dc.contributor.author | Tuomi, Maria | |
dc.contributor.author | Murguzur, Francisco Javier Ancin | |
dc.contributor.author | Hoset, Katrine S. | |
dc.contributor.author | Soininen, Eeva M | |
dc.contributor.author | Vesterinen, Eero J. | |
dc.contributor.author | Utsi, Tove Aagnes | |
dc.contributor.author | Kaino, sissel | |
dc.contributor.author | Bråthen, Kari Anne | |
dc.date.accessioned | 2023-08-09T08:37:33Z | |
dc.date.available | 2023-08-09T08:37:33Z | |
dc.date.issued | 2023-03-19 | |
dc.description.abstract | Small 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.citation | Tuomi, 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.cristinID | FRIDAID 2158772 | |
dc.identifier.doi | 10.1002/ece3.9857 | |
dc.identifier.issn | 2045-7758 | |
dc.identifier.uri | https://hdl.handle.net/10037/29795 | |
dc.language.iso | eng | en_US |
dc.publisher | Wiley | en_US |
dc.relation.journal | Ecology and Evolution | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2023 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | Novel frontier in wildlife monitoring: Identification of small rodent species from fecal pellets using near-infrared reflectance spectroscopy (NIRS) | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |