Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-26T02:40:55.212Z Has data issue: false hasContentIssue false

Effect of temperature on the phenology of Chilo partellus (Swinhoe) (Lepidoptera, Crambidae); simulation and visualization of the potential future distribution of C. partellus in Africa under warmer temperatures through the development of life-table parameters

Published online by Cambridge University Press:  17 September 2014

N. Khadioli
Affiliation:
Icipe – African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya
Z.E.H. Tonnang
Affiliation:
Icipe – African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya
E. Muchugu
Affiliation:
Icipe – African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya
G. Ong'amo
Affiliation:
Icipe – African Insect Science for Food and Health, P.O. Box 30772-00100, Nairobi, Kenya
T. Achia
Affiliation:
School of Mathematics, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya School of Public Health, University of the Western Cape, Bellville, Cape Town 7535, South Africa
I. Kipchirchir
Affiliation:
School of Mathematics, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
J. Kroschel
Affiliation:
International Potato Center, Apartado 1558, Lima 12, Peru
B. Le Ru*
Affiliation:
Unité de Recherche IRD 072, Icipe – African Insect Science for Food and Health, P.O. Box 30772, Nairobi, Kenya or Université Paris-Sud 11, 91405 Orsay cedex, France
*
*Author for correspondence Phone: 254 (0) 20 8632055: Fax: 254 (0) 20 8632001 or 8632002 E-mail: [email protected]

Abstract

Maize (Zea mays) is a major staple food in Africa. However, maize production is severely reduced by damage caused by feeding lepidopteran pests. In East and Southern Africa, Chilo partellus is one of the most damaging cereal stem borers mainly found in the warmer lowland areas. In this study, it was hypothesized that the future distribution and abundance of C. partellus may be affected greatly by the current global warming. The temperature-dependent population growth potential of C. partellus was studied on artificial diet under laboratory conditions at six constant temperatures (15, 18, 20, 25, 28, 30, 32 and 35 °C), relative humidity of 75±5% and a photoperiod of L12:L12 h. Several non-linear models were fitted to the data to model development time, mortality and reproduction of the insect species. Cohort updating algorithm and rate summation approach were stochastically used for simulating age and stage structure populations and generate life-table parameters. For spatial analysis of the pest risk, three generic risk indices (index of establishment, generation number and activity index) were visualized in the geographical information system component of the advanced Insect Life Cycle modeling (ILCYM) software. To predict the future distribution of C. partellus we used the climate change scenario A1B obtained from WorldClim and CCAFS databases. The maps were compared with available data on the current distribution of C. partellus in Kenya. The results show that the development times of the different stages decreased with increasing temperatures ranging from 18 to 35 °C; at the extreme temperatures, 15 and 38 °C, no egg could hatch and no larvae completed development. The study concludes that C. partellus may potentially expands its range into higher altitude areas, highland tropics and moist transitional regions, with the highest maize potential where the species has not been recorded yet. This has serious implication in terms of food security since these areas produce approximately 80% of the total maize in East Africa.

