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62 results for “mallard”
Feral Muscovy and Mallard Tracking Data at USF
<p>Tracking data collected as a part of published study. </p> <p> </p> <p>Joni Downs, Mehrdad Vaziri, Lucy Deba Enomah, and Zachary J. Smith. 2021. Habitat use and movements of feral Mallards (Anas platyrhynchos) and invasive Muscovy ducks (Cairina moschata) in Tampa, Florida. Florida Field Naturalist 49(2): 35-45.</p>
Fig. 5 in Helminths Of The Mallard, Anas Platyrhynchos (Aves, Anatidae) In Ukraine: Analysis Of The Diversity In Mixed Forest Zone And The Black Sea Region
Fig. 5. Configuration of 2-dimensional MDS for specimens of Mallard from the mixed forest zone (P) and from the steppe zone (B) with overlapping clusters at similarity level of 15 %.
Fig. 3 in Helminths Of The Mallard, Anas Platyrhynchos (Aves, Anatidae) In Ukraine: Analysis Of The Diversity In Mixed Forest Zone And The Black Sea Region
Fig. 3. Prevalence (with lower and upper confidence intervals at significant level 95 %) and mean intensity (with range; in case when only one or two birds were infected by a certain type of helminth, then the actual intensity values are given) of Mallard´s infection with: A — trematodes from the mixed forest zone; B — trematodes from the steppe zone. * Logarithmic scale was used
Integrated population model for the Mallard in the Netherlands
<p><span>Europe's highest densities of breeding Mallards (<em>Anas platyrhynchos</em>) are found in the Netherlands, but the breeding population there has declined by ~30% since the 1990s. The exact cause of this decline has remained unclear.</span><span> </span><span>Here, we used an integrated population model to jointly analyze Mallard population survey, nest survey, duckling survival and band-recovery data. We used this approach to holistically estimate all relevant vital rates, including duckling survival rates for years for which no explicit data were available. Mean vital rate estimates were high for nest success (0.38 ±0.01) and egg hatch rate (0.96 ±0.001), but relatively low for clutch size (8.2 ±0.05) compared to populations in other regions. Estimates for duckling survival rate for the three years for which explicit data were available were low (0.16-0.27) compared to historical observations, but were comparable to rates reported for other regions with declining populations. Finally, mean survival rate was low for ducklings (0.18 ±0.02), but high and stable for adults (0.71 ±0.03). Population growth rate was only affected by variation in duckling survival, but since this is a predominantly latent state variable, this result should be interpreted with caution. However, it does strongly indicate that none of the other vital rates, all of which were supported by data, was able to sufficiently explain the population decline. Together with a comparison with historic vital rates, these findings point to a reduced duckling survival rate as the likely cause of the decline. Candidate drivers of reduced duckling survival are increased predation pressure and reduced food availability, but this requires future study. Integrated population modeling can provide valuable insights into population dynamics even when empirical data for a key parameter are partly missing.</span></p>
Fig. 4 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 4. Tanglegram showing the associations between the CO1 gene trees for the host ducks (on the left, n = 15) and the three species of louse (on the right, n = 61) from Manawatu, New Zealand. For lice, only the different haplotypes are shown. The two hosts with Grey Duck mtDNA are shown in bold as well as the louse haplotypes exclusive to them. Thin lines indicate host–parasite associations. Lice photos are illustrative and not to scale.
Fig. 3 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 3. Bayesian phylogeny of Anaticola crassicornis based on 378 bp of CO1 gene from Escalante et al. (2016) but with the addition of 16 new sequences from New Zealand hosts. The values above branches are posterior probabilities. The scale bar indicates nucleotide substitutions per site along the branch lengths. Haplotypes names correspond to those shown in Fig. 2. For simplicity we are showing the portion of the tree of interest, the full tree with all downloaded sequences can be found in the Supplementary Fig. S2. NZ = New Zealand.
Fig. 2 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 2. On the left, unrooted parsimony networks for the three species of lice found on Mallard x Grey Duck hybrids showing the relationships of CO1 haplotypes. On the right, unrooted parsimony networks for the 40 hybrid host ducks showing the relationships of CO1 haplotypes (top) and control region (bottom). The areas of the circles are proportional to the number of haplotypes observed. The capital let- ters indicate the different haplotypes found.
Fig. 1 in The ectoparasites of hybrid ducks in New Zealand (Mallard x Grey Duck)
Fig. 1. Ectoparasite abundance on Mallard x Grey Duck hybrids in New Zealand. Histograms of A) total lice load; B, C, D) abundance per host for each of three feather lice species, with the phenotypic-hybridisation level of each duck shown in different colours. For representation purposes, ducks were considered to be Grey Ducklike for principal component 1 (PC1) score below −1.5, intermediate for a PC1 score between −1.5 and 1.5 and Mallard-like for a score above 1.5.
Figure 3 in Ontogeny of Chenophila platyrhynchos sp. nov. (Acari: Syringophilidae), an ectoparasite of the Mallard Anas platyrhynchos (Anseriformes: Anatidae)
Figure 3. Chenophila platyrhynchos sp. nov., tritonymph: A) dorsal view, B) ventral view, C) gnathosoma in dorsal view, D) gnathosoma in ventral view, E) peritremes, F) solenidia of leg I.
Figure 4 in Ontogeny of Chenophila platyrhynchos sp. nov. (Acari: Syringophilidae), an ectoparasite of the Mallard Anas platyrhynchos (Anseriformes: Anatidae)
Figure 4. Chenophila platyrhynchos sp. nov., protonymph: A) dorsal view, B) ventral view, C) gnathosoma in dorsal view, D) gnathosoma in ventral view, E) peritremes, F) tarsus I in dorsal view, G) tarsus II in dorsal view.
Fig. 1 in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 1. Proved occurrence of R. auricularia snails in Hungarian habitats based on museum collections and own investigations. The species was detected in artificial ponds or canals (yellow dots: living specimens; green dots: shells) and also in natural habitats (red dots: living specimens; blue dots: shells). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 8. a, b in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 8. a, b. Maximum likelihood tree of the samples of Trichobilharzia franki and Bilharziella polonica from the present study (a COI, b 28S) in relation to other schistostomatid sequences deposited in GenBank. Bootstrap values are given at the nodes; posterior probabilities for Bayesian inference are shown behind the bootstrap values. Unsupported nodes by BI are marked with a hyphen. Samples from the present study are in bold. The scale bar indicates the expected number of substitutions per sit.
Fig. 6. A in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 6. A hemalaun-stained Dendritobilharzia male from the liver of a mallard. Every scale under the specimen is equal to a millimetre.
Fig. 3. A in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 3. A complete specimen of native Trichobilharzia male in cell suspension from the liver of a mallard.
Fig. 2 in Threat of cercarial dermatitis in Hungary: A first report of Trichobilharzia franki from the mallard (Anas platyrhynchos) and European ear snail (Radix auricularia) using molecular methods
Fig. 2. The shape of bursa copulatrix of the adult R. auricularia is spherical and the stalk is long (A), while the bursa copulatrix of Radix balthica is oval and stalk is short (B). This anatomical structure seems the most reliable morphological difference to distinguish of the two most common Radix species in Hungary, but can only be studied on sexually mature and non-trematode infected specimens (Juh´asz, 2018) The length of the dissected organs is about 1 cm.
Integrated population model for the Mallard in the Netherlands
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Mallards have been replacing Black Ducks in human-altered landscapes in Ontario, 1996-2019
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Hunting constrains wintering mallard response to habitat and environmental conditions
<p>The spatiotemporal allocation of activity is fundamental to how organisms balance energetic intake and predation risk. Activity patterns fluctuate daily and seasonally, and they are proximately affected by exogenous and endogenous conditions. For birds, flight activity is often necessary for relocating between foraging patches but is energetically expensive and can increase mortality risk. Hunted species may have to adjust their behavior and activity patterns to minimize anthropogenic mortality risk. We used hourly locations from 336 GPS-marked mallards (<em>Anas platyrhynchos</em>) to examine how hunting pressure affected flight activity in response to weather conditions and habitat availability during winter in western Tennessee, USA. Mallards were more likely to fly during crepuscular times, particularly dusk, across winter months. Mallards conducted more flights after shooting hours when habitat availability increased during open hunting season; conversely, mallard flights decreased with increasing habitat availability when hunters were present on the landscape. Mallards were least active during periods open to hunting. However, indicators of approaching inclement weather (i.e., increased wind speed, precipitation, and decreasing barometric pressure) increased flights during periods open to hunting. Mallard flights decreased at lower temperatures except when hunting season was closed, wherein mallards increased nighttime flights. Flight activity was directly influenced by hunting disturbance which constrained when and how mallards reacted to environmental and habitat conditions. An understanding of the temporal shifts in waterfowl flight patterns can be used by natural resource managers to better manage stakeholder satisfaction and expectations.</p>
Raw GPS data of wild and farmed mallards in southern Sweden
<p>Releasing farmed mallards into the wild is a common practice in wildlife management worldwide, involving millions of birds annually, and is mainly carried out to increase hunting opportunities. Ringing and previous research show that released mallards have low survival also outside the hunting season, and that survivors may compromise migration habits, morphology, and adaptations of the wild population. Detailed local movements of released mallards have not been studied before, despite the importance of spatiotemporal patterns for understanding the impact of releases and their utility for hunting. We studied local movements in August-October of 11 wild and 44 released mallards caught in the same wetland in southern Sweden and provided with GPS tags. Wild mallards moved longer distances than farmed, over the whole diel cycle as well as during three out of four separate periods of the day (dawn, day, and dusk). Mallards of both origins moved the longest distances during dusk and dawn, and the shortest during night. Males and females did not differ significantly in distance moved, regardless of origin (wild <em>versus</em> farmed). Our study demonstrates large differences in spatiotemporal movement patterns between wild and farmed mallards. The typical day of wild mallards included movements between wetlands in the landscape, likely to foraging sites known from previous experience. However, wild mallards frequently returned to the study wetland, probably attracted by supplementary bait. On the other hand, farmed mallards seldom left the study wetland, despite the possibility of accompanying wild birds to other sites. The sedentary behavior of farmed mallards and the fact that wild birds come to join them are both beneficial for hunting purposes. Limited movements of farmed mallards together with their low survival could also be positive as they limit hybridization between wild and farmed mallards, as well as dispersal of nutrients.</p>
Mallard Pairing Behavior
<p>Recorded observations of paired and unpaired females and paired female's male partners. Observations were conducted at the Georgetown Waterfront in Washington, DC in March and April of 2022.</p> <p>Behavior key: AL - alert; DF - defense, FO - foraging, GR - grooming, R - rest, SW - swimming, LO - locomotion</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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.