{"key":"445feb12-fd16-4990-85ba-a29f6f4e820c","installationKey":"d0e2b9a9-8496-4959-8cba-a7fea22537eb","publishingOrganizationKey":"2e31dce2-123d-4c3b-8773-8f5e050cc22c","doi":"10.15468/re56gk","external":false,"numConstituents":0,"type":"SAMPLING_EVENT","subtype":"OBSERVATION","shortName":"Mid-winter waterbird census of the Azov-Black Sea region in 2018-2022","title":"The results of synchronous mid-winter waterbird census of the Azov-Black Sea region (Ukraine) in 2018-2022","description":"\n            This dataset is based on data obtained during the synchronous mid-winter counts of waterbirds in the Azov–Black Sea region of Ukraine, as well as at specific sites along the Dnipro River (from Kyiv Region to Zaporizhzhia Region) and at certain wetlands near the city of Zhytomyr, conducted in the winter seasons of 2017/2018, 2018/2019, 2019/2020, 2020/2021, and 2021/2022 within the framework of the International Waterbird Census (IWC) and the Regional Ornithological Monitoring (ROM) programmes. It comprises 3,471 records of more than 1.4 million individuals, predominantly waterbirds, representing 75 species, 18 families, and 11 orders. The dataset is based on data published in issue 16 of the Bulletin ROM (Bulletin ROM. Issue 16. Results of International Waterbird Census (IWC) in Ukraine in 2018–2022 / Edited by Yu. O. Andryushchenko, V. A. Kostiushyn. – 2023. – 72 p.). The Azov–Black Sea region lies within the steppe zone of southern Ukraine. It plays an important role for bird migration and wintering, particularly for waterbirds, as the combination of natural habitats provides favourable conditions for resting and feeding. The region stretches for about 800 km. Within its boundaries there are 23 wetlands of international importance with a total area of 767,396.3 ha, of which 19 sites were covered, to a greater or lesser extent, during the mid-winter counts in 2018–2022.\n        ","language":"eng","citation":{"text":"Andryushchenko Y, Kostiushyn V, Moskalenko Y, Vinokurova S, Chernichko J, Bronskov O, Chernichko R, Davydenko I, Dolinnyi V, Domashevskiy S, Dyadicheva O, Gavrilenko V, Gorlov P, Grishchenko V, Gutarin O, Haidash O, Illichov A, Kapinos S, Kolomyichuk V, Kozodavov S, Litvintsova Y, Mezinov О, Mykytynets G, Nazilin S, Panchuk O, Petrovich Z, Pilyuga V, Plyusch S, Podorozhnyi S, Poluda A, Popenko V, Pylypyuk K, Redinov K, Rusev I, Rusev R, Sidorenko A, Siokhin V, Starovoitova T, Tomashpolskyi N, Veselskii M, Yablonovska-Grishchenko E, Yakovliev M (2025). The results of synchronous mid-winter waterbird census of the Azov-Black Sea region (Ukraine) in 2018-2022. Azov-Black Sea Ornithological Station. 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This means that despite rocket attacks, close to the front line, lack of light... Lviv, Kharkiv, Odesa and Melitopol continue to work on publication of scientific archives of the West-Ukrainian Ornithological Society and Azov-Black Sea Ornithological Working Group. Both organizations registered with GBIF and our operators have already handed over the first sets data for publication. And this means that more than 10,000 verified records of bird registrations will appear with open access."},"samplingDescription":{"studyExtent":"The entire Azov-Black Sea region is divided into 27 accounting areas, each of which is coordinated by one coordinator. Accounting areas that are too large can be divided into smaller fixed parts. Data for each accounting area are entered into a standard electronic form. During surveys, coordinates are determined for birds that are in clusters. Polyspecies accumulation is registered in the case when the number of at least one species exceeds the determined minimum number for this species. Instead, all other birds that were found in the recording area were assigned to the coordinates of the centroid of this area. The coordinates of the plot centroid were determined in the free software - Quantum GIS (QGis). The \"coordinateUncertaintyInMeters\" field specifies the distance from the centroid of the accounting area to its farthest border.","sampling":"The survey of the coastline is carried out by motor-cars along the water body, stopping at open, most well-visible water areas and searching them through telescopes. In case of bad roads (as a result of precipitation and high temperatures) it is desirable to move along hard surface roads in parallel with the coastline and make short trips to the water body for its searching. To cover the water body with counts the most completely, these trips must be done with such frequency to overlap the scanning field of one part of the water area with another. All wetland birds, as well as white-tailed eagles and harriers, are counted during the census. The boundaries of the accounting areas include not only the immediate wetland, but also the territory adjacent to it. In case of an incomplete survey of the wetland, the authors of the observations displayed the surveyed territory on the map. Census in one wetland should be carried out for no more than 5 days in the period January 15-24. Some counts were carried out outside the specified time frame, which in most cases was due to weather conditions. Observations were carried out mainly with the help of 10-12x binoculars, photography was carried out whenever possible. Geographical locations were indicated by GPS-navigator in decimal degrees according to the WGS84 system. The research methodology is described in more detail in the work: Andryushchenko Yu. O. Unification of methods of mid-winter counts in the Azov-Black Sea region of Ukraine / ROM Bulletin: Results of mid-winter counts of waterfowl in the Azov-Black Sea region of Ukraine in 2006: adaptation of IWC methods and their approval / Edited by H. V. Fesenko. — 2009. — 4. — P. 4-12., which can be found at the link: http://mail.izan.kiev.ua/ROM/rom4.pdf. The nomenclature follows the Catalog of Life.","qualityControl":"The authors of the dataset are fully responsible for the quality of the published data.","methodSteps":["Conducting field surveys within the previously selected plot/wetland/land area according to the standard method, counting birds and identifying species simultaneously.","Transferring the results for each wetland into electronic spreadsheets and creating maps of the recorded observations.","Creating a summary table of counts for all wetlands.","Importing the summary spreadsheet into OpenRefine to identify and correct errors, standardising species names according to the nomenclature used by GBIF, and converting the data to the DarwinCore standard.","Importing the processed data into an MS Access database and generating event and occurrence tables."]},"countryCoverage":[],"collections":[],"dataDescriptions":[],"dataLanguage":"eng","acknowledgements":"We are sincerely grateful to the NGO \"Ukrainian Nature Conservation Group\" for their support. We thank the Armed Forces of Ukraine for the opportunity to conduct scientific research in wartime!","pubDate":"2025-09-16T00:00:00.000+00:00","maintenanceUpdateFrequency":"NOT_PLANNED","maintenanceDescription":"No other updates of the dataset are planned unless there are corrections of technical mistakes found in the future.","license":"http://creativecommons.org/licenses/by/4.0/legalcode","dwca":{"coreType":"http://rs.tdwg.org/dwc/terms/Event","extensions":["http://rs.tdwg.org/dwc/terms/Occurrence"],"modified":"2026-07-11T16:30:04.332+00:00"},"approximateCounts":{"occurrenceCount":3471}}