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dc.contributor.authorTuomi, Maria
dc.contributor.authorMurguzur, Francisco Javier Ancin
dc.contributor.authorHoset, Katrine S.
dc.contributor.authorSoininen, Eeva M
dc.contributor.authorVesterinen, Eero J.
dc.contributor.authorUtsi, Tove Aagnes
dc.contributor.authorKaino, sissel
dc.contributor.authorBråthen, Kari Anne
dc.date.accessioned2023-08-09T08:37:33Z
dc.date.available2023-08-09T08:37:33Z
dc.date.issued2023-03-19
dc.description.abstractSmall rodents are prevalent and functionally important across the world's biomes, making their monitoring salient for ecosystem management, conservation, forestry, and agriculture. There is a growing need for cost-effective and noninvasive methods for large-scale, intensive sampling. Fecal pellet counts readily provide relative abundance indices, and given suitable analytical methods, feces could also allow for the determination of multiple ecological and physiological variables, including community composition. In this context, we developed calibration models for rodent taxonomic determination using fecal near-infrared reflectance spectroscopy (fNIRS). Our results demonstrate fNIRS as an accurate and robust method for predicting genus and species identity of five coexisting subarctic microtine rodent species. We show that sample exposure to weathering increases the method's accuracy, indicating its suitability for samples collected from the field. Diet was not a major determinant of species prediction accuracy in our samples, as diet exhibited large variation and overlap between species. fNIRS could also be applied across regions, as calibration models including samples from two regions provided a good prediction accuracy for both regions. We show fNIRS as a fast and cost-efficient high-throughput method for rodent taxonomic determination, with the potential for cross-regional calibrations and the use on fieldcollected samples. Importantly, appeal lies in the versatility of fNIRS. In addition to rodent population censuses, fNIRS can provide information on demography, fecal nutrients, stress hormones, and even disease. Given the development of such calibration models, fNIRS analytics could complement novel genetic methods and greatly support ecosystem- and interaction-based approaches to monitoring.en_US
dc.identifier.citationTuomi, Murguzur, Hoset, Soininen, Vesterinen, Utsi, Kaino, Bråthen. Novel frontier in wildlife monitoring: Identification of small rodent species from fecal pellets using near-infrared reflectance spectroscopy (NIRS). Ecology and Evolution. 2023;13(3)en_US
dc.identifier.cristinIDFRIDAID 2158772
dc.identifier.doi10.1002/ece3.9857
dc.identifier.issn2045-7758
dc.identifier.urihttps://hdl.handle.net/10037/29795
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalEcology and Evolution
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleNovel frontier in wildlife monitoring: Identification of small rodent species from fecal pellets using near-infrared reflectance spectroscopy (NIRS)en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)