A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle

• Published in: Scientific Data
• Main Authors: Barret, Maialen, Gandois, Laure, Thalasso, Frederic, Martinez Cruz, Karla, Sepulveda Jauregui, Armando, Lavergne, Céline, Teisserenc, Roman, Aguilar, Polette, Gerardo Nieto, Oscar, Etchebehere, Claudia, Martins Dellagnezze, Bruna, Bovio Winkler, Patricia, Fochesatto, Gilberto, Tananaev, Nikita, Svenning, Mette, Seppey, Christophe, Tveit, Alexander, Chamy, Rolando, Astorga España, María Soledad, Mansilla, Andrés, van de Putte, Anton, Sweetlove, Maxime, Murray, Alison, Cabrol, Léa
• Other Authors: Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: [SDE]Environmental Sciences; Patagonia; Tundra; Alaska; Siberia
• Online Access: https://hal-amu.archives-ouvertes.fr/hal-03993305; https://hal-amu.archives-ouvertes.fr/hal-03993305/document; https://hal-amu.archives-ouvertes.fr/hal-03993305/file/AI_2022_Tsirintanis_etal.pdf; https://doi.org/10.1038/s41597-022-01759-8

Abstract 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 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 emissions, organic matter characterization, trace elements and nutrients, isotopes, microbial quantification 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 high-latitudes.