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Type:Article
Subject:Animal movement
Energy development
Home range
<em>Odocoileus hemionus</em>
Utilization distribution
Description:

Aim

The space an animal uses over a given time period must provide the resources required for meeting energetic needs, reproducing and avoiding predation. Anthropogenic landscape change in concert with environmental dynamics can strongly structure space-use. Investigating these dynamics can provide critical insight into animal ecology, conservation and management.

Location

The Piceance Basin, Colorado, USA.

Methods

We applied a novel utilization distribution estimation technique based on a continuous-time correlated random walk model to characterize range dynamics of mule deer during winter and summer seasons across multiple years. This approach leverages second-order properties of movement to provide a probabilistic estimate of space-use. We assessed the influence of environmental (cover and forage), individual and anthropogenic factors on interannual variation in range use of individual deer using a hierarchical Bayesian regression framework.

Results

Mule deer demonstrated remarkable spatial philopatry, with a median of 50% overlap (range: 8–78%) in year-to-year utilization distributions. Environmental conditions were the primary driver of both philopatry and range size, with anthropogenic disturbance playing a secondary role.

Main conclusions

Philopatry in mule deer is suspected to reflect the importance of spatial familiarity (memory) to this species and, therefore, factors driving spatial displacement are of conservation concern. The interaction between range behaviour and dynamics in development disturbance and environmental conditions highlights mechanisms by which anthropogenic environmental change may displace deer from familiar areas and alter their foraging and survival strategies.

[show more]
Type:Article
Subject:Biological aging
Landscape variation
Stress
Telomere
<em>Ursus americanus</em>
Description:Aging negatively affects individual survival and reproduction; consequently, characterizing the factors behind aging can enhance our understanding of fitness in wild populations. The drivers of biological age are diverse, but often related to factors like chronological age or sex of the individual. Recently, however, environmental factors have been shown to strongly influence biological age. To explore the relative importance of these influences on biological aging in a free-ranging and long-lived vertebrate, we quantified the length of telomeres—highly conserved DNA sequences that cap the ends of eukaryotic chromosomes and a useful molecular marker of biological age—for black bears sampled throughout Colorado, and measured a variety of environmental variables (habitat productivity, human development, latitude, elevation) and individual characteristics (age, sex, body size, genetic relatedness). Our extensive sampling of bears (n = 245) revealed no relationships between telomere length and any individual characteristics. Instead, we found a broad-scale latitudinal pattern in telomere length, with bears in northern Colorado possessing shorter telomeres. Our results suggest that environmental characteristics overwhelm individual ones in determining biological aging for this large carnivore. [show more]
Type:Article
Subject:Chronic wasting disease (CWD)
Demography
Disease ecology
Harvest management
Description:
  1. Sex-based differences in physiology, behaviour and demography commonly result in differences in disease prevalence. However, sex differences in prevalence may reflect exposure rather than transmission, which could affect disease control programmes. One potential example is chronic wasting disease (CWD), which has been observed at greater prevalence among male than female deer.
  2. We used an age- and sex-structured simulation model to explore harvest-based management of CWD under three different transmission scenarios that all generate higher male prevalence: (1) increased male susceptibility, (2) high male-to-male transmission or (3) high female-to-male transmission.
  3. Both female and male harvests were required to limit CWD epidemics across all transmission scenarios (approximated by R0), though invasion was more likely under high female-to-male transmission.
  4. In simulations, heavily male-biased harvests controlled CWD epidemics and maintained large host populations under high male-to-male transmission and increased male susceptibility scenarios. However, male-biased harvests were ineffective under high female-to-male transmission. Instead, female-biased harvests were able to limit disease transmission under high female-to-male transmission but incurred a trade-off with smaller population sizes.
  5. Synthesis and applications. Higher disease prevalence in a sex or age group may be due to higher exposure or susceptibility but does not necessarily indicate if that group is responsible for more disease transmission. We showed that multiple processes can result in the pattern of higher male prevalence, but that population-level management interventions must focus on the sex responsible for disease transmission, not just those that are most exposed.
[show more]
Type:
Subjects:
Description:

Aquatic Research ScientistHydrologist, Stream Habitat Investigations

Contact Information

eric.richer@state.co.us

Education

  • M.S., Watershed Science — Colorado State University, 2009
  • B.S., Fisheries and Wildlife Biology — Kansas State University, 2001

