015). Brown trout can use pool bottoms during daylight hours to avoid the warmer and less oxygenated surface waters in thermal refugia (Elliott, 2000).…”

Section: Effects Of Climate Change On Brown Trout Populationsmentioning

confidence: 99%

Waning habitats due to climate change: the effects of changes in streamflow and temperature at the rear edge of the distribution of a cold-water fish

Saez

Muñoz‐Mas²,

Solana‐Gutiérrez³

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Climate changes affect aquatic ecosystems by altering temperatures and precipitation patterns, and the rear edges of the distributions of cold-water species are especially sensitive to these effects. The main goal of this study was to predict in detail how changes in air temperature and precipitation will affect streamflow, the thermal habitat of a cold-water fish (the brown trout, Salmo trutta), and the synergistic relationships among these variables at the rear edge of the natural distribution of brown trout. Thirty-one sites in 14 mountain rivers and streams were studied in central Spain. Models of streamflow were built for several of these sites using M5 model trees, and a non-linear regression method was used to estimate stream temperatures. Nine global climate models simulations for Representative Concentration Pathways RCP4.5 and RCP8.5 scenarios were downscaled to the local level. Significant reductions in streamflow were predicted to occur in all of the basins (max. −49 %) by the year 2099, and seasonal differences were noted between the basins. The stream temperature models showed relationships between the model parameters, geology and hydrologic responses. Temperature was sensitive to streamflow in one set of streams, and summer reductions in streamflow contributed to additional stream temperature increases (max. 3.6 • C), although the sites that are most dependent on deep aquifers will likely resist warming to a greater degree. The predicted increases in water temperatures were as high as 4.0 • C. Temperature and streamflow changes will cause a shift in the rear edge of the distribution of this species. However, geology will affect the extent of this shift. Approaches like the one used herein have proven to be useful in planning the prevention and mitigation of the negative effects of climate change by differentiating areas based on the risk level and viability of fish populations.

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Thermoregulatory behavior of brown trout, Salmo trutta

Cited by 38 publications

References 9 publications

Thermal preferenda and behavior of Atlantic eels (genus Anguilla) in relation to their spawning migration

Thermal preferenda and behavior of Atlantic eels (genus Anguilla) in relation to their spawning migration

Thermal preference of Arctic charr, Salvelinus alpinus, and brown trout, Salmo trutta – implications for their niche segregation

Waning habitats due to climate change: the effects of changes in streamflow and temperature at the rear edge of the distribution of a cold-water fish

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