34 research outputs found
data_Vosteen et al. 2016_Journal of Animal Ecology
data_Vosteen et al. 2016_Journal of Animal Ecolog
Vosteen et al. 2016_R Skript_Fig. 4a relative attractivity
Fig. 4a β honeydew quality: Honeydew collected from 6 different pea aphid clone β host plant combinations was applied to Vicia faba. Plants were left for 30 h in the field and hoverfly eggs were counted afterwards. A randomized block design was used in this experiments. Each block consisted of all six treatments. Number of hoverfly eggs was analyzed with genaralized linear mixed effect model with poisson distribution
Vosteen et al. 2016_R Skript_Fig. 6 less suitable plant 2014_Aug
Fig. 2 β less suitable plants II: Trifolium and Pisum race aphids were placed both on Trifolium pratense and Pisum sativum, so that each race was reared on its native host and a less suitable plant. Plants were left for 6 days in the field and number of hoverfly eggs, hoverfly larvae and surviving aphids was recorded two times. A randomized block design was used in this experiments. Each block consisted of all four treatments. Survival of aphid colonies was analyzed with a generalized linear mixed effect model with a binomial distribution. Presence of hoverflz eggs and hoverflz larvae was analyzed with a generalized linear mixed effect model with poisson error distribution
Vosteen et al. 2016_R Data_Fig. 4b honeydew quantity
file used for statistical analysis in
Vosteen et al. 2016_R Skript_Fig. 5 less suitable plant 2014
Fig. 5 β less suitable plants I: Trifolium and Pisum race aphids were placed both on Trifolium pratense and Pisum sativum, so that each race was reared on its native host and a less suitable plant. Plants were left for 14 days in the field and number of hoverfly eggs, hoverfly larvae and surviving aphids was recorded several times. A randomized block design was used in this experiments. Each block consisted of all four treatments. Data was analyzed with mixed effects models using blocks as random effects (random intercept) and treatments as fixed effects. P-values for explanatory variables were obtained by sequentially deleting explanatory variables and comparison of the more complex model with the simpler model with a likelihood ratio test (Zuur et al. 2009). Factor level reductions were used to reveal differences between levels of a treatment (Crawley 2013). Number of hoverfly eggs and larvae were analyzed with generalized linear mixed models with either a Poisson error distribution, or a negative binomial error distribution (glmm with the lmer function of the lme4 package (Bates et al. 2014) whichever fitted best the data of a certain experiment. In cases were only a few hoverfly eggs or larvae were present and several plants without hoverfly eggs or larvae occurred, presence / absence data were used and analyzed with Bernoulli glmms
Vosteen et al. 2016_R Skript_Fig. 2 quantitative honeydew collection
Fig. 2 β honeydew collection: Dry weight of honeydew collected from different pea aphid clone β host plant combinations during 24 h. Plants were infested with 50 adult pea aphids. Honeydew amount was analyzed with a one-way-ANOVA. In cases of non-homogenous variances, data were log-transformed. The Tukey Honest Significant Difference method was used for post-hoc comparison
Vosteen et al. 2016_R Data_Fig. 5 less suitable plant 2014
file used for statistical analysis in
Vosteen et al. 2016_R Data_Fig. 2e quantitative honeydew collection
file used for statistical analysis in
Vosteen et al. 2016_R Data_Fig. 4a honeydew quality
file used for statistical analysis in
Vosteen et al. 2016_R Skript_Fig. 4b honeydew quantity
Fig. 4b β honeydew quantity: Six, 12 or 18 droplets of this honeydew collected from Pisum race aphids feeding on Vicia faba were applied to uninfested Vicia faba. Plants were left for 30 h in the field and hoverfly eggs were counted afterwards. A randomized block design was used in this experiments. Each block consisted of all three treatments. Number of hoverfly eggs was analyzed with a generalized linear mixed effect model