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Dendrogram of phylogenetic congruence for the host species (below) and associated parasitoid species (above) recorded in the study. Each rectangle represents a different superfamily (for host species) or family (for parasitoid species). H1: Pompilidae H2: Apoidea H3: Vespidae; P1: Sarcophagidae P2: Phoridae P3: Bombyliidae P4: Trigonalyidae P5: Mutillidae P6: Megachilidae P7: Chrysididae P8: Ichneumonidae P9: Chalcidoidea. The trophic network of hosts and parasitoids was nonrandomly structured (parafit test: P = 0.032). Host and parasitoid species names are given in Fig. S3.
Source publication
Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant diversity, tree identity, genetic diversity, overall community composition of higher trophi...
Contexts in source publication
Context 1
... effect of host composition on the composition of the parasitoid communities was further indicated by a significant parafit test (p = 0.032), suggesting nonrandom associations in the phylogenetic structure of parasitoid and host communities (Fig. 2 , Fig. ...
Context 2
... related to tree species richness, while remaining unaffected by other environmental covariables (Table 2 , Fig. 3 ; except for elevation, which was marginally significantly related to robustness). Interaction evenness was significantly negatively associated with canopy cover, and interaction evenness was also negatively related to eastness ( Fig. 4c ; Table 2 ).. Generality was only marginally associated with canopy cover, and was not related to tree species richness or the other environmental factors. In the alternative models (tree species richness replaced by tree MPD), vulnerability and linkage density were significantly positively related to tree MPD ( Fig. 4a , 4b ; Table S6), while ...
Context 3
... MPD, we also ran alternative models where tree species richness was replaced with tree MPD. We simplified all models by gradually removing nonsignificant factors to obtain the most parsimonious model with the lowest AICc. To ensure that the analyses were not strongly affected by multicollinearity, the correlations among all predictors were tested (Fig. S2), and variance inflation factors (VIF) of our statistical models were ...
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