Functional microbial ecology in arctic soils: the need for a year-round perspective

• Published in: FEMS Microbiology Ecology
• Main Authors: Poppeliers, Sanne W M, Hefting, Mariet, Dorrepaal, Ellen, Weedon, James T
• Other Authors: NWO, Swedish Research Council
• Format: Article in Journal/Newspaper
• Language: English
• Published: Oxford University Press (OUP) 2022
• Subjects: Arctic; Climate change; Subarctic
• Online Access: http://dx.doi.org/10.1093/femsec/fiac134; https://academic.oup.com/femsec/advance-article-pdf/doi/10.1093/femsec/fiac134/47009176/fiac134.pdf; https://academic.oup.com/femsec/article-pdf/98/12/fiac134/47309523/fiac134.pdf

Abstract The microbial ecology of arctic and sub-arctic soils is an important aspect of the global carbon cycle, due to the sensitivity of the large soil carbon stocks to ongoing climate warming. These regions are characterized by strong climatic seasonality, but the emphasis of most studies on the short vegetation growing season could potentially limit our ability to predict year-round ecosystem functions. We compiled a database of studies from arctic, subarctic, and boreal environments that include sampling of microbial community and functions outside the growing season. We found that for studies comparing across seasons, in most environments, microbial biomass and community composition vary intra-annually, with the spring thaw period often identified by researchers as the most dynamic time of year. This seasonality of microbial communities will have consequences for predictions of ecosystem function under climate change if it results in: seasonality in process kinetics of microbe-mediated functions; intra-annual variation in the importance of different (a)biotic drivers; and/or potential temporal asynchrony between climate change-related perturbations and their corresponding effects. Future research should focus on (i) sampling throughout the entire year; (ii) linking these multi-season measures of microbial community composition with corresponding functional or physiological measurements to elucidate the temporal dynamics of the links between them; and (iii) identifying dominant biotic and abiotic drivers of intra-annual variation in different ecological contexts.