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137 results for “gulls”
MEDGULL_ANTWERPEN - Mediterranean gulls (Ichthyaetus melanocephalus, Laridae) breeding near Antwerp (Belgium)
<p><em>MEDGULL_ANTWERPEN - Mediterranean gulls (Ichthyaetus melanocephalus, Laridae) breeding near Antwerp (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>MEDGULL_ANTWERPEN</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com">https://www.ornitela.com</a>). The study has been operational since 2021. In total 14 individuals of Mediterranean gull (<em>Ichthyaetus melanocephalus</em>) have been tagged in their breeding area near the city of Antwerp (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1609400843">1609400843</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/15685037/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>MEDGULL_ANTWERPEN-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>MEDGULL_ANTWERPEN-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
LBBG_JUVENILE - Juvenile lesser black-backed gulls (Larus fuscus, Laridae) and herring gulls (Larus argentatus, Laridae) hatched in Zeebrugge (Belgium)
<p><em>LBBG_JUVENILE - Juvenile lesser black-backed gulls (Larus fuscus, Laridae) and herring gulls (Larus argentatus, Laridae) hatched in Zeebrugge (Belgium)</em> is a bird tracking dataset published by the <a href="https://inbo.be">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>LBBG_JUVENILE</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com">https://www.ornitela.com</a>). The study has been operational since 2020. In total 92 individuals of lesser black-backed gull (<em>Larus fuscus</em>) and European herring gull (<em>Larus argentatus</em>) have been tagged shortly after fledging in the colony of Zeebrugge, mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1259686571">1259686571</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/16933166/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>LBBG_JUVENILE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>LBBG_JUVENILE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)
<p><em>HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>HG_OOSTENDE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2013 until 2022. In total 60 individuals of European herring gull (<em>Larus argentatus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Ostend and Zeebrugge in Belgium), mainly to study their habitat use. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study986040562">986040562</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/10054230/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>HG_OOSTENDE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>HG_OOSTENDE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>HG_OOSTENDE-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)
<p><em>LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>LBBG_ZEEBRUGGE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study has been operational from 2013 until 2023. In total 162 individuals of lesser black-backed gull (<em>Larus fuscus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study985143423">985143423</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/12336021/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>LBBG_ZEEBRUGGE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>LBBG_ZEEBRUGGE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
LBBG_ADULT - Lesser black-backed gulls (Larus fuscus, Laridae) breeding in Belgium
<p><em>LBBG_ADULT - Lesser black-backed gulls (Larus fuscus, Laridae) breeding in Belgium</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>LBBG_ADULT</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com/">https://www.ornitela.com</a>). The study has been operational since 2022. In total 39 individuals of lesser black-backed gull (<em>Larus fuscus</em>) have been tagged in the breeding colony of Zeebrugge in Belgium, mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page%3Dstudies%2Cpath%3Dstudy2298738353">2298738353</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/17292786/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>LBBG_ADULT-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>LBBG_ADULT-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
Fledging of Leach's Storm-Petrel chicks from Gull Island
