Estimating red fox density using non-invasive genetic sampling and spatial capture-recapture modelling.
Autor: | Lindsø LK; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway. lars.lindso@ibv.uio.no.; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Universitetstunet 3, 1430, Ås, Norway. lars.lindso@ibv.uio.no.; Centre for Ecological and Evolutionary Synthesis (CEES), The Department of Biosciences, University of Oslo, Blindernveien 31, 0371, Oslo, Norway. lars.lindso@ibv.uio.no., Dupont P; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Universitetstunet 3, 1430, Ås, Norway., Rød-Eriksen L; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway., Andersskog IPØ; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway., Ulvund KR; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway., Flagstad Ø; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway., Bischof R; Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Universitetstunet 3, 1430, Ås, Norway., Eide NE; Norwegian Institute for Nature Research, Høgskoleringen 9, 7034, Trondheim, Norway. |
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Jazyk: | angličtina |
Zdroj: | Oecologia [Oecologia] 2022 Jan; Vol. 198 (1), pp. 139-151. Date of Electronic Publication: 2021 Dec 02. |
DOI: | 10.1007/s00442-021-05087-3 |
Abstrakt: | 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 km 2 in 2016, 0.10 in 2017, and 0.06 in 2018) compared to the southern study area (0.16 in 2017 and 0.09 in 2018). We found a positive effect of forest cover on density in the central, but not the southern study area. The absence of an effect in the southern area may reflect a paucity of evidence caused by low variation in forest cover. Estimated mean home-range size in the central study area was 45 km 2 [95%CI 34-60] for females and 88 km 2 [69-113] for males. Mean home-range sizes were smaller in the southern study area (26 km 2 [16-42] for females and 56 km 2 [35-91] for males). In both study areas, detection probability was session-dependent and affected by sampling effort. This study highlights how SCR modelling in combination with NGS can be used to efficiently monitor red fox populations, and simultaneously incorporate ecological factors and estimate their effects on population density and space use. (© 2021. The Author(s).) |
Databáze: | MEDLINE |
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