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abraham, C.C., Thomas, B., Karunakaran, K. & Gopalakrishnan, R. (1972) Effect of planting seasons and the associated weather condition on the incidence of rice stem borer, Tryporyza incertulas (Walker). Agriculture Research Journal Kerala 10(2), 141151.Google Scholar
Abraham, M.G. & Savage, M.J. (2006) Potential impacts of climate change on the grain yield of maize for the midlands of KwaZulu-Natal, South Africa. Agriculture Ecosystems and Environment 115, 150160.CrossRefGoogle Scholar
Akaike, H. (1973) Information theory as an extension of the maximum likelihood principle. pp. 267281 in Petrov, B.N. & Csaki, K. (Eds) Second International Symposium on Information Theory. Akademiai Kiado, Budapest.Google Scholar
Baker, C.R.B. (1991) The validation and use of a life-cycle simulation model for risk assessment of insect pests. Bulletin OEPP 21, 615622.Google Scholar
Bale, J.S., Masters, G.J., Hodkinson, I.D., Awmack, C., Bezemer, T.M., Brown, V.K., Buttefield, J., Buse, A., Coulson, J.C., Farrar, J., Good, J.E.G., Harrington, R., Hartley, S., Jones, T.H., Lindroth, R.L., Press, M.C., Symrnioudis, I., Watt, A.D. & Whittaker, J.B. (2002) Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Global Change Biology 8(1), 116.Google Scholar
Beaumont, J.L., Hughes, L. & Poulsen, M. (2005) Predicting species distributions: use of climate parameters in BIOCLIM and its impact on predictions of species current and future distribution. Ecological Modeling 186, 250269.Google Scholar
Briere, J.F., Pracros, P., Le Roux, A.Y. & Pierre, J.S. (1999) A novel rate model of temperature-dependent development for arthropods. Environmental Entomology 28(1), 2229.Google Scholar
Cairns, J.E., Sonder, K., Zaidi, P.H., Verhulst, N., Mahuku, G., Babu, R., Nair, S.K., Das, B., Govaerts, B., Vinayan, M.T., Rashid, Z., Noor, J., Devi, P., San Vicente, F. & Prasanna, B.M. (2012) Maize production in a changing climate: impacts, adaptation and mitigation strategies. pp. 158 in Sparks, D. (Ed.) Advances in Agronomy, vol. 114, Elsevier Inc. Academic Press.Google Scholar
Cammell, M.E. & Knight, J.D. (1992) Effects of climatic change on the population dynamics of crop pests. Advances in Ecological Research 22(1), 17162.Google Scholar
Chabi-Olaye, A., Nolte, C., Schulthess, F. & Borgemeister, C. (2005) Relationships of intercropped maize, stem borer damage to maize yield and land-use efficiency in the humid forest of Cameroon. Bulletin of Entomological Research 95, 417425.Google Scholar
Challinor, A., Wheeler, T., Garforth, C., Craufurd, P. & Kassam, A. (2007) Assessing the vulnerability of food crop systems in Africa to climate change. Climatic Change 83(3), 381399.Google Scholar
Crozier, L. & Dwyer, G. (2006) Combing population-dynamic and ecophysiological models to predict climate- induced insect range shifts. The American Naturalist 167, 853866.Google Scholar
Curry, G.L., Feldman, R.M. & Smith, K.C. (1978) Stochastic model for a temperature-dependent population. Theoretical Population Biology 13, 197213.CrossRefGoogle ScholarPubMed
De Groote, H. (2002) Maize yield losses from stemborers in Kenya. Insect Science and its Application 22, 8996.Google Scholar
De Groote, H., Bett, C., Okuro, J.O., Odendo, M., Mose, L. & Wekesa, E. (2004) Direct estimation of maize crop losses due to stemborers in Kenya, preliminary results from 2000 and 2001. pp. 401406 in Integrated Approaches to Higher Maize Productivity in the New Millennium. Proceedings of the 7th Eastern and Southern Africa Regional Maize Conference. CIMMYT, Mexico, DF.Google Scholar
Deutsch, C.A., Tewksbury, J.J., Huey, R.B., Sheldon, K.S., Ghalambor, C.K., Haak, D.C. & Martin, P.R. (2008) Impacts of climate warming on terrestrial ectotherms across latitude. Proceedings of the National Academy of Sciences 105(18), 66686672.Google Scholar
