Abstract

While renewable biofuels can reduce negative effects of fossil fuel energy consumption, the magnitude of their benefits depends on the magnitude of N2O emissions. High variability of N2O emissions overpowers efforts to curb uncertainties in estimating N2O fluxes from biofuel systems. In this study, we explored (a) N2O production via bacterial denitrification and (b) N2O emissions from soils under several contrasting bioenergy cropping systems, with specific focus on explaining N2O variations by accounting for soil pore characteristics. Intact soil samples were collected after 9years of implementing five biofuel systems: continuous corn with and without winter cover crop, monoculture switchgrass, poplars, and early-successional vegetation. After incubation, N2O emissions were measured and bacterial denitrification was determined based on the site-preference method. Soil pore characteristics were quantified using X-ray computed microtomography. Three bioenergy systems with low plant diversity, that is, corn and switchgrass systems, had low porosities, low organic carbon contents, and large volumes of poorly aerated soil. In these systems, greater volumes of poorly aerated soil were associated with greater bacterial denitrification, which in turn was associated with greater N2O emissions (R-2=0.52, p<0.05). However, the two systems with high plant diversity, that is, poplars and early-successional vegetation, over the 9years of implementation had developed higher porosities and organic carbon contents. In these systems, volumes of poorly aerated soil were positively associated with N2O emissions without a concomitant increase in bacterial denitrification. Our results suggest that changes in soil pore architecture generated by long-term implementation of contrasting bioenergy systems may affect the pathways of N2O production, thus, change associations between N2O emissions and other soil properties. Plant diversity appears as one of the factors determining which microscale soil characteristics will influence the amounts of N2O emitted into the atmosphere and, thus, which can be used as effective empirical predictors.

Keywords

bacterial denitrification; computed microtomography; particulate organic matter; plant diversity; site-preference analysis; soil pore size distributions

Published in

GCB Bioenergy
2018, Volume: 10, number: 11, pages: 894-909
Publisher: WILEY

SLU Authors

• Koestel, Johannes

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

Sustainable Development Goals

SDG7 Ensure access to affordable, reliable, sustainable and modern energy for all
SDG12 Ensure sustainable consumption and production patterns


UKÄ Subject classification

Soil Science
Renewable Bioenergy Research


Publication identifier

DOI: https://doi.org/10.1111/gcbb.12552

Permanent link to this page (URI)

https://res.slu.se/id/publ/96876