nd therefore more common to be included in the stock assessment and fishery management as a relative index of abundance. However, scientists have found strong evidences that the proportional relationship between CPUE and abundance is difficult to be upheld under negative influences exerted by a lot of factors. There have been various methods developed to standardize CPUE to reducing the influence of these factors on CPUE and to rebuild the proportional relationship. Due to the importance of CPUE as the primary source of abundance information for many of the world’s fished species, standardization of CPUE remains a very important foundational work for the stock assessment and fishery management for many fisheries. In this paper, we introduced the basic idea and process of standardizing CPUE and then reviewed statistical models for standardization of CPUE and corresponding methods of model selection. We stressed on the uncertainty of model selection and introduced a method of model averaging for multimodel inference. Meanwhile, the present paper discussed the problems with the standardization of CPUE and presented prospects of their future development.