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Glacial isostatic adjustment deflects the path of the ancestral Hudson River

  • Quantifying the pace of ice-sheet growth is critical to understanding ice-age climate and dynamics. Here, we show that the diversion of the Hudson River (northeastern North America) late in the last glaciation phase (ca. 30 ka), which some previous studies have speculated was due to glacial isostatic adjustment (GIA), can be used to infer the timing of the Laurentide Ice Sheet’s growth to its maximum extent. Landscapes in the vicinity of glaciated regions have likely responded to crustal deformation produced by ice-sheet growth and decay through river drainage reorganization, given that rates of uplift and subsidence are on the order of tens of meters per thousand years. We perform global, gravitationally self-consistent simulations of GIA and input the predicted crustal deformation field into a landscape evolution model. Our calculations indicate that the eastward diversion of the Hudson River at 30 ka is consistent with exceptionally rapid growth of the Laurentide Ice Sheet late in the glaciation phase, beginning at 50–35 ka.

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Author details:T. Pico, J. X. Mitrovica, Jean BraunORCiDGND, K. L. Ferrier
DOI:https://doi.org/10.1130/G40221.1
ISSN:0091-7613
ISSN:1943-2682
Title of parent work (English):Geology
Publisher:American Institute of Physics
Place of publishing:Boulder
Publication type:Article
Language:English
Date of first publication:2018/05/30
Publication year:2018
Release date:2021/11/22
Volume:46
Issue:7
Number of pages:4
First page:591
Last Page:594
Funding institution:National Science Foundation (NSF), Graduate Research Fellowships Program (Pico); NSFNational Science Foundation (NSF) [EAR-1527351, EAR-1525922]; Harvard University; American Chemical Society Petroleum Research FundAmerican Chemical Society [58209-DNI8]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
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