Journal
LIMNOLOGY AND OCEANOGRAPHY
Volume 62, Issue 5, Pages 2168-2178Publisher
WILEY
DOI: 10.1002/lno.10557
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Funding
- Department of Interior North East Climate Science Center [DEB-0822700]
- Wisconsin Department of Natural Resources Federal Aid in Sport Fish Restoration [F-95-P]
- Direct For Biological Sciences
- Division Of Environmental Biology [1440297] Funding Source: National Science Foundation
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Responses in lake temperatures to climate warming have primarily been characterized using seasonal metrics of surface-water temperatures such as summertime or stratified period average temperatures. However, climate warming may not affect water temperatures equally across seasons or depths. We analyzed a long-term dataset (1981-2015) of biweekly water temperature data in six temperate lakes in Wisconsin, U.S.A. to understand (1) variability in monthly rates of surface- and deep-water warming, (2) how those rates compared to summertime average trends, and (3) if monthly heterogeneity in water temperature trends can be predicted by heterogeneity in air temperature trends. Monthly surface- water temperature warming rates varied across the open-water season, ranging from 0.013 in August to 0.0738 degrees C yr(-1) in September (standard deviation [SD]: 0.0258 degrees C yr(-1)). Deep-water trends during summer varied less among months (SD: 0.0068 degrees C yr(-1)), but varied broadly among lakes (-0.0568 degrees C yr(-1) to 0.0358 degrees C yr(-1), SD: 0.0348 degrees C yr(-1)). Trends in monthly surface- water temperatures were well correlated with air temperature trends, suggesting monthly air temperature trends, for which data exist at broad scales, may be a proxy for seasonal patterns in surface- water temperature trends during the open water season in lakes similar to those studied here. Seasonally variable warming has broad implications for how ecological processes respond to climate change, because phenological events such as fish spawning and phytoplankton succession respond to specific, seasonal temperature cues.
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