説明
The database includes 58 records of bird encounters within the National Natural Park Tuzlivsky Lagoons and its surroundings - the eastern part of the lake Sasyk (in the vicinity of the village Trapivka, Bilhorod-Dnistrovsky district). The records were carried out as part of the traditional monitoring of nesting birds. Attention was primarily paid to waterfowl and near-water bird species. Species that could potentially nest on the site, but their nesting is unproven, were also recorded. Birds that did not nest, but that formed clusters, were also registered. Due to the fact that the connection of the estuaries with the sea was unstable, the water level in the Tuzliv estuaries was low, large areas dried up and became inaccessible for nesting. A similar trend has been observed in the region for several years.
データ レコード
この オカレンス(観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、58 レコードが含まれています。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
Yakovliev M, Bronskov O (2023): Findings of birds (Aves) in the National Natural Park Tuzlivsky Lagoons and its surrounding area (Ukraine) during the nesting period of 2022. v1.0. Ukrainian Nature Conservation Group (NGO). Dataset/Occurrence. https://ukraine.ipt.gbif.no/resource?r=nestingbirdsodesa1&v=1.0
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は Ukrainian Nature Conservation Group (NGO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 5468b347-243a-433b-9c00-b88534ad2922が割り当てられています。 Participant Node Managers Committee によって承認されたデータ パブリッシャーとして GBIF に登録されているUkrainian Nature Conservation Group (NGO) が、このリソースをパブリッシュしました。
キーワード
Occurrence; Odesa region; Ukraine; ornitofauna; Aves; birds; avifauna; faunistics; nesting; breeding; Tuzly Lagoon; National Natural Park Tuzlivsky Lagoons; conservation; biodiversity.; Observation
連絡先
- メタデータ提供者 ●
- 最初のデータ採集者 ●
- 連絡先
- 最初のデータ採集者
- プログラマー
地理的範囲
The dataset consists of records from Odesa administrative region of Ukraine.
座標(緯度経度) | 南 西 [45.205, 28.048], 北 東 [48.221, 31.311] |
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生物分類学的範囲
The dataset consists exclusively of records of birds (Aves).
Kingdom | Animalia |
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Phylum | Chordata |
Class | Aves |
Order | Accipitriformes, Anseriformes, Charadriiformes, Ciconiiformes, Falconiformes, Gruiformes, Passeriformes, Pelecaniformes, Podicipediformes, Suliformes |
時間的範囲
開始日 | 2022-06-15 |
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プロジェクトデータ
The results of the project will be a backbone for establishment of new protected areas and Emerald Network sites, as well as for development of management plans for already existing protected areas. As a result, we will prepare documents for all the important sites identified and provide them directly to the Ministry of Environmental Protection of Ukraine. Our gathered data on the occurrences of protected species will facilitate the establishment of new protected areas.
タイトル | Open biodiversity data: serving Nature Conservation in Ukriane |
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プロジェクトに携わる要員:
- 連絡先
収集方法
Inspection of open areas and water areas is carried out with the help of 10x binoculars and a 30-60x telescope. The coordinates of each encounter were recorded only in individual cases, instead, each bird encountered was assigned to a certain accounting area of arbitrary shape, but recorded in GIS.
Study Extent | Both road and foot routes were conducted on the specified territories. On the territory of the wetlands, the coast along the reservoir is surveyed with stops opposite the open areas of the water area, which are well visible. The coastal strip along the reservoirs is also surveyed. Nesting birds are considered to be birds with nests, with chicks or those that have shown nesting behavior. |
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Quality Control | The authors are fully responsible for the quality of data provided within the dataset. |
Method step description:
- COnducting of field survey.
- Visual identification of the species and counting.
- Georeferencing.
- Organizing of dataset according to Darwin Core standards.