Modeling Variation in Mass-Length Relations and Condition Indices of Lake Trout and Chinook Salmon in Lake Huron: A Hierarchical Bayesian Approach

2008 ◽  
Vol 137 (3) ◽  
pp. 801-817 ◽  
Author(s):  
Ji X. He ◽  
James R. Bence ◽  
James E. Johnson ◽  
David F. Clapp ◽  
Mark P. Ebener
Keyword(s):  
Bayesian Approach ◽  
Chinook Salmon ◽  
Lake Trout ◽  
Lake Huron ◽  
Hierarchical Bayesian ◽  
Condition Indices

scholarly journals Using time-varying asymptotic length and body condition of top piscivores to indicate ecosystem regime shift in the main basin of Lake Huron: a Bayesian hierarchical modeling approach

2016 ◽  
Vol 73 (7) ◽  
pp. 1092-1103 ◽  
Author(s):  
Ji X. He ◽  
James R. Bence ◽  
Edward F. Roseman ◽  
David G. Fielder ◽  
Mark P. Ebener
Keyword(s):  
Body Mass ◽  
Body Condition ◽  
Chinook Salmon ◽  
Regime Shift ◽  
Lake Trout ◽  
Growth Potential ◽  
Lake Huron ◽  
Time Varying ◽  
Bayesian Hierarchical ◽  
Main Basin

We evaluated the ecosystem regime shift in the main basin of Lake Huron that was indicated by the 2003 collapse of alewives (Alosa pseudoharengus) and dramatic declines in Chinook salmon (Oncorhynchus tshawytscha) abundance thereafter. We found that the period of 1995–2002 should be considered as the early phase of the final regime shift. We developed two Bayesian hierarchical models to describe time-varying growth based on the von Bertalanffy growth function and the length–mass relationship. We used asymptotic length as an index of growth potential and predicted body mass at a given length as an index of body condition. Modeling fits to length and body mass at age of lake trout (Salvelinus namaycush), Chinook salmon, and walleye (Sander vitreus) were excellent. Based on posterior distributions, we evaluated the shifts in among-year geometric means of the growth potential and body condition. For a given top piscivore, one of the two indices responded to the regime shift much earlier than the 2003 collapse of alewives, the other corresponded to the 2003 changes, and which index provided the early signal differed among the three top piscivores.

Occurrence of the eyefluke, Diplostomum (Diplostomum) baeri bucculentum Dubois et Rausch, 1948, in salmonid fishes of northern British Columbia

1985 ◽  
Vol 63 (2) ◽  
pp. 396-399 ◽  
Author(s):  
Hilda Lei Ching
Keyword(s):  
Rainbow Trout ◽  
Chinook Salmon ◽  
Sockeye Salmon ◽  
Lake Trout ◽  
Infected Fish ◽  
Salmo Gairdneri ◽  
Coregonus Clupeaformis ◽  
Lake Whitefish ◽  
Dolly Varden Salvelinus Malma ◽  
Prosopium Williamsoni

As a result of experimental infections in chicks, diplostomula found in the retina of chinook salmon from the Nechako River were identified as Diplostomum (Diplostomum) baeri bucculentum. Eyeflukes in other salmonids were considered to be the same species based on similar measurements and site in the eyes. These eyeflukes varied in prevalence and mean intensity in seven salmonid species surveyed in nine localities in 1979–1981. The following fish were sampled: rainbow trout (Salmo gairdneri), 505; mountain whitefish (Prosopium williamsoni), 334; lake whitefish (Coregonus clupeaformis), 32; Dolly Varden (Salvelinus malma), 66; lake trout (S. namaycush), 13; kokanee or sockeye salmon (Oncorhynchus nerka), 323; and chinook salmon (O. tshawytscha), 164. Eyeflukes had prevalences ranging from 84 to 100% in six lakes, 64% in the river, 53% in one reservoir site, and a prevalence of 15% in the other reservoir site. Mountain and lake whitefishes had high mean intensities while kokanee had low mean intensities. Correlation of increased intensity with increased fish size was significant for 6 of 27 samples. Four samples of lake whitefish, mountain whitefish, rainbow trout, and chinook salmon showed significant asymmetry when numbers of diplostomula were compared between eyes. More of the heavily infected fish showed asymmetry than did the lightly infected fish.

Cross-basin comparison of mercury bioaccumulation in Lake Huron lake trout emphasizes ecological characteristics

2014 ◽  
Vol 34 (2) ◽  
pp. 355-359 ◽  
Author(s):  
Rachel A. Abma ◽  
Gordon Paterson ◽  
Anne McLeod ◽  
G. Doug Haffner
Keyword(s):  
Lake Trout ◽  
Lake Huron ◽  
Ecological Characteristics ◽  
Mercury Bioaccumulation

A hierarchical Bayesian approach for multi‐site optimization of a satellite‐based evapotranspiration model

2018 ◽  
Vol 32 (26) ◽  
pp. 3907-3923 ◽  
Author(s):  
Yonghong Su ◽  
Qi Feng ◽  
Gaofeng Zhu ◽  
Chunjie Gu ◽  
Yunquan Wang ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Hierarchical Bayesian

scholarly journals A Hierarchical Bayesian Approach to Ecological Count Data: A Flexible Tool for Ecologists

PLoS ONE ◽  
2011 ◽  
Vol 6 (11) ◽  
pp. e26785 ◽  
Author(s):  
James A. Fordyce ◽  
Zachariah Gompert ◽  
Matthew L. Forister ◽  
Chris C. Nice
Keyword(s):  
Bayesian Approach ◽  
Count Data ◽  
Hierarchical Bayesian ◽  
Flexible Tool

The Thermal Regime of South Bay, Manitoulin Island

1967 ◽  
Vol 24 (1) ◽  
pp. 101-125 ◽  
Author(s):  
A. M. McCombie
Keyword(s):  
Thermal Regime ◽  
Thermal Stratification ◽  
Yellow Perch ◽  
Lake Trout ◽  
Smallmouth Bass ◽  
Lake Huron ◽  
Vertical Temperature ◽  
Class Strength ◽  
Influence Of Temperature On ◽  
History Of

The thermal regime of South Bay is described from records collected from 1953 to 1962 with thermometers, thermographs, and bathythermographs, the last being cast at 11 stations along the bay and one in Lake Huron. Warming begins in April and thermal stratification is established in June. Shallow areas warm more rapidly than deep in the spring and cool more quickly in autumn. The boundary between the epilimnion and the thermocline becomes sharper as summer advances but the transition from thermocline to hypolimnion remains gradual. The average seasonal trend of surface temperatures is a sine function with a maximum of 66 F in mid August and a minimum of 34 F in late March, though values outside this range occur frequently. At 180 ft the maximum of 47 F is attained in November. At the lake and outermost bay stations there is a temperature slump in June and July which may be due to an upwelling in the lake. Evidence of an exchange of water between the lake and bay is seen in vertical temperature sections and water movements Variations in epilimnial temperatures are correlated with those of the air temperature, but variations in epilimnial and hypolimnial temperatures appear to be unrelated. Finally, literature describing the influence of temperature on the year class strength of smallmouth bass, the distribution of lake trout, the growth of yellow perch, and the life history of Pontoporeia in South Bay is reviewed.

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