Trevor Coates Ph.D.
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.
McGinn, S.M., Flesch, T.K., Coates, T.W., Charmley, E., Chen, D., Bai, M., Bishop-Hurley, G. (2015). Evaluating dispersion modeling options to estimate methane emissions from grazing beef cattle. Journal of Environmental Quality, [online] 44(1), 97-102. http://dx.doi.org/10.2134/jeq2014.06.02752015 - View publication details
McGinn, S.M., Coates, T., Flesch, T.K., Crenna, B. (2008). Ammonia emission from dairy cow manure stored in a lagoon over summer. Canadian Journal of Soil Science, [online] 88(4), 611-615. http://dx.doi.org/10.4141/CJSS080022008 - View publication details
McGinn, S.M., Flesch, T.K., Crenna, B.P., Beauchemin, K.A., Coates, T. (2007). Quantifying ammonia emissions from a cattle feedlot using a dispersion model. Journal of Environmental Quality, [online] 36(6), 1585-1590. http://dx.doi.org/10.2134/jeq2007.01672007 - View publication details