La biologie de la truite commune (Salmo trutta L.) dans la rivière Scorff, Bretagne : une synthèse des études de 1972 à 1997

Baglinière, J.L.; Maisse, Gérard

doi:10.20870/productions-animales.2002.15.5.3711

Cited by 18 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S YOY =0.51 and S juveniles =0.50 were derived from Elliott and Hurley (1998) (assuming a constant mortality rate across time). These rates were consistent with values observed in other brown trout populations (Needham et al 1945, McFadden and Cooper 1962, Hunt 1969, Mortensen 1977, Brynildson and Brynildson 1984, Olsen and Vollestad 2001, Baglinière and Maisse 2002). S adults was fixed at 0.50 (Needham et al 1945, McFadden and Cooper 1962, Hunt 1969, Baglinière and Maisse 2002).…”

Section: Methodssupporting

confidence: 91%

“…The studies conducted by Elliott and Hurley (1998) and Lobón‐Cervià (2003) indicated that variability in adult survival was low. Moreover, mean survival after the first year is generally high, ranging from 27% to 55% (Needham et al 1945, McFadden and Cooper 1962, Hunt 1969, Mortensen 1977, Elliott and Hurley 1998, Olsen and Vollestad 2001, Baglinière and Maisse 2002). The lowest estimates are probably underestimated because of technical difficulties (catchability, tag loss, migration) or interspecific competition (Olsen and Vollestad 2001).…”

Section: Discussionmentioning

confidence: 99%

“…We considered a 0.092 mean survival for the YOY between emergence and census at low density (no density dependence) and less than average discharge conditions during emergence (Brynildson and Brynildson 1984, Elliott and Hurley 1998, Baglinière and Maisse 2002). Parameter a was thus calculated as , where is the average of 30 (yearly) mean provided by Cattanéo et al (2002).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Population fluctuations, regulation and limitation in stream‐living brown trout

Daufresne¹,

Renault²

2006

Oikos

View full text Add to dashboard Cite

Daufresne, M. and Renault, O. 2006. Population fluctuations, regulation and limitation in stream-living brown trout. Á Oikos 113: 459 Á468.Determining causes of variation in population size and identifying factors responsible for fluctuations in species abundance are crucial questions both in theoretical and applied ecology. Based on the analysis of abundance time series, many studies have concluded that population dynamics of the stream-living brown trout (Salmo trutta L.) are mainly driven by year-to-year variation in the discharge level during emergence. Endogenous regulatory processes have often been considered as weak explanations for these fluctuations. This led some authors to consider that brown trout was able to persist in time with no operation of density-dependent processes. Using a model of population dynamics, we studied the influence of both discharge level during emergence and density-dependent regulatory processes on population limitation and fluctuations. We show that density-dependent and density-independent processes can act together on population density and stability at equilibrium (limitation process). We also show that the effects of internal feedbacks regulating population may often be invisible when analyzing abundance fluctuations at the interannual scale. Our results question the accuracy of studies based on the analysis of interannual fluctuations in abundance to identify processes driving population density at equilibrium.

show abstract

Section: Methodssupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Population fluctuations, regulation and limitation in stream‐living brown trout

Daufresne¹,

Renault²

2006

Oikos

View full text Add to dashboard Cite

show abstract

“…In the Ire, Gotland, brown trout ascending to spawn entered the rivers only a short time before spawning took place and most of the fish descended to the sea as soon as the spawning was over (Hessle, 1935), just as in Själsöån. Migration in Själsöån depends much on hydraulic conditions, such as an increase in water discharge, as observed elsewhere (Alm, 1950; Campbell, 1977; Elliott, 1987; Berg & Berg, 1989; Baglinière & Maisse, 2002). In the River Tweed, Scotland, the fish which had spent the longest period of time upstream were in the poorest condition (Campbell, 1977), just as in Själsöån.…”

Section: Discussionmentioning

confidence: 54%

“…Male and female brown trout Salmo trutta L. show alternative reproduction tactics (Campbell, 1977; Dellefors & Faremo, 1988; Berg & Berg, 1989; Garcia‐Vazquez et al ., 2001; Jonsson et al ., 2001). Moreover, some individuals are fully stream resident whereas some migrate from lake to stream, or from sea to stream (Campbell, 1977; Jonsson, 1985, 1989; Berg & Berg, 1989; Jonsson & Jonsson, 1993; Jonsson et al ., 2001; Baglinière & Maisse, 2002; Klemetsen et al ., 2003).…”

