Improving the detection of agricultural drought: a case study of illinois corn production |
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| Affiliation: | 1. Wunschbaby Institut Feichtinger, Lainzerstrasse 6, 1130 Vienna, Austria;2. Department of Obstetrics and Gynaecology, Division of Gynecologic Endocrinology and Reproductive Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria;3. IVF Unit, Cervesi Hospital Cattolica, Cattolica, 47841 Rimini, Italy;1. School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China;2. Department of Infrastructure Engineering, The University of Melbourne, Melbourne 3010, Australia;3. Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China;4. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of information Science and Technology, Nanjing 210044, China;5. Natural Hazards Section, Himalayan Risk Research Institute, Bhaktapur 44800, Nepal;6. Department of Atmospheric and Oceanic Sciences/Institutes of Atmospheric Sciences, Fudan University, Shanghai 200433, China;7. Shanghai Qi Zhi Institute, Shanghai 200232, China |
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| Abstract: | Too little attention has been given to the manner in which drought detection and monitoring indices are applied in agricultural settings. In this research, results of an Illinois corn-weather sensitivity analysis were used to select values of the moisture anomaly index (MAI or z) and related Palmer drought severity index (PDSI or X) to match periods of maximum moisture (i.e., drought) sensitivity in the corn growing season. These partial growing season values were compared with their equivalent growing season average for 12 Illinois sites to evaluate which were most effective in explaining interannual variations in detrended corn yields. Results indicate that the Palmer indices calculated for only the peak corn moisture sensitivity periods, outperformed the mean growing season Palmer indices in accounting for 1960–1983 interannual variations in corn yields by a factor of more than two. |
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