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Combining field phenological observations with distribution data to model the potential distribution of the fruit fly Ceratitis rosa Karsch (Diptera: Tephritidae)

Published online by Cambridge University Press:  21 August 2012

M. de Villiers ,
V. Hattingh  and
D.J. Kriticos
M. de Villiers*
Affiliation:
Citrus Research International, Department of Conservation Ecology and Entomology, Faculty of AgriSciences, Stellenbosch University, PO Box 2201, Matieland, 7602South Africa
V. Hattingh
Affiliation:
Citrus Research International, Department of Conservation Ecology and Entomology, Faculty of AgriSciences, Stellenbosch University, PO Box 2201, Matieland, 7602South Africa
D.J. Kriticos
Affiliation:
CSIRO Ecosystem Sciences, GPO Box 1700, Acton, Canberra, ACT 2601, Australia Cooperative Research Centre for National Plant Biosecurity, Bruce, Canberra, ACT 2601, Australia
*
*Author for correspondence Fax: +27 21 882 8557 E-mail: dev@sun.ac.za
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Abstract

Despite the potential for phenological and abundance data to improve the reliability of species niche models, they are seldom used. The aim of this study was to combine information on the distribution, relative abundance and seasonal phenology of Natal fruit fly, Ceratitis rosa Karsch (Diptera: Tephritidae), in South Africa to model its potential global distribution. Bucket traps, baited with Biolure, were used to trap C. rosa in different climatic regions of South Africa over a two-year period. A CLIMEX niche model of the potential global distribution of C. rosa was fitted using the collected trapping data and other distribution records from South Africa. Independent distribution records for elsewhere in Africa were reserved for model validation. The CLIMEX model results conformed well to the South African trapping data, including information on relative abundance and seasonal phenology, as well as to the pattern of presence records of the species elsewhere in Africa. The model suggests that under recent historical conditions a large part of South America, Central America, Mexico and southern USA may be climatically suitable for establishment of C. rosa. In Europe, climatically suitable habitat is restricted to coastal regions of the Mediterranean, in Asia, mostly to the southern and south eastern countries, and in Australia mostly to the wetter south and east. The independent cross-validation provided by South African relative abundance and seasonal phenology data, central African distribution data and relevant species specific biological information provides greater confidence in the modelled potential distribution of C. rosa.

Keywords

CLIMEXrelative abundancephenologyphytosanitary regulationSouth Africa
Type
Research Paper
Information
Bulletin of Entomological Research , Volume 103 , Issue 1 , February 2013 , pp. 60 - 73
Copyright
Copyright © Cambridge University Press 2012

