Please use this identifier to cite or link to this item:
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Use of non-invasive genotyping and spatial mark-recapture to monitor European pine martens in forested landscapes (Forthcoming)
Authors: Kubasiewicz, Laura M
Quine, Christopher P
Summers, Ron W
Coope, Rob
Cottrell, Joan E
A'Hara, Stuart W
Park, Kirsty
Contact Email:
Keywords: Non-invasive genotyping
elusive species
SECR modelling
population density
forest fragmentation
Citation: Kubasiewicz LM, Quine CP, Summers RW, Coope R, Cottrell JE, A'Hara SW & Park K (2017) Use of non-invasive genotyping and spatial mark-recapture to monitor European pine martens in forested landscapes (Forthcoming), Hystrix, the Italian Journal of Mammalogy.
Abstract: Accurate population density estimates are important for conservation but can be difficult to obtain where species are elusive or rare. Non-invasive genotyping from hair or faeces has provided a promising solution and allowed individual identification from genotypes to inform population assessment models. We use individual genotypes derived from hair samples and Spatially Explicit Capture Recapture (SECR) models to estimate the population density of European pine marten ( Martes martes) in three Scottish forests, then examine the effects of forest fragmentation on population size. Relative trends in pine marten abundance can be observed via changes in the number of scats in an area through time, but the link between this measure and population density remains unclear. We provide the first calibration of scat counts to enable population density estimation without the need for genetic analysis. Population density estimates ranged from 0.07 km-2 (95% CI 0.03 – 0.16) to 0.38 km-2 (95% CI 0.11 – 1.07), which were mid to low compared to other estimates from the Scottish population. An unequal sex ratio was found in one of the three forests. We found support for the previous finding that pine marten density in Scotland increases with forest fragmentation up to a threshold level (20 – 35% forest cover), beyond which it decreases. Our calibration suggests a non-linear relationship between scat counts and population density, although relatively small changes in population density result in marked changes in scat number. Following the recent re-introduction of pine martens to Wales, non-invasive genetic sampling for population estimation may provide an effective way of monitoring their progress.
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.

Files in This Item:
File Description SizeFormat 
Estimating pine marten density_Hystrix_FINAL.pdf585 kBAdobe PDFUnder Embargo until 1/7/2018     Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.