Linking tundra vegetation, snow, soil temperature, and permafrost

Soil temperatures in permafrost regions are highly heterogeneous on small scales, in part due to variable snow and vegetation cover. Moreover, the temperature distribution that results from the interplay of complex biophysical processes remains poorly constrained. Sixty-eight temperature loggers wer...

Full description

Bibliographic Details
Main Authors: Grünberg, Inge, Wilcox, Evan J., Zwieback, Simon, Marsh, Philip, Boike, Julia
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/bg-2020-88
https://www.biogeosciences-discuss.net/bg-2020-88/
id ftcopernicus:oai:publications.copernicus.org:bgd84432
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:bgd84432 2023-05-15T13:03:04+02:00 Linking tundra vegetation, snow, soil temperature, and permafrost Grünberg, Inge Wilcox, Evan J. Zwieback, Simon Marsh, Philip Boike, Julia 2020-03-30 application/pdf https://doi.org/10.5194/bg-2020-88 https://www.biogeosciences-discuss.net/bg-2020-88/ eng eng doi:10.5194/bg-2020-88 https://www.biogeosciences-discuss.net/bg-2020-88/ eISSN: 1726-4189 Text 2020 ftcopernicus https://doi.org/10.5194/bg-2020-88 2020-04-06T14:42:00Z Soil temperatures in permafrost regions are highly heterogeneous on small scales, in part due to variable snow and vegetation cover. Moreover, the temperature distribution that results from the interplay of complex biophysical processes remains poorly constrained. Sixty-eight temperature loggers were installed to record the distribution of topsoil temperatures at the Trail Valley Creek study site in the Northwestern Canadian Arctic. The measurements were distributed across six different vegetation types characteristic for this landscape. Two years of topsoil temperature data were analysed statistically to identify temporal and spatial characteristics and their relationship to vegetation, snow cover and active layer thickness. The mean annual topsoil temperature varied between −3.7 °C and 0.1 °C within a 1.2 km distance, with an approximate average across the landscape of −2.3 °C in 2017 and −1.7 °C in 2018. The observed variation can, to a large degree, be explained by variation in snow cover. Differences in height between vegetation types cause spatially variable snow depth during winter, leading to spatially variable snow melt timing in spring, causing pronounced differences in topsoil mean temperature and temperature variability during those time periods. Summer topsoil temperatures were quite similar below most vegetation types, and not consistently related to active layer thickness at the end of August. The small-scale pattern of vegetation and its influence on snow cover height and snow melt governs the annual topsoil temperature in this permafrost-underlain landscape. Text Active layer thickness Arctic permafrost Tundra Copernicus Publications: E-Journals Arctic Trail Valley Creek ENVELOPE(-133.415,-133.415,68.772,68.772) Valley Creek ENVELOPE(-138.324,-138.324,63.326,63.326)
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Soil temperatures in permafrost regions are highly heterogeneous on small scales, in part due to variable snow and vegetation cover. Moreover, the temperature distribution that results from the interplay of complex biophysical processes remains poorly constrained. Sixty-eight temperature loggers were installed to record the distribution of topsoil temperatures at the Trail Valley Creek study site in the Northwestern Canadian Arctic. The measurements were distributed across six different vegetation types characteristic for this landscape. Two years of topsoil temperature data were analysed statistically to identify temporal and spatial characteristics and their relationship to vegetation, snow cover and active layer thickness. The mean annual topsoil temperature varied between −3.7 °C and 0.1 °C within a 1.2 km distance, with an approximate average across the landscape of −2.3 °C in 2017 and −1.7 °C in 2018. The observed variation can, to a large degree, be explained by variation in snow cover. Differences in height between vegetation types cause spatially variable snow depth during winter, leading to spatially variable snow melt timing in spring, causing pronounced differences in topsoil mean temperature and temperature variability during those time periods. Summer topsoil temperatures were quite similar below most vegetation types, and not consistently related to active layer thickness at the end of August. The small-scale pattern of vegetation and its influence on snow cover height and snow melt governs the annual topsoil temperature in this permafrost-underlain landscape.
format Text
author Grünberg, Inge
Wilcox, Evan J.
Zwieback, Simon
Marsh, Philip
Boike, Julia
spellingShingle Grünberg, Inge
Wilcox, Evan J.
Zwieback, Simon
Marsh, Philip
Boike, Julia
Linking tundra vegetation, snow, soil temperature, and permafrost
author_facet Grünberg, Inge
Wilcox, Evan J.
Zwieback, Simon
Marsh, Philip
Boike, Julia
author_sort Grünberg, Inge
title Linking tundra vegetation, snow, soil temperature, and permafrost
title_short Linking tundra vegetation, snow, soil temperature, and permafrost
title_full Linking tundra vegetation, snow, soil temperature, and permafrost
title_fullStr Linking tundra vegetation, snow, soil temperature, and permafrost
title_full_unstemmed Linking tundra vegetation, snow, soil temperature, and permafrost
title_sort linking tundra vegetation, snow, soil temperature, and permafrost
publishDate 2020
url https://doi.org/10.5194/bg-2020-88
https://www.biogeosciences-discuss.net/bg-2020-88/
long_lat ENVELOPE(-133.415,-133.415,68.772,68.772)
ENVELOPE(-138.324,-138.324,63.326,63.326)
geographic Arctic
Trail Valley Creek
Valley Creek
geographic_facet Arctic
Trail Valley Creek
Valley Creek
genre Active layer thickness
Arctic
permafrost
Tundra
genre_facet Active layer thickness
Arctic
permafrost
Tundra
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-2020-88
https://www.biogeosciences-discuss.net/bg-2020-88/
op_doi https://doi.org/10.5194/bg-2020-88
_version_ 1766327664888512512