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References

Andrewartha, H.G. & Birch, L.C. (1954) The Distribution and Abundance of Animals. Chicago, IL, USA, University of Chicago Press.Google Scholar
Andrewartha, H.G. & Birch, L.C. (1984) The Ecological Web: More on the Distribution and Abundance of Animals. Chicago, IL, USA, University of Chicago Press.Google Scholar
Anonymous (1963) Insects not known to occur in the United States: Natal fruit fly (Ceratitis rosa Karsch). USDA Cooperative Economic Insect Report 13(38), 1132–1134.Google Scholar
Barnes, B.N. (2000) Monitoring and control of fruit flies in South African fruit orchards. pp. 147–152in Price, N.S. & Seewooruthun, I. (Eds) Proceedings of the Indian Ocean Commission, Regional Fruit Fly Symposium. Indian Ocean Commission, Flic en Flac, 5–9 June 2000, Mauritius.Google Scholar
Barnes, B., Rosenberg, S., Arnolds, L. & Johnson, J. (2007) Production and quality assurance in the SIT Africa Mediterranean fruit fly (Diptera: Tephritidae) rearing facility in South Africa. Florida Entomologist 90, 41–52.Google Scholar
Botha, J., Hardie, D. & Barnes, B. (2004) Natal fruit fly Ceratitis (Pterandrus) rosa. Exotic threat to Western Australia. Department of Agriculture Factsheet No. 6, Government of Western Australia, ISSN 1443–7783.Google Scholar
Copeland, R.S., Wharton, R.A., Luke, Q., De Meyer, M., Lux, S., Zenz, N., Machera, P. & Okumu, M. (2006) Geographic distribution, host fruit, and parasitoids of African fruit fly pests Ceratitis anonae, Ceratitis cosyra, Ceratitis fasciventris, and Ceratitis rosa (Diptera: Tephritidae) in Kenya. Annals of the Entomological Society of America 99, 261–278.CrossRefGoogle Scholar
De Meyer, M. (2001) Distribution patterns and host-plant relationships within the genus Ceratitis Macleay (Diptera: Tephritidae) in Africa. Cimbebasia 17, 219–228.Google Scholar
De Meyer, M., Robertson, M.P., Peterson, A.T. & Mansell, M.W. (2008) Ecological niches and potential geographical distributions of Mediterranean fruit fly (Ceratitis capitata) and Natal fruit fly (Ceratitis rosa). Journal of Biogeography 35, 270–281.Google Scholar
De Villiers, E.A. & Grové, T. (2006) Fruit flies. pp. 302–305in De Villiers, E.A. & Joubert, P.H. (Eds) The Cultivation of Citrus. Nelspruit, South Africa, ARC-Institute for Tropical and Subtropical Crops.Google Scholar
Duncan, R.P., Cassey, P. & Blackburn, T.M. (2009) Do climate envelope models transfer? A manipulative test using dung beetle introductions. Proceedings of the Royal Society, Series B: Biological Sciences 276, 1449–1457.Google Scholar
Du Toit, W.J. (1998) Family Tephritidae: fruit flies. pp. 229–233in Bedford, E.C.G., Van den Berg, M.A. & De Villiers, E.A. (Eds) Citrus Pests in the Republic of South Africa. 2nd edn. Nelspruit, South Africa, Dynamic Ad.Google Scholar
Duyck, P.F. & Quilici, S. (2002) Survival and development of different life stages of three Ceratitis spp. (Diptera: Tephritidae) reared at five constant temperatures. Bulletin of Entomological Research 92, 461–469.Google Scholar
Duyck, P.F., David, P., Junod, G., Brunel, C., Dupont, R. & Quilici, S. (2006a) Importance of competition mechanisms in successive invasions by polyphagous Tephritids in La Réunion. Ecology 87, 1770–1780.Google Scholar
Duyck, P.F., David, P. & Quilici, S. (2006b) Climatic niche partitioning following successive invasions by fruit flies in La Réunion. Journal of Animal Ecology 75, 518–526.Google Scholar
Elith, J., Phillips, S.J., Hastie, T., Dudík, M., En Chee, Y. & Yates, C.J. (2011) A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17, 43–57.Google Scholar
EPPO (2007) EPPO's plant quarantine data retrieval system, version 4.6, December 2007. Available online at http://www.eppo.org/DATABASES/pqr/pqr.htm (accessed January 2011).Google Scholar
FAO (2006) International Standards for Phytosanitary Measures, 1 to 24. Rome, Italy, Secretariat of the International Plant Protection Convention.Google Scholar
Graham, C.H., Elith, J., Hijmans, R.J., Guisan, A., Peterson, A.T. & Loiselle, B.A. (2008) The influence of spatial errors in species occurrence data used in distribution models. Journal of Applied Ecology 45, 239–247.Google Scholar
Graham, J., Newman, G., Kumar, S., Jarnevich, C., Young, N., Crall, A., Stohlgren, T.J. & Evangelista, P. (2010) Bringing modeling to the masses: a web based system to predict potential species distributions. Future Internet 2, 624–634.Google Scholar
Grout, T.G. & Stoltz, K.C. (2007) Developmental rates at constant temperatures of three economically important Ceratitis spp. (Diptera: Tephritidae) from southern Africa. Environmental Entomology 36, 1310–1317.CrossRefGoogle ScholarPubMed
Guisan, A. & Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling 135, 147–186.Google Scholar
Hancock, D.L. (1984) Ceratitinae (Diptera: Tephritidae) from the Malagasy subregion. Journal of the Entomological Society of Southern Africa 47, 277–301.Google Scholar
Hepburn, G.A. & Bishop, H.J. (1954) The insect pests of citrus in South Africa. Department of Agriculture, Union of South Africa, Bulletin No. 333, 1–31.Google Scholar
Keane, R.M. & Crawley, M.J. (2002) Exotic plant invasions and the enemy release hypothesis. Trends in Ecology & Evolution 17, 164–170.Google Scholar
Köppen, W. (1936) Das geographische system der klimate [The geographical system of the climate]44 pp. in Köppen, W. & Geiger, R. (Eds) Handbuch der Klimatologie. Berlin, Germany, Gebrüder Borntraeger.Google Scholar
