Status report on fluvial arctic grayling (Thymallus arcticus) in Montana

Kaya, Calvin M.; Montana.,

doi:10.5962/bhl.title.68245

Cited by 21 publications

(53 citation statements)

References 19 publications

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“…In addition, Armstrong and his colleagues also assembled an indexed bibliography on the genus Thymallus, covering 1314 references to (Armstrong et al, 1986. Kaya (1990) reviewed the status of fluvial Arctic grayling in Montana. Blackman (1992a) compiled a summary of literature related to Arctic grayling management in north-eastern British Columbia, and Northcote (1993) reviewed management and enhancement options there with special reference to the Williston Reservoir watershed.…”

Section: The Grayling Literaturementioning

confidence: 99%

“…Thus in a population spawning in a tributary near the mouth of Great Slave Lake in the Northwest Territories, fecundity ranged from 6475 to 16 887 eggs per kg body weight (Falk et al, 1982). It averaged about 10915 eggs per kg body weight for females in a population successfully introduced into an alpine Washington lake (Beauchamp, 1981), with slightly higher values for Montana (Kaya, 1990) and Alberta populations (Ward, 1951). In general, egg size of European grayling seems to be larger than that of Arctic grayling, ranging from 2.5 mm in Yugoslavia up to 3.5 mm or higher elsewhere (Jankovi6, 1964), and stabilizing at about 4.0 mm after fertilization (Carmie et al, 1985).…”

Section: Egg Size and Fecunditymentioning

confidence: 99%

“…3) near Williston Reservoir (Stuart and Chislett, 1979) have a similar maturation age to those in Adsett Creek, Liard drainage, where a few reach sexual maturity at age 3, about a quarter at age 4 and all by age 5 (Stewart et al, 1982). The onset of sexual maturity may occur as early as 2 years in some Montana populations (Kaya, 1990), and in the Tanana drainage of central Alaska (Clark, 1992a). Usually it starts at age 3 (Miller, 1946 -Great Bear Lake) or later, for example 5-9 years in some northern Alaska systems (Craig and Poulin, 1975;Armstrong, 1986) or 9-11 years in north-eastern Asia (Skopets and Prokop'yev, 1990;Skopets, 1991).…”

Section: Age At Maturitymentioning

confidence: 99%

“…Spawning is somewhat earlier in Montana populations, usually in late April to early May (Shepard and Oswald, 1990), probably because of the earlier arrival of spring temperatures. Other Montana lake populations, dependent on stream temperature conditions, may spawn later in the season, some as late as July (Kaya, 1990).…”

Section: Spawning Season and Conditionsmentioning

confidence: 99%

“…Interior Alaska populations usually spawned in stream riffles with "pea-sized" gravel (Warner, 1955), though in the Chena River there was a large range (0.075 to 3.1 mm) in particle size of spawning gravel (Tack, 1973). Further details on spawning bottom material composition for Montana grayling populations are given by Kaya (1990) and by Shepard and Oswald (1990). European grayling in Britain spawn in fine gravel shallows with moderate current (Gardiner, 1992;Maitland and Campbell, 1992).…”

Section: Spawning Habitatmentioning

confidence: 99%

See 4 more Smart Citations

Comparative biology and management of Arctic and European grayling (Salmonidae, Thymallus)

Northcote¹

1995

Rev Fish Biol Fisheries

158

175

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Section: The Grayling Literaturementioning

confidence: 99%

Section: Egg Size and Fecunditymentioning

confidence: 99%

Section: Age At Maturitymentioning

confidence: 99%

Section: Spawning Season and Conditionsmentioning

confidence: 99%

Section: Spawning Habitatmentioning

confidence: 99%

See 3 more Smart Citations

Comparative biology and management of Arctic and European grayling (Salmonidae, Thymallus)

Northcote¹

1995

Rev Fish Biol Fisheries

158

175

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Quantifying stream thermal regimes at multiple scales: Combining thermal infrared imagery and stationary stream temperature data in a novel modeling framework

