Spatial-Temporal Characteristics of Spring Maize Drought in Songnen Plain, Northeast China

With the intensification of global warming, food production will face serious drought risk. In view insufficient applicability existing crop index, a standardized water deficit index (SCWDI) was constructed based on construction idea precipitation evapotranspiration (SPEI) and (CWDI) in this study. On basis, spatial temporal characteristics spring maize Songnen Plain were explored by slope trend analysis Morlet wavelet methods. The results show following: (1) Compared with SCWDI shows obvious advantages monitoring maize. (2) whole growth stage maize, change small series (−0.012/10a). Spatially, mainly decreasing (−0.14~0/10a). frequency each light most regions. (3) three main cycles 29 years, 10 4 years. next few controlled first cycle, years may increase, which should be prevented. research expected to provide technical support for agricultural disaster prevention.