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

Maialen Barret, Laure Gandois, Frederic Thalasso, Karla Martinez Cruz, Armando Sepulveda Jauregui, Céline Lavergne, Roman Teisserenc, Polette Aguilar, Oscar Gerardo Nieto, Claudia Etchebehere, Bruna Martins Dellagnezze, Patricia Bovio Winkler, Gilberto J. Fochesatto, Nikita Tananaev, Mette M. Svenning, Christophe Seppey, Alexander Tveit, Rolando Chamy, María Soledad Astorga España, Andrés MansillaAnton Van de Putte, Maxime Sweetlove, Alison E. Murray, Léa Cabrol

Research output: Contribution to journalArticlepeer-review

Abstract

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 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.

Original languageEnglish
Article number674
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

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