Abstract

Summary The spatial arrangement of suitable host plants in the field may significantly constrain insects to find optimal hosts. Plant neighbours around a focal host plant can either lead to lower (associational resistance) or higher (associational susceptibility) herbivore loads. We tested whether the spatial arrangement of hosts of different suitability for the larval development of the shoot-base boring weevil Apion onopordi affects oviposition decisions in the field. Host plants in our study were healthy creeping thistles (Cirsium arvense; suboptimal hosts) and thistles infected by a rust pathogen (Puccinia punctiformis; optimal hosts). For analysis, we used nearest neighbour methods that disentangle the spatial distribution of organisms that are dependent on the position of other species (e.g. phytophagous insects and their host plants). Although theory predicts that the small-scale spatial infestation pattern can have major consequences for the population dynamics in insect–plant systems, field studies quantifying spatial pattern of phytophagous insects are rare. The spatial arrangement of host plants clearly influenced oviposition pattern in A. onopordi. In contrast to previous studies, we demonstrated that not the rust infection itself determined if a plant was infested by weevils, but rather the density of rusted shoots within a certain neighbourhood. We found strong indications for associational susceptibility of healthy thistle shoots to weevil oviposition when growing in the neighbourhood of rusted thistles. Weevil-infested plants were spatially aggregated, indicating that A. onopordi is limited in its dispersal ability within patches. Other stem-boring insects on creeping thistle were affected in their oviposition decisions by other factors than A. onopordi. Thus, it may be difficult to find general rules for oviposition choice in phytophagous insects. Our study showed that the spatial arrangement of host plants in the field critically determines oviposition choice and should thus be included as constraint in theories of optimal host selection.

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