Data-driven habitat analysis of the Ponto-Caspian amphipod Dikerogammarus villosus in two invaded regions in Europe

Ecological Informatics

Volumn 17, Issue , 2013, Pages 36-45

  Boets, P ^a   Holguin, G J E ^a   Lock, K ^a   Goethals, P L M ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Alien species; Decision tree; Habitat preference; Killer shrimp; Logistic regression

Indexed keywords

AMPHIPOD; BIOLOGICAL INVASION; DATA SET; ECOLOGICAL MODELING; FORECASTING METHOD; GEOGRAPHICAL REGION; HABITAT SELECTION; HABITAT TYPE; INVASIVE SPECIES; OXYGEN; STREAM; WATER QUALITY;

CROATIA;

AMPHIPODA; DECAPODA (CRUSTACEA); DIKEROGAMMARUS VILLOSUS;

EID: 84884968870     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2012.07.001     Document Type: Article

References (91)

1. Adriaenssens V., De Baets B., Goethals P.L.M., De Pauw N. Fuzzy rule-based models for decision support in ecosystem management. Science of the Total Environment 2004, 319:1-12.
2. Ahmadi-Nedushan B., St-Hilaire A., Berube M., Robichaud E., Thiemonge N., Bobee B. A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment. River Research and Applications 2006, 22:503-523.
3. Akaike H. A new look at the statistical model identification. I.E.E.E Transactions on Automatic Control 1974, 19:716-723.
4. Allen Y.C., Ramcharan C.W. Dreissena distribution in commercial waterways of the US: using failed invasion to identify limiting factors. Canadian Journal of Fisheries and Aquatic Sciences 2001, 58:898-907.
5. Ambelu A., Lock K., Goethals P.L.M. Comparison of modelling techniques to predict macroinvertebrate community composition in rivers of Ethiopia. Ecology Information 2010, 5:147-152.
6. Aspinall R. Use of logistic regression for validation of maps of the spatial distribution of vegetation species derived from high spatial resolution hyperspectral remotely sensed data. Ecological Modelling 2002, 157:301-312.
7. Aspinall R. Modelling land use change with generalized linear models: a multi-model analysis of change between 1860 and 2000 in Gallatin Valley, Montana. Journal of Environmental Management 2004, 72:91-103.
8. Ba J.W., Hou Z.E., Platvoet D., Zhu L., Li S. Is Gammarus tigrinus (Crustacea, Amphipoda) becoming cosmopolitan through shipping? Predicting its potential invasive range using ecological niche modeling. Hydrobiologia 2010, 649:183-194.
9. Bacela K., Grabowski M., Konopacka A. Dikerogammarus villosus (Sowinsky, 1894) (Crustacea, Amphipoda) enters Vistula - the biggest river in the Baltic basin. Aquat. Invasions 2008, 3:95-98.
10. Bernauer D., Jansen W. Recent invasions of alien macroinvertebrates and loss of native species in the upper Rhine River, Germany. Aquatic Invasions 2006, 1:55-71. 10.3391/ai.2006.1.2.2.
11. Bij de Vaate A., Jazdzewski K., Ketelaars H.A.M., Gollasch S., Van der Velde G. Geographical patterns in range extension of Ponto-Caspian macroinvertebrate species in Europe. Canadian Journal of Fisheries and Aquatic Sciences 2002, 59:1159-1174.
12. Boets P., Lock K., Goethals P.L.M. Combining data-driven methods and lab studies to analyse the ecology of Dikerogammarus villosus. Ecology Information 2010, 5:133-139.
13. Boets P., Lock K., Goethals P.L.M. Using long-term monitoring to investigate the changes in species composition in the harbour of Ghent (Belgium). Hydrobiologia 2011, 663:155-166.
14. Boets P., Lock K., Goethals P.L.M. Assessing the importance of alien macro-Crustacea (Malacostraca) within macroinvertebrate assemblages in Belgian coastal harbours. Helgoland Marine Research 2011, 10.1007/s10152-011-0259-y.
