Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2021

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 21 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。:

Moskalenko Y, Pliushch S (2025). Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2021. Version 1.1. Black Sea Biosphere Reserve of National Academy of Sciences of Ukraine. Samplingevent dataset. https://cloud.gbif.org/eca/resource?r=bsbr-yk-birdcounts-2021&v=1.1

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 Black Sea Biosphere Reserve of National Academy of Sciences of Ukraine。 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: c1a689d4-41f4-4ea6-8811-a7465ad2a66a。  Black Sea Biosphere Reserve of National Academy of Sciences of Ukraine 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; birds; Aves; ornithofauna; biodiversity; wetlands; counts; 2021; breeding period; Black Sea Biosphere Reserve; Northern Black Sea region; Observation

聯絡資訊

地理涵蓋範圍

The Yagorlytsky Kut Section of the Black Sea Biosphere Reserve (covering an area of 5,540 ha) is located in the western (distal) part of the eponymous peninsula, situated between the Yagorlytska Bay and the eastern part of the Tendrivska Bay. It forms part of the Ramsar Wetlands of International Importance “Tendrivska Bay” and “Yagorlytska Bay”. Within this section, the ecosystems of the Northern Black Sea region have been preserved in a natural state. The complex soil cover, along with variations in moisture and salinity, determines the diverse structure of the peninsula’s natural vegetation. Steppe vegetation is interspersed with lowlands covered in moisture-loving plant communities and extensive areas of saltmarshes.

分類群涵蓋範圍

無相關描述

時間涵蓋範圍

計畫資料

The project is aimed on collecting, digitalization and preservation of data on biodiversity records in Ukraine.

參與計畫的人員:

取樣方法

Pedestrian transect bird counts were conducted along 6-kilometre transects. Each kilometre segment of a transect was surveyed separately. During the survey, all birds (both resident and those flying across the transect) were counted within a 600-metre-wide strip (300 metres on each side of the transect line). It should be noted that some species were also recorded beyond the standard transect width — up to 1,000 metres on each side of the line — including flying flocks of Calidris alpina (Linnaeus, 1758) and groups or individual Merops apiaster Linnaeus, 1758. Certain large or soaring species (Circus aeruginosus (Linnaeus, 1758), Corvus frugilegus Linnaeus, 1758, Cygnus olor (J.F.Gmelin, 1789), Pelecanus onocrotalus Linnaeus, 1758, Phalacrocorax carbo (Linnaeus, 1758), Haliaeetus albicilla (Linnaeus, 1758)) were observed up to 2,000 metres from the transect line. Consequently, the spatial uncertainty of coordinates for these species is greater than that indicated in the coordinateUncertaintyInMeters field and is approximately 1,100 metres and 2,100 metres respectively. The map and the line shapefile with the transect scheme are available in the Zenodo repository at the following link: https://doi.org/10.5281/zenodo.15151079. The attribute table of the transect line shapefile contains identifiers (matching those in the dataset) of the transects and their individual one-kilometre segments, as well as the coordinates of the start and end points of each segment. Binoculars (8x magnification) were used during the surveys.

方法步驟描述:

1. Conducting bird counts along the transect, with bird observations recorded separately for each one-kilometre segment.
2. Transferring collected survey data into electronic spreadsheets.
3. 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.
4. Importing data into MS Access database and generating events and occurrence tables.

額外的詮釋資料