Current or Recent Positions

  • Aquatic Research Scientist — Hydrologist, Colorado Parks and Wildlife, 2012-Present
  • Aquatic Instrument Engineer — Hydrologist, National Ecological Observatory Network, Inc., 2011-2012
  • Program Manager — Research Associate III, Colorado State University, 2009-2011
  • Graduate Research Assistant — Colorado State University, 2008-2009
  • Fisheries Management Specialist — US Peace Corps, 2004-2006

Current or Recent Research Projects

  • Upper Arkansas River Habitat Enhancement Evaluation
  • South Platte River Stream Restoration and Habitat Enhancement
  • Gunnison River and Riparian Rehabilitation Project
  • Aquatic Habitat Restoration Studies
  • Fish Passage and Barrier Studies
  • Whitewater Park Studies

Areas of Interest/Expertise

  • Hydrologic analysis and modeling
  • Aquatic habitat assessments
  • Stream restoration and habitat enhancement design
  • Project monitoring and evaluation

Selected Publications

Richer, E. E., S. Graf, and M. C. Kondratieff. 2024. Evaluating the performance of instream structures for a stream restoration project in Colorado. River Research and Applications 40(3): 308–321. Kotalik, C. J., B. A. Wolff, J. P. F. Pomeranz, E. E. Richer, and W. H. Clements. 2023. Bioenergetic responses of a stream food web to habitat restoration: interactions between Brown Trout and invertebrate prey resources. Restoration Ecology. Cubley, E. S., E. E. Richer, D. W. Baker, C. G. Lamson, T. L. Hardee, B. P. Bledsoe, and P. L. Kulchawik. 2021. Restoration of riparian vegetation on a mountain river degraded by historical mining and grazing. River Research and Applications 38:80-93.Richer, E. E., M. C. Kondratieff, G. Policky, M. D. Robinson, M. Atwood, and M. R. Myers. 2021. From gold mining to gold medal fishery: evaluating the fishery response to stream restoration on the upper Arkansas River, Colorado. North American Journal of Fisheries Management 42:24-36.Kowalski, D. A. and E. E. Richer. 2020. Quantifying the habitat preferences of the stonefly Pteronarcys californica in Colorado. River Research and Applications 36:2043-2050. Richer, E. E., E. R. Fetherman, E. A. Krone, F. B. Wright III, and M. C. Kondratieff. 2020. Multispecies fish passage evaluation at a rock-ramp fishway in a Colorado transition zone stream. North American Journal of Fisheries Management 40:1510-1522.Richer, E. E., E. A. Gates, M. C. Kondratieff, and A. T. Herdrich. 2019. Modelling changes in trout habitat following stream restoration. River Research and Applications 35:680-691.Richer, E. E., E. R. Fetherman, M. C. Kondratieff, and T. A. Barnes. 2017. Incorporating GPS and mobile radio frequency identification to detect PIT-tagged fish and evaluate habitat utilization in streams. North American Journal of Fisheries Management 37(6):1249-1264.Richer, E.E., M.C. Kondratieff, and B.D. Swigle. 2015. Post-flood recovery assessment and stream restoration guidelines for the Colorado Front Range. Colorado Parks and Wildlife, Fort Collins, Colorado.

Kondratieff, M.C. and E.E. Richer. 2014. Stream Habitat Investigations and Assistance, Job Progress Report. Colorado Parks and Wildlife, Fort Collins, Colorado.

Moore, C., S. Kampf, B. Stone, and E. Richer. 2014. A GIS-based method for defining snow zones: application to the western United States. Geocarto International 30(1): 62-81.

Kampf, S. and E. Richer. 2014. Estimating source regions for snowmelt runoff in a Rocky Mountain watershed: comparison of conceptual runoff models driven by snow cover or snow water equivalent. Hydrological Processes 28: 2237-2250.

Kondratieff, M.C. and E.E. Richer. 2013. Stream Habitat Investigations and Assistance, Job Progress Report. Colorado Parks and Wildlife, Fort Collins, Colorado. 103 pp.

