Predicting distributions of seven bitterling fishes in northern Kyushu, Japan

Norio Onikura, Jun Nakajima, Takuya Miyake, Kouichi Kawamura, Shinji Fukuda

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

The distributions of seven bitterling species and subspecies-Tanakia lanceolata, T. limbata, Acheilogna-thus tabira nakamurae, A. rhombeus, Rhodeus ocellatus kurumeus, R. ocellatus ocellatus, and R. atremius atremi-us-in northern Kyushu were predicted using generalized linear models (GLMs) in order to provide information helpful for conserving native bitterlings and preventing the expansion of alien bitterling species. Predictions were made according to the following procedure: (1) a set of GLMs for each species was formulated using environmental data from 710 sites that were derived using digital maps and GIS software, from which the best fit model for each species was selected using the Akaike information criterion for predicting the fish occurrence, (2) model performance was evaluated based on the receiver-operating characteristics (ROC) analysis using occurrence and environmental data from 362 sites, and (3) potential distributions of the bitterling were analyzed using the best fit models and environmental data for 1,272 sites, of which 200 data points without occurrence data were prepared. The best fit models revealed that 4-6 environmental factors were important in predicting seven bitterling distributions, which was supported by the area under the ROC curve (AUC) values of these fishes ranging from 0.753 to 0.927. The AUC values in model evaluation were significantly greater than 0.5 for six fishes, suggesting the moderate accuracies of these best fit models for predicting the fish distributions. These predictive models can be used for evaluating potential native bitterling richness and the potential distribution expansion of an alien subspecies.

Original languageEnglish
Pages (from-to)124-133
Number of pages10
JournalIchthyological Research
Volume59
Issue number2
DOIs
Publication statusPublished - Apr 1 2012

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics

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