Published on 01 January 2023 |

Version 1.0

Bats acoustic raw data obtained in Komul, Xinjiaing, China

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Dong, Pei-Pei

Description

Echolocation acoustic signature identification is an ideal non-invasive field survey method for chiropteran diversity. Located in the far easternmost region of the Xinjiang Uyghur Autonomous Region where covers one sixth of China's land territory, Komul city includes a variety of landscapes, including typical mountains, plateaus, plains, and the Gobi Desert, which is home to a number of terrestrial animals. By gathering bat echo sound waves between July and September 2022 and during April 2023, we investigated bat species diversity in Komul, Xinjiang, China. As a result, we identified a total of 24 species of bats belonging to two families and ten genera, of which Myotis is the dominant genus with seven species, followed by Pipistrellus with four species, and both Eptesicus and Nyctalus come after with three species. 16 of these species are novel to Xinjiang. The altitudinal distribution of these species is 500m to 2200m above sea level, and their horizontal distribution includes most of the surveyed region, e.g., Barkol Kazakh Autonomous County, Arturk County, and Ivirghul District. From a conservation perspective, three species (Miniopterus schreibersii、Myotis capaccinii and Nyctalus lasiopterus) and two species (Barbastella barbatellus and Myotis dasycneme) are listed as "vulnerable" and "near threatened" in the IUCN Red List of Threatened Species, respectively. Rest of which are of least concern. Our findings provide a valuable reference for future ecological, genetic, and conservational studies of bats in China, especially in Xinjiang.

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Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

15%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Harvard Dataverse

Assigned Domain

Subfield

Ecology, Evolution, Behavior and Systematics

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

100%

Source

Open Alex

Keywords

Medicine, Health and Life Sciences

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00