Effects of bio-based residue amendments on greenhouse gas emission from agricultural soil are stronger than effects of soil type with different microbial community composition

Ho, A., Ijaz, U. Z. , Janssens, T. K.S., Ruijs, R., Kim, S. Y., de Boer, W., Termorshuizen, A., van der Putten, W. H. and Bodelier, P. L.E. (2017) Effects of bio-based residue amendments on greenhouse gas emission from agricultural soil are stronger than effects of soil type with different microbial community composition. GCB Bioenergy, 9(12), pp. 1707-1720. (doi:10.1111/gcbb.12457)

[img]
Preview
Text
144100.pdf - Published Version
Available under License Creative Commons Attribution.

541kB

Abstract

With the projected rise in the global human population, agriculture intensification and land-use conversion to arable fields is anticipated to meet the food and bio-energy demand to sustain a growing population. Moving towards a circular economy, agricultural intensification results in the increased re-investment of bio-based residues in agricultural soils, with consequences for microbially mediated greenhouse gas (GHG) emission, as well as other aspects of soil functioning. To date, systematic studies to address the impact of bio-based residue amendment on the GHG balance, including the soil microorganisms, and nutrient transformation in agricultural soils are scarce. Here, we assess the global warming potential (GWP) of in situ GHG (i.e., CO2, CH4, and N2O) fluxes after application of six bio-based residues with broad C : N ratios (5–521) in two agricultural soils (sandy loam and clay; representative of vast production areas in north-western Europe). We relate the GHG emission to the decomposability of the residues in a litter bag assay and determined the effects of residue input on crop (common wheat) growth after incubation. The shift in the bacterial community composition and abundance was monitored using IonTorrentTM sequencing and qPCR, respectively, by targeting the 16S rRNA gene. The decomposability of the residues, independent of C : N ratio, was proportional to the GWP derived from the GHG emitted. The soils harbored distinct bacterial communities, but responded similarly to the residue amendments, because both soils exhibited the highest mean GWP after addition of the same residues (sewage sludge, aquatic plant material, and compressed beet leaves). Our results question the extent of using the C : N ratio alone to predict residue-induced response in GHG emission. Taken together, we show that although soil properties strongly affect the bacterial community composition, microbially mediated GHG emission is residue dependent.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ijaz, Dr Umer Zeeshan
Authors: Ho, A., Ijaz, U. Z., Janssens, T. K.S., Ruijs, R., Kim, S. Y., de Boer, W., Termorshuizen, A., van der Putten, W. H., and Bodelier, P. L.E.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:GCB Bioenergy
Publisher:Wiley
ISSN:1757-1693
ISSN (Online):1757-1707
Published Online:25 May 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in GCB Bioenergy 9(12): 1707-1720
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
652771Understanding microbial community through in situ environmental 'omic data synthesisUmer Zeeshan IjazNatural Environment Research Council (NERC)NE/L011956/1ENG - ENGINEERING INFRASTRUCTURE & ENVIR