Trevor Coates Ph.D.

Image Trevor Ward Coates
Research Scientist

My role is to lead and collaborate on research projects which lead to a better understanding of air quality and greenhouse gas emissions from agricultural sources.

Current research and/or projects

Current Research is focused on the use of precision agricultural technologies, remote sensing tools and micrometeorological techniques to measure agriculture’s environmental impacts, support greenhouse gas mitigation solutions and reduce agricultural losses.

Research and/or project statements

  • weather and climate data research and research support
  • development of improved methodologies to measure farm-scale greenhouse gas emissions
  • the use of smart technology to improve measurement of enteric methane emissions from cattle
  • the use of eddy covariance to monitor the carbon balance of agricultural systems

Professional activities / interests

  • Agricultural meteorology
  • Micrometeorological measurement techniques
  • Agricultural greenhouse gas fluxes
  • Enteric methane emission measurement

Education and awards

PhD, Agricultural Sciences, University of Melbourne

MSc, Agricultural and Bioresource Engineering, University of Saskatchewan

BSc, Biological Sciences / Geography, University of Lethbridge

International experience and/or work

Measurement of cattle emissions from Australian feedlots and rangelands.

Key publications

Cartwright, Laura; Zammit-Mangion, Andrew; Bhatia, Sangeeta; Schroder, Ivan; Phillips, Frances A; Coates, Trevor; Negandhi, Karita; Naylor, Travis A; Kennedy, Martin; Zegelin, Steve; 2019 Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment Atmos. Meas. Tech. 12: 4659–4676,


Coates,T.,  Marcelo A. Benvenutti, Thomas K. Flesch, Ed Charmley, Sean M. McGinn, and Deli Chen. 2018. Applicability of Eddy Covariance to Estimate Methane Emissions from Grazing Cattle. J. Environ. Qual. 47(1);54-61


Feitz, A., Schroder, I., Phillips, F., Coates, T., Negandhi, K., et al.  2018. The Ginninderra CH4 and CO2 release experiment: An evaluation of gas detection and quantification techniques. International Journal of Greenhouse Gas Control 70: 202-224.


Coates, T.W., Flesch, T.K., McGinn, S.M., Charmley, E. and Chen, D., 2017. Evaluating an eddy covariance technique to estimate point-source emissions and its potential application to grazing cattle. Agric. For. Meteorol., 234–235: 164-171.


Hacker, J.M., Chen, D., Bai, M., Ewenz, C., Junkermann, W., Lieff, W., McManus, B., Neininger, B., Sun, J. and Coates, T., 2016. Using airborne technology to quantify and apportion emissions of CH4 and NH3 from feedlots. Anim. Prod. Sci., 56(3): 190-203.


McGinn, S.M., Janzen, H.H., Coates, T.W., Beauchemin, K.A. and Flesch, T.K., 2016. Ammonia Emission from a Beef Cattle Feedlot and Its Local Dry Deposition and Re-Emission. J. Environ. Qual.


Shen, J., Chen, D., Bai, M., Sun, J., Coates, T., Lam, S.K. and Li, Y., 2016. Ammonia deposition in the neighbourhood of an intensive cattle feedlot in Victoria, Australia. Scientific Reports, 6:32793. 


Benvenutti, M., Coates, T., Imaz, A., Flesch, T., Hill, J., Charmley, E., Hepworth, G. and Chen, D., 2015. The use of image analysis to determine the number and position of cattle at a water point. Comput. Electron. Agric., 118: 24-27.


McGinn, S.M., Flesch, T.K., Coates, T.W., Charmley, E., Chen, D., Bai, M. and Bishop-Hurley, G., 2015. Evaluating Dispersion Modeling Options to Estimate Methane Emissions from Grazing Beef Cattle. J. Environ. Qual., 44(1): 97-102


Coates, T., Benvenutti, M., Chen, D., Flesch, T. and Charmley, E., 2014. A Year In The Life: The Challenges Of Long Term Methane Flux Measurements On A Cattle-Grazed Landscape, Optical Instrumentation for Energy and Environmental Applications. Optical Society of America, pp. ETh2A.2


McGinn, S.M., Beauchemin, K.A., Coates, T. and McGeough, E.J., 2014. Cattle Methane Emission and Pasture Carbon Dioxide Balance of a Grazed Grassland. J. Environ. Qual., 43(3): 820-828.