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Including climate change in pest risk assessment: the peach fruit fly, Bactrocera zonata (Diptera: Tephritidae)

Published online by Cambridge University Press:  10 October 2011

W.L. Ni ,
Z.H. Li ,
H.J. Chen ,
F.H. Wan ,
W.W. Qu ,
Z. Zhang  and
D.J. Kriticos
W.L. Ni
Affiliation:
Department of Entomology, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China Chinese Academy of Inspection and Quarantine, Beijing 100123, China
Z.H. Li*
Affiliation:
Department of Entomology, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
H.J. Chen*
Affiliation:
Chinese Academy of Inspection and Quarantine, Beijing 100123, China
F.H. Wan
Affiliation:
Institute of Plant Protection, Chinese Academy of Agriculture Sciences, Beijing 100081, China
W.W. Qu
Affiliation:
Department of Entomology, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
Z. Zhang
Affiliation:
Department of Entomology, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China
D.J. Kriticos
Affiliation:
CSIRO Ecosystem Sciences and Climate Adaptation Flagship, GPO Box 1700, Canberra, ACT 2601, Australia
*
*Authors for correspondence China Agricultural University and Chinese Academy of Inspection and Quarantine contributed equally to this paper. Fax: 8610-62733000 E-mail: lizh@cau.edu.cn
E-mail: chenhj1225@263.net
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Abstract

Bactrocera zonata (Saunders) is one of the most harmful species of Tephritidae. It causes extensive damage in Asia and threatens many countries located along or near the Mediterranean Sea. The climate mapping program, CLIMEX 3.0, and the GIS software, ArcGIS 9.3, were used to model the current and future potential geographical distribution of B. zonata. The model predicts that, under current climatic conditions, B. zonata will be able to establish itself throughout much of the tropics and subtropics, including some parts of the USA, southern China, southeastern Australia and northern New Zealand. Climate change scenarios for the 2070s indicate that the potential distribution of B. zonata will expand poleward into areas which are currently too cold. The main factors limiting the pest's range expansion are cold, hot and dry stress. The model's predictions of the numbers of generations produced annually by B. zonata were consistent with values previously recorded for the pest's occurrence in Egypt. The ROC curve and the AUC (an AUC of 0.912) were obtained to evaluate the performance of the CLIMEX model in this study. The analysis of this information indicated a high degree of accuracy for the CLIMEX model. The significant increases in the potential distribution of B. zonata projected under the climate change scenarios considered in this study suggest that biosecurity authorities should consider the effects of climate change when undertaking pest risk assessments. To prevent the introduction and spread of B. zonata, enhanced quarantine and monitoring measures should be implemented in areas that are projected to be suitable for the establishment of the pest under current and future climatic conditions.

Keywords

Bactrocera zonataCLIMEXclimate changeAUCpotential geographic distributionArcGIS
Type
Research Paper
Information
Bulletin of Entomological Research , Volume 102 , Issue 2 , April 2012 , pp. 173 - 183
Copyright
Copyright © Cambridge University Press 2011