Dinar, A., Benhin, J., Hassan, R. & Mendelsohn, R. (2012) Climate Change and Agriculture in Africa: Impact Assessment and Adaptation Strategies. Routledge, Earthscan Climate Series, 224 pp.Google Scholar
Dixon, A.F., Honěk, A., Keil, P., Kotela, M.A.A., Šizling, A.L. & Jarošík, V. (2009) Relationship between the minimum and maximum temperature thresholds for development in insects. Functional Ecology 23(2), 257264.CrossRefGoogle Scholar
Ebenebe, A.A., Van den Berg, J. & Van der Linde, T.C. (2001) Farm management practices and farmers’ perceptions of stalk-borers of maize and sorghum in Lesotho. International Journal of Pest Management 47, 4148.Google Scholar
Estay, S.A., Lima, M. & Labra, F.A. (2009) Predicting insect pest status under climate change scenarios: combining experimental data and population dynamics modeling. Journal of Applied Entomology 133, 491499.Google Scholar
Guofa, Z., Overholt, W.A. & Mochiah, M.B. (2002) Changes in the distribution of lepidopteran maize stemborers in Kenya from 1950s to 1990s. Insect Science and its Application 21, 395402.Google Scholar
Hance, T., Van Baaren, J., Vernon, P. & Boivin, G. (2007) Impact of extreme temperatures on parasitoids in a climate change perspective. Annual Review of Entomology 52, 107126.Google Scholar
Harris, K.M. & Nwanze, K.F. (1992) Busseola fusca (Fuller), the African Maize Stalk Borer. A Handbook of Information. Information bulletin 33. India, ICRISAT Patancheru and Oxon, UK, CABI, 84 pp.Google Scholar
Hellmuth, M.E., Moorhead, A., Thomson, M.C. & Williams, J. (2007) Climate Risk Management in Africa: Learning from Practice. New York, International Research Institute for Climate and Society (IRI), Columbia University.Google Scholar
Hilbert, D.W. & Logan, J.A. (1983) Empirical model of nymphal development for the migratory grasshopper, Melanoplus sanguinipes (Orthoptera: Acrididae). Environmental Entomology 12, 15.CrossRefGoogle Scholar
Hodkinson, I.D. (1999) Species response to global environmental change or why ecophysiological models are important: a reply to Davis et al.. Journal of Animal Ecology 68, 12591262.Google Scholar
Honek, A.L.O.I.S., Jarosik, V.O.J.T.E.C.H. & Martinkova, Z.D.E.N.K.A. (2003) Effect of temperature on development and reproduction in Gastrophysa viridula (Coleoptera: Chrysomelidae). European Journal of Entomology 100(2), 295300.Google Scholar
Hutchison, W.D., Venette, R.C., Bergvinson, D. & Van den Berg, J. (2008) Pest Distribution Profile, Chilo partellus (Swinhoe) (Lepidoptera: Crambidae). in HarvestChoice, Developed Workshop, CIMMYT, June 2007, 5 pp.Google Scholar
IPCC (2001) Climate change 2001: the scientific basis. 83 pp. in Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J., Dai, X., Maskell, K. & Johnson, C.A. (Eds) The Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK, Cambridge University Press.Google Scholar
IPCC (2007) Climate change 2007: synthesis report. 104 pp. in Core Writing Team, Pachauri, R.K. & Reisinger, A. (Eds) Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland, IPCC.Google Scholar
Jaramillo, J., Chabi-Olaye, A., Kamonjo, C., Jaramillo, A., Vega, F.E., Poehling, H.-M. & Borgemeister, C. (2009) Thermal tolerance of the coffee berry borer Hypothenemus hamperi. Prediction of climate change on a tropical insect pest. PLoS ONE 4(8), e6487.CrossRefGoogle Scholar
Jones, P.G. & Thornton, P.K. (2003) The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environmental Change 1(1), 5159.CrossRefGoogle Scholar
Kearney, M., Porter, W.P., Williams, C., Ritchie, S. & Hoffmann, A.A. (2009) Integrating biophysical models and evolutionary theory to predict climatic impacts on species’ ranges: the dengue mosquito Aedes aegypti in Australia. Functional Ecology 23(3), 528538.CrossRefGoogle Scholar
