Bat occurrences from Bulgaria

データ レコード

この オカレンス（観察データと標本) 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、10,203 レコードが含まれています。

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。:

Toshkova N, Brosens D, Stoeva E, Deleva S, Zhelyazkova V, Acosta-Pankov I, Goranov S, Dundarova H, Lakovski K, Genova O, Stoicheva S, Krushkova V, Ivanov A, Mechev A, Hubancheva A, Pavlova A, Metcheva R, Popov V, Beltcheva M, Pandurski I, Kisimov T, Kolev M, Kirov K, Karaganchev A, Karadakov V, Trendafilova S, Pavlova B, Yankov L, Stoyanov S, Yankov Y, Atanasov T, Georgieva T, Borisov I, Dilovski G, Dicheva A, Titorenkova S, Aleksandrova I, Delchev S, Sirakov K, Bradley I, Pazderkov D, Atanasov V, Zhelev P, Dechev A, Dimitrova K, Koseva K, Petrov B (2025). Bat occurrences from Bulgaria. Version 1.5. National Museum of Natural History, Bulgarian Academy of Sciences. Occurrence dataset. https://cloud.gbif.org/eca/resource?r=bat-occurrences-bulgaria&v=1.5

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 National Museum of Natural History, Bulgarian Academy of Sciences。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 6b2a3042-db4f-4bf2-85a4-0301654a083aが割り当てられています。   GBIF Bulgaria 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National Museum of Natural History, Bulgarian Academy of Sciences が、このリソースをパブリッシュしました。

キーワード

Occurrence; bat; Chiroptera; Bulgaria; Observation

連絡先

地理的範囲

Bulgaria

生物分類学的範囲

This dataset covers organisms belonging to the order Chiroptera (bats). It includes occurrence records of various bat species found in Bulgaria. In Bulgaria, bats are represented by four families: Vespertilionidae, Rhinolophidae, Miniopteridae, and Molossidae. The family Vespertilionidae is the most diverse and includes 26 species from several genera, such as Myotis, Barbastella, Eptesicus, Hypsugo, Nyctalus, Pipistrellus, Plecotus, and Vespertilio; the family Rhinolophidae, represented by 5 species; Miniopteridae represented by a single species; and Molossidae represented by one species.

時間的範囲

プロジェクトデータ

The region of the Balkans is identified as a European biodiversity hot spot. The Balkans include part of Croatia, the whole of Bosnia and Herzegovina, Albania, Kosovo, Montenegro, North Macedonia, Greece, Bulgaria and the European part of Turkey. The Balkans is part of the Mediterranean Key Biodiversity Area (KBA). However, the biodiversity in the Balkans is threatened. More and more Balkan countries open their economies and become more accessible and attractive for large international investors and tourists. This causes major landscape changes. Agriculture is intensifying, infrastructure is being modernised and expanding at an accelerated pace, hydroelectric power stations in rivers are build, etc. Reliable data on species occurrence is needed for evidence-based conservation and management and further research on the biodiversity in the Balkans. Unfortunately, only a small amount of the geographically referenced species occurrence data from the Balkans is available. Baseline data on many groups like mammals, insects, plants, reptiles and amphibians are absent. With this project, we aim to mobilise data from the Balkans. Species specialists from five Balkan countries will be trained in data mobilisation. By promoting, communicating, and training researchers, the project will demonstrate the importance of FAIR data availability, aiming at mainstreaming biodiversity data publication in the region. The target is publishing more than 100.000 records, which will increase the number of published data on mammals, birds, insects, fish, reptiles and amphibians by at least 10%. The results of this project will also be published in Biodiversity Data Journal (Pensoft Publishers).

プロジェクトに携わる要員:

収集方法

The dataset was compiled using a variety of sampling methods. The primary method involved direct observation of bats at underground and above-ground roosts, including abandoned buildings, bat boxes, and natural structures. In addition, bats were captured using mist nets and harp traps, particularly during field surveys at roost entrances, active foraging areas, and flying corridors. Acoustic monitoring was also employed, using both passive (stationary detectors) and active (manual recording) techniques to detect species presence in areas where physical capture was not feasible or appropriate. All bat calls were manually identified by experts to ensure reliable species-level identification. Additional data were collected from two bat rehabilitation centres, as well as from deceased individuals and bat skulls identified through museum and field collections. All data were collected, georeferenced, and organized by the authors. Subsequent data cleaning and post-processing were conducted to ensure taxonomic accuracy, remove duplicate records, and standardise geographic information in accordance with GBIF data publishing standards.

Method step description:

1. 1. Data collection: оccurrence data were gathered from multiple sources, including field surveys, acoustic monitoring, roost inspections, bat rehabilitation centers, deceased specimens, and literature reviews. All observations were recorded with associated metadata where available (e.g., date, locality, habitat type, method). 2. Species identification and validation: species identifications were performed or verified by qualified bat researchers. Acoustic recordings were reviewed and manually identified using reference call libraries. 3. Data digitisation: historical and literature-based records were digitised manually. Field data were entered into structured digital formats using spreadsheets and databases. 4. Georeferencing: all locality information was georeferenced using GPS data or estimated based on place names and mapped features. Coordinates were assigned in decimal degrees and validated using GIS tools. 5. Data cleaning and standardization: data were reviewed for errors, including invalid species names, date inconsistencies, and coordinate anomalies. Taxonomic names were standardized according to accepted references. Duplicate records were removed. 6. Formatting for GBIF: the cleaned dataset was structured according to the Darwin Core standard, ensuring compliance with GBIF formatting requirements. 7. Final review and publishing: the dataset underwent a final validation and quality control check before being published to the GBIF.

書誌情報の引用

1. Benda, P., Ivanova, T., Horáček, I., Hanák, V., Červený, J., Gaisler, J., Georgieva, A., Petrov, B., & Vohralík, V. (2003). Bats (Mammalia: Chiroptera) of the eastern Mediterranean. Part 3. Review of bat distribution in Bulgaria. Acta Societatis Zoologicae Bohemicae, 67(4), 245-357.
2. Deleva, S., Kolev, N., Ivanov, A., Marinova, P., Petkov, N., & Natchev, N. (2025). Biodiversity Surveys Before Residential Building Renovations in Bulgaria with Emphasis on the Impact and Conservation of Building-Dwelling Fauna. Ecologies, 6(1), 22. https://doi.org/10.3390/ecologies6010022
3. Dundarova, H., & Popov, V. V. (2024). Bats at an Altitude above 2000 m on Pirin Mountain, Bulgaria. Animals, 14(1), 126. https://doi.org/10.3390/ani14010126
4. Popov, V. V. (2018). Bats in Bulgaria: Patterns of species distribution, richness, rarity, and vulnerability derived from distribution models. In Bats. IntechOpen. DOI: 10.5772/intechopen.73623

追加のメタデータ