Changes of crop failure risks in the United States associated with large-scale climate oscillations in the Atlantic and Pacific Oceans
Open Access
- 1 June 2020
- journal article
- research article
- Published by IOP Publishing in Environmental Research Letters
- Vol. 15 (6), 064035
- https://doi.org/10.1088/1748-9326/ab82cd
Abstract
Regions that produce a large supply of agriculture commodities can be susceptible to crop failure, thus causing concern for global food security. The contiguous United States, as one of the major agricultural producers in the world, is influenced by several large-scale climate oscillations that contribute to climate variability: Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), El-Nino Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and Pacific-North American (PNA). Since local weather conditions are associated with these climate oscillations through teleconnections, they are potentially causing changes of crop failure risks. The objective of this study is to assess climate-induced changes of annual crop failure risks for maize and winter wheat from 1960 to 2016, by analyzing the associations of large-scale climate oscillations with the frequency of crop failure in the rainfed regions of the United States using a Bayesian approach. The analysis revealed that crop failure frequencies showed contrast spatial patterns and different extent under different climate oscillation phases. Among individual oscillations, the positive PNA and negative AMO resulted in the most substantial increase in maize and winter wheat crop failures over a high percentage of climate divisions, respectively. Among oscillation combinations, the positive AMO and negative PDO and the positive AMO and positive PDO resulted in the highest percentage of climate divisions experiencing significant increase of maize and winter wheat crop failures, respectively. Random forest models with climate oscillations accurately predicted probabilities of crop failure, with the inclusion of local surface climate variables decreased or increased the predictive accuracy, depending on regions. These results revealed the plausible drivers of long-term changes of U.S. crop failure risks and underscore the importance for improving climate oscillation forecasting for early warning of food insecurity.Funding Information
- Division of Graduate Education (G00012677)
- National Institute of Food and Agriculture (G00012690)
- Alabama Agricultural Experiment Station
This publication has 69 references indexed in Scilit:
- Mechanisms of Tropical Atlantic SST Influence on North American Precipitation Variability*Journal of Climate, 2010
- Parameter estimation and uncertainty analysis of a large-scale crop model for paddy rice: Application of a Bayesian approachAgricultural and Forest Meteorology, 2009
- Use of climate indices to predict corn yields in southeast USAInternational Journal of Climatology, 2008
- What Causes Crop Failure?Climatic Change, 2007
- A Ricardian analysis of US and Canadian farmlandClimatic Change, 2007
- Climate impacts of the Atlantic Multidecadal OscillationGeophysical Research Letters, 2006
- Corn Hybrids for Late Planting in the SoutheastAgronomy Journal, 2004
- Interactions between the Atlantic Multidecadal Oscillation, El Niño/La Niña, and the PNA in winter Mississippi Valley stream flowGeophysical Research Letters, 2003
- The Atlantic Multidecadal Oscillation and its relation to rainfall and river flows in the continental U.S.Geophysical Research Letters, 2001
- Planting Date and Residue Rate Effects on Growth, Partitioning, and Yield of CornAgronomy Journal, 1996