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    Predicting invasions of North American basses in Japan using native range data and a genetic algorithm

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    atp.afs.predicting_invasions_of_North_American_basses.2004.pdf (239.4Kb)
    Issue Date
    2004-07
    Author
    Iguchi, Kei'ichiro
    Matsuura, Keiichi
    McNyset, Kristina M.
    Peterson, A. Townsend
    Scachetti-Pereira, Ricardo
    Powers, Katherine A.
    Vieglais, David A.
    Wiley, Edward O.
    Yodo, Taiga
    Publisher
    American Fisheries Society
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Rights
    Transactions of the American Fisheries Society 133:845–854, 2004 q Copyright by the American Fisheries Society 2004 doi: 10.1577/T03-172.1
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    Abstract
    Largemouth bass Micropterus salmoides and smallmouth bass M. dolomieu have been introduced into freshwater habitats in Japan, with potentially serious consequences for native fish populations. In this paper we apply the technique of ecological niche modeling using the genetic algorithm for rule-set prediction (GARP) to predict the potential distributions of these two species in Japan. This algorithm constructs a niche model based on point occurrence records and ecological coverages. The model can be visualized in geographic space, yielding a prediction of potential geographic range. The model can then be tested by determining how well independent point occurrence data are predicted according to the criteria of sensitivity and specificity provided by receiver–operator curve analysis. We ground-truthed GARP’s ability to forecast the geographic occurrence of each species in its native range. The predictions were statistically significant for both species (P , 0.001). We projected the niche models onto the Japanese landscape to visualize the potential geographic ranges of both species in Japan. We tested these predictions using known occurrences from introduced populations of largemouth bass, both in the aggregate and by habitat type. All analyses robustly predicted known Japanese occurrences (P , 0.001). The number of smallmouth bass in Japan was too small for statistical tests, but the 10 known occurrences were predicted by the majority of models.
    URI
    http://hdl.handle.net/1808/6526
    DOI
    https://doi.org/10.1577/T03-172.1
    Collections
    • Biodiversity Institute & Natural History Museum Scholarly Works [311]
    • Center for Latin American and Caribbean Studies Scholarly Works [736]
    • Distinguished Professors Scholarly Works [918]
    • Ecology & Evolutionary Biology Scholarly Works [1558]
    • Kansas African Studies Center Scholarly Works [272]
    Citation
    Iguchi, K., K. Matsuura, K. McNyset, A. T. Peterson, R. Scachetti-Pereira, K. A. Powers, D. A. Vieglais, E. O. Wiley, and T. Yodo. 2004. Predicting invasions of North American basses in Japan using native range data and a genetic algorithm. Transactions of the American Fisheries Society 133:845-854. http://dx.doi.org/10.1577/T03-172.1

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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