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Where and when? How phenological patterns of armyworm moths (Lepidoptera: Noctuidae) change along a latitudinal gradient in Brazil

Published online by Cambridge University Press:  20 November 2018

M. Piovesan Open the ORCID record for M. Piovesan [Opens in a new window] ,
E. Carneiro Open the ORCID record for E. Carneiro [Opens in a new window] ,
A. Specht Open the ORCID record for A. Specht [Opens in a new window]  and
M.M. Casagrande Open the ORCID record for M.M. Casagrande [Opens in a new window]
M. Piovesan
Affiliation:
Laboratório de Estudos de Lepidoptera Neotropical, Departamento de Zoologia, Setor de Ciências Biológicas, Universidade Federal do Paraná, Caixa Postal 19020, 81.531-980, Curitiba, Paraná, Brasil
E. Carneiro
Affiliation:
Laboratório de Estudos de Lepidoptera Neotropical, Departamento de Zoologia, Setor de Ciências Biológicas, Universidade Federal do Paraná, Caixa Postal 19020, 81.531-980, Curitiba, Paraná, Brasil
A. Specht*
Affiliation:
Embrapa Cerrados, Caixa Postal 08223, 73.310-970 Planaltina, Distrito Federal, Brasil
M.M. Casagrande
Affiliation:
Laboratório de Estudos de Lepidoptera Neotropical, Departamento de Zoologia, Setor de Ciências Biológicas, Universidade Federal do Paraná, Caixa Postal 19020, 81.531-980, Curitiba, Paraná, Brasil
*
*Author for correspondence Phone: (+61) 3388-9859 Fax: (+61) 3388-9885 E-mail: [email protected]
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Abstract

The phenological patterns exhibited by different organisms are known as adaptive responses to the cyclical environmental conditions. However, only a limited number of researches explore which factors are responsible for these phenological patterns in pest species. In the current study, abundance patterns were studied in the phenology of three Spodoptera Guenée, 1852 species, along the 29° latitudinal gradient in South America. The goal was to test whether widely distributed and abundant crop pest species would exhibit different phenological responses to seasonal meteorological variables and host plant availability. To test this, 13 light traps were set up in Brazil to collect adult Spodoptera samples at the time of the new moon, every month, from June 2015 to May 2016. The time of occurrence and intensity of the phenology were determined for each species, employing circular statistics. Both metrics revealed significant variations among the different species, as well as the factors associated with them. Latitude was found to affect the period of occurrence in Spodoptera cosmioides (Walker, 1858) and Spodoptera albula (Walker, 1857), whereas in Spodoptera frugiperda (J. E. Smith, 1797) its effect was evident only in the intensity of its phenology. Further, both meteorological variables and host plant availability in the sampling sites produced predictive models to account for the phenological patterns expressed. These findings suggest that different species of Spodoptera exhibit different adaptive strategies in their life cycles in response to environmental conditions, thus necessitating specific management practices regarding their seasonal population fluctuation.

Keywords

period of occurrenceintensity of phenologyabiotic factorshost plant availabilitySpodoptera
Type
Research Papers
Information
Bulletin of Entomological Research , Volume 109 , Issue 4 , August 2019 , pp. 490 - 499
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Copyright
Copyright © Cambridge University Press 2018 

