Sampling flying bats with thermal and near-infrared imaging and ultrasound recording: Hardware and workflow for bat point counts

Kevin Darras*, Ellena Yusti, Andreas Knorr, Joe Chun Chia Huang, Agus Priyono Kartono, Ilham

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

Bat communities can usually only be comprehensively monitored by combining ultrasound recording and trapping techniques. Here, we propose bat point counts, a novel, single method to sample all flying bats. We designed a sampling rig that combines a thermal scope to detect flying bats and their flight patterns, an ultrasound recorder to identify echolocating bat calls, and a near-infrared camera and LED illuminator to photograph bat morphology. We evaluated the usefulness of the flight pattern information, echolocation call recordings, and near-infrared photographs produced by our sampling rig to determine a workflow to process these heterogenous data types. We present a conservative workflow to enable taxonomic discrimination and identification of bat detections. Our sampling rig and workflow allowed us to detect both echolocating and non-echolocating bats and we could assign 84% of the detections to a guild. Subsequent identification can be carried out with established methods such as taxonomic keys and call libraries, based on the visible morphological features and echolocation calls. Currently, a higher near-infrared picture quality is required to resolve more detailed diagnostic morphology, but there is considerable potential to extract more information with higher-intensity illumination. This is the first proof-of-concept for bat point counts, a method that can passively sample all flying bats in their natural environment.

原文英語
文章編號189
期刊F1000Research
10
DOIs
出版狀態已發佈 - 2022
對外發佈

ASJC Scopus subject areas

  • 一般生物化學,遺傳學和分子生物學
  • 一般免疫學和微生物學
  • 一般藥理學、毒理學和製藥學

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