Benjamin M. Jones, Christopher D. Arp, Guido Grosse, Ingmar Nitze, Mark J. Lara, Matthew S. Whitman, Louise M. Farquharson, Mikhail Kanevskiy, Andrew D. Parsekian, Amy L. Breen, Nori Ohara, Rodrigo Correa Rangel, Kenneth M. Hinkel
- Arctic lakes located in permafrost regions are susceptible to catastrophic drainage. In this study, we reconstructed historical lake drainage events on the western Arctic Coastal Plain of Alaska between 1955 and 2017 using USGS topographic maps, historical aerial photography (1955), and Landsat Imagery (ca. 1975, ca. 2000, and annually since 2000). We identified 98 lakes larger than 10 ha that partially (>25% of area) or completely drained during the 62-year period. Decadal-scale lake drainage rates progressively declined from 2.0 lakes/yr (1955-1975), to 1.6 lakes/yr (1975-2000), and to 1.2 lakes/yr (2000-2017) in the ~30,000-km(2) study area. Detailed Landsat trend analysis between 2000 and 2017 identified two years, 2004 and 2006, with a cluster (five or more) of lake drainages probably associated with bank overtopping or headward erosion. To identify future potential lake drainages, we combined the historical lake drainage observations with a geospatial dataset describing lake elevation, hydrologic connectivity, and adjacent lakeArctic lakes located in permafrost regions are susceptible to catastrophic drainage. In this study, we reconstructed historical lake drainage events on the western Arctic Coastal Plain of Alaska between 1955 and 2017 using USGS topographic maps, historical aerial photography (1955), and Landsat Imagery (ca. 1975, ca. 2000, and annually since 2000). We identified 98 lakes larger than 10 ha that partially (>25% of area) or completely drained during the 62-year period. Decadal-scale lake drainage rates progressively declined from 2.0 lakes/yr (1955-1975), to 1.6 lakes/yr (1975-2000), and to 1.2 lakes/yr (2000-2017) in the ~30,000-km(2) study area. Detailed Landsat trend analysis between 2000 and 2017 identified two years, 2004 and 2006, with a cluster (five or more) of lake drainages probably associated with bank overtopping or headward erosion. To identify future potential lake drainages, we combined the historical lake drainage observations with a geospatial dataset describing lake elevation, hydrologic connectivity, and adjacent lake margin topographic gradients developed with a 5-m-resolution digital surface model. We identified ~1900 lakes likely to be prone to drainage in the future. Of the 20 lakes that drained in the most recent study period, 85% were identified in this future lake drainage potential dataset. Our assessment of historical lake drainage magnitude, mechanisms and pathways, and identification of potential future lake drainages provides insights into how arctic lowland landscapes may change and evolve in the coming decades to centuries.…
MetadatenAuthor details: | Benjamin M. JonesORCiD, Christopher D. ArpORCiD, Guido GrosseORCiDGND, Ingmar NitzeORCiDGND, Mark J. LaraORCiD, Matthew S. WhitmanORCiD, Louise M. FarquharsonORCiD, Mikhail KanevskiyORCiD, Andrew D. ParsekianORCiD, Amy L. BreenORCiD, Nori OharaORCiD, Rodrigo Correa RangelORCiD, Kenneth M. HinkelORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-610435 |
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DOI: | https://doi.org/10.25932/publishup-61043 |
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ISSN: | 1866-8372 |
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Title of parent work (German): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe |
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Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (1376) |
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Publication type: | Postprint |
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Language: | English |
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Date of first publication: | 2020/02/21 |
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Publication year: | 2020 |
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Publishing institution: | Universität Potsdam |
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Release date: | 2024/03/21 |
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Tag: | Arctic lakes; drained lake basins; lake drainage; permafrost regions; thermokarst lakes |
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Issue: | 1 |
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Number of pages: | 20 |
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Source: | Permafrost and Periglac Process. 2020; 31: 110–127. https://doi.org/10.1002/ppp.2038 |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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Peer review: | Referiert |
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Publishing method: | Open Access / Green Open-Access |
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License (German): | CC-BY - Namensnennung 4.0 International |
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External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |
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