树轮因其定年准确、分辨率高、连续性强、样本分布广泛等优势，已被广泛应用于历史气候的重建、生长-气候响应关系和林线动态等研究。树轮形成不仅取决于自身的生长发育，还受温度、降水、光照等环境因子的影响。不同去趋势方法影响树轮年表的质量和其中所含的不同频域气候信号，选择适合的生长趋势拟合方法以及误差分析，从而能从树轮资料中获取较多的气候信息并保证精度是树木年轮气候学研究的关键环节。文中综述了树木年轮气候研究中的主要生长趋势拟合方法，分析了不同方法的优缺点与适用性，并对年表的误差进行了分析，指出未来树轮气候学研究中生长趋势拟合应注重多种方法和多种误差的结合分析。

      The tree-ring has been used widely in historical climate reconstruction, growth-climate and treeline dynamics due to its advantages of accurate for cross-dating, high-resolution and well continuity. Tree-ring width series contain information on tree-growth responses to different envirnment drivers (e.g. temperature, precipitation, light), meanwhile, they also contain information on age/size dependent trends caused by the ontogenetic development. Different detrending methods influence the quality of tree-ring chronology and the climate information. It is thus critical in analyzing long-term growth trends to use proper growth-trend detection methods and biases analysis in order to obtain more climate information and improve precision. Here, we reviewed the major widely used trend-detection methods and influence of biases on trend detection, recommended applying multiple methods and analyzing possible influence of biases when analyzing trends in the dendroclimatology.