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Geophysical Characteristics of Permafrost Degradation across Boreal Landscapes after Disturbance by Fire or WaterNormal access

Authors: B. Minsley, N. Pastick, B. Wylie, D. Brown and A. Kass
Event name: 23rd European Meeting of Environmental and Engineering Geophysics
Session: Best of SAGEEP
Publication date: 03 September 2017
DOI: 10.3997/2214-4609.201701968
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 150.96Kb )
Price: € 20

Fire and hydrology can be significant drivers of permafrost change in boreal landscapes, altering the availability and transport of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to disturbance by fire or hydrological processes. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. We present a combination of multi-scale remote sensing, geophysical, and field observations that reveal details of both near-surface (<1 m) and deeper impacts of fire and hydrology on permafrost. Along 42 transects that collectively span more than 6,000 m at 31 sites located in different landscape settings within interior Alaska, subsurface geophysical imaging indicates locations where permafrost appears to be resilient to disturbance from fire or small streams, areas where warm permafrost conditions exist that may be most vulnerable to future change, and also where permafrost has thawed after fire or because of nearby surface water. Data collected along each transect include observations of active layer thickness (ALT), organic layer thickness (OLT), plant species cover, electrical resistivity tomography (ERT), and downhole Nuclear Magnetic Resonance (NMR) measurements. In addition, we discuss 300 km of newly acquired airborne electromagnetic (AEM) data in the western part of the lake-rich Yukon Flats that extends the coverage of an earlier 2010 AEM survey into a more ice-rich region. AEM data are used to evaluate the relationship between surface water features and deep (up to 100 m or more) permafrost extent in order to evaluate the potential for subsurface hydrologic connectivity and the potential for lateral fluxes of water.

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