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References

Agostinelli, C. (2012) CircStats: Circular Statistics, from “Topics in circular Statistics” (2001) R package version 0.2-4.Google Scholar
Almeida, L.P., Specht, A. & Teston, J.A. (2014) Fauna of Noctuidae (Lepidoptera: Noctuoidea) in a pasture area in Altamira, Eastern Amazon, Pará, Brazil. Brazilian Journal of Biology 74, 983–990.Google Scholar
Altermatt, F. (2010) Tell me what you eat and I'll tell you when you fly: diet can predict phenological changes in response to climate change. Ecology Letters 13, 1475–1484.Google Scholar
Bavaresco, A., Garcia, M.S., Grützmacher, A.D., Ringenberg, R. & Foresti, J. (2004) Adequação de uma dieta artificial para a criação de Spodoptera cosmioides (Walk.) (Lepidoptera: Noctuidae) em laboratório. Neotropical Entomology 33, 155–161.Google Scholar
Bergin, T.M. (1991) A comparison of goodness-of-fit tests for analysis of nest orientation in western kingbirds (Tyrannus verticalis). The Condor 93, 164–171.Google Scholar
Bolker, B. (2017) bbmle: Tools for General Maximum Likelihood Estimation. R package version 1.0.20.Google Scholar
Brito, M.M., Ribeiro, D.B., Raniero, M., Hasui, E., Ramos, F.N. & Arab, A. (2014) Functional composition and phenology of fruit-feeding butterflies in a fragmented landscape: variation of seasonality between habitat specialists. Journal of Insect Conservation 18, 547–560.Google Scholar
Burnham, K.P. & Anderson, D.R. (2004) Multimodel inference understanding AIC and BIC in model selection. Sociological Methods & Research 33, 261–304.Google Scholar
Burnham, K.P., Anderson, D.R. & Huyvaert, K.P. (2011) AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behavioral Ecology and Sociobiology 65, 23–35.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, 117–162.Google Scholar
Cocu, N., Harrington, R., Rounsevell, M.D.A., Worner, S.P. & Hulle, M. (2005) Geographical location, climate and land use influences on the phenology and numbers of the aphid, Myzus persicae, in Europe. Journal of Biogeography 32, 615–632.Google Scholar
Day, K. (1984) Phenology, polymorphism and insect-plant relationships of the larch budmoth, Zeiraphera diniana (Guenée) (Lepidoptera: Tortricidae), on alternative conifer hosts in Britain. Bulletin of Entomological Research 74, 47–64.Google Scholar
De Frenne, P., Graae, B.J., Rodríguez-Sánchez, F., Kolb, A., Chabrerie, O., Decocq, G., De Kort, H., De Schrijver, A., Diekmann, M., Eriksson, O., Gruwez, R., Hermy, M., Lenoir, J., Plue, J., Coomes, D.A., Verheyen, K. & Giliam, F. (2013) Latitudinal gradients as natural laboratories to infer species’ responses to temperature. Journal of Ecology 101, 784–795.Google Scholar
Dennis, B., Kemp, W.P. & Beckwith, R.C. (1986) Stochastic model of insect phenology: estimation and testing. Environmental Entomology 15, 540–546.Google Scholar
Doherty, J.-F., Guay, J.-F. & Cloutier, C. (2017) Temperature-manipulated dynamics and phenology of Mindarus abietinus (Hemiptera: Aphididae) in commercial Christmas tree plantations in Québec, Canada. The Canadian Entomologist 149, 801–812.Google Scholar
Donatelli, M., Magarey, R.D., Bregaglio, S., Willocquet, L., Whish, J.P.M. & Savary, S. (2017) Modelling the impacts of pests and diseases on agricultural systems. Agricultural Systems 155, 213–224.Google Scholar
Eizaguirre, M., López, C. & Sans, A. (2002) Maize phenology influences field diapause induction of Sesamia nonagrioides (Lepidoptera: Noctuidae). Bulletin of Entomological Research 92, 439–443.Google Scholar
Fielding, C.A., Whittaker, J.B., Butterfield, J.E.L. & Coulson, J.C. (1999) Predicting responses to climate change: the effect of altitude and latitude on the phenology of the Spittlebug Neophilaenus lineatus. Functional Ecology 13, 65–73.Google Scholar
