Bat occurrences from Bulgaria

資料紀錄

此資源出現紀錄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 10,203 筆紀錄。

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。:

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

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 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 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: 6b2a3042-db4f-4bf2-85a4-0301654a083a。  National Museum of Natural History, Bulgarian Academy of Sciences 發佈此資源，並經由GBIF Bulgaria同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence; bat; Chiroptera; Bulgaria; Observation

聯絡資訊

地理涵蓋範圍

Bulgaria

分類群涵蓋範圍

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.

時間涵蓋範圍

計畫資料

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).

參與計畫的人員:

取樣方法

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.

方法步驟描述:

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.

引用文獻

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

額外的詮釋資料