| Literature DB >> 32979812 |
Kyle M Meyer1, Andrew H Morris2, Kevin Webster3, Ann M Klein4, Marie E Kroeger5, Laura K Meredith6, Andreas Brændholt7, Fernanda Nakamura8, Andressa Venturini8, Leandro Fonseca de Souza8, Katherine L Shek2, Rachel Danielson9, Joost van Haren10, Plinio Barbosa de Camargo8, Siu Mui Tsai8, Fernando Dini-Andreote11, José M S de Mauro12, Jos Barlow13, Erika Berenguer14, Klaus Nüsslein5, Scott Saleska7, Jorge L M Rodrigues9, Brendan J M Bohannan2.
Abstract
Amazonian rainforest is undergoing increasing rates of deforestation, driven primarily by cattle pasture expansion. Forest-to-pasture conversion has been associated with increases in soil methane (CH4) emission. To better understand the drivers of this change, we measured soil CH4 flux, environmental conditions, and belowground microbial community structure across primary forests, cattle pastures, and secondary forests in two Amazonian regions. We show that pasture soils emit high levels of CH4 (mean: 3454.6 ± 9482.3 μg CH4 m-2 d-1), consistent with previous reports, while forest soils on average emit CH4 at modest rates (mean: 9.8 ± 120.5 μg CH4 m-2 d-1), but often act as CH4 sinks. We report that secondary forest soils tend to consume CH4 (mean: -10.2 ± 35.7 μg CH4 m-2 d-1), demonstrating that pasture CH4 emissions can be reversed. We apply a novel computational approach to identify microbial community attributes associated with flux independent of soil chemistry. While this revealed taxa known to produce or consume CH4 directly (i.e. methanogens and methanotrophs, respectively), the vast majority of identified taxa are not known to cycle CH4. Each land use type had a unique subset of taxa associated with CH4 flux, suggesting that land use change alters CH4 cycling through shifts in microbial community composition. Taken together, we show that microbial composition is crucial for understanding the observed CH4 dynamics and that microorganisms provide explanatory power that cannot be captured by environmental variables.Entities:
Keywords: Amazon basin; Biodiversity-ecosystem function; Land use change; Methane; Methanogen; Methanotroph; Microbial ecology
Year: 2020 PMID: 32979812 DOI: 10.1016/j.envint.2020.106131
Source DB: PubMed Journal: Environ Int ISSN: 0160-4120 Impact factor: 9.621