Bird counts in Northwestern Azov Sea Subregion in March-July 2019

Evento de muestreo
Última versión publicado por Azov-Black Sea Ornithological Station el nov 14, 2024 Azov-Black Sea Ornithological Station
Fecha de publicación:
14 de noviembre de 2024
Licencia:
CC-BY 4.0

Descargue la última versión de los datos como un Archivo Darwin Core (DwC-A) o los metadatos como EML o RTF:

Datos como un archivo DwC-A descargar 1.444 registros en Inglés (337 KB) - Frecuencia de actualización: desconocido
Metadatos como un archivo EML descargar en Inglés (26 KB)
Metadatos como un archivo RTF descargar en Inglés (20 KB)

Descripción

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) and monthly Breeding Birds Surveys (BBS) along car routes from March to July 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 84 days: March 25 – May 31 (68 days), June 23–30 (8 days), and July 23–30 (8 days). Dataset contains 21758 records on 207 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)). The dataset was published with the help of relevant experts of NGO "Ukrainian Nature Conservation Group" in order to support Ukrainian scientists and the global process of saving of collected data on biodiversity of Ukraine.

Registros

Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 1.444 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

Event (core)
1444
Occurrence 
21758

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

Andryushchenko Y, Bashta A, Bronskov O, Busel V, Chernychko R, Davidenko I, Deviatko T, Diadicheva O, Formanyuk O, Gavris G, Haidash O, Kozodavov S, Koshelev O, Mezinov O, Panchenko P, Panchuk O, Popenko V, Vetrov V, Moskalenko Y (2024). Bird counts in Northwestern Azov Sea Subregion in March-July 2019. Version 1.3. Azov-Black Sea Ornithological Station. Samplingevent dataset. https://ukraine.ipt.gbif.no/resource?r=birdcountszaporizhzhia2019&v=1.3

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Azov-Black Sea Ornithological Station. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 1e4e2b3e-368d-4d18-9536-b9fcdfdab12f.  Azov-Black Sea Ornithological Station publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Samplingevent; 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

Contactos

Yuriy Andryushchenko
Andriy-Taras Bashta
Oleksandr Bronskov
Viktor Busel
  • Originador
UA
Raisa Chernychko
Igor Davidenko
Tatiana Deviatko
Olena Diadicheva
Oleh Formanyuk
Gleb Gavris
Oleksandr Haidash
Sergiy Kozodavov
Oleksandr Koshelev
  • Originador
UA
Oleksandr Mezinov
Pavel Panchenko
Olexandr Panchuk
  • Originador
  • Punto De Contacto
UA
Volodymyr Popenko
  • Originador
UA
Vitalij Vetrov
  • Originador
UA
Yurii Moskalenko
  • Proveedor De Los Metadatos
  • Punto De Contacto
Oleksii Marushchak
  • Custodio De Los Datos
junior researcher
I. I. Schmalhausen Institute of Zoology NAS of Ukraine
Vul. B. Khmelnytskogo, 15
01030 Kyiv
UA
+380964882670

Cobertura geográfica

The dataset covers the birds' counts within Zaporizhzhia region of Ukraine. 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.

Coordenadas límite Latitud Mínima Longitud Mínima [-90, -180], Latitud Máxima Longitud Máxima [90, 180]

Cobertura taxonómica

The dataset includes counts of birds (Aves).

Reino Animalia
Filo Chordata
Class Aves

Cobertura temporal

Fecha Inicial / Fecha Final 2019-03-25 / 2019-07-30

Datos del proyecto

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.

Título "Open Science: Collaboration between Ornithologists from Lviv and Melitopol to Preserve Scientific Heritage." («Відкрита наука: співпраця орнітологів Львова і Мелітополя для збереження наукової спадщини»).
Fuentes de Financiación The project is supported by Charity Organisation “Charity Fondation ‘ Fondation of Strategic Changes’” (Благодійна організація «Благодійний Фонд Фундація стратегічних змін»).
Descripción del área de estudio The project covers the entire territory of Ukraine.

Personas asociadas al proyecto:

Andriy Bokotey

Métodos de muestreo

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. Breeding birds were counted along vehicular transects (BBS) once in March, April, and May, assessing species composition and abundance across different habitats (with route lengths specified in the sampleSizeValue field). For each route, a centroid was determined using QGIS software, with its coordinates listed in the fields decimalLatitude and decimalLongitude. The spatial uncertainty value for route-based surveys (coordinateUncertaintyInMeters) was set as the maximum distance from the route’s centroid to its endpoints, rounded up to the nearest hundred meters. During the breeding season, breeding status was determined when possible (listed in the occurrenceRemarks field) following the codes from the European Breeding Bird Atlas 2 (2020). All observations across survey types were conducted using binoculars (8-12x magnification) and spotting scopes (30-60x magnification).

Área de Estudio Point counts were conducted at a network of designated sites in 2019 on a daily basis during the following periods: March 25 to May 31, June 23 to June 30, and July 21 to July 30. 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, fog, or snowfall). The time of observations at each point varied from day to day to obtain data on bird activity at different times of day. The dataset was published with the help of relevant experts of NGO "Ukrainian Nature Conservation Group" in order to support Ukrainian scientists and the global process of saving of collected data on biodiversity of Ukraine.
Control de Calidad 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.

Descripción de la metodología paso a paso:

  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, determining the length of routes, their centroids, and the maximum distance from the centroids to the ends of the respective routes.
  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.

Referencias bibliográficas

  1. 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
  2. Keller, V., Herrando, S., Voříšek, P., et al. 2020. European Breeding Bird Atlas 2: Distribution, Abundance, and Change. European Bird Census Council & Lynx Edicions, Barcelona. pp. 1–967. https://ebba2.info/about/methodology

Metadatos adicionales

Identificadores alternativos 1e4e2b3e-368d-4d18-9536-b9fcdfdab12f
https://ukraine.ipt.gbif.no/resource?r=birdcountszaporizhzhia2019