| Identifying the spatial distribution characteristics of the parameters in the crop growth model and the main factors affecting the parameters in each region are of great significance to accurately simulate the crop growth indicators and predicte the crop yield. In this study, winter wheat, summer maize, rice, and Xinjiang cotton were used as four typical crops, and crop height, leaf area index, and dry matter accumulation were served as three growth indicators. The spatial distribution of the parameters of the fully relative Logistic model of each crop index was studied in order to identify the spatial variability of each parameter.The correlation between model parameters and meteorological factors was further analyzed. The results showed that the coefficient of variation (C.V.) of four typical crops’ total relative Logistic model parameters were all greater than 0.20, which belonged to strong variability. The spatial distribution had obvious zonality. The parameters of Logistic model for the leaf area index of winter wheat in the middle and lower reaches of the Yellow River were larger than those of Xinjiang, and the parameters of summer maize increased first and then decreased from coastal to inland. The parameters of Logistic model for dry matter accumulation of rice decreased first and then increased from southwest to northeast, and the parameters of Logistic model for plant height of cotton in Xinjiang were small in northwest and large in southeast. There was a significant or extremely significant positive correlation between the parameters of the full relative Logistic model and the average annual rainfall and the average annual accumulated temperature. The correlation coefficients r was between 0.3 and 0.6, meaning the size of the model parameters in each region was related to the rainfall and temperature in this region. |