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Cited article:

Forecasting population dynamics of the black Amur bream (Megalobrama terminalis) in a large subtropical river using a univariate approach

ARIMA model and RDA were proposed to predict M. terminalis larval abundance and its influence. CCF model further identified that discharge acted as a trigger for population growth. We conclude ARIMA model approach is an especially promising tool for predicting the trend of population effectively.

Ann. Limnol. - Int. J. Lim., 53 (2017) 35-45

Ecological and navigational impact of the construction and operation of the Qingyuan dam

Xiyan Yang, Shanghong Zhang, Chuansen Wu, Rongqi Zhang and Yang Zhou
Ecological Indicators 154 110563 (2023)

Impact of the construction of a dam and spur dikes on the hydraulic habitat of Megalobrama terminalis spawning sites: A case study in the Beijiang River (China)

Xiyan Yang, Shanghong Zhang, Wenda Li, et al.
Ecological Indicators 143 109361 (2022)

Isolation, identification and character analysis of Streptococcus dysgalactiae from Megalobrama terminalis

Fei Zhao, Shan He, Ai‐ping Tan, Xue‐zhong Guo, Lan Jiang, Cui Liu‐Fu, Yu‐ting Deng and Rui‐quan Zhang
Journal of Fish Diseases 43 (2) 239 (2020)

Growth and ontogenetic development of digestive functionality in black Amur bream (Megalobrama terminalis)

Yaqiu Liu, Weitao Chen, Yuefei Li, Jie Li and Xinhui Li
Aquaculture Research 51 (9) 3593 (2020)