Section: Introductionmentioning

confidence: 99%

Spawning characteristics of the anadromous brown trout in a small Swedish stream

Rubin

Glimsäter

Järvi

2005

Journal of Fish Biology

View full text Add to dashboard Cite

The spawning pattern of the anadromous brown trout Salmo trutta was studied in Sja¨lso¨a˚n, a small stream in Gotland, Sweden, during eight winters between 1992-1993-2000. The total length (L T ) at spawning was normally distributed (185-890 mm) for females and multimodal for males (300, 400 and 550 mm most frequent length classes). Spawning males were significantly younger (2þ to 4þ years) than females (3þ to 5þ years). The sex-ratio at the beginning and at the end of the spawning season favoured males. The mean AE S.D. number of spawners was 70 AE 16 individuals per year. Migration into and out of the stream occurred between November and June. The highest number of spawning fish was found in the stream at the end of November or at the beginning of December. Migration mainly occurred during high water flow and at night. The majority of the females entered the stream and spawned the same (29Á3% of all the females) or the next night (32Á8% of all the females) while males may have stayed for 2 to 3 weeks (21Á3% of all the males) in the stream before spawning. Males usually remained much longer in the stream (mean AE S.D. 45 AE 56 days) than females (16 AE 30 days). Females lost more mass in the stream (mean AE S.D. 17Á3 AE 8Á6%) than males (7Á7 AE 9Á6%). For both sexes, mass loss was positively correlated with the time spent in the stream. Only 7Á3% of the males and 5Á7% of the females occurred in the stream for >1 year. Spawning took place only during the night. # 2005 The Fisheries Society of the British Isles

show abstract

Assessing population‐level effects of zinc exposure to brown trout (Salmo trutta) in the Arkansas River at Leadville, Colorado

Toll

Garber

DeForest

et al. 2012

Integr Envir Assess & Manag

View full text Add to dashboard Cite

We assessed population-level risk to upper Arkansas River brown trout (Salmo trutta L.) due to juvenile exposure to Zn. During spring, individuals in the sensitive young-of-the-year life stage are exposed to elevated Zn concentrations from acid mine drainage. We built and used a simple life-history population model for the risk assessment, with survival and fecundity parameter values drawn from published data on brown trout populations located in the United States and Europe. From experimental data, we derived a toxicity model to predict mortality in brown trout fry after chronic exposure to Zn. We tested sensitivity of risk estimates to uncertainties in the life-history parameters. We reached 5 conclusions. First, population projections are highly uncertain. A wide range of estimates for brown trout population growth is consistent with the scientific literature. The low end of this range corresponds to an unsustainable population, a physically unrealistic condition due to combining minimum parameter values from several studies. The upper end of the range corresponds to an annual population growth rate of 281%. Second, excess mortality from Zn exposure is relatively more predictable. Using our exposure-response model for excess mortality to brown trout fry due to Zn exposure in the upper Arkansas River at the mouth of California Gulch in the years 2000 to 2005, we derived a mean estimate of 6.1% excess mortality (90% confidence interval ¼ 1.6%-14.1%). Third, population projections are sensitive to all the parameters that contribute to the onset of reproduction. The weight of evidence suggests that young-of-the-year survival is most important; it is inconclusive about the ranking of other parameters. Fourth, population-level risk from Zn exposure is sensitive to young-of-the-year survival. If young-of-the-year survival exceeds 20% to 25%, then the marginal effect of excess juvenile mortality on population growth is low. The potential effect increases if youngof-the-year survival is less than 20%. Fifth, the effect of Zn on population growth is predictable despite high uncertainty in population projections. The estimate was insensitive to model uncertainties. This work could be useful to ecological risk assessors and managers interested in using population-level endpoints in other risk assessments. Integr Environ Assess Manag 2013;9:50-62. ß 2012 SETAC

show abstract

La biologie de la truite commune (Salmo trutta L.) dans la rivière Scorff, Bretagne : une synthèse des études de 1972 à 1997

Cited by 18 publications

References 20 publications

Population fluctuations, regulation and limitation in stream‐living brown trout

Population fluctuations, regulation and limitation in stream‐living brown trout

Spawning characteristics of the anadromous brown trout in a small Swedish stream

Assessing population‐level effects of zinc exposure to brown trout (Salmo trutta) in the Arkansas River at Leadville, Colorado

Contact Info

Product

Resources

About