Fear of predation alters clone-specific performance in phloem-feeding prey

Global Dynamics of a Predator–Prey Model with Fear Effect and Impulsive State Feedback Control

In this paper, a predator–prey model with fear effect and impulsive state control is proposed and analyzed. By constructing an appropriate Poincaré map, the dynamic properties of the system, including the existence, nonexistence, and stability of periodic solutions are studied. More specifically, based on the biological meaning, the pulse and the phase set are firstly defined in different regions as well as the corresponding Poincaré map. Subsequently, the properties of the Poincaré map are analyzed, and the existence of a periodic solution for the system is investigated according to the properties of the Poincaré map. We found that the existence of the periodic solution for the system completely depends on the property of the Poincaré map. Finally, several examples containing numerical simulations verify the obtained theoretical result.

Disturbance and competition drive diversity effects in cabbage-aphid-onion systems with intra-specific genetic variation

Decreased reliance on pesticides can be achieved through a clever use of eco-evolutionary knowledge via intercropping economically valuable crops with companion plants that can hamper pest outbreaks. We created a greenhouse multi-layered microcosm system to test two potato peach aphid clones, performing alone or in competition, on mixes of genetically variable cultivars of cabbage, with and without onion. The onion acted as a nuisance/disturbance for the pest, which was generally for the benefit of the cabbage albeit both plants sharing space and nutrients. The onion effect was context-specific and differed by aphid genotype. Onion variable nuisance negatively affected the numbers of one aphid genotype (green) across all contexts, while the other genotype (pink) numbers were decreased in two contexts only. However, the green performed better than the pink on all cases of cabbage di-mixes despite its numbers being capped when the onion was present. Further, there was also a general aphid propensity to wander off the plant along with a differential production of winged morphs to escape the onion-affected environments. Moreover, through a comparative increase in dry mass, which was subject to onion and aphid effects, a diversity effect was found where the cabbages of fully genetically variable microcosms sustained similar final dry mass compared with non-infested microcosms. Our findings provide fresh insights into the use of multi-layered contextual designs that not only allow disentangling the relative effects of genetic variation and modes of interaction, but also help integrate their benefits into pest management in view of companion planting.

Indirect ecological effects interact with community genetic effects in a host-parasite system and dramatically reduce parasite burden

Community genetic (CG) effects and ecological factors create a complex set of interactions that are key drivers of evolutionary dynamics in ecological systems. To date, most studies investigating trait variation have focused on either effects of intraspecific genetic variation or on genotype by environment (GxE) interactions in isolation. Poorly investigated but very important are the interactions between CGs and indirect ecological effects (IEEs) that are caused by plant-soil interactions. Here, we tested how CGs in a cabbage host and its aphid parasite depended on the ecological conditions under which the host was grown. We established microcosms of different cabbage cultivars and aphid genotypes on soils inoculated with samples of other soils previously trained with onion. We hypothesized that such IEEs will have significantly different outcomes for ecosystems than predicted from simpler CG or GxE studies. Our analysis demonstrated a large IEE that differed by context and aphid genotype causing reduced parasite population sizes by up to 90%. The IEE is induced by insect-repellent properties and the microbiome of the onion. Our results highlight the importance of interacting IEEs and CGs for ecosystems dynamics showing that IEEs offer sustainable solutions by dramatically reducing parasite burden on cash crops.