<p>We used passive integrated transponder (PIT) tags to track the exact time and date that Leach's Storm-Petrel (<em>Hydrobates leucorhous</em>) chicks fledged from their burrow. The data included here are the last read for each of 123 chicks tracked in 2017, 2018, 2021, and 2022 on Gull Island, Witless Bay Ecological Reserve, Newfoundland and Labrador, Canada. We also include morphometric measurements of each chick that was banded and tagged for this study.</p>
Data and R-scripts from: Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions
<p>This contains data and R-scripts used in: </p> <ul> <li>Bård-Jørgen Bårdsen and Jan Ove Bustnes (2022). Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology.</li> </ul> <p>This study assessed the population viability of a population of the lesser black-backed gull (<em>Larus fuscus fuscus</em>) using data collected during 2005-2020 from a nature reserve in Northern Norway. The study merged results from statistical analyses of empirical data with a Leslie model. Here, we provide the underlying data, and the R-scripts used to analyse the data and run the model. The data set include information about reproduction at several stages (laying, hatching and fledgling), nest predation, and individual capture histories (used to estimate apparent survival; see <a href="https://doi.org/10.1111/jav.02953">Bårdsen and Bustnes 2022</a>).</p>
Molecular evidence for introgressive hybridization in New Zealand masked gulls
<p>Genetic data and codes to reproduce the analyses from the manuscript :<br> <br> Given, A. D., Mills, J. A., Momigliano, P., & Baker, A. J. (2022). Molecular evidence for introgressive hybridization in New Zealand masked gulls. <em>Ibis</em>. https://doi.org/10.1111/ibi.13117</p> <p>The data and codes are in two zipped folders</p> <ol> <li>FSC.zip</li> <li>PopGen.zip</li> </ol> <p>The FSC.zip folder contains data and scripts to reproduce the fastsimcoal simulations and to calculate summary statistics from observed and simulated data. It also includes the results from these analyses and an R script to run ABC model selection via random forest. </p> <p>The PopGen.zip folder contains the microsatellite dataset in both <em>genepop</em> (RB-BB.gen)<em> </em>and <em>structure </em>(RB-BB.str) formats , the results from STRUCTURE analyses (folder RB-BB_STRUCT), and an R script (Popgen_analyses.r) to reproduce population genetic analyses (PCA and summary statistics: <em>F</em><sub>ST</sub>, and estimate HWE, <em>H</em><sub>O</sub> and <em>H</em><sub>E</sub>) and plots. </p>
Fig. 4 in Distribution Of Sibling Species Yellow-Legged Gull, Larus Michahellis And Caspian Gull, Larus Cachinnans (Charadriiformes, Laridae), On The Black Sea Coast
Fig. 4. Settlements of Larus cachinnans (circles) and Larus michahellis (triangles) in the northern part of the Black Sea. Yellow figures — the species was determined by means of the analysis of mitochondrial DNA, red ones — by means of the analysis of museum specimens or photos of alive birds. According to Belik, 2018; Klein, Buchheim, 1997; Kuzikov, 2021; Liebers et al., 2004; Mnatsekanov et al., 1992; Sikorsky, 2016; Siokhin et al., 2000; Til'ba, Filipov, 2016; Tsvelykh, 2016, 2018 and data from this study.
Fig. 5 in Distribution Of Sibling Species Yellow-Legged Gull, Larus Michahellis And Caspian Gull, Larus Cachinnans (Charadriiformes, Laridae), On The Black Sea Coast
Fig. 5. Breeding ranges of Larus michahellis (orange) and Larus cachinnans (red) on the Black sea and Sea of Azov coasts.
Fig. 1 in Distribution Of Sibling Species Yellow-Legged Gull, Larus Michahellis And Caspian Gull, Larus Cachinnans (Charadriiformes, Laridae), On The Black Sea Coast
Fig. 1. Differences in coloration of the outer primaries of Larus michahellis (left column) and Larus cachinnans (right column) from the Black Sea coast. A — Kobuleti, Georgia. August 20, 1910 (collection of the National Museum of Natural History, the National Academy of Sciences of Ukraine), B — Karadag, Crimean Peninsula, Ukraine, July 2, 1946; (collection of the Zoological Museum of Kyiv National University), C — Vilkovo, Danube Delta, Ukraine, April 26, 1948 (collection of the Zoological Museum of Kyiv National University), D — Swan Islands, Karkinitian Bay, Ukraine, February 22, 1972 (collection of the National Museum of Natural History of the National Academy of Sciences of Ukraine).
