A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada

Permafrost maps are needed for infrastructure planning, climatic change adaptation strategies and northern development but often lack sufficient detail for these purposes. The high‐resolution (30 x 30 m grid cells) probability model for the southern Yukon and northern British Columbia presented in t...

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Published in:Permafrost and Periglacial Processes
Main Authors: Philip P. Bonnaventure, Antoni G. Lewkowicz, Marian Kremer, Michael C. Sawada
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://doi.org/10.1002/ppp.1733
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spelling ftrepec:oai:RePEc:wly:perpro:v:23:y:2012:i:1:p:52-68 2023-05-15T17:55:37+02:00 A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada Philip P. Bonnaventure Antoni G. Lewkowicz Marian Kremer Michael C. Sawada https://doi.org/10.1002/ppp.1733 unknown https://doi.org/10.1002/ppp.1733 article ftrepec https://doi.org/10.1002/ppp.1733 2020-12-04T13:31:25Z Permafrost maps are needed for infrastructure planning, climatic change adaptation strategies and northern development but often lack sufficient detail for these purposes. The high‐resolution (30 x 30 m grid cells) probability model for the southern Yukon and northern British Columbia presented in this paper (regional model) is a combination of seven local empirical‐statistical models, each developed from basal temperature of snow measurements in winter and ground‐truthing of frozen‐ground presence in summer. The models were blended using a distance‐decay power approach to generate a map of permafrost probability over an area of almost 500 000 km2 between 59°N and 65°N. The result is broadly similar to previous permafrost maps with an average permafrost probability of 58 per cent for the region as a whole. There are notable differences in detail, however, because the main predictive variable used in the local models is equivalent elevation, which incorporates the effects of gentle or inverted surface lapse rates in the forest zone. Most of the region shows permafrost distribution patterns that are non‐linear, resembling those from continental areas such as Mongolia. Only the southwestern area shows a similar mountain permafrost distribution to that in the European Alps with a well‐defined lower limit and a linear increase in probability with elevation. The results of the modelling can be presented on paper using traditional classifications into permafrost zones but given the level of detail, they will be more useful as an interactive online map. Copyright © 2012 John Wiley & Sons, Ltd. Article in Journal/Newspaper permafrost Yukon RePEc (Research Papers in Economics) Yukon Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Permafrost and Periglacial Processes 23 1 52 68
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Permafrost maps are needed for infrastructure planning, climatic change adaptation strategies and northern development but often lack sufficient detail for these purposes. The high‐resolution (30 x 30 m grid cells) probability model for the southern Yukon and northern British Columbia presented in this paper (regional model) is a combination of seven local empirical‐statistical models, each developed from basal temperature of snow measurements in winter and ground‐truthing of frozen‐ground presence in summer. The models were blended using a distance‐decay power approach to generate a map of permafrost probability over an area of almost 500 000 km2 between 59°N and 65°N. The result is broadly similar to previous permafrost maps with an average permafrost probability of 58 per cent for the region as a whole. There are notable differences in detail, however, because the main predictive variable used in the local models is equivalent elevation, which incorporates the effects of gentle or inverted surface lapse rates in the forest zone. Most of the region shows permafrost distribution patterns that are non‐linear, resembling those from continental areas such as Mongolia. Only the southwestern area shows a similar mountain permafrost distribution to that in the European Alps with a well‐defined lower limit and a linear increase in probability with elevation. The results of the modelling can be presented on paper using traditional classifications into permafrost zones but given the level of detail, they will be more useful as an interactive online map. Copyright © 2012 John Wiley & Sons, Ltd.
format Article in Journal/Newspaper
author Philip P. Bonnaventure
Antoni G. Lewkowicz
Marian Kremer
Michael C. Sawada
spellingShingle Philip P. Bonnaventure
Antoni G. Lewkowicz
Marian Kremer
Michael C. Sawada
A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
author_facet Philip P. Bonnaventure
Antoni G. Lewkowicz
Marian Kremer
Michael C. Sawada
author_sort Philip P. Bonnaventure
title A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
title_short A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
title_full A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
title_fullStr A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
title_full_unstemmed A Permafrost Probability Model for the Southern Yukon and Northern British Columbia, Canada
title_sort permafrost probability model for the southern yukon and northern british columbia, canada
url https://doi.org/10.1002/ppp.1733
long_lat ENVELOPE(-125.003,-125.003,54.000,54.000)
geographic Yukon
Canada
British Columbia
geographic_facet Yukon
Canada
British Columbia
genre permafrost
Yukon
genre_facet permafrost
Yukon
op_relation https://doi.org/10.1002/ppp.1733
op_doi https://doi.org/10.1002/ppp.1733
container_title Permafrost and Periglacial Processes
container_volume 23
container_issue 1
container_start_page 52
op_container_end_page 68
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