Ecological niche modeling as a predictive tool: silverand bighead carps in North America

作者: Pingfu Chen , E. O. Wiley , Kristina M. Mcnyset

DOI: 10.1007/S10530-006-9004-X

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摘要: The silver carp and bighead (Cyprinidae), native to eastern Asia, have been introduced into the United States in attempts improve water quality aquaculture ponds, reservoirs, sewage pools. Escaped or released specimens from fish farms reported many states, both species are already locally established spreading further. We used Genetic Algorithm for Rule-set Prediction (GARP) model niches of these two carps their ranges using hydrologic general environmental parameters concert with distributional data. results accurately predicted occurrence data withheld modeling process (P < 0.01). then projected niche models onto North American landscape. Native range significantly known introductions 0.001). Further, suggest that potential throughout U.S. selected areas West Coast.

参考文章(25)
David R. B. Stockwell, Genetic Algorithms II Machine Learning Methods for Ecological Applications. pp. 123- 144 ,(1999) , 10.1007/978-1-4615-5289-5_5
Alan Fielding, Machine Learning Methods for Ecological Applications Kluwer Academic Publishers. ,(1999) , 10.1007/978-1-4615-5289-5
Christopher A. Laird, Lawrence M. Page, Non-native Fishes Inhabiting the Streams and Lakes of Illinois Illinois Natural History Survey Bulletin. ,vol. 35, pp. 1- 51 ,(1996) , 10.21900/J.INHS.V35.126
A Townsend Peterson, Kevin P Cohoon, Sensitivity of distributional prediction algorithms to geographic data completeness Ecological Modelling. ,vol. 117, pp. 159- 164 ,(1999) , 10.1016/S0304-3800(99)00023-X
CH, Walter R. Courtenay, Jay R. Stauffer, Distribution, biology, and management of exotic fishes Copeia. ,vol. 1984, pp. 1032- ,(1984) , 10.2307/1445363
Joseph Grinnell, Field Tests of Theories Concerning Distributional Control The American Naturalist. ,vol. 51, pp. 115- 128 ,(1917) , 10.1086/279591
David R.B. Stockwell, Ian R. Noble, Induction of sets of rules from animal distribution data: a robust and informative method of data analysis Mathematics and Computers in Simulation. ,vol. 33, pp. 385- 390 ,(1992) , 10.1016/0378-4754(92)90126-2