Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Biology & Environmental Science
  4. Biology & Environmental Science Research Collection
  5. Insights into CO2 simulations from the Irish Blackwater peatland using ECOSSE model
 
  • Details
Options

Insights into CO2 simulations from the Irish Blackwater peatland using ECOSSE model

Author(s)
Premrov, Alina  
Wilson, David  
Saunders, Matthew  
Yeluripati, Jagadeesh  
Renou-Wilson, Florence  
Uri
http://hdl.handle.net/10197/11812
Date Issued
2020-05-08
Date Available
2020-12-14T09:00:52Z
Abstract
Non-degraded peatlands are known to be important carbon sink; however, if they are exposed to anthropogenic changes they can act as carbon source. This study forms a part of the larger AUGER project (http://www.ucd.ie/auger). It uses the ECOSSE process-based model to predict CO2 emissions [heterotrophic respiration (Rh)] associated with different peatland management (Smith et al., 2010). The work aims to provide preliminary insights into CO2 modelling procedures for drained and rewetted sites from Blackwater, the former Irish raised bog. After drainage in 1950’s (due to peat-extraction) and cessation of draining in 1999, the landscape developed drained ‘Bare Peat’ (BP), and rewetted ‘Reeds’ (R) and ‘Sedges’ (S) sites (Renou-Wilson et al., 2019). Modelling of CO2 from these sites was done using ECOSSE-v.6.2b model (‘site-specific’ mode) with water-table (WT) module (Smith et al., 2010), and default peatland vegetation parameters. The other model-input parameters (including soil respiration, WT and other soil parameters) were obtained from measurements reported in Renou-Wilson et al. (2019). Simulations on drained BP site were run starting from 1950 and on rewetted R and S sites starting from 1999 (which is the year of cessation of drainage). The climate data inputs (2010-2017) were obtained from ICHEC (EPA_Climate-WRF, 2019). The long-term average climate data for model spin-up were obtained from Met Éireann (2012) with potential evapotranspiration estimated by Thornthwaite (1948) method. Daily ecosystem respiration (Reco) data for May/June 2011 to Aug 2011 obtained from raw CO2 flux measurements (Renou-Wilson et al., 2019) were used. For vegetated sites Rh was estimated from Reco using method explained in Abdalla et al. (2014). Daily CO2 simulations were compared to Reco for BP site (r2 =0.20) and to Rh for R site (r2 = 0.35) and S site (r2 = 0.55). The preliminary results showed some underestimation of simulated CO2 indicating the need for further modelling refinements for satisfactory results. The results from BP site further indicated on the importance of including long-term drainage period (i.e. from 1950 on) because avoiding this step resulted in a large overestimation of predicted CO2.
Sponsorship
Environmental Protection Agency
Type of Material
Conference Publication
Publisher
Copernicus
Copyright (Published Version)
2020 the Authors
Subjects

Peatlands

Carbon sinks

Carbon dioxide emissi...

DOI
10.5194/egusphere-egu2020-8090
Web versions
https://www.egu2020.eu/
Language
English
Status of Item
Not peer reviewed
Conference Details
The EGU General Assembly 2020, Vienna, Austria (events to be held online due to coronavirus outbreak), 4-8 May 2020
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

Premrov_EGU2020-8090-print.pdf

Size

293.63 KB

Format

Adobe PDF

Checksum (MD5)

063c17713dfd34cefaf6b20ee984df32

Owning collection
Biology & Environmental Science Research Collection
Mapped collections
Climate Change Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement