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39 results for “shearwater”
FIGURE 9 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 9. Opetiopoda bulweriae sp. n., female. A—dorsal view, B—ventral view. lp—lateral piece of hysteronotal shield, mp—median piece of hysteronotal shield.
FIGURE 6 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 6. Ingrassia micronota sp. n., details of legs. A–D—male, E–F—female. A—tarsus and tibia I, dorsal view, Btarsus and tibia II, dorsal view, C—tarsus III, dorsal view, D—tarsus and tibia IV, dorsal view, E—tarsus III, dorsal view, Ftarsus IV, dorsal view.
FIGURE 3 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 3. Ingrassia calonectris sp. n., details of legs. A–D—male, E–F—female. A—tarsus and tibia I, dorsal view, Btarsus and tibia II, dorsal view, C—tarsus III, dorsal view, D—tarsus and tibia IV, dorsal view, E—tarsus III, dorsal view, Ftarsus IV, dorsal view.
FIGURE 8 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 8. Opetiopoda bulweriae sp. n., legs of male. A–D—dorsal view of legs I–IV, respectively, E—tarsus I, ventral view, F—tarsus II, ventral view.
Data from: MetaBARFcoding: DNA-barcoding of regurgitated prey yields insights into Christmas Shearwater (Puffinus nativitatis) foraging ecology at Hōlanikū (Kure Atoll), Hawaiʻi
<p>Morphological identification of digested prey remains from a generalist predator can be challenging, especially when attempting to match degraded remains to taxonomic keys. DNA techniques, whereby prey is sequenced and matched to large public nucleotide sequence databases, are increasingly being used to augment morphological identification. We used "metaBARFcoding" (DNA metabarcoding) to target a region of the cytochrome <i><u>c</u></i> oxidase subunit I mitochondrial gene to identify prey in highly-digested regurgitations from Christmas Shearwaters <i>Puffinus nativitatis </i>at Hōlanikū (Kure Atoll). Metabarcoding was used to bulk-process 92 water samples from regurgitations collected from 2009-2017, providing an overview of the seabird's diet. We additionally Sanger sequenced 100 prey items from 50 randomly chosen regurgitations to verify that metabarcoding characterized key components of the diet. The metabarcoding technique identified 87 unique taxa from 29 families of fish and squid, spanning diverse taxa, including reef-associated, pelagic-oceanic, and mesopelagic species. Rare prey (frequency of occurrence <u><</u> 5% of samples) constituted 66% of the species richness, demonstrating the highly diverse diet of this generalist predator. Overall, 81% of the families detected in the contemporary diet were previously documented in Christmas Shearwater diets from the Northwestern Hawaiian Islands. Our results indicate that metabarcoding the cytochrome <i>c</i> oxidase subunit I (COI) region is useful in identifying a wide range of taxa from highly digested regurgitations, thus facilitating this approach to study seabird diets.</p>
Consistent concentrations of critically endangered Balearic shearwaters in UK waters revealed by at-sea surveys
<p><u>Aim</u>: Europe's only globally critically endangered seabird, the Balearic shearwater (<i>Puffinus mauretanicus</i>), is thought to have expanded its post-breeding range northwards into UK waters, though its distribution there is not yet well understood. This study aims to identify environmental factors associated with the species' presence, and map the probability of presence of the species across the western English Channel and southern Celtic Sea, and estimate the number of individuals in this area.</p> <p><u>Location</u>:<em><span> The </span></em>western English Channel and southern Celtic Sea</p> <p><u>Methods</u>: <em><span>This study analyses strip transect data collected from vessel-based surveys in the </span></em>western English Channel and southern Celtic Sea during the shearwater's post-breeding period between 2013 and 2017. Using environmental data collected directly and from remote sensors both Generalized Additive Models (GAMs) and the Random Forest (RF) machine learning model were used to determine shearwater presence at different locations.</p> <p><u>Results</u>: Both models indicated that oceanographic features were better predictors of shearwater presence than fish abundance. Seafloor aspect, sea surface temperature, depth, salinity, and maximum current speed were the most important predictors. Based on the timing of the surveys (mainly in October) it is probable that most of the sighted shearwaters were immatures.</p> <p><u>Main conclusions</u>: Areas with consistently high probabilities of shearwater presence were identified at the Celtic Sea front. Our estimates suggest that the study area in southwest Britain supports between 2% and 23% of the global population of Balearic shearwaters. This study provides the most complete understanding of Balearic shearwater distribution in UK waters available to date, information that will help inform any future UK conservation actions concerning this endangered species.</p>
