Bat detection

1980 ◽  
Vol 26 (5) ◽  
pp. 376
Author(s):  
J.D. Pye
Keyword(s):  
Bat Detection

The Handbook of Acoustic Bat Detection

2021 ◽  
Author(s):  
Volker Runkel ◽  
Guido Gerding ◽  
Ulrich Marckmann
Keyword(s):  
Species Recognition ◽  
Acoustic Detection ◽  
Voluntary Work ◽  
Study Planning ◽  
Open Questions ◽  
Identification Of Species ◽  
Analysis Of Results ◽  
Acoustic Recording ◽  
Bat Detection ◽  
Activity Indices

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.

scholarly journals Analytical volume model for optimized spatial radar bat detection in onshore wind parks

PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0239911
Author(s):  
Jannes Kreutzfeldt ◽  
Carolin Floeter ◽  
Thies Lingner ◽  
Lukas Schmitz-Beuting ◽  
Michael Reich ◽  
...  
Keyword(s):  
Onshore Wind ◽  
Volume Model ◽  
Bat Detection

Brown Adipose Tissue (BAT) detection by 18F-FDG PET and thyroid hormone level(s)—a systematic review

Endocrine ◽  
2018 ◽  
Vol 62 (2) ◽  
pp. 496-500 ◽  
Author(s):  
Prasanna Santhanam ◽  
Rexford S Ahima ◽  
Jennifer S Mammen ◽  
Luca Giovanella ◽  
Giorgio Treglia
Keyword(s):  
Systematic Review ◽  
Adipose Tissue ◽  
Thyroid Hormone ◽  
Brown Adipose Tissue ◽  
Fdg Pet ◽  
Hormone Level ◽  
Thyroid Hormone Level ◽  
Brown Adipose ◽  
18F Fdg ◽  
Bat Detection

scholarly journals SWIFT /BAT DETECTION OF HARD X-RAYS FROM TYCHO'S SUPERNOVA REMNANT: EVIDENCE FOR TITANIUM-44

2014 ◽  
Vol 797 (1) ◽  
pp. L6 ◽  
Author(s):  
E. Troja ◽  
A. Segreto ◽  
V. La Parola ◽  
D. Hartmann ◽  
W. Baumgartner ◽  
...  
Keyword(s):  
Supernova Remnant ◽  
X Rays ◽  
Bat Detection

Quantifying clutter: A comparison of four methods and their relationship to bat detection

2014 ◽  
Vol 322 ◽  
pp. 1-9 ◽  
Author(s):  
Joy M. O’Keefe ◽  
Susan C. Loeb ◽  
Hoke S. Hill ◽  
J. Drew Lanham
Keyword(s):  
Bat Detection

scholarly journals Fewer bat passes are detected during small, commercial drone flights

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gabrielle Ednie ◽  
David M. Bird ◽  
Kyle H. Elliott
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Cost Efficiency ◽  
Ecological Research ◽  
Detection Rates ◽  
Noise Interference ◽  
Aerial Vehicles ◽  
Big Brown Bat ◽  
Lasionycteris Noctivagans ◽  
Bat Detection ◽  
Operational Simplicity

AbstractAdvances in technological capabilities, operational simplicity and cost efficiency have promoted the rapid integration of unmanned aerial vehicles (UAVs) into ecological research, providing access to study taxa that are otherwise difficult to survey, such as bats. Many bat species are currently at risk, but accurately surveying populations is challenging for species that do not roost in large aggregations. Acoustic recorders attached to UAVs provide an opportunity to survey bats in challenging habitats. However, UAVs may alter bat behaviour, leading to avoidance of the UAV, reduced detection rates and inaccurate surveys. We evaluated the number of bat passes detected with and without the presence of a small, commercial UAV in open habitats. Only 22% of bat passes were recorded in the presence of the UAV (0.23 ± 0.09 passes/min) compared to control periods without the UAV (1.03 ± 0.17 passes/min), but the effect was smaller on the big brown bat/silver-haired bat (Eptesicus fuscus/Lasionycteris noctivagans) acoustic complex. Noise interference from the UAV also reduced on-board bat detection rates. We conclude that acoustic records attached to UAVs may inaccurately survey bat populations due to low and variable detection rates by such recorders.

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