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73 results for “albatross”
Data for: Global political responsibility for the conservation of albatrosses and large petrels
<p>Data derivatives from analysis of seabird tracking data. These data allow one to reproduce the results of the paper "Global political responsibility for the conservation of albatrosses and large petrels by Beal et al (in press). </p>
Рис. 2. РаспреΑеΛение трубконосых птиц (А — темноспинный аΛьбатрос, Б — гΛупыш, В — тонкокΛювый буревестник, Г — сизая качурка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 2. Distribution of tubenoses — (А) Laysan albatross, (Б) Northern fulmar, (В) shorttailed shearwater, (Г) fork-tailed storm-petrel — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects; dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 2. РаспреΑеΛение трубконосых птиц (А — темноспинный аΛьбатрос, Б — гΛупыш, В — тонкокΛювый буревестник, Г — сизая качурка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 2. Distribution of tubenoses — (А) Laysan albatross, (Б) Northern fulmar, (В) shorttailed shearwater, (Г) fork-tailed storm-petrel — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects; dotted line indicates a 200 m isobath
Fig. 5 in Molecular characterization and lesions associated with Diomedenema diomedeae (Aproctoidea: Desmidocercidae) from grey-headed albatrosses (Thalassarche chrysostoma) on Subantarctic Marion Island
Fig. 5. Bayesian phylogenetic tree of Diomedenema diomedeae based on COI gene sequences of spirurid worms. Branch lengths are drawn proportionally to evolutionary distance (scale bar is shown). Numbers adjacent to nodes indicate posterior probabilities.
Fig. 4 in Molecular characterization and lesions associated with Diomedenema diomedeae (Aproctoidea: Desmidocercidae) from grey-headed albatrosses (Thalassarche chrysostoma) on Subantarctic Marion Island
Fig. 4. Bayesian phylogenetic tree of Diomedenema diomedeae based on 18S rRNA gene sequences of spirurid worms. Branch lengths are drawn proportionally to evolutionary distance (scale bar is shown). Numbers adjacent to nodes indicate posterior probabilities.
Fig. 2 in Molecular characterization and lesions associated with Diomedenema diomedeae (Aproctoidea: Desmidocercidae) from grey-headed albatrosses (Thalassarche chrysostoma) on Subantarctic Marion Island
Fig. 2. Lesions associated with Diomedenema diomedeae infection in a grey-headed albatross chick (Thalassarche chrysostoma). Legend: (A) blood clots (arrows) and masses of pus (arrowheads) in the right thoracic air sac; (B) close-up of the blood clot and nematodes (arrowheads) in the right thoracic air sac; (C) nematodes (arrowheads) and masses of pus (arrows) in the abdominal air sacs; (D) tracheal hemorrhage.
Fig. 3 in Molecular characterization and lesions associated with Diomedenema diomedeae (Aproctoidea: Desmidocercidae) from grey-headed albatrosses (Thalassarche chrysostoma) on Subantarctic Marion Island
Fig. 3. Morphological characteristics of Diomedenema diomedeae. (A) Female, lateral view of the cephalic end: esophagus (e). (B) Female, dorsal view of the cephalic extremity: outer papilla (op), inner papilla (ip), vestibulum (ve), esophagus (e). (C) Male, lateral view of the posterior end (fast green counterstaining): large spicule (ls), small spicule (ss), precloacal papillae (pr). (D) Female, dorsal view of the cephalic end (fast green counterstaining): tricuspid tooth (tt), outer papilla (op), inner papilla (ip), vestibulum (ve). (E,F) Female, lateral view: uterus (u), vulva (v). (G,H) Eggs. Scale bars: (A) 125 μm, (B) 30 μm, (C) 150 μm, (D) 15 μm, (E) 100 μm, (F) 50 μm, (G,H) 30 μm. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. A in Molecular characterization and lesions associated with Diomedenema diomedeae (Aproctoidea: Desmidocercidae) from grey-headed albatrosses (Thalassarche chrysostoma) on Subantarctic Marion Island
Fig. 1. A grey-headed albatross (Thalassarche chrysostoma) chick at Greyheaded Albatross Ridge on Marion Island with drooping wings. A chick sitting with a normal posture can be seen in the background. Photo: P.G. Ryan.
Linked collectors and determiners for: Settling the name Diomedea exulans Linnaeus, 1758 for the Wandering Albatross by neotypification.
Natural history specimen data linked to collectors and determiners held within, "Settling the name Diomedea exulans Linnaeus, 1758 for the Wandering Albatross by neotypification". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fc8ec736-e4dd-4f7e-8f7e-6d1b7d475441">https://bionomia.net/dataset/fc8ec736-e4dd-4f7e-8f7e-6d1b7d475441</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fc8ec736-e4dd-4f7e-8f7e-6d1b7d475441">https://gbif.org/dataset/fc8ec736-e4dd-4f7e-8f7e-6d1b7d475441</a>. Formatted as a Frictionless Data package.