2015

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Accurately quantifying stream thermal regimes can be challenging because stream temperatures are often spatially and temporally heterogeneous. In this study, we present a novel modeling framework that combines stream temperature data sets that are continuous in either space or time. Specifically, we merged the fine spatial resolution of thermal infrared (TIR) imagery with hourly data from 10 stationary temperature loggers in a 100 km portion of the Big Hole River, MT, USA. This combination allowed us to estimate summer thermal conditions at a relatively fine spatial resolution (every 100 m of stream length) over a large extent of stream (100 km of stream) during the warmest part of the summer. Rigorous evaluation, including internal validation, external validation with spatially continuous instream temperature measurements collected from a Langrangian frame of reference, and sensitivity analyses, suggests the model was capable of accurately estimating longitudinal patterns in summer stream temperatures for this system (validation RMSEs < 1 C). Results revealed considerable spatial and temporal heterogeneity in summer stream temperatures and highlighted the value of assessing thermal regimes at relatively fine spatial and temporal scales. Preserving spatial and temporal variability and structure in abiotic stream data provides a critical foundation for understanding the dynamic, multiscale habitat needs of mobile stream organisms. Similarly, enhanced understanding of spatial and temporal variation in dynamic water quality attributes, including temporal sequence and spatial arrangement, can guide strategic placement of monitoring equipment that will subsequently capture variation in environmental conditions directly pertinent to research and management objectives.

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Evaluating Remote Site Incubators in Michigan Streams: Implications for Arctic Grayling Reintroduction

Mock

Ruetz

McNair

et al. 2021

N American J Fish Manag

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The successful use of remote site incubators (RSIs) to rear eggs of Arctic Grayling Thymallus arcticus along Montana streams has sparked interest in reestablishing the species in Michigan. As a preparatory step, we assessed the efficacy of RSIs by deploying them along three Michigan streams during 2 years using surrogate eggs from Rainbow Trout Oncorhynchus mykiss. Our objectives were to (1) compare hatching success between two different RSI designs (19-L versus 265-L RSIs), (2) test whether the removal of dead eggs ("picking") from 19-L RSIs affected hatching success, and (3) develop a simple model to predict fry yield and its uncertainty. Overall survival was 41.3% in 2018 and 52.4% in 2019. Differences in survival between unpicked 19-L and 265-L RSIs tended to be small, with mean differences from 4.82% (95% CI = -0.60 to +10.25) in 2018 to 0.08% (95% CI = -0.14 to +0.30) in 2019. On average, picked 19-L RSIs had greater, although not always statistically significant, survival than unpicked 19-L RSIs during both years (mean difference = 1.6% [2018] and 10.4% [2019]). We documented a significant positive correlation between survival and RSI flow rate. Survival abruptly declined in unpicked 19-L RSIs when RSI flow rates dropped below~0.3 L/min, suggesting that removing dead eggs from 19-L RSIs likely increased survival when RSI flow rates were <0.3 L/min. The most notable result from our fry yield model was that increasing the number of RSIs reduced the coefficient of variation in fry yield following a pattern of diminishing returns, suggesting two or three RSIs usually will be a good choice. We showed that 19-L and 265-L RSIs can be used successfully in Michigan streams, with our model providing a tool for managers to explore the relative importance of several properties of RSI design and operation on fry yield and uncertainty.

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Status report on fluvial arctic grayling (Thymallus arcticus) in Montana

Cited by 21 publications

References 19 publications

Comparative biology and management of Arctic and European grayling (Salmonidae, Thymallus)

Comparative biology and management of Arctic and European grayling (Salmonidae, Thymallus)

Quantifying stream thermal regimes at multiple scales: Combining thermal infrared imagery and stationary stream temperature data in a novel modeling framework

Evaluating Remote Site Incubators in Michigan Streams: Implications for Arctic Grayling Reintroduction

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