Climate change has sparked growing interest in the relationship between food security and
our climate systems. Crop productivity is tightly correlated with fluctuating temperatures, carbon
dioxide (CO2), and rainfall. The purpose of this research is to examine the quantitative relationship
between these factors to better understand the magnitude of global systematic risk. Econometric
models are constructed for three different contexts: a global analysis of country-level crop yields
is explored using a fixed-effects panel regression model; a meta-analysis of farm-level experiments
exposed to varying levels of CO2 and temperatures; and a regional analysis of Saskatchewan rural
municipalities using a spatial dataset of historical weather data. In summary, reduced yields occur
beyond peak thresholds of temperature and rising CO2 will lead to substantial increases in yield
potential and reduced water use. These relationships vary in magnitude across crop species, but
the underlying direction of the relationships are the same. This research improves upon previous
methods in the literature, explores novel datasets, and contributes to the estimation of climate
impacts in agriculture. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/14080 |
| Date | 22 July 2022 |
| Creators | McLachlan, Brennan A. |
| Contributors | van Kooten, G. C. |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
| Rights | Available to the World Wide Web |
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