Describing historical habitat use of a native fish—Cisco (Coregonus artedi)—in Lake Michigan between 1930 and 1932

Kao, Yu‐Chun; Bunnell, David B.; Eshenroder, Randy L.; Murray, Devin N.

doi:10.1371/journal.pone.0231420

Cited by 6 publications

(12 citation statements)

References 48 publications

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“…Similarly, Koelz [15] reported that Cisco was rarely caught in waters with bottom depths >45 m in the 1920s. Likewise, our previous study [68] showed that Cisco abundance in Lake Michigan in the 1930s could be very low throughout the year in waters with bottom depths >70 m. In contrast to these historical data, the R/V Cisco surveys found that Cisco could be abundant in very-deep waters (>150 m bottom depths) in summer and fall. This conundrum may be explained by changes in the Cisco populations in the main basin of Lake Michigan from the early twentieth century [15,68] to our study period, 1952-1962.…”

Section: Plos Onementioning

confidence: 73%

“…This method has proven capable of generating predictive maps as accurate as traditional geostatistical (kriging) methods [66,67]. We have used this method, too, in a previous study [68] to describe historical distribution of Cisco in Lake Michigan based on similar gill-net data collected in the 1930s [69].…”

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

“…We denoted our GAMs as Lake Superior, Lake Michigan, and Saginaw Bay as they were developed to generate maps of predicted Cisco CPUE in these waterbodies. We hypothesized that predicted Cisco CPUE and resultant distributions in the upper Great Lakes in the study period 1952-1962 were affected by fishing effort, season, bottom depth, and location, as they were shown to be important in our previous study on Cisco distribution in Lake Michigan in the 1930s [68]. Therefore, we used a backward-selection approach to determine the final predictors in each GAM, by starting with developing full models to include all potential predictors that could be derived from our data.…”

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

“…The first group of predictors were for fishing effort adjustment specific to the gill-net fishing method used in the lake. The second group of predictors were for Cisco spatiotemporal distribution used in the selected GAM from the previous study [68]. For example, our Lake Superior full model was expressed as…”

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

“…We used the package "mgcv" version 1.8-36 [70] in R version 4.1.0 [71] for our GAM fitting and model selection. Following our previous study [68], we used the thin-plate regression spline as the smoothing basis, set the Gaussian-process smoothing function s g (Lat, Lon) to have a spherical correlation structure in which spatial auto-correlation was precluded if two points were separated by >90 km, and estimated parameters and smoothing functions by using the restricted-maximum-likelihood method for all GAMs. Refer to Wood [65] for the details about GAM fitting and tests of significance.…”

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

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Distributions of Cisco (Coregonus artedi) in the upper Great Lakes in the mid-twentieth century, when populations were in decline

et al. 2022

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The restoration of the once abundant Cisco (Coregonus artedi) is a management interest across the Laurentian Great Lakes. To inform the restoration, we (1) described historical distributions of Cisco and (2) explored whether non-indigenous Rainbow Smelt (Osmerus mordax) and Alewife (Alosa pseudoharengus) played a role in the decline of Cisco populations across the upper Great Lakes (i.e., Lakes Superior, Michigan, and Huron). Our source data were collected from fishery-independent surveys conducted by the U.S. Fish and Wildlife Service’s research vessel R/V Cisco in 1952–1962. By analyzing data collected by gill-net surveys, we confirmed the importance of embayment and shallow-water habitats to Cisco. We found that Cisco was abundant in Whitefish Bay and Keweenaw Bay, Lake Superior, and in Green Bay, Lake Michigan, but we also found a sign of Cisco extirpation in Saginaw Bay, Lake Huron. Our results also showed that Ciscoes generally stayed in waters <80 m in bottom depth throughout the year. However, a substantial number of Ciscoes stayed in very deep waters (>150 m in bottom depth) in summer and fall in Lake Michigan, although we cannot exclude the possibility that these Ciscoes had hybridized with the other Coregonus species. By comparing complementary data collected from bottom-trawl surveys, we concluded that the spatiotemporal overlap between Rainbow Smelt and Cisco likely occurred across the upper Great Lakes throughout 1952–1962. These data were consistent with the hypothesis that Rainbow Smelt played a role in the decline of Cisco populations across the upper Great Lakes in the period. We also found that the spatiotemporal overlap between Alewife and Cisco likely occurred only in Saginaw Bay in fall 1956 and in Lake Michigan after 1960. Thus, any potential recovery of Cisco after the 1950s could have been inhibited by Alewife in Lakes Michigan and Huron.

