Abstract
Knowing the effects of climate and habitat on the distributions of insect pests and their natural enemy would help target the search for natural enemies, increase establishment of intentional introductions, improve risk assessment for accidental introductions and the effects of climate change. Most existing methods used to predict geographical distributions of insects either involve subjective comparisons of climate or require data concerning insect responses to climate. Here we have used geographical distributions of insects to develop statistical models for the effects of climate and habitat on these distributions. We tested this approach using six insect pests found in the United States: Ostrinia nubilalis (European corn borer), Diuraphis noxia (Russian wheat aphid), Helicoverpa zea (Corn earworm), Leptinotarsa decemlineata (Colorado potato beetle), Solenopsis invicta (Red imported fire ant), and Conotrachelus nenuphar (Plum curculio). By randomly separating the data into model-building and test sets, we were able to estimate prediction accuracy. For each species, a unique combination of predictor variables was identified. The models correctly predicted presence for more than 92% of the data on each insect species. The models correctly predicted absence for 59% to 77% of the data on five of six species. Absence predictions were poor for H. zea (21% correct), because distribution data were limited and inaccurate. Predictions of insect absence were more difficult because absence data were less abundant and perhaps less reliable. This approach offers potential for the analysis of existing data to produce predictions about insect establishment. However, accurate prediction depends heavily on data quality, and in particular, more data are needed from locations where insects are sampled but not found.
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References
Anderson PR, Gómez-Laverde M, Peterson AT (2002) Geographical distributions of spiny pocket mice in South America: insights from predictive models. Glob Ecol Biogeogr 11:131–141
Aspinall R, Matthews K (1994) Climate change impact on distribution and abundance of wildlife species: an analytical approach using GIS. Environ Pollut 86:217–223
Austin MP (1980) Searching for a model for use in vegetation analysis. Vegetatio 42:11–21
Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modeling. Ecol Model 157:101–118
Baker RHA, Sansford CE, Jarvis CH, Cannon RJC, MacLeod A, Walters KFA (2000) The role of climatic mapping in predicting the potential geographical distribution of non-indigenous pests under current and future climates. Agric Ecosyst Environ 82:57–71
Beerling DJ, Huntley B, Bailey JP (1995) Climate and the distribution of Fallopia japonica: use of an introduced species to test the predictive capacity of response surfaces. J Veg Sci 6:269–495
Brooks L, Hein G, Johnson G, Legg D, Massey B, Morrisson P, Weiss M, Peairs F (1994) Economic impact of the Russian wheat aphid in the western United States 1991–1992. Great Plains Agric Council Publ 147:250–268
Callcott AA, Collins HL (1996) Invasion and rage expansion of imported fire ants (Hymenoptera: Formicidae) in Northern America from 1918–1995. Florida Entomol 79:240–251
Cammell ME, Knight JD (1992) Effects of climate change on the population dynamics of crop pests. Adv Ecol Res 22:117–162
Capinera JL (2001) Handbook of vegetable pests. Academic Press, San Diego, pp 729
Clausen CP (Ed) (1978) Introduced parasites and predators of arthropod pests and weeds: a world review. Washington, DC Agricultural research Service, United States Department of Agriculture, Agricultural Handbook No. 480
Culpepper GH (1953) The distribution of the imported fire ant in the Southern States. Proceedings of the Association of Agricultural Workers 50,102 pp
Daly C, Neilson RP, Philipps DL (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J Appl Meteorol 33:140–158
DeBach P (1964) Biological control of insect pests and weeds. Chapmann and Hall Ltd, London, pp 884
Dentener PR, Whiting DC, Connolly PG (2002) Thrips palmi Karny (Thysanoptera: Thripidae): could it survive in New Zealand? N Z Plant Prot 55:18–24
Elith J, Burgmann M (2002) Predictions and their validation: rare plants in the central highlands, Victoria, Australia. In: Scott JM, Heglund PJ, Morrison ML, Haufler JB, Raphael MG, Wall WA, Samson FB (eds) Predicting species occurrences: issues of accuracy and scale. Island Press, Washington, DC, pp 303–313
Fielding AH (2002) What are the appropriate characteristics of an accuracy measure? In: Scott JM, Heglund PJ, Morrison ML, Haufler JB, Raphael MG, Wall WA, Samson FB (eds) Predicting species occurrences: issues of accuracy and scale. Island Press, Washington, DC, pp 271–280
