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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
Published online: 2017-01-10
DOI: https://doi.org/10.1051/limn/2016034

This article has been cited by the following article(s):

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)
DOI: 10.1111/are.14697
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Isolation, identification and character analysis of Streptococcus dysgalactiae from Megalobrama terminalis

Fei Zhao, Shan He, Ai‐ping Tan, et al.
Journal of Fish Diseases 43 (2) 239 (2020)
DOI: 10.1111/jfd.13119
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