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Evaluation of Continuous Host-Parasitoid Models

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dc.creator Mwalusepo, Siza
dc.creator Tonnang, Henri E. Z.
dc.creator Massawe, Estomih S.
dc.date 2016-06-26T17:46:04Z
dc.date 2016-06-26T17:46:04Z
dc.date 2011-03
dc.date.accessioned 2018-03-27T08:57:56Z
dc.date.available 2018-03-27T08:57:56Z
dc.identifier Mwalusepo, 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.identifier 2006-9731
dc.identifier http://hdl.handle.net/20.500.11810/2778
dc.identifier.uri http://hdl.handle.net/20.500.11810/2778
dc.description In 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.language en
dc.publisher Academic Journals
dc.subject Diamondback moth
dc.subject Population dynamics
dc.subject Model parameters estimation
dc.subject Biological control
dc.subject Parasitoid impact
dc.title Evaluation of Continuous Host-Parasitoid Models
dc.type Journal Article, Peer Reviewed


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