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104 results for “tiger moth”
Figure 13 in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 13. (a) Chronogram of the multilocus species tree showing estimates of divergence times obtained through the Bayesian dating analyses with BEAST v.2.6.3.0. Horizontal blue bars represent the 95% HPD heights for the major nodes of the chronogram. Numbers at nodes are median ages for the divergence times in Myr. A 5 Myr-timescale is placed at the bottom of the chronogram; (b) DensiTree v. 2.01 visualisation of the multilocus tree sample implemented in BEAST v.2.6.3.0. Gold stars at the corresponding nodes indicate the calibration points used to ultrametrize the topology: a secondary calibration at the stem of Arctiinae and a fossil at the crown of the clade Arctiina +Spilosomina. For the fossil calibration, a picture of the fossilized fore wing of Stauropolia nekrutenkoi Skalski, 1998 retrieved from; Skalski (1988) is presented at the crown of Arctiina+Spilosomina.
Figure 12 in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 12. Maximum likelihood topology showing the phylogenetic relationships of Murzinowatsonia species and the related genera based on molecular data. Clades not relevant to this study are shown as collapsed. Numbers to the left of each node are SH-aLRT support (%)/aBayes support/ultrafast bootstrap support (%).
Figure 9 in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 9. China, North West Sichuan, near Luhuo. Type locality of M. amelija sp. n. (photos by S. Butvila).
Figure 1-4. Murzinowatsonia spp., adults. 1, M in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 1-4. Murzinowatsonia spp., adults. 1, M. amelija sp. n., holotype, male, China, NW Sichuan, DNA voucher specimen id: ZMH-DNA0124 (ZMH); 2, M. amelija sp. n., paratype, male, China, NW Sichuan, DNA voucher specimen id: ZMH-DNA0125 (ZMH); 3, M. x-album, male, China, W Sichuan, DNA voucher specimen id: ZMH-DNA0128 (ZMH); 4, M. x-album, male, China, W Sichuan, DNA voucher specimen id: ZMH-DNA0129 (ZMH).
Figure 5-8. Murzinowatsonia spp., male genitalia. 5, M in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 5-8. Murzinowatsonia spp., male genitalia. 5, M. amelija sp. n., holotype, China, NW Sichuan, slide AV6095 Volynkin; 6, M. amelija sp. n., paratype, China, NW Sichuan, slide AV6094 Volynkin; 7, M. x-album, China, W Sichuan, slide AV6092 Volynkin; 8, M. x-album, China, W Sichuan, slide AV6093 Volynkin.
Great tit predation on colour morphs of the wood tiger moth at different relative frequencies
<p>Polymorphic warning signals in aposematic systems are enigmatic because predator learning should favor the most common form, creating positive frequency-dependent survival. However, many populations exhibit variation in warning signals. There are various selective mechanisms which can counter positive frequency-dependent selection and lead to temporal or spatial warning signal diversification. Examining these mechanisms and their effects requires first confirming whether the most common morphs are favored at both local and regional scales. Empirical examples of this are uncommon and often include potentially confounding factors such as a lack of knowledge of predator identity and behavior. We tested how bird behavior influences the survival of three coexisting morphs of the aposematic wood tiger moth <i>Arctia plantaginis </i>offered to a sympatric predator (great tits, <i>Parus major</i>) at different frequencies.<i> </i>We found that although positive frequency-dependent selection is present, its strength is affected by predator characteristics and varying prey profitability. These results highlight the need to understand predator foraging in natural communities with variable prey defences, in order to better examine how behavioral interactions shape evolutionary outcomes.</p>
Data from: To quiver or to shiver: increased melanisation benefits thermoregulation, but reduces warning signal efficacy in the wood tiger moth
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Great tit predation on colour morphs of the wood tiger moth at different relative frequencies
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Data from: An aposematic colour-polymorphic moth seen through the eyes of conspecifics and predators - sensitivity and colour discrimination in a tiger moth
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Data from: Temporal relationship between genetic and warning signal variation in the aposematic wood tiger moth (Parasemia plantaginis)
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Figures 6-9 in A new genus and two new species of arctiine tiger moth (Noctuidae, Arctiinae, Arctiini) from Costa Rica
Figures 6-9. Structural features of Leichosila. 6. L. talamanca, uncus (dorsal view); 7. L. wagneri, uncus (dorsal view); 8. L. talamanca, juxta; 9. L. talamanca, antenna (segments 14 – 18), ventral view (setae and cilia omitted except on segment 14).
FIGURES 1. Westindia haxairei n in A striking new genus and species of tiger-moth (Lepidoptera: Erebidae, Arctiinae, Arctiini) from the Caribbean, with molecular and morphological analysis of its systematic placement
FIGURES 1. Westindia haxairei n. sp. 1: Holotype, dorsal view.
Supplementary material 1 from: Palting JD, Moore W (2022) Molecular phylogeny of Lichen Tiger Moths (Lepidoptera, Erebidae, Arctiinae, Lithosiini): a contribution toward classifying Western Hemisphere genera. ZooKeys 1108: 119-139. https://doi.org/10.3897/zookeys.1108.80783
Figure S1
Figs 1–7 in Dodia Maja Sp. N., A New Tiger Moth From The Magadan Territory, Russia (Lepidoptera, Arctiidae)
Figs 1–7. Adults of Dodia sp.: 1–2 = D. kononenkoi TSHISTJAKOV et LAFONTAINE, 1984: 1 = male, Magadanskaia oblast, Russia; 2 = female, Yukon Territory, Canada; 3 = D. albertae DYAR, 1901, male, Yukon Territory, Canada; 4 = D. maja sp. n., holotype, male, Magadanskaia oblast, Russia; 5 = D. maja sp. n., paratype, female; 6 = third instar larva in laboratory; 7 = habitat – dry rocky tundra
FIGURE 7 in Comparative morphology and taxonomy of the tiger moth genus Epanycles Butler (Lepidoptera, Erebidae, Arctiinae, Arctiini, Ctenuchina), with notes on related genera
FIGURE 7. Holotype of Episcepsis atlantica. Scale bars: 10 mm.
FIGURE 6 in Comparative morphology and taxonomy of the tiger moth genus Epanycles Butler (Lepidoptera, Erebidae, Arctiinae, Arctiini, Ctenuchina), with notes on related genera
FIGURE 6. Geographical distribution of Epanycles imperialis.
FIGURE 103 in Review of generic limits of the tiger moth genera Virbia Walker and Holomelina Herrich-Schäffer (Lepidoptera: Arctiidae: Arctiinae) and their biogeography
FIGURE 103. Ovipositor opening, Virbia (H.) costata. Ovp = glandular, inverted.
FIGURE 21 in Review of generic limits of the tiger moth genera Virbia Walker and Holomelina Herrich-Schäffer (Lepidoptera: Arctiidae: Arctiinae) and their biogeography
FIGURE 21. Pyrrarctia isabella, male hind wing, M2 present. Abbreviations as in Figure 19B.
FIGURE 1. Holomelina ostenta Edwards FIGURE 2 in Review of generic limits of the tiger moth genera Virbia Walker and Holomelina Herrich-Schäffer (Lepidoptera: Arctiidae: Arctiinae) and their biogeography
FIGURE 1. Holomelina ostenta Edwards FIGURE 2. Virbia hypophea Hampson.
Figure 10 in Molecular taxonomy reveals an overlooked cryptic species of the tiger moth genus Murzinowatsonia Dubatolov (Lepidoptera, Arctiinae) from Sichuan, China
Figure 10. China, West Sichuan, near Litang. Habitat of M. x-album (Photos by A. Saldaitis).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.