The database includes records of 251 bird species and 5 subspecies in 58 families and 21 orders in the Northern Azov region. The avifauna was surveyed mainly in the Meotyda National Nature Park located in the south of the Donetsk region of Ukraine and its vicinity. The Northern Azov region is located in the south of the steppe zone of Ukraine on the coast of the Sea of Azov and includes the Azov Upland and the Azov Lowland. This is mainly an agricultural area and about 80% of it is plowed. Only about 12% of the studied area remains in a more or less natural state. The territory of the park includes 21301.2147 hectares of land, including approximately 14400 hectares of adjacent shallow water areas of the Sea of Azov, 3800 hectares of wetlands, 1800 hectares of steppes and other grasslands, 500 hectares of artificial forests. There are 2 Ramsar wetlands situated in the area, where the surveys were conducted: "Bilosarais'ka Bay & Bilosarais'ka Spit" and "Kryva Bay & Kryva Spit". Some surveys were conducted in the south of Zaporizhzhia region, including those territories within the Pryazovskyi National Nature Park and the Ramsar wetland “Berda River Mouth & Berdians'ka Spit & Berdians'ka Bay”.
Enregistrements de données
Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 31 411 enregistrements.
Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.
Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.
Les chercheurs doivent citer cette ressource comme suit:
Bronskov O (2022): Findings of birds (Aves) in the Northern Azov region (Ukraine) during 2004-2022. v1.2. Ukrainian Nature Conservation Group (NGO). Dataset/Occurrence. https://ukraine.ipt.gbif.no/resource?r=pryazoviabirdsbronskov1&v=1.2
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est Ukrainian Nature Conservation Group (NGO). Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.
Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 140c6e90-abbc-454f-b529-0165a1571721. Ukrainian Nature Conservation Group (NGO) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.
Occurrence; birds; Aves; Azov; Northern Azov; Donets'k region; Zaporizhzhia region; Ukraine; biodiversity; migration; nests; avifauna; ornithology; zoology; Sea of Azov; Meotyda National Nature Park; registrations; observations; steppe; wetlands; Observation
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The dataset consists of findings registered within the southern districts of Donetsk and Zaporzhizhia regions (Oblast’) of Ukraine.
|Enveloppe géographique||Sud Ouest [46,252, 34,206], Nord Est [49,236, 39,056]|
The dataset consists of exclusively findings of birds (Aves).
|Date de début / Date de fin||2004-10-19 / 2022-02-14|
The coordinates of each registration were recorded only in some particular cases. In vast majority of registrations each bird encountered was assigned to a certain accounting area of any shape, but recorded and visualized using GIS-software. The configuration of the accounting areas generally coincided with certain landscape features that are characterized by more or less homogeneous natural and anthropogenic conditions. The areas considered too large were divided into parts regarding the convenience of bird accounting. The area of accounting plots ranged from 8 to 3,500 hectares and averages 510 hectares. The coordinates of the site centroid were determined in the free QGIS software. Selective bird counts were conducted on hiking trails. The dataset also includes some random observations of birds that may be valuable for the inventory of avifauna of the region during the study period. The information provided in the database is not comprehensive. Observations were carried out with the help of 10-12-X binoculars. If possible, photographs were taken. Geographical locations were indicated by GPS-navigator in decimal degrees according to the WGS84 coordinate system. The route was recorded using various free mobile applications, which, if necessary, allows to calculate the number of birds encountered at certain length of the route within each accounting area. The nomenclature follows the Catalog of Life.
|Etendue de l'étude||Most of the material was collected during bird counting while driving at low speed and stops of various durations. Stoppages made it possible to determine accurately the species (subspecies, morphs) of birds, their number, age, and sex, as well as to maximum observation of the area, especially in conditions of poor visibility. All species of birds at any distance were registered. The author of this dataset cooperated with Andriushchenko Yu. O., Bronskova O. M., Bui H. O., Chaika M. O., Molodan H. M., Mosin H. H., Popenko V. M., Pylypenko D. V., Shabanov O. V. and my other colleagues who participated in separate bird counts. This dataset was prepared and published with the help of Olin gGmbH foundation in order to save the scientific data on Ukrainian biodiversity from scientists who had to relocate from their homeland as a result of war (Russian invasion to Ukraine). Olin gGmbH is a funding organisation for environmental protection and conservation, that supports environmental and sociopolitical organisations.|
|Contrôle qualité||The author is fully responsible for the quality of data provided within the published dataset.|
Description des étapes de la méthode:
- Conducting of field surveys.
- Visual, audial and other registrations of birds.
- Indentification of species (subspecies, genus, family, morph).
- GPS-tracking, counting, georeferencing.
- Organizing of a dataset according to Darwin Core standards.