A combined microbial and biogeochemical dataset from high-latitude ecosystems with respect to methane cycle
Barret, Maialet
Universite de Toulouse
Gandois, Laure
Universite de Toulouse
Thalasso, Frederic
CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional
Lavergne, Celine
Universidad de Playa Ancha
Teisserenc, Roman
Universite de Toulouse
Aguilar, Polette
Universidad de Playa Ancha
Gerardo Nieto, Oscar
CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional
Etchebehere, Claudia
Biological Res Inst Clemente Estable
Martins Dellagnezze, Bruna
Biological Res Inst Clemente Estable
Bovio Winkler, Patricia
Biological Res Inst Clemente Estable
Fochesatto, Gilberto J.
University of Alaska System
Tananaev, Nikita
Melnikov Permafrost Institute, Siberian Branch of the RAS
Svenning, Mette M.
UiT The Arctic University of Tromso
Seppey, Christophe
UiT The Arctic University of Tromso
Tveit, Alexander
UiT The Arctic University of Tromso
Chamy, Rolando
Pontificia Universidad Catolica de Valparaiso
Van de Putte, Anton
Royal Belgian Institute of Natural Sciences
Sweetlove, Maxime
Royal Belgian Institute of Natural Sciences
Murray, Alison E.
Nevada System of Higher Education (NSHE)
Cabrol, Lea
Centre National de la Recherche Scientifique (CNRS)
Journal
Scientific Data
ISSN
2052-4463
Open Access
gold
Volume
9
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.
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