Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach

Abstract Identification of the environmental drivers of geomorphological processes in cold regions is a central topic in periglacial research. The objective of this study was to develop and test a methodology to: (1) predict the occurrence of palsas, earth hummocks, sorted solifluction sheets and pe...

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Published in:Permafrost and Periglacial Processes
Main Authors: Hjort, Jan, Luoto, Miska, Seppälä, Matti
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2007
Subjects:
Online Access:http://dx.doi.org/10.1002/ppp.584
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spelling crwiley:10.1002/ppp.584 2024-06-02T08:12:02+00:00 Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach Hjort, Jan Luoto, Miska Seppälä, Matti 2007 http://dx.doi.org/10.1002/ppp.584 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.584 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.584 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Permafrost and Periglacial Processes volume 18, issue 2, page 115-127 ISSN 1045-6740 1099-1530 journal-article 2007 crwiley https://doi.org/10.1002/ppp.584 2024-05-03T11:28:47Z Abstract Identification of the environmental drivers of geomorphological processes in cold regions is a central topic in periglacial research. The objective of this study was to develop and test a methodology to: (1) predict the occurrence of palsas, earth hummocks, sorted solifluction sheets and periglacial deflation sites in a subarctic landscape and (2) determine the most important environmental factors affecting the distribution of these features at the landscape scale. The study was performed using an empirically‐derived data‐set of landforms from an area of 600 km 2 in northern Finland at a 25 ha resolution (n = 2272). Logistic regression and hierarchical partitioning were used to analyse the data and the predictive performance of the models was evaluated using area under the curve (AUC) measures. The explanatory variables highlighted as important predictors of the occurrence of periglacial features coincided well with the hypothesised determinants. Predictions for palsa, earth hummock and sorted solifluction sheet models were excellent (AUC = 0.92–0.95) and the deflation site model was good (AUC = 0.81). The results encourage further application of the grid‐based modelling approach, for example in predicting feature occurrences in other periglacial regions, studying scale dependency of process‐environment interactions and determining the effect of climate change on the distribution of frost‐related processes. Copyright © 2007 John Wiley & Sons, Ltd. Article in Journal/Newspaper Northern Finland palsa palsas Permafrost and Periglacial Processes Subarctic Wiley Online Library Permafrost and Periglacial Processes 18 2 115 127
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Identification of the environmental drivers of geomorphological processes in cold regions is a central topic in periglacial research. The objective of this study was to develop and test a methodology to: (1) predict the occurrence of palsas, earth hummocks, sorted solifluction sheets and periglacial deflation sites in a subarctic landscape and (2) determine the most important environmental factors affecting the distribution of these features at the landscape scale. The study was performed using an empirically‐derived data‐set of landforms from an area of 600 km 2 in northern Finland at a 25 ha resolution (n = 2272). Logistic regression and hierarchical partitioning were used to analyse the data and the predictive performance of the models was evaluated using area under the curve (AUC) measures. The explanatory variables highlighted as important predictors of the occurrence of periglacial features coincided well with the hypothesised determinants. Predictions for palsa, earth hummock and sorted solifluction sheet models were excellent (AUC = 0.92–0.95) and the deflation site model was good (AUC = 0.81). The results encourage further application of the grid‐based modelling approach, for example in predicting feature occurrences in other periglacial regions, studying scale dependency of process‐environment interactions and determining the effect of climate change on the distribution of frost‐related processes. Copyright © 2007 John Wiley & Sons, Ltd.
format Article in Journal/Newspaper
author Hjort, Jan
Luoto, Miska
Seppälä, Matti
spellingShingle Hjort, Jan
Luoto, Miska
Seppälä, Matti
Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
author_facet Hjort, Jan
Luoto, Miska
Seppälä, Matti
author_sort Hjort, Jan
title Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
title_short Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
title_full Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
title_fullStr Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
title_full_unstemmed Landscape scale determinants of periglacial features in subarctic Finland: a grid‐based modelling approach
title_sort landscape scale determinants of periglacial features in subarctic finland: a grid‐based modelling approach
publisher Wiley
publishDate 2007
url http://dx.doi.org/10.1002/ppp.584
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fppp.584
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.584
genre Northern Finland
palsa
palsas
Permafrost and Periglacial Processes
Subarctic
genre_facet Northern Finland
palsa
palsas
Permafrost and Periglacial Processes
Subarctic
op_source Permafrost and Periglacial Processes
volume 18, issue 2, page 115-127
ISSN 1045-6740 1099-1530
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/ppp.584
container_title Permafrost and Periglacial Processes
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