15. Bollache L., Devin S., Wattier R., Chovet M., Beisel J.-N., Moreteau J.-C., Rigaud T. Rapid range extension of the Ponto-Caspian amphipod Dikerogammarus villosus in France: potential consequences. Archiv für Hydrobiologie 2004, 160:57-66.
16. Bruijs M.C.M., Kelleher B., Van der Velde G., Bij de Vaate A. Oxygen consumption temperature and salinity tolerance of the invasive amphipod Dikerogammarus villosus: indicators of further dispersal via ballast water transport. Archiv für Hydrobiologie 2001, 152:633-646.
17. Cacho O.J., Spring D., Hester S., MacNally R. Allocating surveillance effort in the management of invasive species: a spatially-explicit model. Environmental Model Soft 2010, 25:444-454.
18. Casellato S., Visentin A., La Piana G. The predator impact of Dikerogammarus villosus, a danger for fish. Biological Invaders in Inland Waters Profiles, Distribution and Threats 2007, 495-507. Invading Nature Springer Series in Invasion Ecology, Berlin. F. Gherardi (Ed.).
19. Cordell J.R., Tear L.M., Bollens S.M. Modelling physico-chemical factors affecting occurrences of a non-indigenous planktonic copepod in northeast Pacific estuaries. Biological Invasions 2010, 12:1427-1445.
20. Dakou E., D'heygere T., Dedecker A.P., Goethals P.L.M., Dimitriadou M.L., De Pauw N. Decision tree models for prediction of macroinvertebrate taxa in the river Axios (Northern Greece). Aquatic Ecology 2007, 41:399-411.
21. Dedecker A.P., Goethals P.L.M., Gabriels W., De Pauw N. Optimisation of Artificial Neural Network (ANN) model design for prediction of macroinvertebrate communities in the Zwalm river basin (Flanders, Belgium). Ecological Modelling 2004, 174:161-173.
22. Dedecker A.P., Goethals P.L.M., D'heygere T., Gevrey M., Lek S., De Pauw N. Application of artificial neural network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics. Environmental Monitoring and Assessment 2005, 111:223-241.
23. Dedecker A.P., Goethals P.L.M., De Pauw N. Sensitivity and robustness of stream model based on artificial neural networks for the simulation of different management scenarios. Modelling Community Structure in Freshwater Ecosystems 2005, 133-146. Springer-Verlag. S. Lek, M. Scardi, P.F.M. Verdonschot, J.P. Descy, Y.S. Park (Eds.).
24. Dedecker A.P., Goethals P.L.M., D'heygere T., De Pauw N. Development of an in-stream migration model for Gammarus pulex L. (Crustacea, Amphipoda) as a tool in river restoration management. Aquatic Ecology 2006, 40:249-261.
25. Devin S., Beisel J.N. Geographic patterns in freshwater gammarid invasions: an analysis at the pan-European scale. Aquatic Sciences 2008, 70:100-106.
26. Devin S., Piscart C., Beisel J.N., Moreteau J.C. Ecological traits of the amphipod invader Dikerogammarus villosus on a mesohabitat scale. Archiv für Hydrobiologie 2003, 158:43-56.
27. Devin S., Piscart C., Beisel J.N., Moreteau J.C. Life history traits of the invader Dikerogammarus villosus (Crustacea: Amphipoda) in the Moselle River, France. International Review of Hydrobiology 2004, 89(1):21-34.
28. D'heygere T., Goethals P.L.M., De Pauw N. Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates. Ecological Modelling 2003, 160:291-300.
29. D'heygere T., Goethals P.L.M., De Pauw N. Genetic algorithms for optimisation of predictive ecosystems models based on decision trees and neural networks. Ecological Modelling 2006, 195:20-29.
30. Džeroski S., Drumm D. Using regression trees to identify the habitat preference of the sea cucumber (Holothuria leucospilota) on Rarotonga, Cook Islands. Ecological Modelling 2003, 170:219-226.