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References

Abdel-Galil, F.A. (2007) Final report for the project no PS-FAI-020-03, ‘Study on biological means for controlling the Mediterranean fruit fly Ceratitis capitata (Wiedemann) in New Valley Governorate’ and submitted by the Academy of Scientific Research and Technology, Cairo, Egypt 73.Google Scholar
Agarwal, M.L., Kumar, P. & Kumar, V. (1999) Population suppression of Bactrocera dorsalis (Hendel) by Bactrocera zonata (Saunders) (Diptera: Tephritidae) in North Bihar. Shashpa 6, 189–191.Google Scholar
Allouche, O., Tsoar, A. & Kadmon, R. (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Ecology 43, 1223–1232.Google Scholar
Baker, R.H.A., Sansford, C.E., Jarvis, C.H., Cannon, R.J.C., MacLeod, A. & Walters, K.F.A. (2000) The role of climate mapping in predicting the potential geographical distribution of non-indigenous pests under current and future climates. Agriculture, Ecosystems and Environment 82, 57–71.CrossRefGoogle Scholar
Bourdôt, G.W., Lamoureaux, S.L., Watt, M.S., Manning, L.K. & Kriticos, D.J. (2010) The potential global distribution of the invasive weed Nassella neesiana under current and future climates. Biological Invasions (doi: 10.1007/s10530-010-9905-6).Google Scholar
Butani, D.K. (1976) Insect pests of fruit crops and their control: custard apple. Pesticides 10, 27–28.Google Scholar
Butani, D.K. & Verma, S. (1977) Pests of vegetables and their control: cucurbits. Pesticides 11, 37–41.Google Scholar
CABI (2010) Crop Protection Compendium. Available online at http://www.cabi.org/cpc/ (accessed 26 September 2010).Google Scholar
Carey, J.R. & Dowell, R.V. (1989) Exotic fruit pests and California agriculture. California Agriculture 43, 38–40.Google Scholar
Chris, K.F., Thomas, R.K. & Salinger, M.J. (2002) Observed climate variability and change. weather 57, 269–278.Google Scholar
Duyck, P.F., Sterlin, J.F. & Quilici, S. (2004) Survival and development of different life stages of Bactrocera zonata reared at five constant temperatures compared to other fruit fly species. Bulletin of Entomological Research 94, 89–93.CrossRefGoogle ScholarPubMed
Duyck, P.F., David, P., Pavoine, S. & Quilici, S. (2006) Climatic niche partitioning following successive invasions by fruit flies in La Réunion. Journal of Animal Ecology 75, 518–526.CrossRefGoogle ScholarPubMed
FAO (Food & Agriculture Organisation) (2000) Action plan peach fruit fly, Bactrocera zonata (Saunders) [M] 1–48.Google Scholar
Fielding, A.H. & Bell, J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24, 38–49.CrossRefGoogle Scholar
Geng, J., Li, Z.H., Rajotte, E.G., Wan, F.H., Lu, X.Y. & Wang, Z.L. (2011) Potential geographical distribution of Rhagoletis pomonella (Diptera: Tephritidae) in China. Insect Science 00, 1–8.Google Scholar
Grewal, J.S. & Malhi, C.S. (1987) Prunus persica Batsch damage by birds and fruit fly pests in Ludhiana (Punjab). Journal of Entomological Research 11, 119–120.Google Scholar
Hanley, J.A. & McNeil, B.J. (1982) The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology 143, 29–36.CrossRefGoogle Scholar
Hashem, A.G., Mohamed, S.M.A. & El-Wakkad, M.F. (2001) Diversity and abundance of Mediterranean and peach fruit flies (Diptera: Tephritidae) in different horticultural orchards. Egyptian Journal of Applied Science 16, 303–314.Google Scholar
IPCC-TGCIA (1999) Guidelines on the use of scenario data for climate impact and adaptation assessment. Prepared by Carter, T.R., Hulme, M. & Lal, M. Intergovernmental Panel of Climate Change.Google Scholar
IPCC (2001) Climate change 2001: synthesis report. Question 1–9. Prepared by Intergovernmental Panel of Climate Change.Google Scholar
IPCC (2007) Climate change 2007: synthesis report. Prepared by Intergovernmental Panel of Climate Change.CrossRefGoogle Scholar
