| Titre : | Monte Carlo analysis of parameter uncertainty in matrix models for the weed Cirsium vulgare |
| Auteurs : | Brigitte Tenhumberg, Auteur ; Svata M. Louda, Auteur ; James O. Eckberg, Auteur ; Masaru Takahashi, Auteur |
| Type de document : | Article |
| Dans : | Journal of Applied Ecology (45(2) APR 2008) |
| Article en page(s) : | 438-447 |
| Langues: | Anglais |
| Résumé : | 1. Parameter uncertainty challenges the use of matrix models because it violates key assumptions underlying elasticity analyses. We have developed a matrix model to compare Monte Carlo methods with elasticity analyses for estimation of the relative importance of factors in the asymptotic population growth rate, lambda, of Cirsium vulgare (spear thistle) in Nebraska, USA. 2. We calculated lambda for a base model using 11 parameter estimates available for Nebraska populations plus eight extracted from the literature, causing parameter uncertainty. We then calculated lambda for |



