Hungarian Natural History Museum Asian Bat Database

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 594 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Görföl T, Csorba G (2020): Hungarian Natural History Museum Asian Bat Database. v1.4. Southeast Asian Bat Conservation Research Unit. Dataset/Occurrence. https://cloud.gbif.org/bifa/resource?r=bifa04-24-13&v=1.4

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Southeast Asian Bat Conservation Research Unit. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: ce93b7a1-6103-45fc-9858-159dae55ef7d.  Southeast Asian Bat Conservation Research Unit publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF-US.

Keywords

Occurrence; Occurrence

Contacts

Geographic Coverage

Currently include samples from Malaysia, Cambodia, Viet Nam, and SW China (Yunnan Province)

Taxonomic Coverage

All bats were identified to species. at least 100 species belonging to 18 genera of 8 families of bats (Mammalia: order Chiroptera) are reported. However, there are a few with identification uncertainty due to the restriction of taxonomy dilemma in the study area

Project Data

With 380 species, bats make up nearly 40% of Southeast Asia’s mammal species but have received limited attention in biodiversity studies. To redress this, Southeast Asian Bat Conservation Research Unit (SEABCRU, www.seabcru.org/) developed a database for bat locality data across SE Asia. The database is a full implementation and designed to push new records to GBIF. The database has c. 40K records including cleaned and manually georeferenced GBIF records, data from literature, museums and field notes. Our prior research shows that SE Asian bat data in open-source resources are strongly biased taxonomically, spatially, and ecologically with consequences for models that underpin conservation policy. Of note is the lack of data for open-space insectivorous species that forage in non-forested habitats. Despite comprising over 30% of SE Asian bat diversity, these species are hard to record using conventional methods. However, occurrence data for these bats can be generated through acoustic sampling, but this requires a dedicated call database. In our review, call descriptions from over 40% of the 270 echolocating species have been reported in literature, but none of the recordings are accessible and many of the species occurrences attached are not published. The Hungarian Natural History Museum (HNHM, www.nhmus.hu) has recently received government support to develop the Asian Bat Call Database (ABCD). To fill current gaps in bat diversity in GBIF, we will (1) integrate the occurrence and acoustic databases to capture species occurrence data represented by acoustic recordings, (2) train researchers to assemble and format existing data following the Darwin Core standard through workshops, webinars and development of tools, (3) publish completed datasets to GBIF. We are confident that with additional support from GBIF, we could properly address the issues listed through the proposed activities and elevate the impact of GBIF network to biodiversity research in Southeast Asia

The personnel involved in the project:

Sampling Methods

Bats were captured and then released after reference calls were taken using a digital audio recorder. Some individuals were kept as voucher specimen for taxonomy study purposes.

Method step description:

1. Species data were either extracted from sound files recorded from captured animals or/and capture records in the field note.

Additional Metadata