Salicaceae trees are the main tree species for afforestation in North China region, but the spring poplar flocculation problem has an effect on the regional atmospheric quality and causes certain harm to human health. So it is of great practical importance to accurately forecast the spring phenological stages of Salicaceae trees. In this study, we used the observations of four spring phenological stages (beginning of flowering, full flowering, end of flowering, and fruiting) of four Salicaceae trees (Salix babylonica Linn., Salix matsudana Koidz., Populus×canadensis Moench, and Populus tomentosa Carrière) at 59 stations in North China in 1963-2018. The phenological data was provided by the Agricultural Meteorological Observation Network from China Meteorological Administration and Chinese Phenological Observation Network from Institute of Geographic Sciences and Natural Resources Research. Using the phenological data, three models of spring phenological processes based on daily temperature series (TT, PT, PT_c) were parameterized and selected. Finally, 16 optimal spring phenological models based on species-phenology were conducted for the external validation. The internal validation results showed that the three models based on temperature did not differ significantly in simulating the same species-phenology, with RMSE ranging from 5.5 to 11.6 days. Each model was relatively better in simulating the earlier phenological stages of the same species. According to Akaike information criterion (AIC), among the above 16 models, 11 were TT models, and 5 were PT_c models. What's more, Salix babylonica Linn. and Salix matsudana Koidz. all selected TT model as the optimal for all the four phenological stages, Populus×canadensis Moench selected both TT and PT_c models, and Populus tomentosa Carrière selected PT_c model for all the four spring phenological stages. It is suggested that many spring phenological simulations of Salix trees could only consider spring temperature, while for Poplar trees, the influence of chilling should be considered. This study could lay the foundation for the operationalization of Salicaceae tree flutter forecasting in North China region and even in the northern temperate area of China.