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William H. Stiver

Publications and source records attributed to William H. Stiver.

2 recordsLinked to original sources

Effectiveness of black bear translocation as a conflict management tool

Great Smoky Mountains National Park (GRSM) in Tennessee and North Carolina, USA, has a high-density American black bear ( Ursus americanus ) population and high human visitation, resulting in frequent human–bear conflicts. Translocation is a common tool for conflict mitigation, but previous research at GRSM based on very high frequency (VHF) telemetry and eartag returns found that the fates of most translocated conflict bears were unknown, thereby leaving many unanswered questions about the fates and movements of translocated bears, including their propensity for engaging in recurrent human–bear conflicts. We equipped 50 bears involved in human–bear conflicts in GRSM with global positioning system (GPS) radio-collars and translocated them to Cherokee National Forest, Tennessee. We used those GPS location data to evaluate survival, recurrence of conflict activity, homing rate, and settling rate. Many of these bears were released in the Pigeon River gorge (PRG), where we also collared 37 resident bears to compare survival rates and movement patterns. Known-fate models indicated that the mean annual survival probability for translocated bears across the study area during all years (2015–2024) was 0.223 (95% CI = 0.107–0.339), whereas the survival of translocated bears and resident bears in the PRG during years 2022–2024 was 0.210 (95% CI = 0.000–0.445) and 0.787 (95% CI = 0.632–0.942), respectively. Annual survival of translocated bears was also lower (0.034, 95% CI = 0.000–0.125) than their non-translocated counterparts that remained in GRSM (0.869, 95% CI = 0.762–0.976) from 2015–2018. Harvest was the greatest overall mortality risk for all translocated bears (0.482, 95% CI = 0.326–0.638), and translocated bears were at greater risk of harvest (0.750, 95% CI = 0.350–1.000) than residents (0.136, 95% CI = 0.000–0.280) in the PRG. The annual probability of translocated bears returning to their original capture locations (i.e., homing) decreased with distance translocated and averaged 0.615 (95% CI = 0.341–0.889) for adults and 0.111 (95% CI = 0.000–0.318) for subadults. For every 1-km increase in distance translocated, the weekly odds of a bear homing decreased by a factor of 0.975 ( ̂𝛽 = −0.025, 85% CI = −0.046 to −0.004). The annual probability of recurrent conflict for translocated bears, defined as a report to agency officials by landowners, was 0.388 (95% CI = 0.190–0.586). Recurrent conflict increased with the level of food conditioning ( ̂𝛽 = 0.334, 85% CI = 0.098–0.570). Public education and improved waste management are paramount to prevent human–bear conflicts, as translocation and other bear-centered options may not accomplish desired outcomes.

North Carolina, Tennessee↗

Genetic structure in Elk persists after translocation

Elk ( Cervus canadensis ) translocation success is thought to be facilitated by high post‐release herd cohesion and limited movements; both should ensure genetic mixing following release. Such mixing is important to reduce potential effects of inbreeding or genetic drift, which can be especially important in small founding populations. We had a natural experiment where we could evaluate genetic mixing of 2 distinct lineages of elk after translocation to the same area. Founding elk ultimately came from north and south of a road barrier at Elk Island National Park (EINPN or EINPS, respectively), Alberta, Canada and the 2 groups were genetically distinct. During 2000 to 2003, elk originating from Elk Island National Park were translocated to Cumberland Mountains, Tennessee (TNCM) and Great Smoky Mountains National Park, North Carolina (GSMNP), USA (some elk spent time at Land Between the Lakes Recreation Area, Kentucky, USA, before their final translocation). At TNCM, translocated elk were hard released, whereas at GSMNP elk were held in pens up to 60 days before release (i.e., soft release). We hypothesized that associations formed in the source population would affect genetic structure in the future population. We predicted that matrilineal groups would stay closer together and have similar movements after translocation. We used 16 microsatellite markers to analyze genetic composition and structure of translocated elk and their offspring in the years after release. Most source elk used for translocation strongly assigned to either EINPN or EINPS (93.2%, n = 204). Evaluating the genetic structure of offspring after translocation, we found the 2 genetic groups mostly persisted ≥11 years following release. We measured the Euclidean distance between all possible pairs of telemetered female elk during each season and year and calculated the maximum distance moved from the release sites for females surviving >1 year. Mean Euclidean distances between pairwise locations of female elk were similar for each genetic cluster for each area. The mean distances for all paired locations (genetic clusters combined) in TNCM were 14.67 km ( n = 4,576 ± 13.23 [SD]) and in GSMNP were 9.30 km ( n = 1,468 ± 9.75). However, when looking at only simultaneous locations <50 m apart, the frequency of occurrence was higher ( P < 0.001) for elk with the same genetic structure (71.1%) compared with those with different structure (28.9%). The maximum distance travelled from the release site was not different for the 2 genetic groups, but EINPN females tended to travel farther. Pairwise female distances were lower in GSMNP where we used a soft release. Release methodology and social structure appear to affect movements and possibly genetic mixing after translocation. Given that restoration success can depend on maintaining genetic diversity and number of founders, our analyses suggest that within‐cluster breeding bias can result in lower genetic variability and a smaller effective population size than previously assumed.

Kentucky, Tennessee↗