Handbook of Acoustic Bat Detection

This handbook provides a comprehensive guide to acoustic bat detection, covering principles, planning, data handling, species identification, automatic recognition, analysis, quality assurance, and background physics. It has become a standard approach for environmental assessment and monitoring, but there are still open questions about its limits and possibilities.

\n Format: Paperback / softback
\n Length: 216 pages
\n Publication date: 26 August 2021
\n Publisher: Pelagic Publishing
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This comprehensive guide covers all aspects of acoustic bat detection, providing 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. Acoustic detection has become a widely adopted method for environmental assessment and voluntary work, driven by the increasing demand for more efficient and effective bat monitoring. With the availability of automated real-time recording, the resolution, accuracy, and scale of these tasks have significantly improved. However, anyone interested in acoustic recording will quickly realize that there are still many unanswered questions about the limits and possibilities of acoustic detection. Clear guidelines for data handling and activity indices are often lacking, and a thorough understanding of the underlying science of acoustic detection is essential.

In response to this need, the authors have compiled this handbook, which aims to provide a comprehensive and up-to-date resource for anyone interested in acoustic bat detection. The handbook is divided into five chapters, each covering a different aspect of acoustic detection.

Chapter 1 provides an introduction to acoustic detection, including its history, principles, and applications. It explains the basic equipment required for acoustic monitoring and discusses the advantages and limitations of acoustic detection.

Chapter 2 covers study planning, including site selection, sampling design, and data collection techniques. It provides guidance on how to choose the appropriate equipment and methods for a specific study and how to ensure the quality and reliability of the data.

Chapter 3 focuses on data handling, including data transcription, cleaning, and analysis. It discusses the use of software tools for data management and analysis, such as R, Python, and MATLAB, and provides examples of how to perform common data analysis tasks.

Chapter 4 explores the properties of bat calls, including their frequency, duration, and complexity. It provides a detailed description of the different bat species and their vocalizations, and discusses the techniques used for manual identification of species.

Chapter 5 covers automatic species recognition, including machine learning and statistical analysis. It discusses the use of artificial intelligence and machine learning algorithms for identifying bat calls and provides examples of how these methods have been applied in practice.

Throughout the handbook, the authors have included numerous illustrations and examples to help readers understand the concepts and techniques discussed. They have also provided references to relevant literature and resources for further reading.

In conclusion, this handbook is a valuable resource for anyone interested in acoustic bat detection. It provides a comprehensive and up-to-date 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. Whether you are a researcher, environmentalist, or volunteer, this handbook will help you improve your skills and knowledge in this field.

\n Weight: 512g\n
Dimension: 156 x 233 x 13 (mm)\n
ISBN-13: 9781784272203\n \n