Iwahashi, O. & Routhier, W. (2001) Aedeagal length and its variation of the peach fruit fly, Bactrocera zonata, which recently invaded Egypt. Applied Entomology and Zoology 36, 13–17.CrossRefGoogle Scholar
Kapoor, V.C. (1993) Indian Fruit Flies: Insecta – Diptera: Tephritidae. New Delhi, India, Oxford & IBH Publishing Co.Google Scholar
Kapoor, V.C. & Agarwal, M.L. (1983) Fruit flies and their increasing host plants in India. pp. 252–257 in Proceedings of the CEC/IOBC International Symposium. 16–19 November 1982, Athens, Greece.Google Scholar
Kraemer, H.C. (1988) Assessment of 2×2 associations: generalization of signal-detection methodology. American Statistical Association 42, 37–49.Google Scholar
Kriticos, D.J. (1996) The role of modelling in weed management. pp. 560–569in Shepherd, R.C.H. (Ed) Proceedings of the Eleventh Australian Weeds Conference. Weed Science Society of Victoria, 30 September–3 October 1996, Melbourne, Australia.Google Scholar
Kriticos, D.J., Sutherst, R.W., Brown, J.R., Adkins, S.A. & Maywald, G.F. (2003a) Climate change and biotic invasions: a case history of a tropical woody vine. Biological Invasions 5, 145–165.CrossRefGoogle Scholar
Kriticos, D.J., Sutherst, R.W., Brown, J.R., Adkins, S.A. & Maywald, G.F. (2003b) Climate change and the potential distribution of an invasive alien plant: Acacia nilotica ssp. indica in Australia. Journal of Applied Ecology 40, 111–124.CrossRefGoogle Scholar
Kriticos, D.J., Alexander, N.S. & Kolomeitz, S.M. (2006) Predicting the potential geographic distribution of weeds in 2080. pp. 27–34in Preston, C.Watts, J.H. & Crossman, N.P. (Eds) Proceedings of the Fifteenth Australian Weeds Conference. Weed Science Society of Victoria, 24–28 September 2006, Adelaide, Australia.Google Scholar
Lv, W.G., Lin, W., Li, Z.H., Geng, J., Wan, F.H. & Wang, Z.L. (2008) Potential geographic distribution of Ber fruit fly, Carpomya vesuviana Costa, in China. Plant Quarantine 6, 343–347.Google Scholar
Mahmoud, Y.A. (2004). Studies on the peach fruit fly Bactrocera zonata (Saunders) with special reference to the effect of gamma-ray. PhD thesis, Menoufia University.Google Scholar
McPherson, J.M., Jetz, W. & Rogers, D.J. (2004) The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? Journal of Applied Ecology 41, 811–823.CrossRefGoogle Scholar
Mitchell, T.D., Carter, T.R., Jones, P.D., Hulme, M. & New, M. (2004) A Comprehensive Set of Climate Scenarios for Europe and the Globe: The Observed Record (1900–2000) and 16 Scenarios (2000–2100). University of East Anglia. Working Paper.Google Scholar
Ni, W.L., Li, Z.H., Wan, F.H. & Wang, Z.L. (2009) Potential geographic distribution of Bactrocera scutellata (Hendel), in China. Chinese Journal of Biological Control (add) 2, 61–67.Google Scholar
OEPP/EPPO (2005) Bulletin OEPP/EPPO Bulletin 35, 371–373.Google Scholar
Qu, W.W., Li, Z.H., Wan, F.H. & Wang, Z.L. (2009) Potential geographic distribution of papaya fruit fly, in China. Chinese Journal of Biological Control (add) 2, 68–73.Google Scholar
Qureshi, Z.A., Hussain, T. & Siddiqui, Q.H. (1991) Relative preference of mango varieties by Dacus zonatus and D. dorsalis. Pakistan Journal of Zoology 23, 85–87.Google Scholar
Qureshi, Z., Hussain, T., Carey, J.R. & Dowell, R.V. (1993) Effects of temperature on development of Bactrocera zonata (Saunders) (Diptera: Tephritidae). Pan-Pacific Entomologist 69(1), 71–76.Google Scholar
Robertson, E.A. & Zweig, M.H. (1981) Use of receiver operating curves to evaluate the clinical performance of analytical systems. Clinical Chemistry 27, 1569–1574.CrossRefGoogle ScholarPubMed
Robertson, E.A., Zweig, M.H. & Van, S.M.D. (1983) Evaluating the clinical accuracy of laboratory tests. American Journal of Clinical Pathology 79, 78–86.CrossRefGoogle Scholar
