Passive acoustic survey reveals the abundance of a low-density predator and its dependency on mature forests

dc.contributor.authorBaroni Daniele
dc.contributor.authorHanzelka Jan
dc.contributor.authorRaimondi Teresa
dc.contributor.authorGamba Marco
dc.contributor.authorBrommer Jon E
dc.contributor.authorLaaksonen Toni
dc.contributor.organizationfi=ekologia ja evoluutiobiologia|en=Ecology and Evolutionary Biology |
dc.contributor.organization-code1.2.246.10.2458963.20.20415010352
dc.contributor.organization-code2606402
dc.converis.publication-id179722253
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179722253
dc.date.accessioned2025-08-27T23:18:47Z
dc.date.available2025-08-27T23:18:47Z
dc.description.abstract<p><b>Context</b><br></p><p>Even though habitat use is essential information for conservation management strategies, studying it in elusive and scarce forest species has proven challenging. Passive acoustic monitoring allows collecting accurate presence-absence data even for species that typically exhibit low detectability. It further provides tools for long-term and cost-effective biodiversity monitoring, and may also be used to infer population estimates at the landscape level.<br></p><p><b>Objectives</b><br></p><p>We aimed to demonstrate the application of passive acoustic monitoring to the problem of detecting elusive species, especially in forests, using the Eurasian pygmy owl as a model species. We explored its habitat selection, and estimated occupancy and density at the landscape level in the managed boreal forest.<br></p><p><b>Methods</b><br></p><p>We conducted a wide-scale autonomous recording units (ARUs) survey, involving 292 sites in a single season, in a study area covering approx. 370 km(2) in south-western Finland. We clustered the detections into territories of males to infer population size by also taking into account the size of home ranges derived from GPS-tags data. Since we were simultaneously monitoring the occupancy of a network of nest boxes and previously estimated the abundance of natural cavities, we could also estimate the proportion of pygmy owls nesting in natural cavities.<br></p><p><b>Results</b><br></p><p>Increasing availability of mature forests was consistently the most critical habitat variable both for calling and nesting sites, increasing occupancy probability of the pygmy owls in a landscape dominated by managed forests. The proportion of sites showing occupancy by the pygmy owls was 20.9%, corresponding to an estimate of ca. Six territorial males/100 km(2).<br></p><p><b>Conclusion</b><br></p><p>Our results confirmed that the pygmy owl can be considered a species of mature and old forests, and we provide the first data-based estimate of the total density of territorial males of this species. Passive acoustic monitoring proved to be an efficient method in detecting the presence of pygmy owls, and may overcome weaknesses of other methods, such as nest box surveys, in order to quantify population numbers.</p>
dc.identifier.eissn1572-9761
dc.identifier.jour-issn0921-2973
dc.identifier.olddbid203780
dc.identifier.oldhandle10024/186807
dc.identifier.urihttps://www.utupub.fi/handle/11111/48919
dc.identifier.urlhttps://doi.org/10.1007/s10980-023-01667-1
dc.identifier.urnURN:NBN:fi-fe2025082786198
dc.language.isoen
dc.okm.affiliatedauthorBaroni, Daniele
dc.okm.affiliatedauthorHanzelka, Jan
dc.okm.affiliatedauthorBrommer, Jon
dc.okm.affiliatedauthorLaaksonen, Toni
dc.okm.discipline1181 Ecology, evolutionary biologyen_GB
dc.okm.discipline1181 Ekologia, evoluutiobiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSPRINGER
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.doi10.1007/s10980-023-01667-1
dc.relation.ispartofjournalLandscape Ecology
dc.source.identifierhttps://www.utupub.fi/handle/10024/186807
dc.titlePassive acoustic survey reveals the abundance of a low-density predator and its dependency on mature forests
dc.year.issued2023

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