31. Everaert G., Boets P., Lock K., Goethals P.L.M. Application of decision trees to analyze the ecological impact of invasive species in polder lakes in Flanders, Belgium. Ecological Modelling 2011, 222:2202-2212. 10.1016/j.ecolmodel.2010.08.013.
32. Faisal A., Dondelinger F., Husmeier D., Beale C.M. Inferring species interaction networks from species abundance data: a comparative evaluation of various statistical and machine learning methods. Ecology Information 2010, 5:451-464.
33. Fielding A.H. What are the appropriate characteristics of an accuracy measure? 2002, 271-280. Island Press, Covelo, CA. J.M. Scott, P.J. Heglund, M. Morrison (Eds.).
34. Fielding A.H., Bell J.F. A review of methods for the assessment of prediction errors in conservation presence-absence models. Environmental Conservation 1997, 24:38-49.
35. Gabriels W., Goethals P.L.M., Dedecker A.P., Lek S., De Pauw N. Analysis of macrobenthic communities in Flanders, Belgium, using a stepwise input variable selection procedure with artificial neural networks. Aquatic Ecology 2007, 41:427-441.
36. Gabriels W., Lock K., De Pauw N., Goethals P.L.M. Multimetric Macroinvertebrate Index Flanders (MMIF) for biological assessment of rivers and lakes in Flanders (Belgium). Limnologica 2010, 40:199-207.
37. Gallardo B., Errea M.P., Aldridge D.C. Application of bioclamatic models coupled with network analysis for risk assessment of the killer shrimp, Dikerogammarus villosus, in Great Britain. Biological Invasions 2012, 10.1007/s10530-011-0154-0.
38. Gergs R., Rothhaupt K.O. Feeding rates, assimilation efficiencies and growth of two amphipod species on biodeposited material from zebra mussels. Freshwater Biology 2008, 53:2494-2503.
39. Goethals P.L.M., Dedecker A.P., Gabriels W., Lek S., De Pauw N. Applications of artificial neural networks predicting macroinvertebrates in freshwaters. Aquatic Ecology 2007, 41:491-508.
40. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning 1989, 412. Addison-Wesley Publishing Company, Reading, MA.
41. Grabowski M., Bacela K., Konopacka A. How to be an invasive gammarid (Amphipoda: Gammaroidea)-comparison of life history traits. Hydrobiologia 2007, 590:75-84.
42. Guisan A. Semiquantitative response models for predicting the spatial distribution of plant species. Predicting Species Occurrences: Issues of Accuracy and Scale 2002, 315-326. Island Press, Covelo, CA. J.M. Scott, P.J. Heglund, M. Morrison (Eds.).
43. Guisan A., Edwards T.C., Hastie T. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological Modelling 2002, 157:89-100.
44. Gurevitch J., Padilla D.K. Are invasive species a major cause of extinctions?. Trends in Ecology & Evolution 2004, 19:470-474.
45. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H. The WEKA Data Mining Software: An Update. SIGKDD Explorations 2009, Volume 11, Issue 1.
46. Hoang T.H., Lock K., Mouton A., Goethals P.L.M. Application of classification trees and support vector machines to model the presence of macroinvertebrates in rivers in Vietnam. Ecology Information 2010, 5:140-146.
47. Hosmer D., Lemeshow S. Applied Logistic Regression 2000, A. Wiley-Interscience Publication, John Wiley and Sons Inc., New York, NY, (373pp.). Second Edition.
48. Jazdzewski K., Konopacka A., Grabowski M. Recent drastic changes in the gammarid fauna (Crustacea, Amphipoda) of the Vistula River deltaic system in Poland caused by alien invaders. Diversity and Distributions 2004, 10:81-87.
49. Josens G., Bij de Vaate A., Usseglio-Polatera P., Cammaerts R., Cherot F., Grisez F., Verboonen P., Vanden Bossche J.-P. Native and exotic Amphipoda and other Peracarida in the River Meuse: new assemblages emerge from a fast changing fauna. Hydrobiologia 2005, 542:203-220.