Partner intrinsic characteristics influence foraging trip duration, but not coordination of care in wandering albatrosses Diomedea exulans
<p>1. Long-lived monogamous species gain long-term fitness benefits by equalising effort during bi-parental care. For example, many seabird species coordinate care by matching foraging trip durations within pairs.</p> <p>2. Age affects coordination in some seabird species; however, the impact of other intrinsic traits, including personality, on potential intraspecific variation in coordination strength is less well understood.</p> <p>3. The impacts of pair members' intrinsic traits on trip duration and coordination strength were investigated using data from saltwater immersion loggers deployed on 71 pairs of wandering albatrosses <em>Diomedea</em> <em>exulans</em>. These were modelled against pair members' age, boldness and their partner's previous trip duration.</p> <p>4. At the population level, the birds exhibited some coordination of parental care that was of equal strength during incubation and chick-brooding. However, there was low variation in coordination between pairs and coordination strength was unaffected by the birds' boldness or age in either breeding stage. Surprisingly, during incubation, foraging trip duration was mainly driven by partner traits, as birds that were paired to older and bolder partners took shorter trips. During chick-brooding, shorter foraging trips were associated with greater boldness in focal birds and their partners, but age had no effect.</p> <p>5. These results suggest that an individual's assessment of their partner's capacity or willingness to provide care may be a major driver of trip duration, thereby highlighting the importance of accounting for pair behaviour when studying parental care strategies.</p>
Partner intrinsic characteristics influence foraging trip duration, but not coordination of care in wandering albatrosses Diomedea exulans
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Behavioral datasets of wandering albatrosses collected at Possession Island, Crozet, France, in 2019 and 2020
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EUREC4A: HALO flight phase separation: Awesome Albatross
<p>Awesome Albatross is the first version of the flight segmentation for HALO flights during the EUREC4A field campaign.</p>
Figure 6. - ATruncatoflabellummortenseni, USNM 97522, paratype, Philippines B Truncatoflabellumaustraliensis, paratype (including anthocaulus), USNM 96652, Western Australia C Truncatoflabellumcandeanum, neotype, including anthocaulus, USNM 81963, Albatross 5369, Philippines D Truncatoflabellumcompressum, upper figure, illustration of type from Lesson (1827); other views from Challenger 190, BM 1880.11.25.78. Scale bars: all 10 mm.
Figure 6. - ATruncatoflabellummortenseni, USNM 97522, paratype, Philippines B Truncatoflabellumaustraliensis, paratype (including anthocaulus), USNM 96652, Western Australia C Truncatoflabellumcandeanum, neotype, including anthocaulus, USNM 81963, Albatross 5369, Philippines D Truncatoflabellumcompressum, upper figure, illustration of type from Lesson (1827); other views from Challenger 190, BM 1880.11.25.78. Scale bars: all 10 mm.
Figure 3. - ATruncatoflabellumzuluense, paratype, USNM 91751, MD ZK-20, South Africa B Truncatoflabellumpusillum, holotype, USNM 81978, Albatross 5178, Philippines C Truncatoflabellumangustum, USNM 98894, MUSORSTOM 8-1016, Vanuatu D Truncatoflabellumangiostomum, USNM 96643, Cape Jaubert, Western Australia. Scale bars: all 10 mm, except for basal scar views, which are 5 mm.
Figure 3. - ATruncatoflabellumzuluense, paratype, USNM 91751, MD ZK-20, South Africa B Truncatoflabellumpusillum, holotype, USNM 81978, Albatross 5178, Philippines C Truncatoflabellumangustum, USNM 98894, MUSORSTOM 8-1016, Vanuatu D Truncatoflabellumangiostomum, USNM 96643, Cape Jaubert, Western Australia. Scale bars: all 10 mm, except for basal scar views, which are 5 mm.
Figure 5. - ATruncatoflabellumincrustatum, holotype, USNM 40774, Albatross 5251, Philippines B Truncatoflabellumsphenodeum, lectotype, NZGS CO 681, Trilissick Basin, New Zealand (Duntroonian = Lower Oligocene) C Truncatoflabellumcrassum, USNM 1130686, Albatross 5270, Philippines D Truncatoflabellumaculeatum, USNM 40781, Albatross 5156, Philippines. Scale bars: all 10 mm.
Figure 5. - ATruncatoflabellumincrustatum, holotype, USNM 40774, Albatross 5251, Philippines B Truncatoflabellumsphenodeum, lectotype, NZGS CO 681, Trilissick Basin, New Zealand (Duntroonian = Lower Oligocene) C Truncatoflabellumcrassum, USNM 1130686, Albatross 5270, Philippines D Truncatoflabellumaculeatum, USNM 40781, Albatross 5156, Philippines. Scale bars: all 10 mm.
