Synchrony in brown trout, <i>Salmo trutta,</i> population dynamics: a ‘Moran effect’ on early‐life stages

Cattanéo, Franck; Hugueny, Bernard; Lamouroux, Nicolas

doi:10.1034/j.1600-0706.2003.11912.x

Cited by 74 publications

(124 citation statements)

References 54 publications

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“…Once age-class strength was determined, densities of several subsequent age-classes could be predicted with reasonable accuracy. Hydrologic influences on brown trout year-class strength have been observed mostly in high-gradient, mountainous streams in the United States and Europe (e.g., Strange et al 1992;Nehring and Anderson 1993;Spina 2001;Cattanéo et al 2002Cattanéo et al , 2003Lobón-Cerviá 2004;Lobón-Cerviá and Rincón 2004). Aside from our study and Nuhfer et al's (1994) study on the South Branch Au Sable River, such relationships have not been noted for low-gradient trout streams in glaciated Midwestern states.…”

Section: Regional Influences On Population Dynamicssupporting

confidence: 52%

Influences on Brown Trout and Brook Trout Population Dynamics in a Michigan River

Zorn

Nuhfer

2007

Trans Am Fish Soc

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Abstract.-Understanding the influences of local and regional processes on the dynamics of self-sustaining trout populations would help fishery biologists better manage trout populations and protect rivers supporting trout. We explored hypotheses behind long-term temporal variation in density, growth, and survival of brown trout Salmo trutta and brook trout Salvelinus fontinalis using data collected over several decades on Michigan's Au Sable River. Regression models developed for these species emphasized the influence of yearclass strength on older age-classes, year-class strength being positively related to spawner abundance for both species and negatively related to high spring streamflow conditions for brown trout. Age-class density was also positively associated with high levels of large woody debris (LWD) in streams. Annual growth increments of brown trout and brook trout were often negatively related to increased age-class density and LWD and positively affected by elevated total phosphorus levels, cool summers, and warm winters. Annual survival of trout from age 0 to age 4 was negatively related to intra-and interspecific age-class density, and in three of seven models, positively associated with levels of LWD. Our findings emphasize the importance of year-class strength to trout population dynamics as well as the need to include collection of regional-and local-scale habitat data in studies of trout population dynamics.

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Section: Regional Influences On Population Dynamicssupporting

confidence: 52%

Influences on Brown Trout and Brook Trout Population Dynamics in a Michigan River

Zorn

Nuhfer

2007

Trans Am Fish Soc

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“…Hydrologic influences on brown trout year-class strength have been observed previously in Michigan (Nuhfer et al 1994) as well as in other states and European countries (e.g., Strange et al 1992;Cattanéo et al 2002Cattanéo et al , 2003Lobón-Cerviá 2004;Lobón-Cerviá and Rincón 2004). Nehring and Anderson (1993) found that variable recruitment of age-0 brown trout and rainbow trout Oncorhynchus mykiss in 10 Colorado streams over a 13-year period was largely attributable to variation in mean monthly discharge Spina (2001) observed an inverse relationship between peak discharge during incubation and density of age-0 brown trout in a highgradient California stream, along with carryover of relative year-class strength to older age-groups.…”

Section: Synchrony Of Trout Population Dynamicsmentioning

confidence: 58%

Regional Synchrony of Brown Trout and Brook Trout Population Dynamics among Michigan Rivers