Richer, E.E., S.K. Kampf, S.R. Fassnacht, and C.C. Moore. 2013. Spatiotemporal index for analyzing controls on snow climatology: Application in the Colorado Front Range. Physical Geography 34(2): 85-107.

Baron, J.S., C.T. Driscoll, J.L. Stoddard, and E.E. Richer. 2011. Empirical critical loads of atmospheric nitrogen deposition for nutrient enrichment and acidification of sensitive US lakes. Bioscience 61(8): 602-613.

Richer, E.E. and J.S. Baron. 2011. Loch Vale Watershed Long-term Ecological Research and Monitoring Program: Quality Assurance Report, 2003-09: U.S. Geological Survey Open-File Report 2011-1137, 22 p.

Richer, E., J. Botte, and J. Baron. 2011. Loch Vale Watershed Long-term Research and Monitoring Program: Methods Manual 2011. Colorado State University, 95 pp.

[show more]
Description:Aquatic Research Scientist Salmonid Disease and Sport Fish

Contact Information

317 W Prospect RoadFort Collins, CO 80526Office: 970-472-4436Cell: 970-481-3225E-mail:  href="mailto:Eric.Fetherman@state.co.us">Eric.Fetherman@state.co.us

Education

  • Ph.D., Fish, Wildlife and Conservation Biology — Colorado State University. 2013
  • M.S., Fishery Biology — Colorado State University, 2009
  • B.S., Fishery Biology — Colorado State University, 2006
  • B.S., Wildlife Biology — Colorado State University, 2006

Current or Recent Positions

  • Aquatic Research Scientist — Colorado Parks and Wildlife, 2011-Current
  • Graduate Research Assistant (Ph.D.) — Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, 2009-2013
  • Graduate Research Assistant (M.S.) — Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, 2006-2009
  • Teaching Assistant — Colorado State University, 2005, 2006, 2008, 2010, 2011

Current or Recent Research Projects

  • Whirling disease resistant rainbow trout introductions
  • ​Optimizing rainbow trout production in CPW hatcheries
  • Wild rainbow trout brood stock development
  • Wild trout population dynamics, survival and movement

Areas of Interest/Expertise

  • Fish disease
  • Fish physiology
  • Fish culture
  • Fish ecology​

Publications

Avila, B. W., D. L. Winkelman, and E. R. Fetherman. 2023. Biotic and abiotic factors affecting survival of two Rainbow Trout strains in streams in Colorado. North American Journal of Fisheries Management 43(3): 786-793. Erickson, T. A., G. J. Schisler, and E. R. Fetherman. 2023. Post-stocking survival and myxospore evaluation of whirling disease resistant rainbow trout strains. North American Journal of Fisheries Management 43:586-599.Fetherman, E. R., B. Neuschwanger, C. Praamsma, and T. Davis. 2023. Concentration, life stage, feeding, density, flow, and strain effects on formalin sensitivity in rainbow trout (Oncorhynchus mykiss). Animals 13(15):2425. Kopack, C. J., E. D. Broder, E. R. Fetherman, R. M. Fitzpatrick, and L. M. Angeloni. 2023. Assessing antipredator behavior and the potential to enhance it in a species of conservation concern. North American Journal of Aquaculture 85:136-145.Kopack, C. J., E. R. Fetherman, E. D. Broder, R. M. Fitzpatrick, and L. M. Angeloni. 2023. The effects of abiotic enrichment and predator training on the behavior,morphology, and survival of a species of conservation concern. Conservation Science and Practice, e12999. Riepe, T. B., E. R., Fetherman, B. Neuschwanger, T. Davis, A. Perkins, and D. L. Winkelman. 2023. Vertical transmission of Renibacterium salmoninarum in hatchery-reared Cutthroat Trout (Oncorhynchus clarkii). Journal of Fish Diseases 46(4): 309-319. Avila, B. W., K. P. Huyvert, D. L. Winkelman, and E. R. Fetherman. 2022. Factors affecting post-challenge survival of Flavobacterium psychrophilum in susceptible Rainbow Trout from the literature. Pathogens 11:1318. Avila, B. W., D. L. Winkelman, and E. R. Fetherman. 2022. Dual resistance to Flavobacterium psychrophilum and Myxobolus cerebralis in rainbow trout (Oncorhynchus mykiss, Walbaum). Journal of Fish Diseases 2022:1-13. Fetherman, E. R., and B. W. Avila. 2022. Habitat associations of rainbow trout Oncorhynchus mykiss and brown trout Salmo trutta fry. Journal of Fish Biology 100:51-61.Riepe, T. B., V. Vincent, V. Milano, E. R. Fetherman, and D. L. Winkelman. 2021. Evidence for the use of mucus swabs to detect Renibacterium salmoninarum in brook trout. Pathogens 10(4), 460. Fetherman, E. R., B. Neuschwanger, T. Davis, C. L. Wells, and A. Kraft. 2020. Efficacy of Erymicin 200 injections for reducing Renibacterium salmoninarum and controlling vertical transmission in an inland rainbow trout brood stock. Pathogens 2020, 9(7), 547.