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49
Fortin MJ, Keitt TH, Maurer BA, Taper ML, Kaufmann DM, Blackburn TM (2005) Species’ geographic ranges and distributional limits: pattern analysis and statistical issues. Oikos 108:7–17
Gaston KJ (2003) The structure and dynamics of geographic ranges. Oxford University Press
Gevrey M, Worner SP (2006) Prediction of global distribution of insect pest species in relation to climate by using an ecological informatics method. J Econ Entomol 99:979–986
Goolsby JA, DeBarro PJ, Kirk AA, Sutherst RW, Canas L, Ciomperlik MA, Ellsworth PC, Gould JR, Hartley DM, Hoelmer KA, Naranjo SE, Rose M, Roltsch WJ, Ruiz RA, Pickett CH, Vacek DC (2005) Post-release evaluation of biological control of Bemisia tabaci biotype “B” in the USA and the development of predictive tools to guide introductions for other countries. Biol Control 32:70–77
Guisan A, Hofer U (2003) Predicting reptile distributions at the mesoscale: relation to climate and topography. J Biogeogr 30:1233–1243
Guisan A, Theurillat JP (2000) Equilibrium modeling of alpine plant distribution and climate change: how far can we go? Phytocoenologia 30:353–384
Guo QF, Qian H, Ricklefs RE, Xi WM (2006) Distributions of exotic plants in eastern Asia and North America. Ecol Lett 9:827–834
Hall RW, Ehler LE (1979) Rate of establishment of natural enemies in classical biological control. Bull Entomol Soc Am 25:280–282
Hance T, van Baaren J, Vernon P, Boivin G (2007) Impact of extreme temperatures on parasitoids in a climate change perspective. Annu Rev Entomol 52:107–126
Hartley S, Harris R, Lester PJ (2006) Quantifying uncertainty in the potential distribution of an invasive species: climate and the Argentine ant. Ecol Lett 9:1068–1079
Hengeveld R (1990) Dynamic and biogeography. Cambridge Univ. Press
Hoelmer KA, Kirk AA (2005) Selecting arthropod biological control agents against arthropod pests: can the science be improved to decrease the risk of releasing ineffective agents? Biol Control 34:255–264
Holt RD, Keitt TH (2000) Alternative causes for range limits: a metapopulation perspective. Ecol Lett 2:41–47
Hopper KR (1996) Making biological control introductions more effective. Biological control introductions opportunities for improved crop production. Proceedings of an international symposium Brighton, UK 18 November, British Crop Protection Council, Farnham, UK, pp 59–76
Hopper KR (1998) Assessing and improving the safety of introductions for biological control. Phytoprotection 79:84–93
Horton DL, Ellis HC (1989) Plum curculio. S.C. Myers Peach production handbook. Cooperative Extension Service, University of Georgia Athens, GA, pp 169–170
Kiritani K (2006) Predicting impacts of global warming on population dynamics and distribution of arthropods in Japan. Popul Ecol 48:5–12
Kriticos DJ, Randall PR (2001) A comparison of systems to analyze potential weed distributions. In: Groves RH, Panetta FD, Virtue JG (eds) Weed risk assessment. CSIRO, Melbourne, pp 61–79
Lawton JH (2000) Concluding remarks: a review of some open questions. In: Hutchings M, John E, Steward AJA (eds) Ecological consequences of heterogeneity. Cambridge University Press, pp 401–424
Leathwick JR (1998) Are New-Zealand’s Nothofagus species in equilibrium with their environment. J Veg Sci 9:719–732
Lim BK, Peterson AT, Engstrom MD (2002) Robustness of ecological niche modeling algorithms for mammals in Guyana. Biodivers Conserv 11:1237–1246
Loiselle BA, Howell CA, Graham CH, Goerck JM, Brooks T, Smith KG, Williams PH (2003) Avoiding pitfalls of using species distribution models in conservation planning. Conserv Biol 17:1591–600
MacKay WP, Fagerlund R (1997) Range expansion of the red imported fire ant Solenopsis invicta Buren (Hymenoptera: Formicidae), into New Mexico and extreme western Texas. Proc Entomol Soc Wash 99:757–758
Maier CT (1990) Native and exotic rosaceous hosts of apple, plum, and quince curculio larvae (Coleoptera: Curculionidae) in the northeastern United States. J Econ Entomol 83:1326–1332
Manel S, Williams HC, Ormerod SJ (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. J Appl Ecol 38:921–931
Margules CR, Austin MP (1994) Biological models for monitoring species decline: the construction and use of data bases. Philos Trans R Soc Lond B 344:69–75
Mason CE, Rice ME, Calvin DD, Van Duyn JW, Showers WB, Hutchison WD, Witkowski JF, Higgins RA, Onstad DW, Dively GP (1996) European corn borer ecology and management. North Central Regional Extension Publication No. 327, Iowa State University
Maurer BA (1994) Geographical population analysis: tools for the analysis of biodiversity. Blackwell
Messenger PS, van den Bosch R (1971) The adaptability of introduced biological control agents. In: Huffaker CB, Messenger PS (eds) Theory and practice of biological control. Academic Press, New York, pp 68–92
