Tree radial growth is influenced by climate factors such as temperature, precipitation and relative humidity, its intrinsic growth trend (increments of age), environmental disturbances, and unexplained variability of other signals. Tree ring chronologies were obtained using detrending method to remove the intrinsic growth trend of trees to retain climate signals in tree rings. Currently, there are many detrending methods which can be used to develop tree ring chronologies. Climate signals from tree rings were mainly identified using one detrending method in most previous studies, however, the identified climate signals can be different from the changes in detrending methods. To compare influences of different detrending methods on identifying the climate signals from tree ring analysis, we obtained the width data of the tree ring of 68 sites in the western region of China from the international tree ring database. The commonly used "signal-free" method (shorted as SsfCrn), linear and negative exponential function method (shorted as std), 67% spline function method (shorted as Spline), firedman method, and ensemble empirical mode decomposition-based (shorted as EEMD) detrending method were used to establish tree ring chronology, respectively. The similarities and differences of how tree growth responses to climate with different tree ring chronologies were compared. The results showed that there were significant differences in how trees responded to climate factors such as temperature, precipitation and relative humidity, based on the tree ring chronology obtained by different detrending methods. The chronology had higher correlation with temperature (monthly average temperature, monthly lowest temperature, and monthly average lowest temperature) when using SsfCrn detrending method than other detrending methods in most sites of the study region. The chronology had higher correlation with precipitation, relative humidity, and monthly maximum temperature when using EEMD-based detrending method than other detrending methods in most sites of the study region. The chronology had higher correlation with average monthly maximum temperature when using firedman detrending method than other detrending methods in most sites of the study region. Our results suggested that the chronologies developed with SsfCrn, EEMD and firedman methods are more suitable to detect growth-climate relationship than other methods. Tree ring chronologies obtained with different detrending methods responded differently to the same climatic factors and the same tree ring chronology had different responses to different climatic conditions in different research areas. Therefore, choosing proper detrending methods to identify tree growth trends is particularly important to detect the influences of climate changes on tree growth.