Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3469-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
José I. Velazco
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Trevor W. Coates
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
Frances A. Phillips
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, NSW 2522, Australia
Thomas K. Flesch
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, T6G 2E3, AB, Canada
Julian Hill
Ternes Agricultural Consulting Pty Ltd, Upwey, VIC 3158, Australia
David G. Mayer
Agri-Science Queensland, Dutton Park, QLD 4102, Australia
Nigel W. Tomkins
CSIRO Agriculture, Australian Tropical Science and Innovation
Precinct, James Cook University, Townsville, QLD 4811, Australia
Roger S. Hegarty
School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
Deli Chen
Faculty of Veterinary and Agricultural Sciences, the University of
Melbourne, Parkville, VIC 3010, Australia
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Cited
10 citations as recorded by crossref.
- Polyphenol-Containing Feed Additive Polygain™ Reduces Methane Production and Intensity from Grazing Dairy Cows Measured Using an Inverse-Dispersion Technique M. Bai et al. 10.3390/ani15070926
- GrassGroTM simulation of pasture, animal performance and greenhouse emissions on low and high sheep productivity grazing systems: 1-year validation and 25-year analysis M. McPhee et al. 10.1016/j.animal.2024.101088
- Determination of methane emissions from biogas plants, using different quantification methods M. Hrad et al. 10.1016/j.agrformet.2022.109179
- Inferring methane emissions from African livestock by fusing drone, tower, and satellite data A. van Hove et al. 10.5194/bg-22-4163-2025
- Methane emissions from animal agriculture: Micrometeorological solutions for challenging measurement situations J. Laubach et al. 10.1016/j.agrformet.2024.109971
- Integrated-path multi-gas sensor using near-infrared diode lasers: An alternative to vehicle-driven point gas analyzer A. Ashik et al. 10.1016/j.snb.2024.135855
- Toward Effective Monitoring of Diffuse VOC Emissions: A Critical Discussion and Review of the Applications of EN 17628:2022 L. Carrera et al. 10.3390/s25051561
- Tracer Gas Method Evaluation for Assessing the Energy Potential of Biogas from Chicken Farms in the Canary Islands M. Asensio-Ramos et al. 10.3390/su16104168
- Characterizing Tracer Flux Ratio Methods for Methane Emission Quantification Using Small Unmanned Aerial System E. Alaba et al. 10.3390/methane4030018
- Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique K. Wolz et al. 10.1007/s00704-021-03868-7
9 citations as recorded by crossref.
- Polyphenol-Containing Feed Additive Polygain™ Reduces Methane Production and Intensity from Grazing Dairy Cows Measured Using an Inverse-Dispersion Technique M. Bai et al. 10.3390/ani15070926
- GrassGroTM simulation of pasture, animal performance and greenhouse emissions on low and high sheep productivity grazing systems: 1-year validation and 25-year analysis M. McPhee et al. 10.1016/j.animal.2024.101088
- Determination of methane emissions from biogas plants, using different quantification methods M. Hrad et al. 10.1016/j.agrformet.2022.109179
- Inferring methane emissions from African livestock by fusing drone, tower, and satellite data A. van Hove et al. 10.5194/bg-22-4163-2025
- Methane emissions from animal agriculture: Micrometeorological solutions for challenging measurement situations J. Laubach et al. 10.1016/j.agrformet.2024.109971
- Integrated-path multi-gas sensor using near-infrared diode lasers: An alternative to vehicle-driven point gas analyzer A. Ashik et al. 10.1016/j.snb.2024.135855
- Toward Effective Monitoring of Diffuse VOC Emissions: A Critical Discussion and Review of the Applications of EN 17628:2022 L. Carrera et al. 10.3390/s25051561
- Tracer Gas Method Evaluation for Assessing the Energy Potential of Biogas from Chicken Farms in the Canary Islands M. Asensio-Ramos et al. 10.3390/su16104168
- Characterizing Tracer Flux Ratio Methods for Methane Emission Quantification Using Small Unmanned Aerial System E. Alaba et al. 10.3390/methane4030018
Latest update: 29 Oct 2025
Short summary
The development and validation of management practices to mitigate methane (CH4) emissions from livestock require accurate emission measurements. We compared the inverse dispersion modelling (IDM) and tracer-ratio techniques to measure CH4 emissions from cattle. Both measurements agreed well but were higher than IPCC estimates. We suggest that the IDM approach can provide an accurate method of estimating cattle emissions, and IPCC estimates may have larger uncertainties.
The development and validation of management practices to mitigate methane (CH4) emissions from...