Chapter
Oct 21, 2021
Regional Conference on Permafrost 2021 and the 19th International Conference on Cold Regions Engineering

Modelled Soil Temperature Sensitivity to Variable Snow and Vegetation Conditions in Low-Relief Coastal Mountains, Nunatsiavut and NunatuKavut, Labrador

Publication: Permafrost 2021: Merging Permafrost Science and Cold Regions Engineering

ABSTRACT

Understanding permafrost vulnerability and resilience to climate warming is critical for predicting impacts on northern communities and ecosystems. The thermal characteristics of near-surface permafrost are influenced by effects from overlying vegetation and snow cover, both of which are changing in northern environments. The association between vegetation and snow is important in the coastal mountains of Labrador, northeast Canada, because of high annual snowfall totals and greening tundra biomes. In this study, we present a series of one-dimensional simulations using the Northern Ecosystem Soil Temperature (NEST) model to characterize ground thermal conditions at two field sites (Nain, Nunatsiavut and Pinware, NunatuKavut) along the Labrador coast. NEST simulations covering 1979–2019 were run using ERA5 atmospheric reanalysis for three ecotypes (tundra, shrub, treed) with three different snow accumulation regimes (snow drifting away from site, no snow drift, snow drifting to site). At Nain, perennially frozen ground was present for all three ecotypes when snow cover was kept thin (drifting away) but was largely absent for the ecotypes when snow accumulation was higher. At Pinware, frozen ground was mostly absent except where snow cover was shallow (wind drifting away). For low-snow simulations, frozen bodies (< 20 m) persisted in all ecotypes during cold periods but only remained intact following warmer years for treed ecotypes. These results highlight the importance of spatial and temporal variability in snow cover on ground thermal regimes in coastal Labrador.

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Go to Permafrost 2021
Permafrost 2021: Merging Permafrost Science and Cold Regions Engineering
Pages: 71 - 81
Editor: Jon Zufelt, Ph.D., HDR Alaska
ISBN (Online): 978-0-7844-8358-9

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Published online: Oct 21, 2021

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Northern Environmental Geoscience Laboratory, Dept. of Geography and Planning, Queen’s Univ., Kingston, ON (corresponding author). ORCHID: https://orcid.org/0000-0002-4843-0451. E-mail: [email protected]; [email protected]
Robert G. Way, Ph.D. [email protected]
Northern Environmental Geoscience Laboratory, Dept. of Geography and Planning, Queen’s Univ. E-mail: [email protected]
Ryley Beddoe, Ph.D. [email protected]
Dept. of Civil Engineering, Royal Military College of Canada. E-mail: [email protected]
Yu Zhang, Ph.D. [email protected]
Canada Centre for Remote Sensing, Canada Centre for Mapping and Earth Observation, Natural Resources Canada. E-mail: [email protected]
Andrew Trant, Ph.D. [email protected]
Ecological Legacy Lab, School of Environment, Resources and Sustainability, Univ. Waterloo. E-mail: [email protected]

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