Evaluation of Continuous Host-Parasitoid Models

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dc.creatorMwalusepo, Siza
dc.creatorTonnang, Henri E. Z.
dc.creatorMassawe, Estomih S.
dc.date2016-06-26T17:46:04Z
dc.date2016-06-26T17:46:04Z
dc.date2011-03
dc.date.accessioned2018-03-27T08:57:56Z
dc.date.available2018-03-27T08:57:56Z
dc.descriptionIn 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.
dc.identifierMwalusepo, 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.
dc.identifier2006-9731
dc.identifierhttp://hdl.handle.net/20.500.11810/2778
dc.identifier.urihttp://hdl.handle.net/20.500.11810/2778
dc.languageen
dc.publisherAcademic Journals
dc.subjectDiamondback moth
dc.subjectPopulation dynamics
dc.subjectModel parameters estimation
dc.subjectBiological control
dc.subjectParasitoid impact
dc.titleEvaluation of Continuous Host-Parasitoid Models
dc.typeJournal Article, Peer Reviewed

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