Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space

Abstract Topographic diffusivity is an often-used metric of regolith mobility. It accounts for the collective effects of climate, substrate, fauna, flora, and other factors on hillslope degradation and is used to model natural lowering in landscapes. The present study assesses where temporal variati...

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Published in:Quaternary Research
Main Authors: Madoff, Risa D., Putkonen, Jaakko
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2022
Subjects:
Online Access:http://dx.doi.org/10.1017/qua.2022.4
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0033589422000047
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spelling crcambridgeupr:10.1017/qua.2022.4 2024-03-03T08:41:47+00:00 Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space Madoff, Risa D. Putkonen, Jaakko 2022 http://dx.doi.org/10.1017/qua.2022.4 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0033589422000047 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Quaternary Research volume 109, page 128-140 ISSN 0033-5894 1096-0287 General Earth and Planetary Sciences Earth-Surface Processes Arts and Humanities (miscellaneous) journal-article 2022 crcambridgeupr https://doi.org/10.1017/qua.2022.4 2024-02-08T08:42:14Z Abstract Topographic diffusivity is an often-used metric of regolith mobility. It accounts for the collective effects of climate, substrate, fauna, flora, and other factors on hillslope degradation and is used to model natural lowering in landscapes. The present study assesses where temporal variations in diffusivity derived from known past climate fluctuations have occurred. We also determine where significant differences might result when modeling landscape degradation if a long-term constant diffusivity is applied instead of diffusivity that varies through time. A space-for-time substitution approach was implemented. Through use of a transfer function that correlates current diffusivities with air temperatures, we mapped the relative diffusivities globally at a 500 yr temporal resolution for 21 ka. The analyses spanned all land areas from the tropics to the poles with a spatial resolution of 3.70° latitude by 3.75° longitude using paleo-temperature data from the TraCE-21ka global paleoclimate model. The results show Arctic and subarctic regions with the highest relative maximum diffusivities and largest variance from current values. The results suggest strong surficial dynamics in the Arctic and subarctic regions driven by local and spatially transient deglaciation and long-term stability in the tropics that correlates with relatively stable climate there through the past 21 ka. Article in Journal/Newspaper Arctic Subarctic Cambridge University Press Arctic Quaternary Research 1 13
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
topic General Earth and Planetary Sciences
Earth-Surface Processes
Arts and Humanities (miscellaneous)
spellingShingle General Earth and Planetary Sciences
Earth-Surface Processes
Arts and Humanities (miscellaneous)
Madoff, Risa D.
Putkonen, Jaakko
Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
topic_facet General Earth and Planetary Sciences
Earth-Surface Processes
Arts and Humanities (miscellaneous)
description Abstract Topographic diffusivity is an often-used metric of regolith mobility. It accounts for the collective effects of climate, substrate, fauna, flora, and other factors on hillslope degradation and is used to model natural lowering in landscapes. The present study assesses where temporal variations in diffusivity derived from known past climate fluctuations have occurred. We also determine where significant differences might result when modeling landscape degradation if a long-term constant diffusivity is applied instead of diffusivity that varies through time. A space-for-time substitution approach was implemented. Through use of a transfer function that correlates current diffusivities with air temperatures, we mapped the relative diffusivities globally at a 500 yr temporal resolution for 21 ka. The analyses spanned all land areas from the tropics to the poles with a spatial resolution of 3.70° latitude by 3.75° longitude using paleo-temperature data from the TraCE-21ka global paleoclimate model. The results show Arctic and subarctic regions with the highest relative maximum diffusivities and largest variance from current values. The results suggest strong surficial dynamics in the Arctic and subarctic regions driven by local and spatially transient deglaciation and long-term stability in the tropics that correlates with relatively stable climate there through the past 21 ka.
format Article in Journal/Newspaper
author Madoff, Risa D.
Putkonen, Jaakko
author_facet Madoff, Risa D.
Putkonen, Jaakko
author_sort Madoff, Risa D.
title Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
title_short Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
title_full Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
title_fullStr Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
title_full_unstemmed Global variations in regional degradation rates since the Last Glacial Maximum mapped through time and space
title_sort global variations in regional degradation rates since the last glacial maximum mapped through time and space
publisher Cambridge University Press (CUP)
publishDate 2022
url http://dx.doi.org/10.1017/qua.2022.4
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0033589422000047
geographic Arctic
geographic_facet Arctic
genre Arctic
Subarctic
genre_facet Arctic
Subarctic
op_source Quaternary Research
volume 109, page 128-140
ISSN 0033-5894 1096-0287
op_rights https://www.cambridge.org/core/terms
op_doi https://doi.org/10.1017/qua.2022.4
container_title Quaternary Research
container_start_page 1
op_container_end_page 13
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