The spatio-temporal pattern of seed dispersal has great significance in ecological implications for plant species dynamics, biological invasion and conservation biology. Most seeds possess the short-distance dispersal (SDD) ability, while few others have the long-distance dispersal (LDD) ability. During the recent thirty years, a great many researches have focused on the SDD due to the difficulties in the direct track of LDD of plant seeds, particularly in that of the herbaceous plant species. Under current constraint conditions, modeling has played a great importance in the tail simulation of seed dispersal. However, no uniformed function or curve distribution has been constructed currently to describe the variation of seed density with the distance. Our research puts forward a new spatial dispersal model, i.e., Quasi-Maxwell spatial distribution model, to conclude all the cases of seed dispersal. This model can simulate wind-borne seed dispersal in any direction and area, and has involved some empirical field data obtained from other researches in our study to check the model adaptability. The research aims at promoting the further exploration and development in this important field.