Temporal and Spatial Impacts of Extreme Weather Events on Winter Wheat and Milling Oat Yields in Southern Ontario

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  • This is a comprehensive study of extreme weather events in southern Ontario from 1950 to 2017, and their impacts on winter wheat and oat yields. Trends in temperature and precipitation were evaluated annually and seasonally. There were significant shifts toward increased warming, growing season length, and the frequency of precipitation events. Warm and precipitation extremes are increasing in intensity, duration, and magnitude. Random Forest regression was used to investigate how different extreme weather indices were related to winter wheat crop yield, across crop pheno-phases and controlling for soil texture. Crop-specific indices were important indicators, explaining 40% of yield variance. Winter Warming Index was the most important index in the RF model, linked to a 72% increase in mean square error when removed. Changing extreme weather distributions in southern Ontario seems to be increasing potential negative impacts on farming winter wheat and milling oats, so adaptive plans should be considered.

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  • Copyright © 2022 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2022


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