A Tale of Four “Carp”: Invasion Potential and Ecological Niche Modeling

Background Invasive species are a serious problem in ecosystems, but are difficult to eradicate once established. Predictive methods can be key in determining which areas are of concern regarding invasion by such species to prevent establishment [1]. We assessed the geographic potential of four Eurasian cyprinid fishes (common carp, tench, grass carp, black carp) as invaders in North America via ecological niche modeling (ENM). These “carp” represent four stages of invasion of the continent (a long-established invader with a wide distribution, a long-established invader with a limited distribution, a spreading invader whose distribution is expanding, and a newly introduced potential invader that is not yet established), and as such illustrate the progressive reduction of distributional disequilibrium over the history of species' invasions. Methodology/Principal Findings We used ENM to estimate the potential distributional area for each species in North America using models based on native range distribution data. Environmental data layers for native and introduced ranges were imported from state, national, and international climate and environmental databases. Models were evaluated using independent validation data on native and invaded areas. We calculated omission error for the independent validation data for each species: all native range tests were highly successful (all omission values <7%); invaded-range predictions were predictive for common and grass carp (omission values 8.8 and 19.8%, respectively). Model omission was high for introduced tench populations (54.7%), but the model correctly identified some areas where the species has been successful; distributional predictions for black carp show that large portions of eastern North America are at risk. Conclusions/Significance ENMs predicted potential ranges of carp species accurately even in regions where the species have not been present until recently. ENM can forecast species' potential geographic ranges with reasonable precision and within the short screening time required by proposed U.S. invasive species legislation.

[1]  L. J. Cole The German Carp in the United States , 2010 .

[2]  Antoine Guisan,et al.  Predicting current and future biological invasions: both native and invaded ranges matter , 2008, Biology Letters.

[3]  A. Peterson,et al.  Effects of sample size on the performance of species distribution models , 2008 .

[4]  A. Peterson,et al.  Shifting Global Invasive Potential of European Plants with Climate Change , 2008, PloS one.

[5]  A. Townsend Peterson,et al.  Rethinking receiver operating characteristic analysis applications in ecological niche modeling , 2008 .

[6]  R. Real,et al.  AUC: a misleading measure of the performance of predictive distribution models , 2008 .

[7]  J. Levine,et al.  Biological Invasions , 2004 .

[8]  L. Musselman Harmful Non-Indigenous Species in the United States , 1994, Economic Botany.

[9]  Jorge Soberón Grinnellian and Eltonian niches and geographic distributions of species. , 2007, Ecology letters.

[10]  Steven J. Phillips,et al.  WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS? , 2007 .

[11]  A. Peterson,et al.  Environmental data sets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri. , 2007 .

[12]  A. Peterson,et al.  Evidence of climatic niche shift during biological invasion. , 2007, Ecology letters.

[13]  J. Elith,et al.  Sensitivity of predictive species distribution models to change in grain size , 2007 .

[14]  L. P. Lounibos,et al.  Spread of the tiger: global risk of invasion by the mosquito Aedes albopictus. , 2007, Vector borne and zoonotic diseases.

[15]  S. E. Loo,et al.  Forecasting New Zealand Mudsnail invasion range: model comparisons using native and invaded ranges. , 2007, Ecological applications : a publication of the Ecological Society of America.

[16]  Jake F. Weltzin,et al.  The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? , 2006 .

[17]  A Townsend Peterson,et al.  Global Invasive Potential of 10 Parasitic Witchweeds and Related Orobanchaceae , 2006, Ambio.

[18]  A. Townsend Peterson,et al.  Invasive potential of common carp (*Cyprinus carpio*) and Nile tilapia (*Oreochromis niloticus*) in American freshwater systems , 2006 .

[19]  A. Peterson,et al.  Global invasive potential of the house crow Corvus splendens based on ecological niche modelling , 2006 .

[20]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[21]  Holger R. Maier,et al.  An Evaluation of Methods for the Selection of Inputs for an Artificial Neural Network Based River Model , 2006 .

[22]  D. Richardson,et al.  Niche‐based modelling as a tool for predicting the risk of alien plant invasions at a global scale , 2005, Global change biology.

[23]  K. Mcnyset,et al.  Use of ecological niche modelling to predict distributions of freshwater fish species in Kansas , 2005 .

[24]  A. Peterson Predicting potential geographic distributions of invading species , 2005 .

[25]  D. Strayer,et al.  Invasion success of vertebrates in Europe and North America. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[26]  A. Peterson,et al.  INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS , 2005 .

[27]  J. Viers,et al.  FISH INVASIONS IN CALIFORNIA WATERSHEDS: TESTING HYPOTHESES USING LANDSCAPE PATTERNS , 2004 .

[28]  A. Townsend Peterson,et al.  Predicting invasions of North American basses in Japan using native range data and a genetic algorithm , 2004 .

[29]  James D. Williams,et al.  Snakeheads (Pisces, Channidae): A Biological Synopsis and Risk Assessment , 2004 .

[30]  James H. Thorne,et al.  PREDICTING OCCURRENCES AND IMPACTS OF SMALLMOUTH BASS INTRODUCTIONS IN NORTH TEMPERATE LAKES , 2004 .