Zorn

Nuhfer

2007

Trans Am Fish Soc

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Abstract.-The ability to describe regional patterns in trout density would be useful for biologists concerned with population status across large regions as well as managers of rivers at the local scale. Noting the importance of flow conditions at the time of emergence to trout year-class strength in Michigan streams and the influence of age-0 trout abundance on subsequent abundance of older age-classes, we assessed the potential for regional synchrony in the population dynamics of brown trout Salmo trutta and brook trout Salvelinus fontinalis among Michigan rivers. We used correlation analyses to look for regional synchrony in May stream discharge (approximating the time of brown trout fry emergence) and fall trout density among many Michigan trout streams. We found a high degree of synchrony in average May discharge among streams, particularly those in the northern portion of Michigan's Lower Peninsula. There were significant correlations in the long-term densities of brown trout and brook trout year-classes among several rivers in this area, including sites up to 140 km apart and rivers draining into different Great Lakes. Predicted numbers of days to 50% swim-up of brown trout fry were similar among four streams and synchronous, further supporting the hypothesis of synchrony in trout population dynamics in Michigan streams at the regional scale. Long-term trout population estimates and streamflow data collected from a network of long-term index (fixed) sites throughout Michigan will aid in further description of the spatial extent of synchrony in trout populations.

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“…Spatial synchrony in population dynamics (Kendall et al 2000;Engen et al 2002) has been reported for a wide variety of animal species including insects (Hanski & Woiwod 1993;Williams & Liebhold 2000;Bjornstad et al 2002;Peltonen et al 2002), feral sheep on islands (Grenfell et al 1998), Svalbard reindeer (Aanes et al 2003), caribou and musk oxen (Post & Forchhammer 2002), muskrat and mink across Canada (Haydon et al 2001), grouse in Italy (Cattadori et al 2000), freshwater fishes (Cattaneo et al 2003), sea turtles (Chaloupka 2001) and diseases in towns (Bolker & Grenfell 1996). Regionally correlated climatic factors like rainfall, drought or extremes of winter temperature are also postulated as causing large-scale synchrony in the fluctuations of populations of short-lived plants (Hopkins 1978;Dunnett et al 1998;Coomes et al 2002) and synchronized time of flowering in several plant species over distances of up to 500 km (Post 2003).…”

Section: Introductionmentioning

confidence: 98%

Spatially structured population dynamics in feral oilseed rape

Crawley

Brown

2004

Proc. R. Soc. Lond. B

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We studied the population dynamics of feral oilseed rape (Brassica napus) for 10 years (1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002) in 3658 adjacent permanent 100 m quadrats in the verges of the M25 motorway around London, UK. The aim was to determine the relative importance of different factors affecting the observed temporal patterns of population dynamics and their spatial correlations. A wide range of population dynamics was observed (downward or upward trends, cycles, local extinctions and recolonizations), but overall the populations were not self-replacing (k < 1). Many quadrats remained unoccupied throughout the study period, but a few were occupied at high densities for all 10 years. Most quadrats showed transient oilseed rape populations, lasting 1-4 years.There were strong spatial patterns in mean population density, associated with soil conditions and the successional age of the plant community dominating the verge, and these large-scale spatial patterns were highly consistent from year to year. The importance of seed spilled from trucks in transit to the processing plant at Erith in Kent was confirmed: rape populations were significantly higher on the 'to Erith' verge than the 'from Erith' verge (overall mean 2.83-fold greater stem density). Quadrats in which k > 1 were much more frequent in the 'to Erith' verge, indicating that seed immigration can give the spurious impression of self-replacing population dynamics in time-series analysis.There was little evidence of a pervasive Moran effect, and climatic forcing did not produce widespread large-scale synchrony in population dynamics for the motorway as a whole; just 23% of quadrats had significant rank correlations with the mean time-series. There was, however, significant local spatial synchrony of population dynamics, apparently associated with soil disturbance and seed input. This study draws attention to the possibility that different processes may impose population synchrony at different scales. We hypothesize that synchrony in this system is driven by at least three processes: small-scale, local forcing caused by soil disturbance, intermediate-scale forcing as a result of seed input, and large-scale climatic forcing (e.g. winter rainfall) that affects the motorway as a whole.

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Synchrony in brown trout, Salmo trutta, population dynamics: a ‘Moran effect’ on early‐life stages

Cited by 74 publications

References 54 publications

Influences on Brown Trout and Brook Trout Population Dynamics in a Michigan River

Influences on Brown Trout and Brook Trout Population Dynamics in a Michigan River

Regional Synchrony of Brown Trout and Brook Trout Population Dynamics among Michigan Rivers

Spatially structured population dynamics in feral oilseed rape

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