Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ...
Aim: The formation of thermokarst lakes could make a large amount of carbon accessible to microbial degradation, potentially intensifying the permafrost carbon-climate feedback via carbon dioxide/methane emissions. Because of their diverse functional roles, prokaryotes play a key role in mediating b...
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Online Access: | https://dx.doi.org/10.5061/dryad.ngf1vhj04 https://datadryad.org/stash/dataset/doi:10.5061/dryad.ngf1vhj04 |
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ftdatacite:10.5061/dryad.ngf1vhj04 2024-06-09T07:44:21+00:00 Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... Kang, Luyao Chen, Leiyi Li, Ziliang Wang, Jianjun Xue, Kai Deng, Ye Delgado-Baquerizo, Manuel Song, Yutong Zhang, Dianye Yang, Guibiao Zhou, Wei Liu, Xuning Liu, Futing Yang, Yuanhe 2023 https://dx.doi.org/10.5061/dryad.ngf1vhj04 https://datadryad.org/stash/dataset/doi:10.5061/dryad.ngf1vhj04 en eng Dryad https://dx.doi.org/10.1111/geb.13764 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 prokaryotes beta diversity thermokarst lakes permafrost thawing 16S rRNA biogeochemical cycles FOS Earth and related environmental sciences Dataset dataset 2023 ftdatacite https://doi.org/10.5061/dryad.ngf1vhj0410.1111/geb.13764 2024-05-13T11:16:20Z Aim: The formation of thermokarst lakes could make a large amount of carbon accessible to microbial degradation, potentially intensifying the permafrost carbon-climate feedback via carbon dioxide/methane emissions. Because of their diverse functional roles, prokaryotes play a key role in mediating biogeochemical cycles in thermokarst lakes. However, little is known about the large-scale patterns and drivers of these communities. Location: Permafrost regions in the Northern Hemisphere. Time Period: Present day. Major taxa studied: Prokaryotes. Methods: Based on a combination of large-scale measurements on the Tibetan Plateau and data syntheses in pan-Arctic regions, we constructed a comprehensive dataset of 16S rRNA sequences from 258 thermokarst lakes across Northern Hemisphere permafrost regions. We also used the local contributions to beta diversity (LCBD) to characterize the variance of prokaryotic species composition and screened underlying drivers by conducting a random forest modeling analysis. ... : # Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere This project repository is associated with the following manuscripts: * Luyao Kang, Leiyi Chen, Ziliang Li, Jianjun Wang, Kai Xue, Ye Deng, Manuel Delgado-Baquerizo, Yutong Song, Dianye Zhang, Guibiao Yang, Wei Zhou, Xuning Liu, Futing Liu and Yuanhe Yang\* (2023). Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere. ([http://doi.org/10.1111/geb.13764](http://doi.org/10.1111/geb.13764) ) R codes for statistical analyses and all relevant data necessary for reproducing results are available at https://github.com/kangluyao/Prokaryotes-in-thermokarst-lakes. Environmental variables in *sample\_data.txt* include geographic location depth (cm), MAAT (℃), MAP (mm), DOC (mg/L), SUVA254 (L mg C-1 m-1), a320 (m-1), and pH. ## Structure ``` ├── doi_10.5061_dryad.ngf1vhj04__v5 ├── meta_otu_table.txt -- otu table file ├── taxonomy.txt -- taxonomimc table file └── ... Dataset Arctic permafrost Thermokarst DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
prokaryotes beta diversity thermokarst lakes permafrost thawing 16S rRNA biogeochemical cycles FOS Earth and related environmental sciences |
spellingShingle |
prokaryotes beta diversity thermokarst lakes permafrost thawing 16S rRNA biogeochemical cycles FOS Earth and related environmental sciences Kang, Luyao Chen, Leiyi Li, Ziliang Wang, Jianjun Xue, Kai Deng, Ye Delgado-Baquerizo, Manuel Song, Yutong Zhang, Dianye Yang, Guibiao Zhou, Wei Liu, Xuning Liu, Futing Yang, Yuanhe Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
topic_facet |
prokaryotes beta diversity thermokarst lakes permafrost thawing 16S rRNA biogeochemical cycles FOS Earth and related environmental sciences |
description |
Aim: The formation of thermokarst lakes could make a large amount of carbon accessible to microbial degradation, potentially intensifying the permafrost carbon-climate feedback via carbon dioxide/methane emissions. Because of their diverse functional roles, prokaryotes play a key role in mediating biogeochemical cycles in thermokarst lakes. However, little is known about the large-scale patterns and drivers of these communities. Location: Permafrost regions in the Northern Hemisphere. Time Period: Present day. Major taxa studied: Prokaryotes. Methods: Based on a combination of large-scale measurements on the Tibetan Plateau and data syntheses in pan-Arctic regions, we constructed a comprehensive dataset of 16S rRNA sequences from 258 thermokarst lakes across Northern Hemisphere permafrost regions. We also used the local contributions to beta diversity (LCBD) to characterize the variance of prokaryotic species composition and screened underlying drivers by conducting a random forest modeling analysis. ... : # Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere This project repository is associated with the following manuscripts: * Luyao Kang, Leiyi Chen, Ziliang Li, Jianjun Wang, Kai Xue, Ye Deng, Manuel Delgado-Baquerizo, Yutong Song, Dianye Zhang, Guibiao Yang, Wei Zhou, Xuning Liu, Futing Liu and Yuanhe Yang\* (2023). Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere. ([http://doi.org/10.1111/geb.13764](http://doi.org/10.1111/geb.13764) ) R codes for statistical analyses and all relevant data necessary for reproducing results are available at https://github.com/kangluyao/Prokaryotes-in-thermokarst-lakes. Environmental variables in *sample\_data.txt* include geographic location depth (cm), MAAT (℃), MAP (mm), DOC (mg/L), SUVA254 (L mg C-1 m-1), a320 (m-1), and pH. ## Structure ``` ├── doi_10.5061_dryad.ngf1vhj04__v5 ├── meta_otu_table.txt -- otu table file ├── taxonomy.txt -- taxonomimc table file └── ... |
format |
Dataset |
author |
Kang, Luyao Chen, Leiyi Li, Ziliang Wang, Jianjun Xue, Kai Deng, Ye Delgado-Baquerizo, Manuel Song, Yutong Zhang, Dianye Yang, Guibiao Zhou, Wei Liu, Xuning Liu, Futing Yang, Yuanhe |
author_facet |
Kang, Luyao Chen, Leiyi Li, Ziliang Wang, Jianjun Xue, Kai Deng, Ye Delgado-Baquerizo, Manuel Song, Yutong Zhang, Dianye Yang, Guibiao Zhou, Wei Liu, Xuning Liu, Futing Yang, Yuanhe |
author_sort |
Kang, Luyao |
title |
Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
title_short |
Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
title_full |
Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
title_fullStr |
Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
title_full_unstemmed |
Patterns and drivers of prokaryotic communities in thermokarst lake water across Northern Hemisphere ... |
title_sort |
patterns and drivers of prokaryotic communities in thermokarst lake water across northern hemisphere ... |
publisher |
Dryad |
publishDate |
2023 |
url |
https://dx.doi.org/10.5061/dryad.ngf1vhj04 https://datadryad.org/stash/dataset/doi:10.5061/dryad.ngf1vhj04 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Thermokarst |
genre_facet |
Arctic permafrost Thermokarst |
op_relation |
https://dx.doi.org/10.1111/geb.13764 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.ngf1vhj0410.1111/geb.13764 |
_version_ |
1801373099270078464 |