Soil respiration partitioning in afforested temperate peatlands

Files in This Item:
Access to this item has been restricted by the copyright holder until:2019-09-12
File Description SizeFormat 
BIOG-S-18-00027.pdf2.56 MBAdobe PDFDownload    Request a copy
Title: Soil respiration partitioning in afforested temperate peatlands
Authors: Jovani-Sancho, A. Jonay
Cummins, Thomas
Byrne, Kenneth A.
Permanent link: http://hdl.handle.net/10197/10136
Date: 12-Sep-2018
Online since: 2019-04-24T13:24:42Z
Abstract: Understanding and quantifying soil respiration and its component fluxes are necessary to model global carbon cycling in a changing climate as small changes in soil CO2 fluxes could have important implications for future climatic conditions. A soil respiration partitioning study was conducted in eight afforested peatland sites in south-west Ireland. Using trenched points, annual soil CO2 emissions, and the contributions of root and heterotrophic respiration as components of total soil respiration, were estimated. Nonlinear regression models were evaluated to determine the best predictive soil respiration model for each component flux, using soil temperature and water table level as explanatory variables. Temporal variation in soil CO2 efflux was driven by soil temperature at 10 cm depth, with all treatment points also affected by water table level fluctuations. The effect of water table level on soil respiration was best accounted for by incorporating a water level Gaussian function into the soil-temperature–soil-respiration model. Mean root respiration was 44% of mean total soil respiration, varying between 1100 and 2049 g CO2 m−2 year−1. Heterotrophic respiration was divided between peat respiration and litter respiration, which accounted for 35 and 21% of total soil respiration, respectively. While peat respiration varied between 774 and 1492 g CO2 m−2 year−1, litter respiration varied between 514 and 1013 g CO2 m−2 year−1. Although the extrapolation of these results to other sites should be done with caution, the empirical models developed for the entire dataset in this study are a useful tool to predict and simulate CO2 emissions in similar afforested peatlands (e.g. pine and spruce plantations) in temperate maritime climate conditions.
Funding Details: Department of Agriculture, Food and the Marine
Type of material: Journal Article
Publisher: Springer Nature America, Inc
Journal: Biogeochemistry
Volume: 141
Issue: 1
Start page: 1
End page: 21
Copyright (published version): 2018 Springer Nature Switzerland AG
Keywords: Autotrophic respirationHeterotrophic respirationLitter decompositionSoil CO2 effluxSitka spruceLodgepole pineBlanket peat
DOI: 10.1007/s10533-018-0496-0
Language: en
Status of Item: Peer reviewed
Appears in Collections:Agriculture and Food Science Research Collection

Show full item record

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.