Kfir, R. (1990) Prospects for cultural control of the stalk borers Chilo partellus (Swinhoe) and Busseola fusca (Fuller) in summer grain crops in South Africa. Journal of Entomological Society of South Africa 53, 4147.Google Scholar
Kfir, R. (1997) Competitive displacement of Busseola fusca (Lepidoptera: Noctuidae) by Chilo partellus (Lepidoptera: Pyralidae). Annals of the Entomological Society of America 90, 620624.Google Scholar
Kfir, R., Overholt, W.A., Khan, Z.R. & Polaszek, A. (2002) Biology and management of economically important lepidopteran cereal stem borers in Africa. Annual Review of Entomology 47, 701713.CrossRefGoogle ScholarPubMed
Khan, T.A. & Saxena, S.K. (1997) Effect of root-dip treatment with fungal filtrates on root penetration, development and reproduction of Meloidogyne javanica on tomato. International Journal of Nematology 7, 8588.Google Scholar
Kingsolver, J.G., Woods, H.A., Buckley, L.B., Potter, K.A., MacLean, H.J. & Higgins, J.K. (2011) Complex life cycles and the responses of insects to climate change. Integrative and Comparative Biology 51(5), 719732.CrossRefGoogle ScholarPubMed
Kiritani, K. (1988) Effects of climate change on the insect fauna (in Japanese). Meteorological Research Report 162, 137141.Google Scholar
Kroschel, J., Sporleder, J., Tonnang, H.E.Z., Juarez, H., Carhuapoma, J.C. & Simon, R. (2013) Predicting climate-change-caused changes in global temperature on potato tuber moth Phthorimaea operculella (Zeller) distribution and abundance using phenology modeling and GIS mapping. Agricultural and Forest Meteorology 170, 228241.Google Scholar
Ladányi, M. & Horváth, L. (2010) A review of the potential climate change impact on insect populations. General and agricultural aspects. Applied Ecology and Environmental Research 8(2), 143152.Google Scholar
Legaspi, J.C. & Legaspi, B.C. Jr. (2007) Bioclimatic model of the spined soldier bug (Heteroptera, Pentatomidae) using CLIMEX: testing model predictions at two spatial scales. Journal of Entomological Science 42, 533547.Google Scholar
Lobell, D.B., Bänziger, M., Magorokosho, C. & Vivek, B. (2011) Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change 1(1), 4245.Google Scholar
Logan, J.A., Wollkind, D.J., Hoyt, S.C. & Tanigoshi, L.K. (1976) An analytic model for description of temperature dependent rate phenomena in arthropods. Environmental Entomology 5(6), 11331140.Google Scholar
Logan, J.A., Regniere, J. & Powell, J.A. (2003) Assessing the impacts of global warming on forest pest dynamics. Frontier in Ecology and the Environment 1, 130137.CrossRefGoogle Scholar
Mbapila, J.C., Overholt, W.A. & Kayumbo, H.Y. (2002) Comparative development and population growth of an exotic stemborer, Chilo partellus (Swinhoe), and an ecologically similar congener, C. orichalcociliellus (Strand) (Lepidoptera: Crambidae). Insect Science Application 22 (1), 2127.Google Scholar
McIntyre, B.D., Herren, H.R., Wakhungu, J. & Watson, R.T. (2009) Agriculture at a Crossroads. International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD): Global Report. Synthesis Report. Washington, DC, Island Press, 606 pp.Google Scholar
Menendez, R. (2007) How are insect responding to global warming? Tijdschrift voor Entomologie 150, 355365.Google Scholar
Muchena, P. & Iglesias, A. (1995) Vulnerability of maize yields to climate change in different farming sectors in Zimbabwe. pp. 229239. in Rosenzweig, C., Allen, L.H., Harper, S.E. and Jones, J.W. (Eds) Climate Change and Agriculture: Analysis of Potential International Impacts. ASA Special Publication, No. 59. Madiso, WI, ASA.Google Scholar
Nietschke, B.S., Borchert, D.M., Magarey, R.D., Calvin, D.D. & Jones, E. (2007) A developmental database to support insect phenology models. Crop Protection 26, 14441448.Google Scholar
