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29 results for “insect dispersal”
Data from: The pollen dispersal kernel and mating system of an insect-pollinated tropical palm, Oenocarpus bataua
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Data from: Resource dispersion influences dispersal evolution of highly insulated insect communities
Communities in which species are obligately associated with a single host plant are ideal to test adaptive responses of community traits to selection since such communities are often highly insulated. Fig species provide oviposition resources to co-evolved fig-wasp communities. Dispersing fig-wasp communities move from one host plant to another for oviposition. We compared the spatial dispersion of two fig species and the dispersal capacities of their multitrophic wasp communities. Dispersal capacities were assessed by measuring vital dispersal correlates, namely tethered flight durations, somatic lipid contents and resting metabolic rates. We suggest that dispersal-trait distributions of congeneric wasp species across the communities are an adaptive response to host plant dispersion. Larger dispersal capacities of the entire multitrophic community are related to more widely dispersed resources. Our results provide evidence and a novel perspective for understanding the potential role of adaptation in whole-community dispersal-trait distributions.
Data from: Elevated temperatures translate into reduced dispersal abilities in a natural population of an aquatic insect
1. Rising global temperatures force many species to shift their distribution ranges. However, whether or not (and how fast) such range shifts occur depends on species' dispersal capacities. In most ecological studies, dispersal-related traits (such as the wing size or wing loading in insects) are treated as fixed, species-specific characteristics, ignoring the important role of phenotypic plasticity during insect development. 2. We tested the hypothesis that dispersal-related traits themselves vary in dependence of ambient environmental conditions (temperature regimes, discharge patterns and biotic interactions during individual development). 3. We collected data over 8 years from a natural population of the crane fly Tipula maxima in central Germany. Using linear mixed-effect models, we analysed how phenotypic traits, phenological characteristics and population densities are affected by environmental conditions during the preceding 3, 6 and 12 months. 4. We found a moderate (5.6%) increase in wing length per 1°C increase of mean annual temperatures during the previous year. At the same time, body weight increased by as much as 17.8% in females and 26.9% in males per 1°C, likely driven by increased habitat productivity, which resulted in a 16.4% (female) and 19.3% (male) increased wing loading. We further found a shorter, more synchronized emergence period (i.e., a narrower time frame for dispersal) with increasing temperatures. 5. Altogether, our results suggest that dispersal abilities of T. maxima were negatively affected by elevated temperatures, and we discuss how similar patterns might affect the persistence of populations of other aquatic insects, especially stenoecious taxa with narrow distribution ranges. Our study calls for integration of information on temperature-induced phenotypic plasticity of dispersal-related traits into models forecasting range shifts in the face of climate change. Furthermore, the patterns reported here are likely to affect metapopulation dynamics of aquatic insects under climate change conditions and may contribute to the ongoing decline of insect biomass and diversity.
Data from: Optimal management strategy of insecticide resistance under various insect life histories: heterogeneous timing of selection and inter-patch dispersal
Although theoretical studies have shown that the mixture strategy, which uses multiple toxins simultaneously, can effectively delay the evolution of insecticide resistance, whether it is the optimal management under different insect life histories and insecticide types remains unknown. To test the robustness of the management strategy over the life histories, we developed a series of simulation models which cover almost all the diploid insect types and have the same basic structure describing pest population dynamics and resistance evolution with discrete time-steps. For each of two insecticidal toxins, one-locus two-allele autosomal inheritance of resistance was assumed. The simulations demonstrated the optimality of the mixture strategy either when insecticide efficacy was incomplete or when some part of the population disperses between patches before mating. The rotation strategy, which uses one insecticide on one pest generation and a different one on the next, did not differ from sequential usage in the time to resistance, except when dominance was low. It was the optimal strategy when insecticide efficacy was high and pre-mating selection and dispersal occur.
Data from: Using host-associated differentiation to track source population and dispersal distance among insect vectors of plant pathogens
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Data from: Optimal management strategy of insecticide resistance under various insect life histories: heterogeneous timing of selection and inter-patch dispersal
Open the record for dataset details and reuse information.
Data from: Resource dispersion influences dispersal evolution of highly insulated insect communities
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Data from: Elevated temperatures translate into reduced dispersal abilities in a natural population of an aquatic insect
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Data and code for: Dispersing rice-associated arthropods ignore a phantom ultrasonic insect chorus
<p>This upload contains all data and code for "Dispersing rice-associated arthropods ignore a phantom ultrasonic insect chorus", submitted to Open Agriculture Journal. Manuscript abstract is pasted below:</p> <p><a name="_Hlk182213735"></a><span>The acoustic environment can provide fitness-enhancing information to dispersing animals, serving as a beacon of profitable habitat and mates, or warning of sub-optimal or dangerous habitat. Irrigated rice ecosystems stretch across tropical Asia and host an exceptionally rich assemblage of sound-producing animals. Here, we experimentally reproduced the ultrasonic chorus of meadow katydids (Tettigoniidae, Conocephalinae, Conocephanini), which are egg predators and produce bat-like ticks that could directly deter ultrasound-detecting rice pests. Indirect effects are also possible through arthropod predators’ response to the chorus. We deployed a 100-speaker array in a newly planted rice field to test whether dispersing aerial arthropods during early growth stages (< 60 days after planting) that are naturally katydid-free respond to a chorus playback that was turned on and off hourly. Aerial arthropods were sampled using intercept traps—one nested within a paddy with the speaker array, and one each in two control paddies. Aerial arthropod samples revealed similar temporal abundance patterns among guilds as prior work documenting canopy-sampled arthropods with detritivores accumulating prior to the arrival of predators and herbivores. However, none of the analyzed arthropod functional guilds or taxonomic families exhibited a response to the phantom chorus, suggesting that the ultrasonic chorus emanating from the rice canopy is either imperceptible to, or not warranting of a behavioral response by, the arthropods present in our study. Alternatively, this lack of response for some taxa may have resulted from our inability to sufficiently replicate the true extent of the natural chorus. A subsequent study at sites and during growth stages with larger populations of ultrasonic-hearing herbivores and employing a more robust playback system is needed to further assess arthropod’s potential response to natural ultrasonic insect choruses. In addition to reporting novel biodiversity data on dispersing arthropods colonizing rice, this work contributes to the growing literature describing animals’ response to environmental sounds and has the potential to inform emerging pest control technologies exploiting the sensory systems of crop pests. </span></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.