Jagiellonian University

Jagiellonian Univeristy Repository
Not a member yet
    200871 research outputs found

    Landscape complexity and agricultural pressure at the habitat-level scale determine impact of insecticide use on future generation of non-target arthropods (ground beetle Poecilus cupreus)

    No full text
    Agricultural intensification, particularly pesticide use, has reduced beneficial organisms and their functional diversity in agroecosystems. We studied the effects of pulsed exposure to two common insecticides, Mospilan 20 SP (neonicotinoid - active ingredient (a.i.) acetamiprid) and Sherpa 100 EC (pyrethroid - a.i. cypermethrin), on the non-target ground beetle Poecilus cupreus (Coleoptera: Carabidae) in a large-scale landscape context. Laboratory bred beetles (F2) from two agricultural landscapes of varying complexity (low vs. high) and two habitat types with differing pesticide pressure (crops vs. meadows) were tested. We hypothesized that beetles from high agricultural pressure habitats would exhibit reduced susceptibility to insecticides due to adaptations from repeated exposures, with stronger effects in low-complexity landscapes. Insecticide response depended on landscape complexity and habitat type. Beetles from high-pressure habitats showed reduced sensitivity in low-complexity landscapes. Mortality was higher in low-pressure habitats within low-complexity landscapes. Sherpa exposure caused sublethal effects on acetylcholinesterase (AChE) activity, influenced by prior insecticide exposure. Control beetles from high-pressure habitats exhibited higher initial AChE activity than those from low-pressure habitats. Sherpa exposure increased AChE activity in beetles from low-pressure habitats but decreased it in those from high-pressure habitats. Our findings emphasize that insecticide effects are context-dependent, influenced by landscape complexity, habitat type, and prior exposure. They underscore the importance of considering long-term, multi-generational perspectives in ecotoxicological studies and augmentative pest management

    Avian extra‐pair paternity in the last European primeval forest

    No full text
    1. Primeval forests offer a reference baseline to understand the origins and evolution of mating systems, as their relatively undisturbed environment provides a glimpse into how ecological interactions and natural selection play out in their original context. 2. We established rates of extra-pair paternity (EPP) for two bird species referential to evolutionary ecology: blue tits and great tits, breeding in natural cavities in Białowieża National Park, the sole remnant of European lowland primeval forests. 3. Genotype-by-sequencing of 889 blue tits and 1256 great tits revealed that 48% of blue tit broods and 39% great tit broods were of mixed paternity, with 15% blue tit and 14% great tit nestlings not sired by their social father. These referential levels align with median values of EPP reported in nestbox studies in secondary and managed forests, suggesting that certain reproductive strategies are advantageous across environments. Observed EPP levels did not affect reproductive success or parental investment, indicating no or limited adaptive value for EPP in the context of a primeval forest ecosystem. 4. Our study challenges the assumption that EPP is maintained by direct or indirect fitness benefits. Rather than indicating recent adaptive responses, the observed patterns may be consistent with long-standing and resilient mating strategies that have persisted under increasing global ecological pressures

    Recurrence quantification analysis for group eye tracking data

    No full text
    Traditional eye tracking methodologies have largely focused on single-user data. The study of multi-user dynamics and social interaction requires a novel analysis framework, partially addressed in current research. In this study, we introduce Group Eye Tracking (GET) as a framework for simultaneously collecting and analyzing eye movement data from multiple participants to reveal group-level patterns of visual dynamics. We use a custom application, which synchronously records eye movements from multiple users performing tasks on separate computers, and a custom R package implementing Recurrence Quantification Analysis (RQA) for examining time-series recurrences of visual dynamics. By quantifying how eye movement patterns recur and align among group members, we potentially provide indicators of cognitive states in collaborative decision-making, within real-time group interactions. The resulting measures can also provide information about the role of task parameters, interface layouts, and team performance. This approach demonstrates how GET can serve for developing next-generation augmented cognition systems by integrating advanced analytics and real-time adaptivity by the analysis of collective task outcomes

    48,272

    full texts

    200,871

    metadata records
    Updated in last 30 days.
    Jagiellonian Univeristy Repository
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