2021
DOI: 10.1007/s00442-021-05087-3
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Estimating red fox density using non-invasive genetic sampling and spatial capture–recapture modelling

Abstract: Spatial capture–recapture modelling (SCR) is a powerful tool for estimating density, population size, and space use of elusive animals. Here, we applied SCR modelling to non-invasive genetic sampling (NGS) data to estimate red fox (Vulpes vulpes) densities in two areas of boreal forest in central (2016–2018) and southern Norway (2017–2018). Estimated densities were overall lower in the central study area (mean = 0.04 foxes per km2 in 2016, 0.10 in 2017, and 0.06 in 2018) compared to the southern study area (0.… Show more

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Cited by 10 publications
(6 citation statements)
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“…Average genotyping success (52.8%) was consistent with previous studies based on faecal DNA (e.g., 48% 54 , 58% 55 ). Densities fell within the range reported for Italian fox populations (1-2,5 foxes/km 2 ) 56 .…”
Section: Discussionsupporting
confidence: 88%
“…Average genotyping success (52.8%) was consistent with previous studies based on faecal DNA (e.g., 48% 54 , 58% 55 ). Densities fell within the range reported for Italian fox populations (1-2,5 foxes/km 2 ) 56 .…”
Section: Discussionsupporting
confidence: 88%
“…We found no significant correlation between minimum NI genotyped and abundance. Including more faeces could help identify a potential relationship between the minimum number of individuals identified by DNA faeces sampling, NI photo-identified, and abundance (Wegge et al 2019;Lindsø et al 2022). Future research should include random transects out of existing trails to increase the number of faeces and detections of individuals.…”
Section: Discussionmentioning
confidence: 99%
“…The red fox is the most widespread free-living predator in the world [ 44 ], and its role as a host for A. phagocytophilum is well documented [ 45 , 46 ]. In Poland, A. phagocytophilum has been detected in foxes with prevalence ranging from 2.7% in the central part of the country [ 11 ] to 34.5% in the northeastern regions [ 31 ].…”
Section: Discussionmentioning
confidence: 99%