Frost, S.W. (1957) The Pennsylvania insect light trap. Journal of Economic Entomology 50, 287–292.Google Scholar
Garibaldi, L.A., Kitzberger, T. & Ruggiero, A. (2011) Latitudinal decrease in folivory within Nothofagus pumilio forests: dual effect of climate on insect density and leaf traits?: Latitudinal gradient in herbivory. Global Ecology and Biogeography 20, 609–619.Google Scholar
Google Inc. (2017) Google Earth. Available online at: https://earth.google.com/web (accessed 12 September 2016).Google Scholar
Gordo, O., Sanz, J.J. & Lobo, J.M. (2010) Determining the environmental factors underlying the spatial variability of insect appearance phenology for the honey bee, Apis mellifera, and the small white, Pieris rapae. Journal of Insect Science 10, 1–21.Google Scholar
Hight, S.D. & Carpenter, J.E. (2009) Flight phenology of male Cactoblastis cactorum (Lepidoptera: Pyralidae) at different latitudes in the Southeastern United States. Florida Entomologist 92, 208–216.Google Scholar
Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 1965–1978.10.1002/joc.1276Google Scholar
IBGE (2004) Mapa de Biomas e de Vegetação [Online]. In: Instituto Brasileiro de Geografia e Estatística. Available online at: http://www.ibge.gov.br/home/presidencia/noticias/21052004biomashtml.shtm (accessed 8 January 2017).Google Scholar
Jang, E.B., Siderhurst, M.S., Conant, P. & Siderhurst, L.A. (2009) Phenology and population radiation of the nettle caterpillar, Darna pallivitta (Moore) (Lepidoptera: Limacodidae) in Hawaii. Chemoecology 19, 7–12.Google Scholar
Kergoat, G.J., Prowell, D.P., Le Ru, B.P., Mitchell, A., Dumas, P., Clamens, A.-L., Condamine, F.L. & Silvain, J-F. (2012) Disentangling dispersal, vicariance and adaptive radiation patterns: a case study using armyworms in the pest genus Spodoptera (Lepidoptera: Noctuidae). Molecular Phylogenetics and Evolution 65, 855–870.Google Scholar
Kishimoto-Yamada, K. & Itioka, T. (2015) How much have we learned about seasonality in tropical insect abundance since Wolda (1988)? Entomological Science 18, 407–419.Google Scholar
Kovach, W.L. (2011) Oriana – Circular Statistics for Windows, Ver. 4. Wales, UK, Kovach Computing Services. Available online at https://www.kovcomp.co.uk/oriana/.Google Scholar
Montezano, D.G., Specht, A., Sosa-Gómez, D.R., Roque-Specht, V.F. & Barros, N.M. (2013) Biotic potential and reproductive parameters of Spodoptera eridania (Stoll) (Lepidoptera, Noctuidae) in the laboratory. Revista Brasileira de Entomologia 57, 340–345.Google Scholar
Montezano, D.G., Specht, A., Sosa-Gomez, D.R., Roque-Specht, V.F., Bortolin, T.M., Fronza, E., Pezzi, P., Luz, P.C. & Barros, N.M. (2014) Biotic potential, fertility and life table of Spodoptera albula (Walker) (Lepidoptera: Noctuidae), under controlled conditions. Anais da Academia Brasileira de Ciências 86, 723–732.Google Scholar
Morellato, L.P.C., Talora, D.C., Takahasi, A., Bencke, C.C., Romera, E.C. & Zipparro, V.B. (2000) Phenology of Atlantic rain forest trees: a comparative study. Biotropica 32, 811–823.Google Scholar
Murúa, G., Molina-Ochoa, J. & Coviella, C. (2006) Population dynamics of the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae) and its parasitoids in northwestern Argentina. Florida Entomologist 89, 175–182.Google Scholar
Nagoshi, R.N. & Meagher, R.L. (2004) Seasonal distribution of fall armyworm (Lepidoptera: Noctuidae) host strains in agricultural and turf grass habitats. Environmental Entomology 33, 881–889.Google Scholar
Nagoshi, R.N., Meagher, R.L. & Hay-Roe, M. (2012) Inferring the annual migration patterns of fall armyworm (Lepidoptera: Noctuidae) in the United States from mitochondrial haplotypes. Ecology and Evolution 2, 1458–1467.Google Scholar
