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 |
|