Bird counts in the Northwestern Azov Sea Subregion in December 2019 — March 2020

サンプリング イベント
最新バージョン Azov-Black Sea Ornithological Station により出版 5月 2, 2025 Azov-Black Sea Ornithological Station
公開日:
2025年5月2日
ライセンス:
CC-BY 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 890 レコード English で (120 KB) - 更新頻度: unknown
EML ファイルとしてのメタデータ ダウンロード English で (21 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (17 KB)

説明

The dataset contains information on the results of bird counts conducted at 32 stationary Vantage Points (VP), as well as counts at 9 Point Counts (PC) and birds surveys along 27 car routes from December 2019 to March 2020 (research methods are detailed in the "Sampling" and "methodStep" sections). Data collection took place along the valleys of the Molochna and Malyi Utliuk rivers, as well as on the shores of the Molochna and Utliuk estuaries. Surveys were conducted over 65 days: December 9–22 (14 days), January 12–27 (16 days), February 6–25 (20 days), and March 8–22 (15 days). The dataset includes 7,170 records resulting from quantitative bird counts, encompassing 128 species and 18 taxa identified at the genus level. Field studies were conducted under individual civil law contracts for the development of scientific and technical products titled "Monitoring of the ornithofauna in the area of the proposed Azov Wind Power Plant aimed at assessing potential threats to birds from its operation", commissioned by "ENBITI UKRAINE LTD" (Kyiv) (ТОВ «ЕНБІТІ Україна» (Київ)).

データ レコード

この sampling event 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、890 レコードが含まれています。

拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Event (コア)
890
Occurrence 
7170

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。:

Andryushchenko Y, Atemasov A, Bronskov O, Domashevsky S, Panchuk O, Popenko V, Vetrov V, Moskalenko Y (2025). Bird counts in the Northwestern Azov Sea Subregion in December 2019 — March 2020. Version 1.0. Azov-Black Sea Ornithological Station. Samplingevent dataset. https://ukraine.ipt.gbif.no/resource?r=birdcensus2019_2020azov&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 Azov-Black Sea Ornithological Station。 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: 5ab86f6c-71aa-4d68-8e6b-b00f2c1081aa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Azov-Black Sea Ornithological Station が、このリソースをパブリッシュしました。

キーワード

Samplingevent; Azov Sea; birds; Aves; ornithofauna; biodiversity; wetlands; counts; 2019; 2020; bird flights; number; flight directions; flight heights; wintering; wandering; migration; Azov-Black Sea Ornithological Station; Azov-Black Sea region; Observation

連絡先

Yuriy Andryushchenko
  • 最初のデータ採集者
  • 連絡先
Andrey Atemasov
  • 最初のデータ採集者
UA
Oleksandr Bronskov
  • 最初のデータ採集者
UA
Sergey Domashevsky
  • 最初のデータ採集者
UA
Olexandr Panchuk
  • 最初のデータ採集者
UA
Volodymyr Popenko
  • 最初のデータ採集者
UA
Vitalij Vetrov
  • 最初のデータ採集者
UA
Yurii Moskalenko
  • メタデータ提供者
  • 連絡先
Oleksii Marushchak
  • Custodiansteward(保管者)
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
0964882670

地理的範囲

The geography of the conducted studies covers Northwestern Azov Sea Subregion – a submeridional strip up to 100 km long along the valley of the Molochna River, including the Molochna and Utliuk Limans (Melitopol district, Zaporizhzhia region). Landscapes: predominantly agricultural fields bordered by shelterbelts, with small river valleys added to the north and the slopes of marine limans valleys with remnants of natural habitats to the south.

座標(緯度経度) 南 西 [-90, -180], 北 東 [90, 180]

生物分類学的範囲

The dataset consists of records of avian species only.

Kingdom Animalia
Phylum Chordata
Class Aves

時間的範囲

開始日 / 終了日 2019-12-09 / 2020-03-22

プロジェクトデータ

With the help of the project two more publishers from Ukraine were registered. 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.

タイトル «Відкрита наука: співпраця орнітологів Львова і Мелітополя для збереження наукової спадщини»
ファンデイング The project is supported by Charity Organisation “Charity Fondation ‘Fondation of Strategic Changes’” (Благодійна організація «Благодійний Фонд Фундація стратегічних змін»).
Study Area Description The project covers the entire territory of Ukraine.

プロジェクトに携わる要員:

収集方法

The bird surveys were conducted according to the methodology recommended by Scottish Natural Heritage (Recommended Bird Survey Methods, 2017). Most surveys were carried out using point counts at a network of observation points (VP and PC), with coordinates specified in the fields decimalLatitude and decimalLongitude. Absolute bird counts were conducted from a stationary point within a 2000-meter survey radius over a specific time period (indicated in the sampleSizeValue field). At VP sites, species composition and bird numbers were recorded, along with flight data for target species — their altitudes, directions, duration, intensity, and more. At PC sites, species composition and bird numbers along the shores of the Molochnyi and Utlyuk estuaries were surveyed weekly. Route-based surveys were conducted along vehicle routes of varying lengths (from 3 to 11.8 km). Due to the complex configuration of the routes, the centroid, its coordinates, and the spatial uncertainty value for route-based surveys (coordinateUncertaintyInMeters) were determined as follows. In the QGIS environment, two-kilometre buffer polygons were created around the route lines, and centroids of these polygons were generated. The coordinates of these centroids were calculated and recorded in the fields decimalLatitude and decimalLongitude for the respective routes. The coordinateUncertaintyInMeters parameter was determined as the maximum distance from the centroid to the boundary of the buffer polygon, rounded to the nearest hundred metres. All observations across survey types were conducted using binoculars (8-12x magnification) and spotting scopes (30-60x magnification). References: Recommended Bird Survey Methods to Inform Impact Assessment of Onshore Wind Farms. 2017. Scottish Natural Heritage. pp. 1–36. https://www.nature.scot/doc/recommended-bird-survey-methods-inform-impact-assessment-onshore-windfarms

Study Extent Counts were conducted at a network of designated sites in December 2019 and January–March 2020 on a daily basis during the following periods: December 9–22, January 12–27, February 6–25, and March 8–22. Counts at Vantage Points (VP) lasted for 3 hours, while Point Counts (PC) lasted from 5 to 50 minutes. The time of observations at each point varied from day to day to obtain data on bird activity at different times of the day. Car-based surveys were conducted along routes ranging from 3 to 11.8 kilometres in length.
Quality Control The authors are responsible for the accuracy and correctness of the data published within this dataset.

Method step description:

  1. Conducting censuses at specified points or along routes, recording the data in field data sheets and on corresponding maps (noting flight directions of target species and locations of large bird aggregations on the maps).
  2. Transferring collected survey data into electronic spreadsheets.
  3. Creating a summary table with the survey data.
  4. Creating route maps in QGIS software, measuring the lengths of the routes, creating two-kilometre buffers around the routes, identifying the centroids of the buffers, and calculating the maximum distances from the centroids to the boundaries of the respective buffers.
  5. Importing the summary spreadsheet into OpenRefine to identify and correct errors, standardizing species names according to the nomenclature used by GBIF, and converting the data to the DarwinCore standard.
  6. Importing data into MS Access database and generating events and occurrence tables.

追加のメタデータ