Object neophilia in wild herring gulls in urban and rural locations
<p>Living with increasing urbanisation and human populations requires resourcefulness and flexibility in wild animals' behaviour. Animals have to adapt to anthropogenic novelty in habitat structure and resources that may not resemble, or be as beneficial as, natural resources. Herring gulls (Larus argentatus) increasingly reside in towns and cities to breed and forage, yet how gulls are adjusting their behaviour to life in urban areas is not yet fully understood. This study investigated wild herring gulls' responses to novel and common anthropogenic objects in urban and rural locations. We also examined whether gulls' age influenced their object response behaviour. We found that, out of the 126 individual gulls presented with objects, 34% approached them. This suggests that the majority of targeted gulls were wary or lacked interest in the experimental set-up. Of the 43 gulls that approached the objects, we found that those tested in urban locations approached more slowly than their rural counterparts. Overall, gulls showed no preference for either novel or common anthropogenic objects, and age did not influence likelihood of approach, approach speed or object choice. Individuals paid most attention to the object they approached first, potentially indicative of individual preferences. Our findings indicate that most herring gulls are not as attracted to anthropogenic objects as anecdotal reports have suggested. Covering up obvious food rewards may thus help mitigate human-gull conflict over anthropogenic food sources.</p>
Position in the laying order has sex-specific consequences for reproductive success in adult black-headed gulls
<p><span>Mothers who produce multiple offspring within one reproductive attempt often allocate resources differentially; some maternally-derived substances are preferentially allocated to last-produced offspring and others to first-produced offspring. The combined effect of these different allocation regimes on the overall fitness of offspring produced early or late in the sequence is not well understood, partly because production order is often coupled with birth order, making it difficult to separate effects of pre-natal maternal allocation from those of post-natal social environments. In addition, very little is known about the influence of laying order on fitness in later-life. In this study, we used a semi-natural captive colony of black-headed gulls to test whether an offspring's position in the laying order affected its early life survival and later life reproductive success, independent of its hatching order. Later-laid eggs were less likely to hatch, but among those that did, survival to adulthood was greater than that of first-laid eggs. In adulthood, the laying order of females did not affect their likelihood of breeding in the colony, but male offspring hatched from last-laid eggs were significantly less likely to gain a breeding position than earlier-laid males. In contrast, later-laid female parents hatched lower proportions of their clutches than first-laid females, but hatching success was unrelated to the laying order of male parents. Our results indicate that gull mothers induce complex and sex-specific effects on both the early survival of their offspring and on long-term reproductive success through laying order effects among eggs of the same breeding attempt.<strong> </strong></span></p>
Egg and chick size in the nests of common gulls in Lake Chany, West Siberia, Russia from 1993 to 2011
<p>A long-term study of breeding ecology of gulls has been carried in the area of Lake Chany. Lake Chany is located in the Baraba forest-steppe of the West Siberian Plain, Russia, between the Ob and Irtysh rivers. The Lake is protected by the Ramsar Convention on the Wetlands of International Importance, indicating that the lake is an important site for migrating and breeding birds, including the Common gull <em>Larus canus </em>(Linnaeus, 1758). We provided data on the size and fate of all eggs as well as the size of hatched chicks in Common gull nests from 1993 to 2011. The data can be used to assess how environmental changes caused by human activity, including global warming, affect the reproduction and population dynamics of migratory birds. </p>
Fig. 8 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 8. Dynamics of the Lesser back-backed Gull, Herring Gull and Great black-backed Gull spring migration (5-days averages)
Fig. 7 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 7. Dynamics of the Little Gull, Black-headed Gull and Common Gull spring migration (5-days averages)
Fig. 6 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 6. Annual intensity dynamics of the Great black-backed Gull (Larus marinus) spring migration on the Lithuanian Baltic Sea coast
Fig. 2 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 2. Annual intensity dynamics of the Black-headed Gull (Larus ridibundus) spring migration on the Lithuanian Baltic Sea coast
Fig. 3 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 3. Annual intensity dynamics of the Common Gull (Larus canus) spring migration on the Lithuanian Baltic Sea coast
Fig. 4 in Abundance And Seasonal Migration Of Gulls (Laridae) On The Lithuanian Baltic Sea Coast
Fig. 4. Annual intensity dynamics of the Lesser black-backed Gull (Larus fuscus) spring migration on the Lithuanian Baltic Sea coast
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