To explore the relationships between environmental factors and zooplanktonic beta diversity-and its component changes-zooplankton samples and corresponding environmental data were collected from 24 stations in Xiangshan Bay. Zooplanktonic beta diversity was analyzed by a generalized dissimilarity model (GDM) with the gdm package in the R language, and was further separated into two components-turnover and nestedness-using the betapart package. Analytical results with GDM showed that 10 environmental variables (surface water temperature, dissolved oxygen, water depth, transparency, pH, chlorophyll a, geographical distance, conductivity, salinity, and suspended particulate matter) affected zooplanktonic beta diversity and could explain 75.2% of the GDM deviation. Among the 10 variables, water temperature, dissolved oxygen, and water depth were the important driving factors for beta diversity changes, which explained 63.9% of the cumulative relative contribution (taking the interpretable proportion of the GDM deviation as 100%), while the other 7 factors accounted for 36.1%. Furthermore, water temperature was the most important driving factor among these three factors, which accounted for 38.4% of the cumulative relative contribution. According to the gradient effects of predictors, beta diversity increased with the increasing gradients of factors when the geographical distance, pH, salinity, water temperature, and chlorophyll a were above ca. 25 km, 7.8, 25, and under 22℃ and 0.5 μg/L respectively. Moreover, zooplanktonic beta diversity always increased with increasing dissolved oxygen, conductivity, transparency, and water depth. However, no obvious effect was found with the content change of suspended particulate matter. According to the results of partitioning beta diversity into turnover and nestedness components, turnover played a dominant role in the spatiotemporal changes of zooplankton, while the nestedness had small effects in Xiangshan Bay. Furthermore, the nestedness mainly occurred in the groups of macro-zooplankton and lava, especially in the latter group, and the spatiotemporal nestedness was almost always higher than turnover in the two groups. Further analyses of Pearson's correlation demonstrated that the water temperature and dissolved oxygen were significantly correlated with the nestedness of macro-zooplankton, and that the water temperature, dissolved oxygen, and two other factors-conductivity and velocity-were significantly associated with the nestedness in the lava group.