50. Kampichler C., Wieland R., Calmé C., Weissenberger H., Arriaga-Weiss S. Classification in conservation biology: a comparison of five machine-learning methods. Ecology Information 2010, 5:441-450.
51. Kley A., Maier G. An example of niche partitioning between Dikerogammarus villosus and other invasive and native gammarids: a field study. Journal of Limnology 2005, 16:85-88.
52. Kley A., Maier G. Reproductive characteristics of invasive gammarids in the Rhine-Maine-Danube catchment, South Germany. Limnologica 2006, 36:79-90.
53. Kohavi R., John G.H. Wrappers for feature subset selection. Artificial Intelligence Journal 1997, 97:273-324.
54. Labat F., Piscart C., Fontan B. First records pathways and distributions of four new Ponto-Caspian amphipods in France. Limnologica 2011, 41:290-295.
55. Lods-Crozet B., Reymond O. Bathymetric expansion of an invasive gammarid (Dikerogammarus villosus, Crustacea, Amphipoda) in Lake Léman. Journal of Limnology 2006, 65:141-144.
56. MacNeil C., Platvoet D., Dick J.T.A., Fielding N., Constable A., Hall N., Aldridge D., Renals T., Diamond M. The Ponto-Caspian 'killer shrimp', Dikerogammarus villosus (Sowinsky, 1894), invades the British Isles. Aquat. Invasions 2010, 4:441-445.
57. Maggini R., Lehmann A., Zimmermann N.E., Guisan A. Improving generalized regression analysis for the spatial prediction of forest communities. Journal of Biogeography 2006, 33:1729-1749.
58. Manel S., Dias J.M., Ormerod S.J. Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird. Ecological Modelling 1999, 120:337-347.
59. Manel S., Buckton S.T., Rormerod S.J. Testing large-scale hypotheses using surveys: the effects of land use on the habitats, invertebrates and birds of Himalayan rivers. Journal of Applied Ecology 2000, 37:756-770.
60. Manel S., Williams H.C., Ormerod S.J. Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology 2001, 38:921-931.
61. Messiaen M., Lock K., Gabriels W., Vercauteren T., Wouters K., Boets P., Goethals P.L.M. Alien macrocrustaceans in freshwater ecosystems in the eastern part of Flanders (Belgium). Belgian Journal of Zoology 2010, 140:30-39.
62. Mouton A.M., De Baets B., Goethals P.L.M. Knowledge-based versus data-driven fuzzy habitat suitability models for river management. Environmental Modelling and Software 2009, 24:982-993.
63. Mouton A.M., De Baets B., Van Broekhoven E., Goethals P.L.M. Prevalence adjusted optimisation of fuzzy models for species distribution. Ecological Modelling 2009, 220:1776-1786.
64. Mouton A.M., De Baets B., Goethals P.L.M. Ecological relevance of performance criteria for species distribution models. Ecological Modelling 2010, 221:1995-2002.
65. Muskó I.B. Occurrence of Amphipoda in Hungary since 1853. Crustaceana 1994, 66:144-152.
66. Nesemann H., Pöckl M., Wittmann K.J. Distribution of epigean Malacostraca in the middle and upper Danube (Hungary, Austria, Germany). Miscellaneous Zoology Hungarica 1995, 10:49-68.
67. Nielsen C., Hartvig P., Kollmann J. Predicting the distribution of the invasive alien Heracleum mantegazzianum at two different spatial scales. Diversity and Distributions 2008, 14:307-317.
68. Pearce J., Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 2000, 133:225-245.
69. Pimentel D., Zuniga R., Morrison D. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecological Economics 2003, 52:273-288.
70. Platvoet D., van der Velde G., Dick J.T.A., Li S. Flexible omnivory in Dikerogammarus villosus (Sowinsky, 1894) (Amphipoda) - Amphipod Pilot Species Project (AMPIS) Report 5. Crustaceana 2005, 82:703-720.