Spaugy, L. (1988) Fruit flies: two more eradication projects over. Citrograph 73, 168.Google Scholar
Stephens, A.E.A., Kriticos, D.J. & Leriche, A. (2007) The current and future potential geographical distribution of the oriental fruit fly, Bactrocera dorsalis (Diptera: Tephritidae). Bulletin of Entomological Research 97, 369–378.CrossRefGoogle Scholar
Sutherst, R.W. & Maywald, G.F. (2005) A climate model of the red imported fire ant, Solenopsis invicta Buren (Hymenoptera: Formicidae): implications for invasion of new regions, particularly Oceania. Environmental Entomology 34, 317–335.CrossRefGoogle Scholar
Sutherst, R.W., Collyer, B.S. & Yonow, T. (2000) The vulnerability of Australian horticulture to the Queensland fruit fly, Bactrocera tryoni, under climate change. Australian Journal of Agricultural Research 51, 467–480.CrossRefGoogle Scholar
Sutherst, R.W., Maywald, G.F., Bottomley, W. & Bourne, A. (2004) CLIMEX v2 CD and User's Guide. Melbourne, Hearne Scientific Software Pty Ltd.Google Scholar
Sutherst, R.W., Maywald, G.F. & Kriticos, D.J. (2007) CLIMEX Version 3: User's Guide. Hearne Scientific Software Pty Ltd. Available online at www.Hearne.com.au (accessed 12 November 2008).Google Scholar
Swets, J.A. (1988) Measuring the accuracy of diagnostic systems. Science 240, 1285–1293.CrossRefGoogle ScholarPubMed
Syed, R.A., Ghani, M.A. & Murtaza, M. (1970) Studies on the trypetids and their natural enemies in West Pakistan. III. Dacus zonatus (Saunders). Technical Bulletin, Commonwealth Institute of Biological Control.Google Scholar
Van Steirteghem, A.C., Zweig, M.H., Robertson, E.A., Bernard, R.M., Putzeys, G.A. & Bieva, C. (1982) Comparison of the effectiveness of four clinical chemical assays in classifying patients’ chest pain. Clinical Chemistry 28, 1319–1324.CrossRefGoogle 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.CrossRefGoogle Scholar
Wang, J.W., Li, Z.H., Chen, H.J., Geng, J., Wang, Z.L. & Wan, F.H. (2009) The potential geographic distribution of Bactrocera tsuneonis (Diptera: Tephritidae). Plant Quarantine 1, 1–4.Google Scholar
Wang, Y.S., Xie, B.Y., Wan, F.H., Xiao, Q.M. & Dai, L.Y. (2007) Application of ROC curve analysis in evaluating the performance of alien species’ potential distribution models. Biodiversity Science 15(4), 365–372.Google Scholar
Watt, M.S., Kriticos, D.J. & Manning, L.K. (2009) The current and future potential distribution of Melaleuca quinquenervia. European Weed Research Society Weed Research 49, 381–390.Google Scholar
White, I.M. & Elson-Harris, M.M. (1992) Fruit Flies of Economic Significance: Their Identification and Bionomics. Wallingford, UK, CAB International.CrossRefGoogle Scholar
Worner, S.P. (1988) Ecoclimatic assessment of potential establishment of exotic pests. Journal of Economic Entomology 81, 973–983.CrossRefGoogle Scholar
Ye, Q. & Huang, X.J. (2002) World mango production and trade. Chinese Jounral of Tropical Agriculture 22(6), 44–49.Google Scholar
Yonow, T. & Sutherst, R.W. (1998) The geographical distribution of the Queensland fruit fly, Bactrocera tryoni, in relation to climate. Australian Journal of Agricultural Research 49, 935–953.Google Scholar
Zweig, M.H. & Campbell, G. (1993) Receiver-operating characteristics (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry 39, 561–577.CrossRefGoogle Scholar
Zweig, M.H. & Robertson, E.A. (1982) Why we need better test evaluations. Clinical Chemistry 28, 1272–1276.CrossRefGoogle ScholarPubMed
Zweig, M.H., Broste, S.K. & Reinhart, R.A. (1992) ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein concentration in identifying patients with coronary artery disease. Clinical Chemistry 38, 1425–1428.CrossRefGoogle ScholarPubMed