Nagoshi, R.N., Fleischer, S., Meagher, R.L., Hay-Roe, M., Khan, A., Murúa, M.G., Silvie, P., Vergara, C. & Westbrook, J. (2017) Fall armyworm migration across the Lesser Antilles and the potential for genetic exchanges between North and South American populations. PLoS ONE 12, e0171743.Google Scholar
O'Donnell, M.S. & Ignizio, D.A. (2012). Bioclimatic predictors for supporting ecological applications in the conterminous United States. US Geological Survey Data Series 691, 1–10.Google Scholar
Oerke, E.C. (2006) Crop losses to pests. The Journal of Agricultural Science 144, 31–43.Google Scholar
Ortega-López, V., Amo-Salas, M., Ortiz-Barredo, A. & Díez-Navajas, A.M. (2014) Male flight phenology of the European grapevine moth Lobesia botrana (Lepidoptera: Tortricidae) in different wine-growing regions in Spain. Bulletin of Entomological Research 104, 566–575.Google Scholar
Pashley, D.P., Johnson, S.J. & Sparks, A.N. (1985) Genetic population structure of migratory moths: the fall armyworm (Lepidoptera: Noctuidae). Annals of the Entomological Society of America 78, 756–762.Google Scholar
Peñuelas, J., Rutishauser, T. & Filella, I. (2009) Phenology feedbacks on climate change. Science 324, 887–888.Google Scholar
Piovesan, M., Specht, A., Carneiro, E., Paula-Moraes, S.V. & Casagrande, M.M. (2017) Phenological patterns of Spodoptera guenée, 1852 (Lepidoptera: Noctuidae) is more affected by ENSO than seasonal factors and host plant availability in a Brazilian Savanna. International Journal of Biometeorology 62, 413–422.Google Scholar
Pogue, M. (2002) World revision of the genus Spodoptera guenée. Memoirs of the American Entomological Society 43, 1–202.Google Scholar
Pogue, M.G. & Passoa, S. (2000) Spodoptera ochrea (Lepidoptera: Noctuidae): a new host record (Asparagus) from Peru and description of the female genitalia. Annals of the Entomological Society of America 93, 1019–1021.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, 221–240.Google Scholar
R Core Team (2015) R: A Language and Environment for Statistical Computing. Vienna, Austria, R Foundation for Statistical Computing. Available online at: https://www.R-project.org/.Google Scholar
Régnière, J. & Sharov, A. (1998) Phenology of Lymantria dispar (Lepidoptera: Lymantriidae), male flight and the effect of moth dispersal in heterogeneous landscapes. International Journal of Biometeorology 41, 161–168.Google Scholar
Ribeiro, D.B., Prado, P.I., Brown, K.S. Jr & Freitas, A.V. (2010) Temporal diversity patterns and phenology in fruit-feeding butterflies in the Atlantic forest. Biotropica 42, 710–716.Google Scholar
Specht, A. & Roque-Specht, V.F. (2016) Immature stages of Spodoptera cosmioides (Lepidoptera: Noctuidae): developmental parameters and host plants. Zoologia (Curitiba) 33, 1–10.Google Scholar
Thiéry, D., Monceau, K. & Moreau, J. (2014) Different emergence phenology of European grapevine moth (Lobesia botrana Lepidoptera: Tortricidae) on six varieties of grapes. Bulletin of Entomological Research 104, 277–287.Google Scholar
Ting, S., Hartley, S. & Burns, K.C. (2008) Global patterns in fruiting seasons. Global Ecology and Biogeography 17, 648–657.Google Scholar
Wolda, H. (1988) Insect seasonality: why? Annual Review of Ecology and Systematics 19, 1–18.Google Scholar
Yela, J.L. & Holyoak, M. (1997) Effects of moonlight and meteorological factors on light and bait trap catches of noctuid moths (Lepidoptera: Noctuidae). Environmental Entomology 26, 1283–1290.Google Scholar
Zar, J.H. (2010) Circular distributions: hypothesis testing pp. 624–665 in Zar, J.H. (Ed.) Biostatistical Analysis. 5th edn. Upper Saddle River, New Jersey, Pearson Prentice Hall.Google Scholar
Zenker, M.M., Botton, M., Teston, J.A. & Specht, A. (2010) Noctuidae moths occurring in grape orchards in Serra Gaúcha, Brazil and their relation to fruit-piercing. Revista Brasileira de Entomologia 54, 288–297.Google Scholar
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