2009
DOI: 10.1016/j.biocontrol.2009.05.017
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Review of approaches to evaluate the effectiveness of weed biological control agents

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Cited by 132 publications
(83 citation statements)
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“…Interestingly, the leaf beetle Ophraella was also associated with lower seed densities produced (Table S10), which might be explained by lower A. artemisiifolia densities resulting from seedling mortality (Lommen et al, personal observations). This is promising from the perspective of biological control, but assessing the potential impact of this biological control agent requires data on the impact at the population level (Hahn et al 2012;Morin et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, the leaf beetle Ophraella was also associated with lower seed densities produced (Table S10), which might be explained by lower A. artemisiifolia densities resulting from seedling mortality (Lommen et al, personal observations). This is promising from the perspective of biological control, but assessing the potential impact of this biological control agent requires data on the impact at the population level (Hahn et al 2012;Morin et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…There are different approach options for the evaluation of the impact of a biocontrol agent (Blossey & Skinner 2000;Morin et al 2009). These approaches can involve manipulative experiments (in the laboratory, glasshouse and field) (Liu et al 2002), demographic modelling (Buckley et al 2004), and pre and post evaluation studies (van Klinken & Raghu 2006).…”
Section: Different Methods Of Evaluating the Impact Or Causality Of Bmentioning
confidence: 99%
“…We assessed the effect of treatment on log-transformed dry weight, number of seeds and total raceme length by linear mixed effect models using log-transformed initial volume of the seedling (calculated as volume=height×π×(0.25×width) 2 ) as a covariate and tray as a random effect. For each response variable we created a set of models including all relevant combinations of treatment, seedling volume and their interaction, or no factor (the null-model) as fixed effects, and fitted them with Maximum Likelihood to allow model comparison.…”
Section: Statisticsmentioning
confidence: 99%