Kriticos, D.J. & Randall, R.P. (2001) A comparison of systems to analyse potential weed distributions. pp. 61–79in Groves, R.H., Panetta, F.D. & Virtue, J.G. (Eds). Weed Risk Assessment. Melbourne, Australia, CSIRO Publishing.Google Scholar
Kriticos, D.J., Potter, K.J.B., Alexander, N.S., Gibb, A.R. & Suckling, D.M. (2007) Using a pheromone lure survey to establish the native and potential distribution of an invasive Lepidopteran, Uraba lugens. Journal of Applied Ecology 44, 853–863.Google Scholar
Kriticos, D.J., Webber, B.L., Leriche, A., Ota, N., Macadam, I., Bathols, J. & Scott, J.K. (2012) CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods in Ecology and Evolution 3, 53–64.Google Scholar
Li, B., Ma, J., Hu, X., Liu, H. & Zhang, R. (2009) Potential geographical distributions of the fruit flies Ceratitis capitata, Ceratitis cosyra, and Ceratitis rosa in China. Journal of Economic Entomology 102, 1781–1790.Google Scholar
Lobo, J.M., Jiménez-Valverde, A. & Real, R. (2008) AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography 17, 145–151.Google Scholar
Myburgh, A.C. (1962) Mating habits of the fruit flies Ceratitis capitata (Wied.) and Pterandrus rosa (Ksh.). South African Journal of Agricultural Science 5, 457–464.Google Scholar
Phillips, S.J., Anderson, R.P. & Schapire, R.E. (2006) Maximum entropy modelling of species geographic distribution. Ecological Modelling 190, 231–259.Google Scholar
Quilici, S., Franck, A., Peppuy, A., Dos Reis Correia, E., Mouniama, C. & Blard Cirad-Flhor, F. (2002) Comparative studies of courtship behavior of Ceratitis spp. (Diptera: Tephritidae) in Reunion Island. Florida Entomologist 85, 138–142.Google Scholar
Rahmstorf, S., Cazenave, A., Church, J.A., Hansen, J.E., Keeling, R.F., Parker, D.E. & Somerville, R.C.J. (2007) Recent climate observations compared to projections. Science 316, 709.Google Scholar
Randin, C.F., Dirnböck, T., Dullinger, S., Zimmermann, N.E., Zappa, M. & Guisan, A. (2006) Are niche-based species distribution models transferable in space? Journal of Biogeography 33, 1689–1703.Google Scholar
Ripley, L.B. & Hepburn, G.A. (1930) The wintering of the Natal fruit fly. Farming in South Africa 5, 439–441.Google Scholar
Rodda, G.H., Jarnevich, C.S. & Reed, R.N. (2011) Challenges in identifying sites climatically matched to the native ranges of animal invaders. PLoS One 6, 1–18.CrossRefGoogle Scholar
Scott, J.K. (1992) Biology and climatic requirements of Perapion antiquum (Coleoptera, Apionidae) in southern Africa: implications for the biological-control of Emex spp. in Australia. Bulletin of Entomological Research 82, 399–406.Google Scholar
Shelford, V.E. (1963) The Ecology of North America. Urbana, IL, USA, University of Illinois Press.Google Scholar
Sutherst, R.W. (1987) The dynamics of hybrid zones between tick (Acari) species. International Journal of Parasitology 17, 921–926.Google Scholar
Sutherst, R.W. & Bourne, A.S. (2009) Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms. Biological Invasions 11, 1231–1237.Google Scholar
Sutherst, R.W. & Maywald, G.F. (1985) A computerised system for matching climates in ecology. Agriculture, Ecosystems and Environment 13, 281–299.Google Scholar
Sutherst, R.W., Maywald, G.F. & Kriticos, D. (2007) CLIMEX Version 3 User's Guide, Hearne Scientific Software Pty Ltd. Available online at http://www.hearne.com.au/attachments/ClimexUserGuide3.pdf (accessed August 2010).Google Scholar
Van der Ploeg, R.R., Böhm, W. & Kirkham, M.B. (1999) On the origin of the theory of mineral nutrition of plants and the law of the minimum. Soil Science Society of America Journal 63, 1055–1062.Google Scholar
Venette, R.C., Kriticos, D.J., Magarey, R.D., Koch, F.H., Baker, R.H.A., Worner, S.P., Gómez Raboteaux, N.N., McKenney, D.W., Dobesberger, E.J., Yemshanov, D., De Barro, P.J., Hutchison, W.D., Fowler, G., Kalaris, T.M. & Pedlar, J. (2010) Pest risk maps for invasive alien species: a roadmap for improvement. BioScience 60, 349–362.Google Scholar
Vera, M.T., Rodriguez, R., Segura, D.F., Cladera, J.L. & Sutherst, R.W. (2002) Potential geographical distribution of the Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae), with emphasis on Argentina and Australia. Environmental Entomology 31, 1009–1022.Google Scholar
Webber, B.L., Yates, C.J., Le Maitre, D.C., Scott, J.K., Kriticos, D.J., Ota, N., McNeill, A., Le Roux, J.J. & Midgley, G.F. (2011) Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models. Diversity and Distributions 17, 978–1000.Google Scholar
Weems, H.V. (1966) Natal fruit fly (Ceratitis rosa Karsch) (Diptera: Tephritidae). Florida Department of Agriculture and Consumer Services, Division of Plant Industry, Entomology Circular No. 51, 2 pp.Google Scholar
White, I.M. & Elson-Harris, M.M. (1992) Fruit Flies of Economic Significance: Their Identification and Bionomics. Wallingford, UK, CAB International.Google Scholar
Wieczorek, J., Guo, Q. & Hijmans, R.J. (2004) The point-radius method for georeferencing locality descriptions and calculating associated uncertainty. International Journal of Geographical Information Science 18, 745–767.Google Scholar
Woodward, F.I. (1987) Climate and Plant Distribution. Cambridge, UK, Cambridge University Press.Google Scholar
Zalucki, M.P. & Van Klinken, R.D. (2006) Predicting population dynamics of weed biological control agents: Science or gazing into crystal balls? Australian Journal of Entomology 45, 331–344.CrossRefGoogle Scholar