Factors influencing landslide occurrence in low-relief formerly glaciated landscapes: landslide inventory and susceptibility analysis in Minnesota, USA

Laura D. Triplett (), Morena N. Hammer, Stephen B. DeLong, Karen B. Gran, Carrie E. Jennings, Zachary T. Engle, Julie K. Bartley, Dylan J. Blumentritt, Andy J. Breckenridge, Stephanie Day, Melissa A. Kohout, Phil H. Larson, Jeni A. McDermott and Emilie M. Richard
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Laura D. Triplett: Gustavus Adolphus College
Morena N. Hammer: U.S. Geological Survey
Stephen B. DeLong: U.S. Geological Survey
Karen B. Gran: University of Minnesota Duluth
Carrie E. Jennings: University of Minnesota
Zachary T. Engle: U.S. Geological Survey
Julie K. Bartley: Gustavus Adolphus College
Dylan J. Blumentritt: Winona State University
Andy J. Breckenridge: University of Wisconsin-Superior
Stephanie Day: North Dakota State University
Melissa A. Kohout: Minnesota State University Mankato
Phil H. Larson: Minnesota State University Mankato
Jeni A. McDermott: University of St. Thomas
Emilie M. Richard: University of Minnesota Duluth

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 10, No 20, 11799-11827

Abstract: Abstract In landscapes recently impacted by continental glaciation, landslides may occur where topographic relief has been generated by the drainage of glacial lakes and ensuing post-glacial fluvial network development into unconsolidated glacially derived sediments and exhumed bedrock. To investigate linkages among environmental variables, post-glacial landscape development, and landslides, we created a landslide inventory of nearly 10,000 landslides in five regions of the formerly glaciated low-relief state of Minnesota, United States. Multivariate logistic regression indicates the importance of slope angle, lithology, and the development of stream valleys to landslide distribution. Areas underlain by fine-grained glaciolacustrine and nearshore deposits that are incised by streams are particularly prone to shallow (

Keywords: Landslide inventory; Susceptibility model; Post-glacial landscape; Minnesota; Quaternary sediments; Low relief (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11069-025-07262-8

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