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Computer simulation applied to the biological control of the insect Aphis gossypii for the parasitoid Lysiphlebus testaceipes

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  • de Souza, A.A.
  • Martins, S.G.F.
  • Zacarias, M.S.

Abstract

In integrated pest management (IPM), biological control is one of the possible options for the prevention or remediation of an unacceptable pest activity or damage. The success of forecast models in IPM depends, among other factors, on the knowledge of temperature effect over pests and its natural enemies. In this work, we simulated the effects of parasitism of Lysiphlebus testaceipes (Cresson, 1880) (Hymenoptera: Aphidiidae) on Aphis gossypii (Glover, 1877) (Hemiptera: Aphididae), a pest that is associated to crops of great economic importance in several parts of the world. We made use of experimental data relative to the host and its parasitoid at different temperatures. Age structure was incorporated into the dynamics through the Penna model. The results obtained showed that simulation, as a forecast model, can be a useful tool for biological control programs.

Suggested Citation

  • de Souza, A.A. & Martins, S.G.F. & Zacarias, M.S., 2009. "Computer simulation applied to the biological control of the insect Aphis gossypii for the parasitoid Lysiphlebus testaceipes," Ecological Modelling, Elsevier, vol. 220(6), pages 756-763.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:6:p:756-763
    DOI: 10.1016/j.ecolmodel.2008.12.001
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    References listed on IDEAS

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    1. Penna, T.J.P & Racco, A & Sousa, A.O, 2001. "Can microscopic models for age-structured populations contribute to ecology?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(1), pages 31-37.
    2. Sá Martins, J.S. & Racco, A., 2001. "Simulated emergence of cyclic sexual–asexual reproduction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 297(3), pages 485-494.
    3. Stauffer, Dietrich & Proykova, Ana & Lampe, Karl-Heinz, 2007. "Monte Carlo simulation of age-dependent host–parasite relations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 387-391.
    4. Moss de Oliveira, S. & Penna, T.J.P. & Stauffer, D., 1995. "Simulating the vanishing of northern cod fish," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 215(3), pages 298-304.
    5. Bommarco, Riccardo & Firle, Sascha O. & Ekbom, Barbara, 2007. "Outbreak suppression by predators depends on spatial distribution of prey," Ecological Modelling, Elsevier, vol. 201(2), pages 163-170.
    6. Giarola, L.T.P. & Martins, S.G.F. & Toledo Costa, M.C.P., 2006. "Computer simulation of Aphis gossypii insects using Penna aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 147-154.
    7. de Oliveira, A.C.S. & Martins, S.G.F. & Zacarias, M.S., 2008. "Computer simulation of the coffee leaf miner using sexual Penna aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 476-484.
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    2. Keesen, F. & Castro e Silva, A. & Arashiro, E. & Pinheiro, C.F.S., 2017. "Simulations of populations of Sapajus robustus in a fragmented landscape," Ecological Modelling, Elsevier, vol. 344(C), pages 38-47.
    3. dos Santos, R.V.R. & Martins, S.G.F. & Pompeu, P.S., 2012. "An individual-based model for evolutionary effects of selective fishing applied to Pseudoplatystoma corruscans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5112-5120.
    4. da Rocha, Arthur M. & Espíndola, Aquino L. & Penna, T.J.P., 2020. "Mortality curves using a bit-string aging model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

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