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 (CH4) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and...

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Main Authors: Barret, Maialen, Gandois, Laure, Thalasso, Frederic, Martinez Cruz, Karla, Sepulveda Jauregui, Armando, Lavergne, Céline, Teisserenc, Roman, Aguilar, Polette, Gerardo-Nieto2, Oscar, Etchebehere, Claudia, Martins Dellagnezze, Bruna, Bovio-Winkler, Patricia, Fochesatto, Gilberto, Tananaev, Nikita, Svenning, Mette, Seppey, Christophe, Tveit, Alexander, Chamy, Rolando, Soledad Astorga-España, María, Mansilla, Andrés, Van De Putte, Anton, Sweetlove, Maxime, Murray, Alison E, Cabrol, Léa
Format: Dataset
Language:English
Published: Dryad 2022
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.rfj6q57dp
https://datadryad.org/stash/dataset/doi:10.5061/dryad.rfj6q57dp
id ftdatacite:10.5061/dryad.rfj6q57dp
record_format openpolar
spelling ftdatacite:10.5061/dryad.rfj6q57dp 2024-06-09T07:44:21+00:00 A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle ... Barret, Maialen Gandois, Laure Thalasso, Frederic Martinez Cruz, Karla Sepulveda Jauregui, Armando Lavergne, Céline Teisserenc, Roman Aguilar, Polette Gerardo-Nieto2, Oscar Etchebehere, Claudia Martins Dellagnezze, Bruna Bovio-Winkler, Patricia Fochesatto, Gilberto Tananaev, Nikita Svenning, Mette Seppey, Christophe Tveit, Alexander Chamy, Rolando Soledad Astorga-España, María Mansilla, Andrés Van De Putte, Anton Sweetlove, Maxime Murray, Alison E Cabrol, Léa 2022 https://dx.doi.org/10.5061/dryad.rfj6q57dp https://datadryad.org/stash/dataset/doi:10.5061/dryad.rfj6q57dp en eng Dryad https://dx.doi.org/10.1016/j.envint.2021.106575 https://dx.doi.org/10.1016/j.scitotenv.2020.139588 https://dx.doi.org/10.1038/s41598-020-60394-8 https://dx.doi.org/10.5194/essd-12-457-2020 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Earth and related environmental sciences Methane Alaska Patagonia Siberia Biogeochemistry microbial diversity Lake wetland peatland Dataset dataset 2022 ftdatacite https://doi.org/10.5061/dryad.rfj6q57dp10.1016/j.envint.2021.10657510.1016/j.scitotenv.2020.13958810.1038/s41598-020-60394-810.5194/essd-12-457-2020 2024-05-13T11:14:43Z High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH4) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and microbial production/consumption balance. Holistic studies are mandatory to capture CH4 cycling complexity. Here, we report a large set of integrated microbial and biogeochemical data from 396 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 different 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 ... : This study focused on three regions located in subantarctic, arctic and subarctic latitudes. The field campaigns were conducted in 2016, during the respective summer for each region: January-February in Chilean Patagonia, June-July in Alaska and July-August in Siberia. For every site included in the present study, a set of nine qualitative environmental and/or ecological site-scale descriptors was selected and adapted from ENVO Environment Ontology, which included for example permafrost state, biome, environmental feature and vegetation type. The environmental features that are representative for the three regions were considered: lakes, wetlands, broadleaf/coniferous/mixed forest soils, grassland, tundra and palsa. All the metadata is included in the submitted dataset. A specific sampling strategy was defined for each kind of ecosystem, i.e. lakes, soils and wetlands. Details for field sampling, in situ (physiochemical analyses, dissolved CH4 and CO2 concentrations, atmospheric CH4 and CO2 emission rates, ... Dataset Arctic palsa permafrost Subarctic Tundra Alaska Siberia DataCite Metadata Store (German National Library of Science and Technology) Arctic Patagonia
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic FOS Earth and related environmental sciences
Methane
Alaska
Patagonia
Siberia
Biogeochemistry
microbial diversity
Lake
wetland
peatland
spellingShingle FOS Earth and related environmental sciences
Methane
Alaska
Patagonia
Siberia
Biogeochemistry
microbial diversity
Lake
wetland
peatland
Barret, Maialen
Gandois, Laure
Thalasso, Frederic
Martinez Cruz, Karla
Sepulveda Jauregui, Armando
Lavergne, Céline
Teisserenc, Roman
Aguilar, Polette
Gerardo-Nieto2, Oscar
Etchebehere, Claudia
Martins Dellagnezze, Bruna
Bovio-Winkler, Patricia
Fochesatto, Gilberto
Tananaev, Nikita
Svenning, Mette
Seppey, Christophe
Tveit, Alexander
Chamy, Rolando
Soledad Astorga-España, María
Mansilla, Andrés
Van De Putte, Anton
Sweetlove, Maxime
Murray, Alison E
Cabrol, Léa
A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle ...
