Affiliation:
1. Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China
2. University of Chinese Academy of Sciences Beijing China
3. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science & Technology Nanjing China
Abstract
AbstractUnderstanding how climate variability affects oilseed yields is crucial for ensuring a stable oil supply in regions such as China, where self‐sufficiency in edible vegetable oils is low. Here, we found coherent patterns in the interannual variability of Sea Surface Temperature (SST) anomalies and percent crop yield anomalies in the three ocean basins, and then quantified the contribution of these SST modes to oilseed crop yield anomalies. Our analysis revealed that, at the national level, the six tropical SST modes collectively accounted for 51% of soybean, 52% of rapeseed, and 33% of peanut yield anomalies in China. Tropical Indian Ocean variability exerts the greatest impact on soybean and peanut yield variability, whereas the most significant impact on rapeseed yield anomalies is attributed to El Niño‐Southern Oscillation. Finally, this study examined the specific ways in which changes in SST modes can affect oilseed crop yields using changes in local meteorological variables. Our findings revealed the relationship between tropical SST variability and oilseed crop yields, providing a detailed understanding of the diverse connections between SST modes and oilseed crop yield. This study deepens our knowledge of the influence of climate variability on agriculture, offering valuable insights for devising strategies to mitigate the adverse effects of climate variability on oilseed crop production in China.
Publisher
American Geophysical Union (AGU)