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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Can scat-based species identification be a misleading sign of presence? More evidences from northeastern portugal

Participants in the publication
Marta Alexandre (Author)
Luis Miguel Rosalino (Author)
Dep. Biologia Animal
cE3c
Dário Hipólito (Author)
Carlos Fonseca (Author)
Eduardo Ferreira (Author)

Summary
Species identification of non-invasively collected samples using molecular genetics tools has become an important tool in ecological research. For decades, scat-based ecological studies were almost exclusively rooted in morphological identification of scats, within local context, in the field. However, this approach raised a controversial debate, due to species and context-specific probability of error and lack of validation. In this study, we aimed to test the accuracy of mesocarnivore scats identification, based on morphological criteria, using a carnivore guild in northeastern Portugal as a model and molecular identification as a standard for accuracy of morphological identifications, within local context. While using only expert-based identifications for comparison with molecular identification standard, we have also compared the identifications performed by observers with different levels of experience. We extracted DNA from 63 scats (NE Portugal), which was successfully amplified/sequenced from 83% (n= 52) of the extracts: 38 were molecularly assigned to red fox (Vulpes vulpes), eight to stone marten (Martes foina), two to pine marten (Martes martes) and domestic dog (Canis lupus familiaris) and one to European badger (Meles meles) and common genet (Genetta genetta). There was a tendency for better performance by more experienced researchers, with 67% of scats being correctly assigned, but differences among observers were not significant. Due to the small sample size, only for foxes and stone martens was possible to estimate the error rate in species assignment, based on morphological criteria. False positive rates (% of times a scat was misassigned to a given species) were 4% for fox samples and 62% for stone marten. False negative rates (i.e. the rate at which a scat of a given species was assigned to another species) reached 29% for fox (scats that were initially assigned to stone marten and domestic dog were in fact from fox) and 25% for stone marten (originally misassigned to weasel, Mustela nivalis), respectively. The results support the need to implement molecular methods in ecological studies based on scat identification, so researchers can determine the error rates associated with morphological discrimination to develop accurate monitoring studies.

Date of Publication
2020-10-01

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Where published
Galemys, Spanish Journal of Mammalogy

Publication Identifiers
ISSN - 2254-8408
eISSN - 2254-8408

Publisher
Sociedad Espanola para la Conservacion y Estudio de los Mamiferos (SECEM)

Volume
32

Number of pages
9
Starting page
1
Last page
10

Document Identifiers
DOI - https://doi.org/10.7325/galemys.2020.a5
ISBN - 2254-8408


Export

APA
Marta Alexandre, Luis Miguel Rosalino, Dário Hipólito, Carlos Fonseca, Eduardo Ferreira, (2020). Can scat-based species identification be a misleading sign of presence? More evidences from northeastern portugal. Galemys, Spanish Journal of Mammalogy, 32, 1-10. ISSN 2254-8408. eISSN 2254-8408.

IEEE
Marta Alexandre, Luis Miguel Rosalino, Dário Hipólito, Carlos Fonseca, Eduardo Ferreira, "Can scat-based species identification be a misleading sign of presence? More evidences from northeastern portugal" in Galemys, Spanish Journal of Mammalogy, vol. 32, pp. 1-10, 2020. 10.7325/galemys.2020.a5

BIBTEX
@article{46991, author = {Marta Alexandre and Luis Miguel Rosalino and Dário Hipólito and Carlos Fonseca and Eduardo Ferreira}, title = {Can scat-based species identification be a misleading sign of presence? More evidences from northeastern portugal}, journal = {Galemys, Spanish Journal of Mammalogy}, year = 2020, pages = {1-10}, volume = 32 }