Literature DB >> 25634732

Modelling carbon and water exchange of a grazed pasture in New Zealand constrained by eddy covariance measurements.

Miko U F Kirschbaum1, Susanna Rutledge2, Isoude A Kuijper3, Paul L Mudge4, Nicolas Puche3, Aaron M Wall2, Chris G Roach5, Louis A Schipper2, David I Campbell2.   

Abstract

We used two years of eddy covariance (EC) measurements collected over an intensively grazed dairy pasture to better understand the key drivers of changes in soil organic carbon stocks. Analysing grazing systems with EC measurements poses significant challenges as the respiration from grazing animals can result in large short-term CO2 fluxes. As paddocks are grazed only periodically, EC observations derive from a mosaic of paddocks with very different exchange rates. This violates the assumptions implicit in the use of EC methodology. To test whether these challenges could be overcome, and to develop a tool for wider scenario testing, we compared EC measurements with simulation runs with the detailed ecosystem model CenW 4.1. Simulations were run separately for 26 paddocks around the EC tower and coupled to a footprint analysis to estimate net fluxes at the EC tower. Overall, we obtained good agreement between modelled and measured fluxes, especially for the comparison of evapotranspiration rates, with model efficiency of 0.96 for weekly averaged values of the validation data. For net ecosystem productivity (NEP) comparisons, observations were omitted when cattle grazed the paddocks immediately around the tower. With those points omitted, model efficiencies for weekly averaged values of the validation data were 0.78, 0.67 and 0.54 for daytime, night-time and 24-hour NEP, respectively. While not included for model parameterisation, simulated gross primary production also agreed closely with values inferred from eddy covariance measurements (model efficiency of 0.84 for weekly averages). The study confirmed that CenW simulations could adequately model carbon and water exchange in grazed pastures. It highlighted the critical role of animal respiration for net CO2 fluxes, and showed that EC studies of grazed pastures need to consider the best approach of accounting for this important flux to avoid unbalanced accounting.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  CenW; Evapotranspiration; Grazing; Net ecosystem exchange; Net ecosystem productivity; Photosynthesis; Respiration

Year:  2015        PMID: 25634732     DOI: 10.1016/j.scitotenv.2015.01.045

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Implications of accounting for management intensity on carbon and nitrogen balances of European grasslands.

Authors:  Jan Blanke; Niklas Boke-Olén; Stefan Olin; Jinfeng Chang; Ullrika Sahlin; Mats Lindeskog; Veiko Lehsten
Journal:  PLoS One       Date:  2018-08-13       Impact factor: 3.240

Review 2.  Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network.

Authors:  Jason Beringer; Caitlin E Moore; Jamie Cleverly; David I Campbell; Helen Cleugh; Martin G De Kauwe; Miko U F Kirschbaum; Anne Griebel; Sam Grover; Alfredo Huete; Lindsay B Hutley; Johannes Laubach; Tom Van Niel; Stefan K Arndt; Alison C Bennett; Lucas A Cernusak; Derek Eamus; Cacilia M Ewenz; Jordan P Goodrich; Mingkai Jiang; Nina Hinko-Najera; Peter Isaac; Sanaa Hobeichi; Jürgen Knauer; Georgia R Koerber; Michael Liddell; Xuanlong Ma; Craig Macfarlane; Ian D McHugh; Belinda E Medlyn; Wayne S Meyer; Alexander J Norton; Jyoteshna Owens; Andy Pitman; Elise Pendall; Suzanne M Prober; Ram L Ray; Natalia Restrepo-Coupe; Sami W Rifai; David Rowlings; Louis Schipper; Richard P Silberstein; Lina Teckentrup; Sally E Thompson; Anna M Ukkola; Aaron Wall; Ying-Ping Wang; Tim J Wardlaw; William Woodgate
Journal:  Glob Chang Biol       Date:  2022-03-22       Impact factor: 13.211

  2 in total

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