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Community structure - Ecosystem function relationships in the Congo Basin methane cycle depend on the physiological scale of function.

Authors :
Meyer KM
Hopple AM
Klein AM
Morris AH
Bridgham SD
Bohannan BJM
Source :
Molecular ecology [Mol Ecol] 2020 May; Vol. 29 (10), pp. 1806-1819. Date of Electronic Publication: 2020 May 26.
Publication Year :
2020

Abstract

Belowground ecosystem processes can be highly variable and difficult to predict using microbial community data. Here, we argue that this stems from at least three issues: (a) complex covariance structure of samples (with environmental conditions or spatial proximity) can make distinguishing biotic drivers a challenge; (b) communities can control ecosystem processes through multiple mechanisms, making the identification of these controls a challenge; and (c) ecosystem function assessments can be broad in physiological scale, encapsulating multiple processes with unique microbially mediated controls. We test these assertions using methane (CH <subscript>4</subscript> )-cycling processes in soil samples collected along a wetland-to-upland habitat gradient in the Congo Basin. We perform our measurements of function under controlled laboratory conditions and statistically control for environmental covariates to aid in identifying biotic drivers. We divide measurements of microbial communities into four attributes (abundance, activity, composition, and diversity) that represent different forms of community control. Lastly, our process measurements differ in physiological scale, including broader processes (gross methanogenesis and methanotrophy) that involve more mediating groups, to finer processes (hydrogenotrophic methanogenesis and high-affinity CH <subscript>4</subscript> oxidation) with fewer mediating groups. We observed that finer scale processes can be more readily predicted from microbial community structure than broader scale processes. In addition, the nature of those relationships differed, with broad processes limited by abundance while fine-scale processes were associated with diversity and composition. These findings demonstrate the importance of carefully defining the physiological scale of ecosystem function and performing community measurements that represent the range of possible controls on ecosystem processes.<br /> (© 2020 John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1365-294X
Volume :
29
Issue :
10
Database :
MEDLINE
Journal :
Molecular ecology
Publication Type :
Academic Journal
Accession number :
32285532
Full Text :
https://doi.org/10.1111/mec.15442