topic_facet FOS Earth and related environmental sciences
Methane
Alaska
Patagonia
Siberia
Biogeochemistry
microbial diversity
Lake
wetland
peatland
description High latitudes are experiencing intense ecosystem changes with climate warming. The underlying methane (CH4) cycling dynamics remain unresolved, despite its crucial climatic feedback. Atmospheric CH4 emissions are heterogeneous, resulting from local geochemical drivers, global climatic factors, and microbial production/consumption balance. Holistic studies are mandatory to capture CH4 cycling complexity. Here, we report a large set of integrated microbial and biogeochemical data from 396 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 different 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 ... : This study focused on three regions located in subantarctic, arctic and subarctic latitudes. The field campaigns were conducted in 2016, during the respective summer for each region: January-February in Chilean Patagonia, June-July in Alaska and July-August in Siberia. For every site included in the present study, a set of nine qualitative environmental and/or ecological site-scale descriptors was selected and adapted from ENVO Environment Ontology, which included for example permafrost state, biome, environmental feature and vegetation type. The environmental features that are representative for the three regions were considered: lakes, wetlands, broadleaf/coniferous/mixed forest soils, grassland, tundra and palsa. All the metadata is included in the submitted dataset. A specific sampling strategy was defined for each kind of ecosystem, i.e. lakes, soils and wetlands. Details for field sampling, in situ (physiochemical analyses, dissolved CH4 and CO2 concentrations, atmospheric CH4 and CO2 emission rates, ...
format Dataset
author Barret, Maialen
Gandois, Laure
Thalasso, Frederic
Martinez Cruz, Karla
Sepulveda Jauregui, Armando
Lavergne, Céline
Teisserenc, Roman
Aguilar, Polette
Gerardo-Nieto2, Oscar
Etchebehere, Claudia
Martins Dellagnezze, Bruna
Bovio-Winkler, Patricia
Fochesatto, Gilberto
Tananaev, Nikita
Svenning, Mette
Seppey, Christophe
Tveit, Alexander
Chamy, Rolando
Soledad Astorga-España, María
Mansilla, Andrés
Van De Putte, Anton
Sweetlove, Maxime
Murray, Alison E
Cabrol, Léa
author_facet Barret, Maialen
Gandois, Laure
Thalasso, Frederic
Martinez Cruz, Karla
Sepulveda Jauregui, Armando
Lavergne, Céline
Teisserenc, Roman
Aguilar, Polette
Gerardo-Nieto2, Oscar
Etchebehere, Claudia
Martins Dellagnezze, Bruna
Bovio-Winkler, Patricia
Fochesatto, Gilberto
Tananaev, Nikita
Svenning, Mette
Seppey, Christophe
Tveit, Alexander
Chamy, Rolando
Soledad Astorga-España, María
Mansilla, Andrés
Van De Putte, Anton
Sweetlove, Maxime
Murray, Alison E
Cabrol, Léa
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 Dryad
publishDate 2022
url https://dx.doi.org/10.5061/dryad.rfj6q57dp
https://datadryad.org/stash/dataset/doi:10.5061/dryad.rfj6q57dp
geographic Arctic
Patagonia
geographic_facet Arctic
Patagonia
genre Arctic
palsa
permafrost
Subarctic
Tundra
Alaska
Siberia
genre_facet Arctic
palsa
permafrost
Subarctic
Tundra
Alaska
Siberia
op_relation https://dx.doi.org/10.1016/j.envint.2021.106575
https://dx.doi.org/10.1016/j.scitotenv.2020.139588
https://dx.doi.org/10.1038/s41598-020-60394-8
https://dx.doi.org/10.5194/essd-12-457-2020
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.rfj6q57dp10.1016/j.envint.2021.10657510.1016/j.scitotenv.2020.13958810.1038/s41598-020-60394-810.5194/essd-12-457-2020
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