A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle.
High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH 4 ) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH 4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, a...
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Online Access: | https://hdl.handle.net/10037/28306 https://doi.org/10.1038/s41597-022-01759-8 |
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ftunivtroemsoe:oai:munin.uit.no:10037/28306 2023-05-15T18:40:25+02:00 A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. Barret, Maialen Gandois, Laure Thalasso, Frederic Martinez Cruz, K Jauregui, Alejandra Lavergne, C. Teisserenc, R. Aguilar, A Nieto, O. Etchebehere, C. Dellagnezze, B.M. Winkler, P.B. Fochesatto, Gilberto J. Tananaev, N. Svenning, Mette Marianne Seppey, Victor William Christophe Tveit, Alexander Chamy, R. España, M.S.A. Mansilla, A. Van De Putte, Anton Sweetlove, M. Murray, Alison E. Cabrol, Lea 2022-11-04 https://hdl.handle.net/10037/28306 https://doi.org/10.1038/s41597-022-01759-8 eng eng Springer Nature Scientific Data Barret M, Gandois L, Thalasso F, Martinez Cruz, Jauregui A, Lavergne C, Teisserenc R, Aguilar A, Nieto O, Etchebehere C, Dellagnezze, Winkler, Fochesatto GJ, Tananaev N, Svenning MM, Seppey CVW, Tveit AT, Chamy, España, Mansilla, Van De Putte A, Sweetlove, Murray AE, Cabrol L. A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. Scientific Data. 2022;9 FRIDAID 2108371 https://doi.org/10.1038/s41597-022-01759-8 2052-4463 https://hdl.handle.net/10037/28306 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 CC-BY Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2022 ftunivtroemsoe https://doi.org/10.1038/s41597-022-01759-8 2023-01-26T00:03:27Z High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH 4 ) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH 4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and microbial production/consumption balance. Holistic studies are mandatory to capture CH 4 cycling complexity. Here, we report a large set of integrated microbial and biogeochemical data from 387 samples, using a concerted sampling strategy and experimental protocols. The study followed international standards to ensure inter-comparisons of data amongst three high-latitude regions: Alaska, Siberia, and Patagonia. The dataset encompasses diferent representative environmental features (e.g. lake, wetland, tundra, forest soil) of these high-latitude sites and their respective heterogeneity (e.g. characteristic microtopographic patterns). The data included physicochemical parameters, greenhouse gas concentrations and emissions, organic matter characterization, trace elements and nutrients, isotopes, microbial quantifcation and composition. This dataset addresses the need for a robust physicochemical framework to conduct and contextualize future research on the interactions between climate change, biogeochemical cycles and microbial communities at highlatitudes. Article in Journal/Newspaper Tundra Alaska Siberia University of Tromsø: Munin Open Research Archive Patagonia Scientific Data 9 1 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH 4 ) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH 4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and microbial production/consumption balance. Holistic studies are mandatory to capture CH 4 cycling complexity. Here, we report a large set of integrated microbial and biogeochemical data from 387 samples, using a concerted sampling strategy and experimental protocols. The study followed international standards to ensure inter-comparisons of data amongst three high-latitude regions: Alaska, Siberia, and Patagonia. The dataset encompasses diferent representative environmental features (e.g. lake, wetland, tundra, forest soil) of these high-latitude sites and their respective heterogeneity (e.g. characteristic microtopographic patterns). The data included physicochemical parameters, greenhouse gas concentrations and emissions, organic matter characterization, trace elements and nutrients, isotopes, microbial quantifcation and composition. This dataset addresses the need for a robust physicochemical framework to conduct and contextualize future research on the interactions between climate change, biogeochemical cycles and microbial communities at highlatitudes. |
format |
Article in Journal/Newspaper |
author |
Barret, Maialen Gandois, Laure Thalasso, Frederic Martinez Cruz, K Jauregui, Alejandra Lavergne, C. Teisserenc, R. Aguilar, A Nieto, O. Etchebehere, C. Dellagnezze, B.M. Winkler, P.B. Fochesatto, Gilberto J. Tananaev, N. Svenning, Mette Marianne Seppey, Victor William Christophe Tveit, Alexander Chamy, R. España, M.S.A. Mansilla, A. Van De Putte, Anton Sweetlove, M. Murray, Alison E. Cabrol, Lea |
spellingShingle |
Barret, Maialen Gandois, Laure Thalasso, Frederic Martinez Cruz, K Jauregui, Alejandra Lavergne, C. Teisserenc, R. Aguilar, A Nieto, O. Etchebehere, C. Dellagnezze, B.M. Winkler, P.B. Fochesatto, Gilberto J. Tananaev, N. Svenning, Mette Marianne Seppey, Victor William Christophe Tveit, Alexander Chamy, R. España, M.S.A. Mansilla, A. Van De Putte, Anton Sweetlove, M. Murray, Alison E. Cabrol, Lea A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
author_facet |
Barret, Maialen Gandois, Laure Thalasso, Frederic Martinez Cruz, K Jauregui, Alejandra Lavergne, C. Teisserenc, R. Aguilar, A Nieto, O. Etchebehere, C. Dellagnezze, B.M. Winkler, P.B. Fochesatto, Gilberto J. Tananaev, N. Svenning, Mette Marianne Seppey, Victor William Christophe Tveit, Alexander Chamy, R. España, M.S.A. Mansilla, A. Van De Putte, Anton Sweetlove, M. Murray, Alison E. Cabrol, Lea |
author_sort |
Barret, Maialen |
title |
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
title_short |
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
title_full |
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
title_fullStr |
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
title_full_unstemmed |
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
title_sort |
combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. |
publisher |
Springer Nature |
publishDate |
2022 |
url |
https://hdl.handle.net/10037/28306 https://doi.org/10.1038/s41597-022-01759-8 |
geographic |
Patagonia |
geographic_facet |
Patagonia |
genre |
Tundra Alaska Siberia |
genre_facet |
Tundra Alaska Siberia |
op_relation |
Scientific Data Barret M, Gandois L, Thalasso F, Martinez Cruz, Jauregui A, Lavergne C, Teisserenc R, Aguilar A, Nieto O, Etchebehere C, Dellagnezze, Winkler, Fochesatto GJ, Tananaev N, Svenning MM, Seppey CVW, Tveit AT, Chamy, España, Mansilla, Van De Putte A, Sweetlove, Murray AE, Cabrol L. A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle. Scientific Data. 2022;9 FRIDAID 2108371 https://doi.org/10.1038/s41597-022-01759-8 2052-4463 https://hdl.handle.net/10037/28306 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41597-022-01759-8 |
container_title |
Scientific Data |
container_volume |
9 |
container_issue |
1 |
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1766229759452250112 |