71. Puth L.M., Post D.M. Studying invasion: have we missed the boat?. Ecology Letters 2005, 8:715-721.
72. Quinlan J.R. Induction of decision trees. Machine Learning 1986, 1:81-106.
73. Rahel F.J. Homogenization of freshwater faunas. Annual Review of Ecology Evolution and Systematics 2002, 33:291-315.
74. Recknagel F. Application of machine learning to ecological modelling. Ecological Modelling 2001, 146:303-310.
75. Robertson M.P., Villet M.H., Palmer A.R. A fuzzy classification technique for predicting species' distributions: applications using invasive alien plants and indigenous insects. Diversity and Distributions 2004, 10:461-474.
76. Robinson T.P., van Klinken R.D., Metternicht G. Comparison of alternative strategies for invasive species distribution modeling. Ecological Modelling 2010, 221:2261-2269.
77. Rushton S.P., Ormerod S.J., Kerby G. New paradigms for modelling species distributions?. Journal of Applied Ecology 2004, 41:193-200.
78. StatSoft Inc. STATISTICA (data analysis software system), version 7 http://www.statsoft.com.
79. Stohlgren T.J., Ma P., Kumar S., Rocca M., Morisette J.T., Jarnevich C.S., Benson N. Ensemble habitat mapping of invasive plant species. Risk Analysis 2010, 30:224-235.
80. Tirelli T., Pessani D. Use of decision tree and artificial neural network approaches to model presence/absence of Telestes Muticellus in Piedmont (North-western Italy). River Research and Applications 2009, 25:1001-1012.
81. Tirelli T., Pozzi L., Pessani D. Use of different approaches to model presence/absence of Salmo marmoratus in Piedmont (Northwestern Italy). Ecology Information 2009, 4:234-242.
82. Van der Velde G., Rajagopal S., Kelleher B., Bij de Vaate A. Ecological impact of crustacean invaders: general considerations and examples from the Rhine River. Crustacean Issues 2000, 12:3-33.
83. Van Riel M.C., Van der Velde G., Rajagopal S., Marguillier S., Dehairs F., Bij de Vaate A. Trophic relationships in the Rhine food web during invasion and after establishment of the Ponto-Caspian invader Dikerogammarus villosus. Hydrobiologia 2006, 565:39-58.
84. Vayssières M.P., Plant R.E., Allen-Diaz B.H. Classification trees: an alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 2000, 11:679-694.
85. Watts M.J., Worner S.P. Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution. Ecology Information 2008, 6:354-366.
86. Wijnhoven S., van Riel M.C., van der Velde G. Exotic and indigenous freshwater gammarid species: physiological tolerance to water temperature in relation to ionic content of the water. Aquatic Ecology 2003, 37(2):151-158.
87. Willems W., Goethals P.L.M., Van Lancker V., Verfaille E., Vinckx M., Degraer S. Where is the worm? Predictive modelling of the habitat preferences of the tube-building polychaete Lanice conchilega. Ecological Modelling 2008, 212:74-79.
88. Wirth A., Schmera D., Baur B. Native and alien macroinvertebrate richness in a remnant of the former river Rhine: a source for recolonisation of restored habitats?. Hydrobiologia 2010, 652:89-100.
89. Young J.S., Hutto R.L. Use of regional-scale exploratory studies to determine bird-habitat relationships. Predicting Species Occurrences: Issues of Accuracy and Scale 2002, 107-122. Island Press, Covelo, CA. J.M. Scott, P.J. Heglund, M. Morrison (Eds.).
90. Žganec K., Gottstein S., Hudina S. Ponto-Caspian amphipods in Croatian large rivers. Aquatic Invasions 2009, 4:327-335.
91. Zuur A., et al. Mixed Effects Models and Extensions in Ecology with R 2009, Springer, New York, (574pp.). First edition.