This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Deteriorating climate conditions for Australian wheat production
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Abstract
Wheat yields are highly sensitive to climate extremes, but previous studies risk underestimating their influence due to a reliance on highly aggregated agricultural data. Here we combine nationwide farm-level agricultural data with machine learning to identify the key drivers of Australian wheat yield and assess how climate conditions for wheat production have changed over recent decades. We find that extreme events dominate climate impacts on wheat yield and explain 53-74% of yield variability across Australia’s wheat-growing states, with drought and late-season heatwaves having the largest impacts. This influence of extremes is more than double the estimates reported in previous studies that use spatially aggregated yield data. Between 1970 and 2020, 72% of the Australian wheat belt experienced a significant increase in growing season drought days, and over 90% experienced a significant increase in late-season heatwave intensity. These trends have driven a deterioration in Australia’s wheat-growing climate conditions. Advances in agronomic technology and management practices have so far offset this deterioration, masking emerging climate risks to production in one of the world's major wheat-exporting nations. Because Australia is a key supplier to global wheat markets, these risks extend beyond domestic production and threaten global food security. Our findings highlight the need to strengthen the resilience of Australian wheat production to protect both local and global wheat supplies.
DOI
https://doi.org/10.31223/X5D818
Subjects
Climate
Keywords
Dates
Published: 2026-10-14 15:57
Last Updated: 2026-10-14 15:57
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The yield data from Farm-level Longitudinal Agricultural Dataset (FLAD) used in this study is not publicly available. All other data used is publicly available.
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