Clarifying the climate change effects on the radial growth of trees has implications for sustainable forest management, especially under global warming. To investigate tree growth responses to regional climate change of Xiaowutai Mountain, four Chinese pine (Pinus tabulaeformis) ring-width index chronologies were established at different elevations (1290–1600 m). Species growth trends were estimated using climate change projections derived from global climate models. The results show: (1) the four ring-width chronologies exhibited strong statistical characteristics, making them suitable for dendroclimatology studies. Radial growth-climate relationships were highly consistent, showing a negative correlation with previous September temperatures and current May–June temperatures, as well as a positively correlated with precipitation and Palmer Drought Severity Index during the corresponding period; and (2) climate change scenarios revealed that temperature will gradually increase on the Xiaowutai Mountain, and only a slight variation in precipitation is expected. Chinese pine radial growth may show a decline under future climate change.

The sap flow method is widely used to estimate forest transpiration. However, at the individual tree level it has spatiotemporal variations due to the impacts of environmental conditions and spatial relationships among trees. Therefore, an in-depth understanding of the coupling effects of these factors is important for designing sap flow measurement methods and performing accurate assessments of stand scale transpiration. This study is based on observations of sap flux density (SF_d) of nine sample trees with different Hegyi’s competition indices (HCIs), soil moisture, and meteorological conditions in a pure plantation of Larix gmelinii var. principis-rupprechtii during the 2021 growing season (May to September). A multifactorial model of sap flow was developed and possible errors in the stand scale sap flow estimates associated with sample sizes were determined using model-based predictions of sap flow. Temporal variations are controlled by vapour pressure deficit (VPD), solar radiation (R), and soil moisture, and these relationships can be described by polynomial or saturated exponential functions. Spatial (individual) differences were influenced by the HCI, as shown by the decaying power function. A simple SF_d model at the individual tree level was developed to describe the synergistic influences of VPD, R, soil moisture, and HCI. The coefficient of variations (CV) of the sap flow estimates gradually stabilized when the sample size was > 10; at least six sample trees were needed if the CV was within 10%. This study improves understanding of the mechanisms of spatiotemporal variations in sap flow at the individual tree level and provides a new methodology for determining the optimal sample size for sap flow measurements.