Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities

Abstract Understanding how soil microbes respond to permafrost thaw is critical to predicting the implications of climate change for soil processes. However, our knowledge of microbial responses to warming is mainly based on laboratory thaw experiments, and field sampling in warmer months when sites...

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Published in:Environmental Research Letters
Main Authors: Baker, Christopher C M, Barker, Amanda J, Douglas, Thomas A, Doherty, Stacey J, Barbato, Robyn A
Other Authors: U.S. Department of Defense
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2023
Subjects:
Online Access:http://dx.doi.org/10.1088/1748-9326/acc542
https://iopscience.iop.org/article/10.1088/1748-9326/acc542
https://iopscience.iop.org/article/10.1088/1748-9326/acc542/pdf
id crioppubl:10.1088/1748-9326/acc542
record_format openpolar
spelling crioppubl:10.1088/1748-9326/acc542 2024-06-02T08:13:00+00:00 Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities Baker, Christopher C M Barker, Amanda J Douglas, Thomas A Doherty, Stacey J Barbato, Robyn A U.S. Department of Defense 2023 http://dx.doi.org/10.1088/1748-9326/acc542 https://iopscience.iop.org/article/10.1088/1748-9326/acc542 https://iopscience.iop.org/article/10.1088/1748-9326/acc542/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 18, issue 5, page 055001 ISSN 1748-9326 journal-article 2023 crioppubl https://doi.org/10.1088/1748-9326/acc542 2024-05-07T13:58:31Z Abstract Understanding how soil microbes respond to permafrost thaw is critical to predicting the implications of climate change for soil processes. However, our knowledge of microbial responses to warming is mainly based on laboratory thaw experiments, and field sampling in warmer months when sites are more accessible. In this study, we sampled a depth profile through seasonally thawed active layer and permafrost in the Imnavait Creek Watershed, Alaska, USA over the growing season from summer to late fall. Amplicon sequencing showed that bacterial and fungal communities differed in composition across both sampling depths and sampling months. Surface communities were most variable while those from the deepest samples, which remained frozen throughout our sampling period, showed little to no variation over time. However, community variation was not explained by trace metal concentrations, soil nutrient content, pH, or soil condition (frozen/thawed), except insofar as those measurements were correlated with depth. Our results highlight the importance of collecting samples at multiple times throughout the year to capture temporal variation, and suggest that data from across the annual freeze-thaw cycle might help predict microbial responses to permafrost thaw. Article in Journal/Newspaper permafrost Alaska IOP Publishing Environmental Research Letters
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract Understanding how soil microbes respond to permafrost thaw is critical to predicting the implications of climate change for soil processes. However, our knowledge of microbial responses to warming is mainly based on laboratory thaw experiments, and field sampling in warmer months when sites are more accessible. In this study, we sampled a depth profile through seasonally thawed active layer and permafrost in the Imnavait Creek Watershed, Alaska, USA over the growing season from summer to late fall. Amplicon sequencing showed that bacterial and fungal communities differed in composition across both sampling depths and sampling months. Surface communities were most variable while those from the deepest samples, which remained frozen throughout our sampling period, showed little to no variation over time. However, community variation was not explained by trace metal concentrations, soil nutrient content, pH, or soil condition (frozen/thawed), except insofar as those measurements were correlated with depth. Our results highlight the importance of collecting samples at multiple times throughout the year to capture temporal variation, and suggest that data from across the annual freeze-thaw cycle might help predict microbial responses to permafrost thaw.
author2 U.S. Department of Defense
format Article in Journal/Newspaper
author Baker, Christopher C M
Barker, Amanda J
Douglas, Thomas A
Doherty, Stacey J
Barbato, Robyn A
spellingShingle Baker, Christopher C M
Barker, Amanda J
Douglas, Thomas A
Doherty, Stacey J
Barbato, Robyn A
Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
author_facet Baker, Christopher C M
Barker, Amanda J
Douglas, Thomas A
Doherty, Stacey J
Barbato, Robyn A
author_sort Baker, Christopher C M
title Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
title_short Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
title_full Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
title_fullStr Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
title_full_unstemmed Seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
title_sort seasonal variation in near-surface seasonally thawed active layer and permafrost soil microbial communities
publisher IOP Publishing
publishDate 2023
url http://dx.doi.org/10.1088/1748-9326/acc542
https://iopscience.iop.org/article/10.1088/1748-9326/acc542
https://iopscience.iop.org/article/10.1088/1748-9326/acc542/pdf
genre permafrost
Alaska
genre_facet permafrost
Alaska
op_source Environmental Research Letters
volume 18, issue 5, page 055001
ISSN 1748-9326
op_rights http://creativecommons.org/licenses/by/4.0
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1748-9326/acc542
container_title Environmental Research Letters
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