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Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence

Authors :
María Arróniz-Crespo
Simon Oakley
Kelly E. Mason
Lorna E. Street
Nick Ostle
David L. Jones
Thomas H. DeLuca
Source :
Mason, K, Oakley, S, Street, L, Arróniz-Crespo, M, Jones, D, DeLuca, T & Ostle, N 2019, ' Boreal forest floor greenhouse gas emissions across a Pleurozium schreberi-dominated, wildfire-disturbed chronosequence ', Ecosystems . https://doi.org/10.1007/s10021-019-00344-2
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

The boreal forest is a globally critical biome for carbon cycling. Its forests are shaped by wildfire events that affect ecosystem properties and climate feedbacks including greenhouse gas (GHG) emissions. Improved understanding of boreal forest floor processes is needed to predict the impacts of anticipated increases in fire frequency, severity, and extent. In this study, we examined relationships between time since last wildfire (TSF), forest floor soil properties, and GHG emissions (CO2, CH4, N2O) along a Pleurozium schreberi-dominated chronosequence in mid- to late succession located in northern Sweden. Over three growing seasons in 2012–2014, GHG flux measurements were made in situ and samples were collected for laboratory analyses. We predicted that P. schreberi-covered forest floor GHG fluxes would be related to distinct trends in the soil properties and microbial community along the wildfire chronosequence. Although we found no overall effect of TSF on GHG emissions, there was evidence that soil C/N, one of the few properties to show a trend with time, was inversely linked to ecosystem respiration. We also found that local microclimatic conditions and site-dependent properties were better predictors of GHG fluxes than TSF. This shows that site-dependent co-variables (that is, forest floor climate and plant-soil properties) need to be considered as well as TSF to predict GHG emissions as wildfires become more frequent, extensive and severe.

Details

ISSN :
14350629 and 14329840
Volume :
22
Database :
OpenAIRE
Journal :
Ecosystems
Accession number :
edsair.doi.dedup.....b5a5c92cf8995ff3c69e3ef46df8e963
Full Text :
https://doi.org/10.1007/s10021-019-00344-2