Ong'amo, O.G., Le Ru, B.P., Dupas, S., Moyal, P., Calatayud, P.-A. & Silvain, J.F. (2006) Distribution, pest status and agro-climatic preferences of maize in Kenya. Annales de la Société Entomologique de France (n.s) 42, 171177.CrossRefGoogle Scholar
Overholt, W.A., Songa, J.M., Ofomata, V. & Jeske, J. (2000) The spread and ecological consequences of the invasion of Chilo partellus (Swinhoe) (Lepidoptera: Crambidae) in Africa. pp. 5258. in Lyons, E.E. & Miller, S.E. (Eds) Invasive Species in Eastern Africa. Proc. Workshop ICIPE. Nairobi, ICIPE Sci. Press.Google Scholar
Patz, J.A. & Olson, S.H. (2006) Malaria risk and temperature: influences from global climate change and local land use practices. Proceeding of the National Academy of Science USA 103, 56355636.Google Scholar
Peacock, L. & Worner, S. (2006) Using analogous climates and global insect pest distribution data to identify potential sources of new invasive insect pests in New Zealand. New Zealand Journal of Zoology 33, 141145.Google Scholar
Pearson, R.G. & Dawson, T.P. (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography 12, 361371.Google Scholar
Porter, J.H., Parry, M.L. & Carter, T.R. (1991) The potential effects of climatic change on agricultural insect pests. Agricultural and Forest Meteorology 57(1), 221240.Google Scholar
Régnière, J., St-Amant, R. & Duval, P. (2012) Predicting insect distributions under climate change from physiological responses: spruce budworm as an example. Biological Invasions 14(8), 15711586.CrossRefGoogle Scholar
Roltsch, W.J., Mayse, M.A. & Clausen, K. (1990) Temperature-dependent development under constant and fluctuating temperatures: comparison of linear versus nonlinear methods for modeling development of western rapeleaf skeletonizer (Lepidoptera: Zygaenidae). Environmental Entomology 19(6), 16891697.CrossRefGoogle Scholar
Rosenzweig, C., Karoly, D., Vicarelli, M., Neofotis, P., Wu, Q., Casassa, G., Manzel, A., Root, T.L., Estrella, N., Seguin, B., Tryjanowski, P., Rawlins, C.L. & Imeson, A. (2008) Attributing physical and biological impacts to anthropogenic climate change. Nature 453, 353357.Google Scholar
Roy, D.B., Rothery, P., Moss, D., Pollard, E. & Thomas, J.A. (2001) Butterfly numbers and weather: predicting historical trends in abundance and the future effects of climate change. Journal of Animal Ecology 70(2), 201217.Google Scholar
Seshu Reddy, K.V. (1983) Sorghum stem borer in Eastern Africa. Insect Science and its Application 4, 310.Google Scholar
Sharpe, P.J. & DeMichele, D.W. (1977) Reaction kinetics of poikilotherm development. Journal of Theoretical Biology 64(4), 649670.Google Scholar
Sharpe, P.J., Schoolfield, R.M. & Butler, G.D. Jr. (1981) Distribution model of Heliothis zea (Lepidoptera: Noctuidae) development times. Canadian Entomologist 113, 845855.Google Scholar
Singh, S.P. (1991) Biometrical observation on sorghum stem borer Chilo partellus (Swinhoe) under fluctuating and constant temperature conditions. Insect Science and its Application 12(4), 419422.Google Scholar
Sithole, S.Z. (1989) Sorghum stemborers in South Africa. in International Workshop on Sorghum Stem Borers, 17–19 November 1987, ICRISAT Patancheru, A.P., 502 324, India.Google Scholar
Slingo, J.M., Challinor, A.J., Hoskins, B.J. & Wheeler, T.R. (2005) Introduction: food crops in a changing climate. Philosophical Transactions of the Royal Society B: Biological Sciences 360(1463), 19831989.Google Scholar
Sporleder, M., Kroschel, J., Quispe, M.R.G. & Lagnaoui, A. (2004) A temperature-based simulation model for the potato tuberworm, Phthorimaea operculella Zeller (Lepidoptera; Gelechiidae). Environmental Entomology 33(3), 477486.CrossRefGoogle Scholar
