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

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 1 444 enregistrements.

1 tableurs de données dextension existent également. Un enregistrement dextension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre denregistrements dans chaque tableur de données dextension est illustré ci-dessous.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

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

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Azov-Black Sea Ornithological Station. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 1e4e2b3e-368d-4d18-9536-b9fcdfdab12f.  Azov-Black Sea Ornithological Station publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du Participant Node Managers Committee.

Mots-clé

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

Contacts

Couverture géographique

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.

Couverture taxonomique

The dataset includes counts of birds (Aves).

Couverture temporelle

Données sur le projet

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.

Les personnes impliquées dans le projet:

Méthodes déchantillonnage

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).

Description des étapes de la méthode:

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.

Citations bibliographiques

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

Métadonnées additionnelles