2022
DOI: 10.3390/rs14184565
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Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species

Abstract: Invasive alien species (IAS) are a threat to biodiversity and ecosystem function worldwide. Unfortunately, researchers, agencies, and other management groups face the unresolved challenge of effectively detecting and monitoring IAS at large spatial and temporal scales. To improve the detection of soniferous IAS, we introduced a pipeline for large-scale passive acoustic monitoring (PAM). Our main goal was to illustrate how PAM can be used to rapidly provide baseline information on soniferous IAS. To that aim, w… Show more

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Cited by 9 publications
(5 citation statements)
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“…As recommended in the Arbimon Help section, the models were validated using equal numbers of recordings with presence and absence of the respective species and had the following detection accuracies: 79% for the European green toad, 82% for the Eastern tree frog and 83% for the Marsh frog. While a number of other studies [ 20 , 21 ] have successfully used the simpler template PM, setting a low threshold and manually verifying portions of the results (i.e., the PM returns a high number of false positives with a reduced possibility of false negatives), we found this approach to be inapplicable in our case, as the template PM consistently returned vastly inaccurate results (e.g., >50% false positives). The merits of RFMs for species detection have been demonstrated by other studies [ 22 ], and the verified accuracy of our RFMs in all three species was considerably higher than what could be achieved using a template PM, so their results were used for the aims of the study.…”
Section: Methodsmentioning
confidence: 77%
See 1 more Smart Citation
“…As recommended in the Arbimon Help section, the models were validated using equal numbers of recordings with presence and absence of the respective species and had the following detection accuracies: 79% for the European green toad, 82% for the Eastern tree frog and 83% for the Marsh frog. While a number of other studies [ 20 , 21 ] have successfully used the simpler template PM, setting a low threshold and manually verifying portions of the results (i.e., the PM returns a high number of false positives with a reduced possibility of false negatives), we found this approach to be inapplicable in our case, as the template PM consistently returned vastly inaccurate results (e.g., >50% false positives). The merits of RFMs for species detection have been demonstrated by other studies [ 22 ], and the verified accuracy of our RFMs in all three species was considerably higher than what could be achieved using a template PM, so their results were used for the aims of the study.…”
Section: Methodsmentioning
confidence: 77%
“…Due to their good accuracy, scalability and robustness to noise, RFMs are increasingly used in automated sound classification [ 50 ]. Recent software advancements have greatly contributed towards the automatization of analyses; however, there is still a need for manual examination of recordings and validation of models, as recommended in [ 21 , 51 , 52 , 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…To understand P. knowlesi epidemiology and institute control measures, studies require fine-scale data to characterise macaque movement across space and time. Using cloud-based computing and pattern-matching approaches implemented in a freely available web-based platform [65], acoustic data can be analysed to detect M. fascicularis presence across different habitats within areas endemic for P. knowlesi transmission (Figure 5). In addition to standalone sensors, the deployment of multisensor networks, microphones, and linked arrays can facilitate acoustic localisation of terrestrial species, using position estimation algorithms at later analysis stages [66].…”
Section: Bioacoustic Data Analysis For Epidemiological Studiesmentioning
confidence: 99%
“…In combination with computational tools, PAM has proven to efficiently record animal activity for a wide variety of subjects, e.g. population density [12,13] and distribution [14], conservation [15] or climate change research [16,17]. PAM is typically aimed to record well-known species-specific acoustic signals that are emitted by specialized sound-producing structures and play a role in mating, resource defence or navigation [18].…”
Section: Introductionmentioning
confidence: 99%