Spatiotemporal Assessment of Drought Related to Soybean Production and Sensitivity Analysis in Northeast China

• Published in: Journal of applied meteorology and climatology 2017-04, Vol.56 (4), p.937-952
• Main Authors: Yang, XiaoJuan, Liu, Yuan, Bai, Wei, Liu, BuChun
• Format: Article
• Language: English
• Subjects: Agriculture; Air temperature; Area; Atmospheric precipitations; Climate; Climate change; Climatology; Corn; Crop evapotranspiration; Crop production; Crop water; Crops; Disasters; Drought; Engineering; Evapotranspiration; Humidity; Information dissemination; Kriging interpolation; Laboratories; Management; Meteorological data; Precipitation; Relative humidity; Science; Seedlings; Sensitivity analysis; Soybeans; Spatial analysis; Statistical analysis; Statistical methods; Statistics; Studies; Sunlight; Sustainable development; Temperature effects; Variables; Water deficit; Water temperature; Weather; Weather stations; Wind speed
• ISSN: 1558-8424; 1558-8432
• DOI: 10.1175/JAMC-D-16-0195.1

Drought is a typical disaster in the main soybean production area of northeast China. The spatiotemporal variations of drought related to soybean production based on a crop water deficit index (CWDI) and sensitivity to meteorological variables were investigated in northeast China using daily meteorological data from 87 weather stations from 1981 to 2010. Statistical analysis revealed that precipitation could not meet the water demands of soybeans during the seedling–branching, filling, and maturing stages, and excessive drought occurred more often in northeast China. The Mann–Kendall test indicated that the soybean CWDI significantly increased during the filling stage. Kriging spatial analysis showed that the most drought-prone area was located in the west of northeast China. Explanations for the spatiotemporal variations of the drought for soybean production were explored in terms of meteorological variables. Statistical analysis showed that the crop evapotranspiration, air temperature, wind speed, and number of sunshine hours were significantly higher and the precipitation and relative humidity were significantly lower in the drought-prone area than in the dry area less prone to droughts. An explored method of sensitive analysis quantitatively revealed that precipitation and humidity negatively affected the CWDI, whereas temperature, wind speed, and number of sunshine hours positively affected the CWDI. The CWDI was most sensitive to precipitation. These results not only provide valuable information for soybean planning and management but also produce important background and physical evidence for the influence of climate on the drought related to soybean production in northeast China.