Evaluation of Continuous Host-Parasitoid Models

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dc.contributor.authorMwalusepo, Siza
dc.contributor.authorTonnang, Henri E. Z.
dc.contributor.authorMassawe, Estomih S.
dc.date.accessioned2016-06-26T17:46:04Z
dc.date.available2016-06-26T17:46:04Z
dc.date.issued2011-03
dc.description.abstractIn this paper the performance of continuous host-parasitoid models were investigated. The parameter values for several well-known models: Lotka-volterra, Holling Tanner Type 2, Holling Tanner Type 3, Leslie, Bazykin, Beddington-DeAngelis, Yodzis and Rosenzwing-Macarthur models were estimated. The models were tested on 40 consecutive sets of time series data collected at 14 days interval for pest and parasitoid population obtained from a highland cabbage growing area in Eastern Kenya. Model parameters were estimated from the minimization of the loss functions between the theoretical and experimental time series datasets following the Nelder-Mead multidimensional method. Initial values of population size and parameters were randomly chosen. Durbin-Watson statistic was applied for comparison of model outputs and experimental population trajectories. Among the eight different hostparasitoid models, Holling Tanner model Type 3 presented relatively better approximations compared to the other models.en_US
dc.identifier.citationMwalusepo, S., Tonnang, H.E. and Massawe, E.S., 2011. Evaluation of continuous host-parasitoid models. African Journal of Mathematics and Computer Science Research, 4(2), pp.39-54.en_US
dc.identifier.issn2006-9731
dc.identifier.urihttp://hdl.handle.net/20.500.11810/2778
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.subjectDiamondback mothen_US
dc.subjectPopulation dynamicsen_US
dc.subjectModel parameters estimationen_US
dc.subjectBiological controlen_US
dc.subjectParasitoid impacten_US
dc.titleEvaluation of Continuous Host-Parasitoid Modelsen_US
dc.typeJournal Article, Peer Revieweden_US
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