Across borders: external factors and prior behavior influence North Pacific albatross associations with fishing vessels
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Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses
Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions. However, different tracking methods provide different data resolutions, ranging from < 10m to >100km. To better understand the implications of this variation, we modeled the potential distribution of black-browed albatrosses Thalassarche melanophris from South Georgia that were simultaneously equipped with a Platform Terminal Transmitter (PTT) (high resolution) and a Global Location Sensor (GLS) logger (coarse resolution), and measured the overlap of the respective potential distribution for a total of nine different SDM algorithms. We found slightly better model fits for the PTT than for GLS data (AUC values 0.958±0.048 vs. 0.95±0.05) across all algorithms. The overlaps of the predicted distributions were higher between device types for the same algorithm, than among algorithms for either device type. Uncertainty arising from coarse-resolution location data is therefore lower than that associated with the modeling technique. Consequently, the choice of an appropriate algorithm appears to be more important than device type when applying SDMs to seabird tracking data. Despite their low accuracy, GLS data appear to be effective for analyzing the habitat preferences and distribution patterns of pelagic species.
Data from: A comparative analysis of the behavioral response to fishing boats in two albatross species
Anthropogenic food resources have significantly modified the foraging behavior of many animal species. They enhance large multi-specific aggregations of individuals, with strong ecological consequences. It is challenging to predict how individuals or species can differ in their reaction to these resources. For instance, there are wide variations in seabird species abundance behind fishing boats, and individual variations in interaction rates. Whether this is reflecting variations in fine-scale encounter rates or rather variations in attraction strength is poorly quantified. Here we compare the response of Wandering (WA) and Black-browed (BBA) albatrosses to fishing boats operating in sub-Antarctic waters. We use GPS tracking data from both birds and boats (Vessel Monitoring System). Attraction distances were similar between the 2 species (up to 30 km). BBA foraged further from fishing grounds and encountered boats less frequently than WA, but once they encountered a boat BBA were more strongly attracted (80% vs. 60% chance) and had a higher level of active interaction, compared to WA. Furthermore, in the absence of boats, BBA were rarely observed foraging over the habitat where the fisheries mainly operate, in contrast with WA. We thus report qualitative and quantitative differences in the response of these 2 species to the same fishing fleet. WA, the larger, more dominant and more generalist species was unexpectedly less attracted to fishing vessels. Comparing our results with previously published studies, we suggest that energetic requirements of individuals may be a crucial predictor for assessing risks of interactions with anthropogenic food resources.
Data from: Contrasting drivers of reproductive ageing in albatrosses
1.Age-related variation in reproductive performance is ubiquitous in wild vertebrate populations and has important consequences for population and evolutionary dynamics. 2.The ageing trajectory is shaped by both within-individual processes, such as improvement and senescence, and by the among-individual effects of selective appearance and disappearance. To date, few studies have compared the role of these different drivers among species or populations. 3.In this study, we use nearly 40 years of longitudinal monitoring data to contrast the within- and among-individual processes contributing to the reproductive ageing patterns in three albatross species (two biennial and one annual breeder), and test whether these can be explained by differences in life-histories. 4.Early life performance in all species increased with age, and was predominantly influenced by within-individual improvements. However, reproductive senescence was detected in only two of the species. In the species exhibiting senescent declines, we also detected a terminal improvement in breeding success. This is suggestive of a trade-off between reproduction and survival, which was supported by evidence of selective disappearance of good breeders. 5.We demonstrate that comparisons of closely-related species which differ in specific aspects of their life-history can shed light on the ecological and evolutionary forces shaping variation in ageing patterns.
XFP-056 Albatross Bone Tool, Sanak Island, Ak
Bird bone tool, Albatross, Sanak Island, Alaska. CAT# XFP-056-113-1 XFP-056 is a group of large house depressions on the south shore of Pauloff Harbor, Sanak Island, Alaska. Multiple radiocarbon dates place it from 300 CE to 800 CE, although the upper most levels may date to the 13th century. These artifacts were scanned with either a Faro Edge Arm or a Minolta Vivid 9i. Processed in Geomagic or Polyworks. 4-8 photos were used for texture in ZBrush. The Sanak Island artifacts are presented as a result of the research conducted under grants NSF 0326584, NSF 0508101, NSF 1139266, NSF 1321411. H. Maschner, Principal Investigator. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing completed at Global Digital Heritage. Fieldwork and analysis done with the permission and collaboration of the Pauloff Harbor Tribe and the Sanak Corporation Source: Objaverse 1.0 / Sketchfab
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