In recent decades, lakes have experienced unprecedented ice loss with widespread ramifications for winter ecological processes. The rapid loss of ice, resurgence of winter biology, and proliferation of remote sensing technologies, presents a unique opportunity to integrate disciplines to further understand the broad spatial and temporal patterns in ice loss and its consequences. Here, we summarize ice phenology records for 78 lakes in 12 countries across North America, Europe, and Asia to permit the inclusion and harmonization of in situ ice phenology observations in future interdisciplinary studies. These ice records represent some of the longest climate observations directly collected by people. We highlight the importance of applying the same definition of ice-on and ice-off within a lake across the time-series, regardless of how the ice is observed, to broaden our understanding of ice loss across vast spatial and temporal scales.
Bibliographical noteFunding Information:
We thank all of the past data contributors to the ice phenology dataset without whom this compilation would not be possible, not exclusive to the Mohonk Mountain House and Mohonk Preserve including Dan Smiley, Paul Huth, Daniel Smiley Research Center staff, citizen scientists in the Climate Trackers program, the Lake Stewards of Maine, Tom Hoverstad, Paulette Janssen, Joseph Norton, Tom Skramstad, and Larry Smisek. SS thanks the Natural Sciences and Engineering Research Council Discovery Grant, Ontario Ministry of Innovation and Science Early Researcher Award, and the York University Research Chair program for funding to support this research. GAW received financial support from the Swedish Research Council (VR Grant No. 2020-03222 and FORMAS Grant No. 2020-01091). Lake Baikal data were supported by the Limnological Institute, SB RAS project 0279-2021-0004. The first compilation of these data and LIAG were funded with a grant to the Center for Limnology at the University of Wisconsin-Madison by the US National Science Foundation (Long-Term Ecological Research Program in the Division of Environmental Biology through grants DEB9632853 and DEB9416810). Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. We thank Gavin Simpson and two anonymous reviewers for their constructive comments that improved the manuscript. This work was supported by the Global Lake Ecological Observatory Network.
© 2022, The Author(s).
PubMed: MeSH publication types
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