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Belowground changes to community structure alter methane-cycling dynamics in Amazonia

Authors :
Ann M. Klein
Fernanda Nakamura
Andreas Braendholt
Andrew H. Morris
Plínio Barbosa de Camargo
Brendan J. M. Bohannan
Kyle M. Meyer
Rachel E. Danielson
Leandro Fonseca de Souza
Joost van Haren
Jose M.S. de Mauro
Katherine L. Shek
Siu Mui Tsai
Jorge L. M. Rodrigues
Marie E Kroeger
Fernando Dini-Andreote
Erika Berenguer
Scott R. Saleska
Andressa Monteiro Venturini
Jos Barlow
Kevin D. Webster
Laura Meredith
Klaus Nüsslein
Source :
Environment International, Vol 145, Iss, Pp 106131-(2020), Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Publication Year :
2020
Publisher :
eScholarship, University of California, 2020.

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±9482.3μg CH4 m-2 d-1), consistent with previous reports, while forest soils on average emit CH4 at modest rates (mean: 9.8±120.5μg CH4 m-2 d-1), but often act as CH4 sinks. We report that secondary forest soils tend to consume CH4 (mean: -10.2±35.7μg 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.

Details

Database :
OpenAIRE
Journal :
Environment International, Vol 145, Iss, Pp 106131-(2020), Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Accession number :
edsair.doi.dedup.....7528a04bfc94eb4beee203a376bc6896