Tree recruitment is a part of the stand dynamics. Recruited trees represent an important part of the total stand growth and are particularly important in uneven-aged forests where the recruitment is continuous over time. In this study, we developed stand-scale predictive models to analyse tree recruitment (the number of trees annually crossing the threshold of 23.5 cm in circumference, corresponding to 7.5cm in diameter) in uneven-aged forests. Our analyses were based on pure and mixed stands of Fagus sylvatica, Abies alba and Picea abies in five mountain regions of France: the Vosges, Jura, Alps, Massif Central and Pyrénées. We selected 559 plots out of ten annual census (between 2006 and 2016) of the French National Forest Inventory. Tree recruitment count data are over dispersed and contain an excess of zero counts. We used negative binomial error distributions to predict tree recruitments and identify factors influencing recruitment. The influence of structure, climatic data and soil characteristics was tested on recruitment. Structure and especially the mean diameter of the conspecific cohort were the most influential recruitment driver of European beech, Silver fir and Norway spruce. We obtained four predictive models, one for each target species and one for remaining species.