[31]  A. Peterson Predicting the Geography of Species’ Invasions via Ecological Niche Modeling , 2003, The Quarterly Review of Biology.

[32]  N. Gotelli Predicting Species Occurrences: Issues of Accuracy and Scale , 2003 .

[33]  J. Townshend,et al.  Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm , 2003 .

[34]  J. Chick,et al.  First Black Carp Captured in U.S. , 2003, Science.

[35]  Robert P. Anderson,et al.  Evaluating predictive models of species’ distributions: criteria for selecting optimal models , 2003 .

[36]  A. Peterson,et al.  Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm , 2003 .

[37]  A. Peterson,et al.  Niche Modeling and Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm , 2003 .

[38]  C. Kolar,et al.  Ecological Predictions and Risk Assessment for Alien Fishes in North America , 2002, Science.

[39]  Julian D. Olden,et al.  A comparison of statistical approaches for modelling fish species distributions , 2002 .

[40]  David R. B. Stockwell,et al.  Effects of sample size on accuracy of species distribution models , 2002 .

[41]  J. Michael Scott,et al.  Predicting Species Occurrences: Issues of Accuracy and Scale , 2002 .

[42]  Peter Kareiva,et al.  Invasions of nonindigenous plants and plant pests , 2002 .

[43]  Susan L. Williams,et al.  Aquaculture--A Gateway for Exotic Species , 2001, Science.

[44]  A. Peterson,et al.  Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem , 2001 .

[45]  Will Black Carp Be the Next Zebra Mussel? , 2001, Science.

[46]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[47]  I. Cowx,et al.  Nonindigenous Fishes Introduced into Inland Waters of the United States , 2000 .

[48]  W. J. Matthews,et al.  Geographic, terrestrial and aquatic factors: which most influence the structure of stream fish assemblages in the midwestern United States? , 2000 .

[49]  P. Klerks,et al.  Control of the Trematode Bolbophorus confusus in Channel Catfish Ictalurus punctatus Ponds Using Salinity Manipulation and Polyculture with Black Carp Mylopharyngodon piceus , 2000 .

[50]  D. Simberloff,et al.  BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL , 2000 .

[51]  D. Pimentel,et al.  Environmental and Economic Costs of Nonindigenous Species in the United States , 2000 .

[52]  V. Sánchez‐Cordero,et al.  Conservatism of ecological niches in evolutionary time , 1999, Science.

[53]  A. Peterson,et al.  Sensitivity of distributional prediction algorithms to geographic data completeness , 1999 .

[54]  David R. B. Stockwell,et al.  The GARP modelling system: problems and solutions to automated spatial prediction , 1999, Int. J. Geogr. Inf. Sci..

[55]  N. LeRoy Poff,et al.  Landscape Filters and Species Traits: Towards Mechanistic Understanding and Prediction in Stream Ecology , 1997, Journal of the North American Benthological Society.

[56]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[57]  J. Williams,et al.  Risk assessment on black carp (Pisces: Cyprinidae). Inhouse Report to the Risk Assessment and Management Committee of the Aquatic Nuisance Species Task Force , 1996 .

[58]  D. Lodge,et al.  Biological invasions: Lessons for ecology. , 1993, Trends in ecology & evolution.

[59]  M. Bain Assessing impacts of introduced aquatic species: Grass carp in large systems , 1993 .

[60]  David R. B. Stockwell,et al.  Induction of sets of rules from animal distribution data: a robust and informative method of data analysis , 1992 .

[61]  P. Poncin Recension bibliographique de "Allardi J., P. Keith (coord.) : Atlas préliminaire des poissons d'eau douce de France". , 1991 .

[62]  W. Tonn Climate Change and Fish Communities: A Conceptual Framework , 1990 .

[63]  F. Castri,et al.  Biological Invasions: A Global Perspective , 1989 .

[64]  James A. Drake,et al.  Biological invasions : a global perspective , 1989 .

[65]  益田 一 日本産魚類大図鑑 = The fishes of the Japanese archipelago , 1988 .

[66]  F. P. Kapinos,et al.  Hydrologic unit maps , 1987 .

[67]  T. Yoshino,et al.  The fishes of the Japanese archipelago , 1984 .

[68]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[69]  R. Payne Geographic names information system , 1983 .

[70]  J. G. Stanley,et al.  Reproductive Requirements and Likelihood for Naturalization of Escaped Grass Carp in the United States , 1978 .

[71]  V. Guillory,et al.  Zoogeography of the Grass Carp in the United States , 1978 .

[72]  F. Martin,et al.  The fishes of Missouri , 1977 .

[73]  W. B. Scott,et al.  Freshwater fishes of Canada , 1974 .

[74]  C. R. Robins,et al.  Exotic fishes and other aquatic organisms introduced into North America , 1970 .

[75]  C. C. Lindsey,et al.  The Freshwater Fishes of Canada , 1960 .

[76]  J. L. Baughman The Tench in America , 1947 .

[77]  Freshwater Fishes , 1942, Nature.

[78]  J. Grinnell The Niche-Relationships of the California Thrasher , 1917 .