Initial insights on the thermal ecology of lake whitefish in northwestern Lake Michigan
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Abstract
Lake whitefish Coregonus clupeaformis are a native coldwater species supporting important recreational and commercial fisheries in the Laurentian Great Lakes. Climate-related changes in water temperature may have important implications for the future sustainability of these fisheries. However, projecting future habitat availability is difficult because limited information is available on lake whitefish thermal ecology in the region. In this study, archival temperature loggers were implanted into 400 lake whitefish from northwestern Lake Michigan, including Green Bay, during October–November 2017. Loggers recorded temperature for 11 months at 4-hr intervals. Thirteen recovered temperature loggers were used in analyses. In winter (1 December–31 March), temperatures occupied by lake whitefish ranged from 0 to 8.0 °C, while in spring (1 April–31 May) temperatures ranged from 0 to 20.0 °C. In summer (1 June–15 September) and fall (16 September–7 November), lake whitefish occupied temperatures of 4–21.5 and 4–21.0 °C, respectively. Average temperatures in summer (10.8 °C) were within the previously proposed optimal temperature range (10–14 °C) and broad thermal niche (7–17 °C); however, 58% of observations were outside the optimal temperature range and 11% of observations were outside the broad thermal niche. Our results suggest that lake whitefish from northwestern Lake Michigan inhabit temperatures both above and below previously reported expected temperature ranges. This study provides initial insights on lake whitefish thermal ecology in Lake Michigan and can be used as a baseline for future work aimed at determining how lake whitefish habitat availability may change in the future.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Initial insights on the thermal ecology of lake whitefish in northwestern Lake Michigan |
Series title | Journal of Great Lakes Research |
DOI | 10.1016/j.jglr.2023.03.002 |
Volume | 49 |
Issue | 3 |
Year Published | 2023 |
Language | English |
Publisher | Elsevier |
Contributing office(s) | Coop Res Unit Leetown |
Description | 10 p. |
First page | 757 |
Last page | 766 |
Country | United States |
State | Wisconsin |
Other Geospatial | Green Bay |
Google Analytic Metrics | Metrics page |