Metcalf RL, Metcalf RA (1993) Destructive and useful insects: their habits and control, 5th edn. McGraw-Hill, Inc., New York, pp 9.26–9.27
Mourell C, Ezcurra E (1996) Species richness of Argentine cacti: a test of biogeographic hypotheses. J Veg Sci 7:667–680
Peacock L, Worner S (2006) Using analogous climates and global insect distribution data to identify potential sources of new invasive insect pests in New Zealand. N Z J Zool 33:141–145
Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regressions. Ecol Model 133:225–245
Pearson RG, Dawson TP, Berry PM, Harrison PA (2002) SPECIES: a Spatial Evaluation of Climate Impact on the Envelope of Species. Ecol Model 154:289–300
Polavarapu S, Barry JD, Kyryczenko-Roth V (2004) Phenology and infestation patterns of plum curculio (Coleoptera: Curculionidae) on four highbush blueberry cultivars. J Econ Entomol 97:1899–1905
Rafoss T, Saethre MG (2003) Spatial and temporal distribution of bioclimatic potential for the codling moth and the Colorado potato beetle in Norway: model predictions versus climate and field data from the 1990s. Agric Forest Entomol 5:75–85
Rapoport EH (1982) Areography: geographical strategies of species. Pergamon Press. 269 pp
Samways MJ, Osborn R, Hastings H, Hattingh V (1999) Global climate change and accuracy of prediction of species’ geographical ranges: establishment success of introduced ladybirds (Coccinellidae, Chilocorus spp.) worldwide. J Biogeogr 26:795–812
SAS Institute Inc (1989) SAS/STAT User´s Guide, Version 6, Cary, NC 4 (2) 846 pp
Scott JM, Heglund PJ, Morrison ML, Haufler JP, Raphael MG, Wall WA, Samson FB (eds) (2002) Predicting species occurrences: issues of accuracy and scale. Island Press, Washington, DC, pp 868
Stephens AEA, Kriticos DJ, Leriche A (2007) The current and future potential geographical distribution of the oriental fruit fly, Bactrocera dorsalis (Diptera: Tephritidae). Bull Entomol Res 97:369–378
Stephenson NL (1998) Actual evapotranspiration and deficit: biologically meaningfully correlates of vegetation distribution across spatial scales. J Biogeogr 25:855–870
Stiling P (1990) Calculation the establishment rates of parasitoids in classical biological control. Am Entomol 36:225–230
Stiling P (1993) Why do natural enemies fail in classical biological control programs? Am Entomol 39:31–37
Stockman AK, Beamer DA, Bond JE (2006) An evaluation of a GARP model as an approach to predicting the spatial distribution of non-vagile invertebrate species. Divers Distrib 12:81–89
Stockwell DRB, Peters DP (1999) The GARP modeling system: problems and solutions to automated spatial prediction. Int J Geogr Inf Syst 13:143–158
Stoker RL, Ferris DK, Grant WE, Folse LJ (1994) Simulating colonization by exotic species: a model of the red imported fire ant (Solenopsis invicta) in North America. Ecol Model 73:281–292
Sutherst RW (2003) Prediction of species geographical ranges. J Biogeogr 30:805–816
Sutherst RW, Maywald GF (2005) A climate-model of the red imported fire ant, Solenopsis invicta Buren (Hymenoptera: Formicidae): implications for invasion of new regions, particularly Oceania. Environ Entomol 34:317–335
Sutherst RW, Maywald GF, Yonow T, Stevens PM (2005) Climex-predicting the effects of climate on plants and animals. User guide. CSIRO publishing, Victoria, Australia
Thompson WR, Parker HL (1928) The European corn borer and its controlling factors in Europe. US Department of Agriculture Technical Bulletin 59, Washington, DC
Tuda M, Matsumoto T, Itioka T, Ishida N, Takanashi M, Ashihara W, Kohyama M, Takagi M (2006) Climatic and intertrophic effects detected in 10-year population dynamics of biological control of the arrowhead scale by two parasitoids in southwestern Japan. Popul Ecol 48:59–70
Woodward FI, Beerling DJ (1997) The dynamics of vegetation change: health warnings for equilibrium and ‘dodo’ models. Global Ecol Biodivers Lett 6:413–418
Young AM, Blackshaw B, Maywald GF, Sutherst RW (1999) CLIMEX for Windows 1.1. Tutorials. CSIRO, Melbourne, pp 1–49
Zalucki MP, Furlong MJ (2005) Forecasting Helicoverpa populations in Australia: a comparison of regression based models and a bio-climatic based modeling approach. Insect Sci 12:45–56
Acknowledgments
We are grateful to Jim Pheasant of the National Agricultural Pest Information System (NAPIS) unit for giving us access to the extended US pest data-base.
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Ulrichs, C., Hopper, K.R. Predicting insect distributions from climate and habitat data. BioControl 53, 881–894 (2008). https://doi.org/10.1007/s10526-007-9143-8
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DOI: https://doi.org/10.1007/s10526-007-9143-8