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| Created: | Apr 30, 2024 at 5:12 p.m. (UTC) | |
| Last updated: | May 23, 2025 at 5:46 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content Geographic Raster Content CSV Content |
| Sharing Status: | Public |
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| Views: | 2013 |
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Abstract
Hillslope flow networks in the upland Arctic include unchannelized water tracks, curvilinear zones of increased soil moisture, and channelized gullies which can exist along the same longitudinally connected flow network. However, controls on patterns of channelization on continuous permafrost landscapes remain poorly constrained in part due to the difficulty of remotely detecting discontinuous channelized segments. Here we introduce a novel method to identify gullies within Arctic hillslope flow networks using high-resolution lidar verified with field observations on Alaska’s North Slope. This method combines slope, tangential curvature, normalized elevation, and a delineated flow network to model and detect gullies on the landscape. Our best-fit model accurately identifies 80% of gullies (n=40/50) and 71% of water tracks (n=115/163) observed in the field. For the ~431 km2 study region, we found that 26% of hillslope flow networks contain gullies. We detected 14,769 water track networks (9,351 km in length, 93% of hillslope network) and 4,261 gully networks (738 km in length, 7% of hillslope flow network). Gully networks were most abundant in coarse, Holocene-aged sediments and preferential patterns in slope, aspect, and profile curvature suggest that localized subsurface processes, including ground ice abundance and soil pipe formation, may be the primary controls on initial gully formation. While the exact location of new gullies on Arctic hillslopes may be difficult to predict, we expect hillslope flow networks to transition from primarily unchannelized to channelized as permafrost thaws, with direct impacts on water, nutrient, and sediment transport.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | Collaborative Research: RUI: Zero-order to first-order: Hydrologic drivers of surface-subsurface storage dynamics in thawing permafrost landscapes | EAR-2102338 |
| U.S. National Science Foundation | Collaborative Research: RUI: Zero-order to first-order: Hydrologic drivers of surface-subsurface storage dynamics in thawing permafrost landscapes | EAR-2102342 |
| U.S. National Science Foundation | CAREER: Active Learning Across Interfaces: Controls on Flow Intermittency and Water Age in Temporary Streams | EAR-1653998 |
| U.S. National Science Foundation | CAREER: Hydrogeologic implications of permafrost thaw - Developing a process-based understanding of biophysical controls and educational tools for rural communities | EAR-2235308 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Sarah Godsey | Idaho State University | Idaho, US | 2082823170 | |
| Sarah G. Evans | Appalachian State University | North Carolina, US | ORCID , GoogleScholarID | |
| Benjamin Crosby | Idaho State University | Idaho, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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