Abstract. Rising temperatures due to climate change influence the wood production of forests. Observations discovered that some temperate forests increase their productivity, whereas others reduce their productivity. This study focus on how species composition and forest structure properties influences this temperature sensitivity of forest productivity. Further it investigates for which forests rising temperatures increase productivity strongest. We describe forest structure by leaf area index , forest height and tree height heterogeneity. Species composition is described by a functional diversity index (Rao's Q) and optimal 5 species distribution ( AW P ). AW P quantifies how well species are distributed within the forest structure regarding with the given environmental conditions of each single tree. We analyzed 370,170 forest stands, which were generated with a forest gap model. These forest stands cover a large number of possible forest types. For each forest stand we estimate annual aboveground wood production under 320 climate scenarios (of one year length). The scenarios differ in mean annual temperature and annual temperature amplitude. Temperature sensitivity of forest productivity is quantified as relative change of productivity due 10 to a 1 • C temperature rise in mean annual temperature or rather annual temperature amplitude. Increasing AW P influences positively both temperature sensitivity indices of forest, whereas forest height shows a bell-shaped relationship with both indices. Further, we reveal that there are forests in each successional stage, which are positively affected by temperature rise.For such forests, large AW P -values are important. In case of young forest, low functional diversity and small tree height heterogeneity support a positive effect of temperature on forest productivity. During later successional stages, higher species 15 diversity and larger tree height heterogeneity is an advantage. This study highlights that forest structure and species composition are both relevant to understand the temperature sensitivity of forest productivity.