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Section: Plos Onementioning

confidence: 73%

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

Section: Modeling Gill-net Cisco Catchmentioning

confidence: 99%

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Distributions of Cisco (Coregonus artedi) in the upper Great Lakes in the mid-twentieth century, when populations were in decline

et al. 2022

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Predicting responses to climate change using a joint species, spatially dependent physiologically guided abundance model

Custer,

North,

Schliep

et al. 2024

Ecology

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Predicting the effects of warming temperatures on the abundance and distribution of organisms under future climate scenarios often requires extrapolating species–environment correlations to climatic conditions not currently experienced by a species, which can result in unrealistic predictions. For poikilotherms, incorporating species' thermal physiology to inform extrapolations under novel thermal conditions can result in more realistic predictions. Furthermore, models that incorporate species and spatial dependencies may improve predictions by capturing correlations present in ecological data that are not accounted for by predictor variables. Here, we present a joint species, spatially dependent physiologically guided abundance (jsPGA) model for predicting multispecies responses to climate warming. The jsPGA model uses a basis function approach to capture both species and spatial dependencies. We apply the jsPGA model to predict the response of eight fish species to projected climate warming in thousands of lakes in Minnesota, USA. By the end of the century, the cold‐adapted species was predicted to have high probabilities of extirpation across its current range—with 10% of lakes currently inhabited by this species having an extirpation probability >0.90. The remaining species had varying levels of predicted changes in abundance, reflecting differences in their thermal physiology. Though the model did not identify many strong species dependencies, the variation in estimated spatial dependence across species suggested that accounting for both dependencies was important for predicting the abundance of these fishes. The jsPGA model provides a new tool for predicting changes in the abundance, distribution, and extirpation probability of poikilotherms under novel thermal conditions.

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Reconciling zoogeography and genetics: Origins of deepwater Cisco Coregonus artedi (sensu lato) in the Great Lakes

Eshenroder,

Breckenridge,

Jacobson

2023

Trans Am Fish Soc

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ObjectiveWe propose that deepwater Cisco Coregonus artedi (sensu lato) survived Wisconsin ice advances through introgression with shallow‐water Cisco ~65 ka followed by expression of introgressed genomic fragments after the last retreat of ice from the Great Lakes ~15 ka.MethodsWe reviewed Wisconsin glaciation in relation to putative introgression within Cisco and employed a phylogeographic approach to substantiate locations of Cisco refugia and the implications for dispersal of Cisco ahead of the last advance of Wisconsin ice.ResultsWe showed that deepwater Cisco, in contrast to shallow‐water Cisco, were very unlikely to have survived glacial advances and that a massive introgression event between both types likely occurred as the first of two Wisconsin ice advances reached the Great Lakes ~65 ka.ConclusionThe most‐parsimonious explanation for the distribution of deepwater Cisco involves long‐ago introgression as a precursor to its divergence from shallow‐water Cisco following the final retreat of Wisconsin ice.

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Describing historical habitat use of a native fish—Cisco (Coregonus artedi)—in Lake Michigan between 1930 and 1932

Cited by 6 publications

References 48 publications

Distributions of Cisco (Coregonus artedi) in the upper Great Lakes in the mid-twentieth century, when populations were in decline

Distributions of Cisco (Coregonus artedi) in the upper Great Lakes in the mid-twentieth century, when populations were in decline

Predicting responses to climate change using a joint species, spatially dependent physiologically guided abundance model

Reconciling zoogeography and genetics: Origins of deepwater Cisco Coregonus artedi (sensu lato) in the Great Lakes

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