Abstract:Crop information is a comprehensive index and has spatial and temporal variability due to influence of terrain and soil properties and so on. Based on components of corn ear weight (grain weight per ear, axis weight per ear, grain number per ear, row number per ear, grain number per row, ear length and ear diameter) obtained in black soil region of Songnen Plain, the spatial variability of components of corn ear weight was studied with traditional statistics, multifractal and joint multifractal methods. The results showed that spatial variability intensities of grain weight per ear, axis weight per ear, grain number per ear, row number per ear, grain number per row, ear length and ear diameter decreased successively, the ones of grain weight per ear and axis weight per ear were medium, and the ones of grain number per ear, row number per ear, grain number per row, ear length and ear diameter were weak;multifractal characteristics of axis weight per ear and grain weight per ear were the most obvious, the ones of grain number per row, ear diameter and ear length were not obvious, and the ones of row number per ear and grain number per ear were between the above two;spatial variability of row number per ear was caused by its high values, and the local informations that brought about spatial variabilities of grain number per row, axis weight per ear, grain weight per ear, grain number per ear, ear diameter and ear length were their low values;at the single scale and multi-scale, sortings of effect degrees of ear diameter, axis weight per ear, ear length, grain number per ear, grain number per row and row number per ear on spatial variability of grain weight per ear were different, and correlation degrees between grain weight per ear and other components of corn ear weight at multi-scale were bigger than the ones at the single scale. Research results could provide foundational information, scientific basis and guidance for precision management of farmland, increase corn yield in black soil region, and also offer a new angle to study spatial variability of corn yield.