Predicting the spatial distribution of the invasive piscivorous chub (Opsariichthys uncirostris uncirostris) in the irrigation ditches of Kyushu, Japan: a tool for the risk management of biological invasions

Sato, Midori; Kawaguchi, Yôichi; Yamanaka, Hiroki; Okunaka, Tomoyuki; Nakajima, Jun; Mitani, Yasuhiro; Shimatani, Yukihiro; Mukai, T.; Onikura, Norio

doi:10.1007/s10530-010-9762-3

Cited by 17 publications

(13 citation statements)

References 28 publications

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“…The moderate accuracies in model development found in this study (AUC: 0.753-0.927 for NW data) are in accordance with the 3 similar studies of native Japanese freshwater fishes, which yielded values of 0.878 for Misgurnus anguillicaudatus (Kano et al 2010), 0.881 for Opsariichthys uncirostris uncirostris (Sato et al 2010), and 0.880 for Pseudorasbora parva ). Our study, however, was unique in that it used data sets from the different areas for model development and evaluation (NW versus NE data sets).…”

Section: Discussionsupporting

confidence: 90%

“…In our study, the ROC curves differed significantly between the NW and NE data for Tla and Tli; however, only Tli indicated low accuracy in the NE area. In former studies of Japanese freshwater fishes, only a study of O. uncirostris uncirostris analyzed differences in areas with regard to model development and evaluation (Sato et al 2010). In that study, AUC values decreased between the processes of model development (0.881) and model evaluation (0.792).…”

Section: Discussionmentioning

confidence: 97%

“…These models usually result in predictions drawn on satellite images or maps by using statistical correspondence between species occurrence data and environmental variables (Peterson and Vieglais 2001). In Japan, such species distribution models have been applied recently as a technique for biodiversity conservation (Kano et al 2010;Sato et al 2010;Fukuda et al 2011). Despite their applicability, these techniques have never been used to study species distributions of bitterlings inhabiting Kyushu.…”

Section: Introductionmentioning

confidence: 99%

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Predicting distributions of seven bitterling fishes in northern Kyushu, Japan

et al. 2011

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The distributions of seven bitterling species and subspecies-Tanakia lanceolata, T. limbata, Acheilognathus tabira nakamurae, A. rhombeus, Rhodeus ocellatus kurumeus, R. ocellatus ocellatus, and R. atremius atremius-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.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Predicting distributions of seven bitterling fishes in northern Kyushu, Japan

et al. 2011

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“…1). Each study site was in a secondary canal that was connected to a larger canal (called a ''creek''; Sato et al 2010) or a small river, where snail density is extremely low (our personal observations; see also Yamanishi et al 2012). Therefore, each study site can be regarded as nearly independent from the other sites.…”

Section: Environmental Factors and Snail Numbersmentioning

confidence: 99%

Canal type affects invasiveness of the apple snail Pomacea canaliculata through its effects on animal species richness and waterweed invasion

et al. 2014

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Loss of complex natural microhabitats due to human activity is a major cause of decreased biodiversity but its effects on biological invasion are not well understood. The effects of physical environmental factors, especially the type of agricultural canals, on the invasive freshwater snail Pomacea canaliculata were studied at 33 sites in the Chikugogawa River basin, Kyushu, Japan. Differences among sites in the local fauna and vegetation were also monitored. Structural equation modeling with a model selection procedure revealed that canals with a concrete lining had more snails. The effect was indirect in that the concrete lining reduced animal species richness and increased the invasive waterweed Egeria densa, which may serve as a refuge, protecting the snails from predation. A tethering experiment conducted simultaneously indicated high predation pressure on the snails: over 20 % of the tethered snails were lost within a day. Thus, human impacts may increase biological invasion by reducing biotic resistance and increasing the risk of invasional meltdown.

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“…These models have been applied to terrestrial conservation and restoration programs, providing an effective first step toward establishing land management priorities (Scott et al 2002). In recent years, studies of freshwater fishes using SDMs based on GIS have been increasing in Japan (Kano et al 2010;Sato et al 2010;Onikura et al 2012). However, previous research focusing on shallow water fishes had been limited to species considered as important fishery resources such as red sea bream and flounder (Hori 2012).…”

Section: Introductionmentioning

confidence: 99%

Potential distribution of Tridentiger barbatus (Günther 1861) and Tridentiger nudicervicus (Tomiyama 1934) in the Seto Inland Sea, western Japan

et al. 2013

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We developed distribution models for two near-threatened gobiid fishes, Tridentiger barbatus and Tridentiger nudicervicus, based on distribution data and geographic variables in the Ariake Sea, the Yatsushiro Sea, and Suonada Bay. Subsequently, we estimated the potential distribution of both species across all areas of the Seto Inland Sea based on the model predictions. The models indicated high accuracy and demonstrated that both species inhabit shoal and relatively enclosed waters. Predicted potential distribution areas of the two species included all sites with previous records and a few new sites without existing records.

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Predicting the spatial distribution of the invasive piscivorous chub (Opsariichthys uncirostris uncirostris) in the irrigation ditches of Kyushu, Japan: a tool for the risk management of biological invasions

Cited by 17 publications

References 28 publications

Predicting distributions of seven bitterling fishes in northern Kyushu, Japan

Predicting distributions of seven bitterling fishes in northern Kyushu, Japan

Canal type affects invasiveness of the apple snail Pomacea canaliculata through its effects on animal species richness and waterweed invasion

Potential distribution of Tridentiger barbatus (Günther 1861) and Tridentiger nudicervicus (Tomiyama 1934) in the Seto Inland Sea, western Japan

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