Acoustic localization at large scales: a promising method for grey wolf monitoring - Université de Lorraine Access content directly
Journal Articles Frontiers in Zoology Year : 2018

Acoustic localization at large scales: a promising method for grey wolf monitoring

Abstract

The grey wolf (Canis lupus) is naturally recolonizing its former habitats in Europe where it was extirpated during the previous two centuries. The management of this protected species is often controversial and its monitoring is a challenge for conservation purposes. However, this elusive carnivore can disperse over long distances in various natural contexts, making its monitoring difficult. Moreover, methods used for collecting signs of presence are usually time-consuming and/or costly. Currently, new acoustic recording tools are contributing to the development of passive acoustic methods as alternative approaches for detecting, monitoring, or identifying species that produce sounds in nature, such as the grey wolf. In the present study, we conducted field experiments to investigate the possibility of using a low-density microphone array to localize wolves at a large scale in two contrasting natural environments in north-eastern France. For scientific and social reasons, the experiments were based on a synthetic sound with similar acoustic properties to howls. This sound was broadcast at several sites. Then, localization estimates and the accuracy were calculated. Finally, linear mixed-effects models were used to identify the factors that influenced the localization accuracy. Results : Among 354 nocturnal broadcasts in total, 269 were recorded by at least one autonomous recorder, therebydemonstrating the potential of this tool. Besides, 59 broadcasts were recorded by at least four microphones and usedfor acoustic localization. The broadcast sites were localized with an overall mean accuracy of 315 ± 617 (standarddeviation) m. After setting a threshold for the temporal error value associated with the estimated coordinates, someunreliable values were excluded and the mean accuracy decreased to 167 ± 308 m. The number of broadcasts recordedwas higher in the lowland environment, but the localization accuracy was similar in both environments, although itvaried significantly among different nights in each study area. Conclusions : Our results confirm the potential of using acoustic methods to localize wolves with high accuracy, indifferent natural environments and at large spatial scales. Passive acoustic methods are suitable for monitoring thedynamics of grey wolf recolonization and so, will contribute to enhance conservation and management plans
Fichier principal
Vignette du fichier
s12983-018-0260-2.pdf (1.41 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03163531 , version 1 (10-07-2022)

Licence

Attribution

Identifiers

Cite

Morgane Papin, Julian Pichenot, François Guérold, Estelle Germain. Acoustic localization at large scales: a promising method for grey wolf monitoring. Frontiers in Zoology, 2018, 15, pp.11. ⟨10.1186/s12983-018-0260-2⟩. ⟨hal-03163531⟩
62 View
39 Download

Altmetric

Share

Gmail Facebook X LinkedIn More