說明
The dataset contains information on the results of daily bird counts conducted at 34 stationary Vantage Points (VP), as well as weekly counts at 9 Point Counts (PC) from September to November 2019 (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. Daily surveys were conducted over 80 days: September 2 – November 20. Dataset contains 18728 records on 205 species of birds. 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)).
資料紀錄
此資源sampling event的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 1,379 筆紀錄。
亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
Andryushchenko Y, Atemasov A, Bronskov O, Chernychko R, Davidenko I, Deviatko T, Diadicheva O, Domashevsky S, Formanyuk O, Gavris G, Grishchenko V, Haidash O, Koshelev O, Koshelev V, Panchuk O, Popenko V, Redinov K, Vetrov V, Yablonovska-Grishchenko E, Yakovliev M, Moskalenko Y (2024). Bird counts in Northwestern Azov Sea Subregion in September-November 2019. Version 1.0. Azov-Black Sea Ornithological Station. Samplingevent dataset. https://ukraine.ipt.gbif.no/resource?r=birdscountszaporizhzhian2ndhalf2019&v=1.0
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 Azov-Black Sea Ornithological Station。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: c15c2d78-2e5c-4e7b-a1d2-3d03189803ee。 Azov-Black Sea Ornithological Station 發佈此資源，並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。
關鍵字
Samplingevent; Azov Sea; birds; Aves; ornithofauna; biodiversity; wetlands; counts; 2019; bird flights; number; flight directions; flight heights; wandering; migration; Azov-Black Sea Ornithological Station; Azov-Black Sea region; Observation
聯絡資訊
https://orcid.org/0000-0002-7731-1734
- 出處
- 出處
- 出處
- 出處
- 託管人
地理涵蓋範圍
The dataset covers the area of 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.
| 界定座標範圍 | 緯度南界 經度西界 [-90, -180], 緯度北界 經度東界 [90, 180] |
|---|
分類群涵蓋範圍
The dataset includes counts of birds (Aves).
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Aves |
時間涵蓋範圍
| 起始日期 / 結束日期 | 2019-09-02 / 2019-11-20 |
|---|
計畫資料
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.
| 計畫名稱 | "Open Science: Collaboration between Ornithologists from Lviv and Melitopol to Preserve Scientific Heritage." («Відкрита наука: співпраця орнітологів Львова і Мелітополя для збереження наукової спадщини»). |
|---|---|
| 經費來源 | The project is supported by Charity Organisation “Charity Fondation ‘ Fondation of Strategic Changes’” (Благодійна організація «Благодійний Фонд Фундація стратегічних змін»). |
| 研究區域描述 | The project covers the entire territory of Ukraine. |
參與計畫的人員:
取樣方法
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. 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
| 研究範圍 | Point counts were conducted at a network of designated sites in 2019 on a daily basis during the following period: September 2 – November 20. The majority of counts lasted for 3 hours. However, the duration of individual point counts could be shorter due to poor visibility conditions (such as rain or fog). The time of observations at each point varied from day to day to obtain data on bird activity at different times of day. |
|---|---|
| 品質控管 | The dataset was created by a team of professional ornitologists with a long term experience and international recognition. Additionally, the correctness of the information provided with the dataset was checked by an expert from NGO "Ukrainian Nature Conservation Group" - Oleksii Marushchak. |
方法步驟描述:
- Conducting censuses at specified points, 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).