Various monitoring methods have been developed for large carnivores, but not all are practical or sufficiently accurate for long-term monitoring over large spatial scales. From 2009 to 2010, we used a predictive habitat model to locate gray wolf rendezvous sites in 4 study areas in Idaho, USA and conducted noninvasive genetic sampling (NGS) of scat and hair found at the sites. We evaluated species and individual identification PCR success rates across the study areas, and estimated population size with a single-session population estimator using 2 different recapture-coding methods. We then compared NGS population estimates to estimates generated concurrently from telemetry data. We collected 1,937 scat and 166 hair samples and identified 193 unique individuals over 2 years. For fecal DNA samples, species identification success rates were consistently high (>92%) across areas. Individual identification success rates ranged from 78% to 80% in the drier study areas and dropped to 50% in the wettest study area. The degree of agreement between NGS-and telemetry-derived population estimates varied by recapture-coding method with considerable variability in 95% confidence intervals. Population estimates derived from NGS methods were most influenced by the average number of detections per individual. We demonstrate how changes in field effort and recapture-coding method can affect population estimates in a widely used single-session population estimation model. Our study highlights the need to further develop reliable population estimation tools for single-session NGS data, especially those with large differences in capture frequencies among individuals stemming from severe capture heterogeneity (i.e., overdispersion). Ó

Non-invasive genetic sampling is an increasingly popular approach for investigating the demographics of natural populations. This has also become a useful tool for managers and conservation biologists, especially for those species for which traditional mark-recapture studies are not practical. However, the consequence of collecting DNA indirectly is that an individual may be sampled multiple times per sampling session. This requires alternative statistical approaches to those used in traditional mark-recapture studies. Here we present the R package capwire, an implementation of the population size estimators of Miller et al. (Molecular Ecology 2005; 14: 1991), which were designed to deal specifically with this type of sampling. The aim of this project is to enable users across platforms to easily manipulate their data and interact with existing R packages. We have also provided functions to simulate data under a variety of scenarios to allow for rigorous testing of the robustness of the method and to facilitate further development of this approach.

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Knowledge about recruitment in a population can be critical when making conservation decisions, particularly for harvested species. Harvest can affect population demography in complex ways and this may be particularly true for cooperatively breeding species whose successful reproduction is often linked with complex social dynamics. We currently have a poor understanding of how harvest affects recruitment in cooperatively breeding species. We used non‐invasive genetic sampling and a natural experiment to estimate recruitment in a population of gray wolves Canis lupus before and after harvest in the northern Rocky Mountains, US (2008–2013). We hypothesized that recruitment would decline after hunting and trapping began and that the decline in recruitment would be attributable to the harvest of pups and not to the subtler mechanisms associated with group dynamics and reduced reproductive success. We collected fecal samples from wolves in 10 packs for 6 consecutive years, extracted DNA and genotyped 154 individual pups across 18 microsatellite loci. Population harvest rates averaged 23.8% (sd = 9.2). Our hypothesis that recruitment would decline was supported; survival from 3 to 15 months of age decreased from 0.60 [95% confidence interval (CI): 0.48–0.72] without harvest to 0.38 (95% CI: 0.28–0.48) with harvest and recruitment declined from 3.2 (95% CI: 2.1–4.3) to 1.6 (95% CI: 1.1–2.1) pups per pack after harvest was initiated. We cannot unequivocally dismiss other factors that could have reduced recruitment, however, an increase in recruitment when harvest temporarily ceased lends support to our conclusion that harvest reduced recruitment. We attributed just 18–38% of pup mortality directly to harvest and suggest that there are indirect effects of harvest on recruitment that may be associated with changes in group size and structure. Models that do not include both direct and indirect effects of harvest on recruitment may underestimate the potential impact of harvest on population growth in social species.

Many animals, including gray wolves (Canis lupus), live in social groups. Genetic techniques can help reveal the structure and composition of social groups, providing valuable information about group and population dynamics. We evaluated the effectiveness of using noninvasive genetic sampling (NGS) of fecal and hair samples at wolf rendezvous sites combined with spatial and genetic assignment criteria for assigning individuals to packs, detecting dispersers and lone wolves, determining the number of packs in an area, and obtaining group metrics. We applied this approach in 4 study areas covering 13,182 km 2 in Idaho, USA while concurrently monitoring wolves using telemetry techniques. We assigned pack affiliation to 78-97% of individuals across study areas and identified 12 potential dispersers. We detected a successful gene flow event by reconstructing a breeding male's genotype and tracing it back to a pack of origin using genetic assignment techniques. Average pack size was consistent between our NGS-and telemetry-based counts ( x ¼ 10 for both), and both methods detected similar age composition within groups (31% pups and 69% adults for NGS and 33% pups and 67% adults for telemetry). Our NGS approach has the advantage of providing pack metrics including sex ratio, inferred breeders, and intra-pack relatedness that telemetry and observational techniques alone cannot. This NGS field sampling strategy combined with our pack assignment method was successful and provides an approach for characterizing functional social groups in the absence of previously acquired NGS, telemetry, or other observational data that may not be available when sampling new areas. Ó 2016 The Wildlife Society.