Combining acoustic localisation and high-resolution land cover classification to study predator vocalisation behaviour

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10497213" target="_blank" >RIV/00216208:11310/23:10497213 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=nLBPYUdL7u" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=nLBPYUdL7u</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1071/WR22007" target="_blank" >10.1071/WR22007</a>

Result language

angličtina

Original language name

Combining acoustic localisation and high-resolution land cover classification to study predator vocalisation behaviour

Original language description

Context: The ecology of cryptic animals is difficult to study without invasive tagging approaches or labour-intensive field surveys. Acoustic localisation provides an effective way to locate vocalising animals using acoustic recorders. Combining this with land cover classification gives new insight into wild animal behaviour using non-invasive tools.Aims: This study aims to demonstrate how acoustic localisation - combined with high-resolution land cover classification - permits the study of the ecology of vocalising animals in the wild. We illustrate this technique by investigating the effect of land cover and distances to anthropogenic features on coyote and wolf vocal behaviour.Methods: We collected recordings over 13 days in Wisconsin, USA, and triangulated vocalising animals&apos; locations using acoustic localisation. We then mapped these locations onto land cover using a high-resolution land cover map we produced for the area.Key results: Neither coyotes nor wolves vocalised more in one habitat type over another. Coyotes vocalised significantly closer to all human features than expected by chance, whereas wolves vocalised significantly further away. When vocalising closer to human features, coyotes selected forests but wolves showed no habitat preference.Conclusions: This novel combination of two sophisticated, autonomous sensing-driven tools permits us to examine animal land use and behavioural ecology using passive sensors, with the aim of drawing ecologically important conclusions.Implications: We envisage that this method can be used at larger scales to aid monitoring of vocally active animals across landscapes. Firstly, it permits us to characterise habitat use while vocalising, which is an essential behaviour for many species. Furthermore, if combined with additional knowledge of how a species&apos; habitat selection while vocalising relates to its general habitat use, this method could permit the derivation of future conclusions on prevailing landscape use. In summary, this study demonstrates the potential of integrating acoustic localisation with land cover classification in ecological research.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10613 - Zoology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Wildlife Research

ISSN

1035-3712

e-ISSN

1448-5494

Volume of the periodical

50

Issue of the periodical within the volume

12

Country of publishing house

AU - AUSTRALIA

Number of pages

15

Pages from-to

965-979

UT code for WoS article

000932987800001

EID of the result in the Scopus database

2-s2.0-85180089302