Sporleder, M., Simon, R., Juarez, H. & Kroschel, J. (2008) Regional and seasonal forecasting of the potato tuber moth using a temperature-driven phenology model linked with geographic information systems. pp. 1530. in Kroschel, J. & Lacey, L. (Eds) Integrated Pest management for the Potato Tuber Moth, Phthorimaea operculella Zeller – a Potato Pest of Global Importance. Tropical Agriculture 20, Advances in Crop Research 10. Weikersheim, Germany, Margraf Publishers.Google Scholar
Stevens, G.C. (1989) The latitudinal gradient and geographical range: how so many species coexist in the tropics. The American Naturalist 133, 240250.Google Scholar
Stinner, R.E., Gutierrez, A.P. & Butler, G.D. Jr. (1974) An algorithm for temperature-dependent growth rate simulation. Canadian Entomologist 106, 519524.Google Scholar
Stinner, R.E., Butler, G.D., Bacheler, J.S. & Tuttle, C. (1975) Simulation of temperature-dependent development in population dynamics models. Canadian Entomologist 107(11), 11671174.Google Scholar
Sutherst, R.W. & Maywald, G. (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(2), 317335.Google Scholar
Tamiru, A., Getu, E., Jembere, B. & Bruce, T. (2012) Effect of temperature and relative humidity on the development and fecundity of Chilo partellus (Swinhoe) (Lepidoptera: Crambidae). Bulletin of Entomological Research 102(1), 915.Google Scholar
Tams, W.H.T. (1932) New species of African Heterocera. Entomologist 65, 12411249.Google Scholar
Tefera, T., Mugo, S., Beyene, Y., Karaya, H. & Tende, R. (2011) Grain yield, stem borer and disease resistance of new maize hybrids in Kenya. African Journal of Biotechnology 10, 47774783.Google Scholar
Terblanche, J.S., Clusella-Trullas, S., Deer, J.A. & Chown, S.L. (2008) Thermal tolerance in a south-east African population if the tse-tse fly Glossina pallidipes (Diptera, Glossinidae): implications for forecasting climate change impacts. Journal of Insect Physiology 54, 114127.Google Scholar
Tewksbury, J.J., Huey, R.B. & Deutsch, C.A. (2008) Ecology-putting the heat on tropical animals. Science 320(5881), 12961297.Google Scholar
Thomson, L.J., Macfadyen, S. & Hoffmann, A.A. (2010) Predicting the effects of climate change on natural enemies of agricultural pests. Biological Control 52(3), 296306.Google Scholar
Tonnang, E.Z.H., Juarez, H., Carhuapoma, P., Gonzales, J.C., Mendoza, D., Sporleder, M., Simon, R. & Kroschel, J. (2013) ILCYM – Insect Life Cycle Modeling. A software package for developing temperature-based insect phenology models with applications for local, regional and global analysis of insect population and mapping. Lima, Peru, International Potato Center, p. 193.Google Scholar
Trnka, M., Muška, F., Semerádová, D., Dubrovský, M., Kocmánková, E. & Žalud, Z. (2007) European corn borer life stage model: regional estimates of pest development and spatial distribution under present and future climate. Ecological Modelling 207(2), 6184.Google Scholar
Wagner, T.L., Wu, H.I., Sharpe, P.J., Schoolfield, R.M. & Coulson, R.N. (1984) Modeling insect development rates: a literature review and application of a biophysical model. Annals of the Entomological Society of America 77(2), 208225.Google Scholar
Wagner, T.L., Olson, R.L. & Willers, J.L. (1991) Modeling arthropod development time. Journal of Agricultural Entomology 8, 251270.Google Scholar
Zeh, J.A., Bonilla, M.M., Su, E.J., Padua, M.V., Anderson, R.V., Kaur, D., Yangn, D.S. & Zeh, D.W. (2012) Degrees of disruption: projected temperature increase has catastrophic consequences for reproduction in a tropical ectotherm. Global Change Biology 18(6), 18331842.Google Scholar
Zhou, G., Overholt, W.A. & Mochiah, M.B. (2001) Change in the distribution of lepidopteran maize stem borer in Kenya from the 1950s to 1990s. Insect Science and its Application 21, 395402.Google Scholar