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An accessible and comprehensive guide to all things acoustic bat detection. This highly illustrated handbook provides an in-depth understanding of acoustic detection principles, study planning, data handling, properties of bat calls, manual identification of species, automatic species recognition, analysis of results, quality assurance and the background physics of sound.
No other method of detecting bats is so popular and widespread in the context of environmental assessment and voluntary work as acoustic detection, and its increased use has driven the development of a large number of sophisticated devices and analytical methods. Acoustic detection has become a standard approach for establishing the presence of bats, carrying out species identification and monitoring levels of activity. The resolution, accuracy and scale with which these tasks can be done has risen dramatically with the availability of automated real-time recording.
But anyone interested in acoustic recording will quickly recognise that there are still quite a few open questions about the limits and possibilities of acoustic detection. Clear definitions of how to handle the data are usually missing, for example, and there are no clearly described activity indices. In response to the lack of thorough information on the underlying science of acoustic detection, the authors present this handbook.
No other method of detecting bats is so popular and widespread in the context of environmental assessment and voluntary work as acoustic detection, and its increased use has driven the development of a large number of sophisticated devices and analytical methods. Acoustic detection has become a standard approach for establishing the presence of bats, carrying out species identification and monitoring levels of activity. The resolution, accuracy and scale with which these tasks can be done has risen dramatically with the availability of automated real-time recording.
But anyone interested in acoustic recording will quickly recognise that there are still quite a few open questions about the limits and possibilities of acoustic detection. Clear definitions of how to handle the data are usually missing, for example, and there are no clearly described activity indices. In response to the lack of thorough information on the underlying science of acoustic detection, the authors present this handbook.
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