Consistent concentrations of critically endangered Balearic shearwaters in UK waters revealed by at-sea surveys
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Data from: MetaBARFcoding: DNA-barcoding of regurgitated prey yields insights into Christmas Shearwater (Puffinus nativitatis) foraging ecology at Hōlanikū (Kure Atoll), Hawaiʻi
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Cory’s, Scopoli’s, and Cabo Verde shearwaters non-breeding locations
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Data from: Combined use of GPS and accelerometry reveals fine scale three-dimensional foraging behaviour in the short-tailed shearwater
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Data from: Flying south: foraging locations of the Hutton’s shearwater (Puffinus huttoni) revealed by time-depth recorders and GPS tracking
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FIGURE 7 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 7. Opetiopoda bulweriae sp. n., male. A—dorsal view, B—ventral view.
FIGURE 5 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 5. Ingrassia micronota sp. n., female. A—dorsal view, B—ventral view.
FIGURE 4 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 4. Ingrassia micronota sp. n. male. A—dorsal view, B—ventral view.
FIGURE 1 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 1. Ingrassia calonectris sp. n., male. A—dorsal view, B—ventral view.
FIGURE 2 in Three new species of the feather mite subfamily Ingrassiinae (Acariformes: Xolalgidae) from shearwaters and petrels (Procellariiformes: Procellariidae)
FIGURE 2. Ingrassia calonectris sp. n., female. A—dorsal view, B—ventral view.
GPS tracks and behaviour detection of chick-rearing streaked shearwaters at Funakoshi Oshima Island, Japan, 2018 & 2019
<p>The study of seabird behaviour has largely relied on animal-borne tags to gather information, requiring interpretation to estimate at-sea behaviours. Details of shallow-diving birds' foraging are less known than deep-diving species due to difficulty in identifying shallow dives from biologging devices. Development of smaller video loggers allow a direct view of these birds' behaviours, at the cost of short battery life. However, recordings from video loggers combined with relatively low power usage accelerometers give a means to develop a reliable foraging detection method. Combined video and acceleration loggers were attached to streaked shearwaters in Funakoshi-Ohshima Island (39'N,141'59''E) during the breeding season in 2018. Video recordings were classified into behaviours and a detection method was generated from the acceleration signals. Two foraging behaviours, surface seizing and foraging dives, are reported with video recordings. Surface seizing was comprised of successive take-offs and landings (mean duration 0.6 and 1.5s, respectively), while foraging dives were shallow subsurface dives (1.9s mean duration) from the air and water surface. Birds were observed foraging close to marine predators, including dolphins and large fish. Foraging detections were validated against video recordings (surface seizing true positive 78%, false positive 5%, foraging dive true positive 66%, false positive <1%). The detection method was implemented to data from longer duration acceleration and GPS datasets collected during the 2018 and 2019 breeding seasons. Foraging trips lasted between 1-8 days, with birds performing on average 16 surface seizing events and 43 foraging dives per day, comprising <1% of daily activity, while transit and rest took up 55% and 39%, respectively. This foraging detection method can address the difficulties of recording shallow-diving foraging behaviour and provides a means to measure activity budgets across shallow diving seabird species.</p>
Data from: An holistic ecological analysis of the diet of Cory’s shearwaters using prey morphological characters and DNA barcoding
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GPS tracks and behaviour detection of chick-rearing streaked shearwaters at Funakoshi Oshima Island, Japan, 2018 & 2019
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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
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