Richer, E. E., E. R. Fetherman, E. A. Krone, F. B. Wright III, and M. C. Kondratieff. 2020. Multispecies fish passage evaluation at a rock-ramp fishway in a Colorado transition zone stream. North American Journal of Fisheries Management 40:1510-1522.Fetherman, E. R., P. Cadmus, A. L. Jefferson, and M. K. Hura. 2019. Increasing copper concentrations do not affect Myxobolus cerebralis triactinomyxon viability. Journal of Fish Diseases 42:1327-1331. Avila, B. W., D. L. Winkelman, and E. R. Fetherman. 2018. Survival of whirling-disease- resistant rainbow trout fry in the wild: A comparison of two strains. Journal of Aquatic Animal Health 30:280-290. Hodge, B. W., E. R. Fetherman, K. B. Rogers, and R. Henderson. 2017. Effectiveness of a fishway for restoring passage of Colorado River cutthroat trout. North American Journal of Fisheries Management 37(6):1332-1340.

Richer, E. E., E. R. Fetherman, M. C. Kondratieff, and T. A. Barnes. 2017. Incorporating GPS and mobile radio frequency identification to detect PIT-tagged fish and evaluate habitat utilization in streams. North American Journal of Fisheries Management 37(6):1249-1264.

Fetherman, E. R., J. A. Wardell, C. J. Praamsma, and M. K. Hura. 2016. Critical dissolved​ oxygen tolerances of whirling disease-resistant rainbow trout. North American Journal of Aquaculture 78:366-373.

Kopack, C. J., E. D. Broder, E. R. Fetherman, J. M. Lepak, and L. M. Angeloni. 2016. The effect of a single prerelease exposure to conspecific alarm cue on poststocking survival in three strains of rainbow trout (Oncorhynchus mykiss). Canadian Journal of Zoology 94(9): 661-664.

Stout, J. B., B. W. Avila, and E. R. Fetherman. 2016. Efficacy of commercially available quaternary ammonium compounds for controlling New Zealand mudsnails, Potamopyrgus antipodarum. North American Journal of Fisheries Management 36:277-284.

Fetherman, E. R., J. M. Lepak, B. L. Brown, and D. J. Harris. 2015. Optimizing time of initiation for triploid walleye production using pressure shock treatment. North American Journal of Aquaculture 77:471-477.

Kopack, C. J., E. D. Broder, J. M. Lepak, E. R. Fetherman, and L. M. Angeloni. 2015. Behavioral responses of a highly domesticated, predator naïve rainbow trout to chemical cues of predation. Fisheries Research 169:1-7.

Fetherman, E. R., D. L. Winkelman, L. L. Bailey, G. J. Schisler, and K. Davies. 2015. Brown trout removal effects on short-term survival and movement of Myxobolus cerebralis­­-resistant rainbow trout. Transactions of the American Fisheries Society 144:610-626.

Fetherman, E. R., B. W. Avila, and D. L. Winkelman. 2014. Raft and floating radio frequency identification (RFID) antenna systems for detecting and estimating abundance of PIT-tagged fish in rivers​. North American Journal of Fisheries Management 34:1065-1077.

Fetherman, E. R., D. L. Winkelman, M. R. Baerwald, and G. J. Schisler. 2014. ​Survival and reproduction of My​xobolus cerebralis resistant rainbow trout in the Colorado River and increased survival of age-0 progeny.​ PLoS ONE 9(5):e96954.​

Fetherman, E. R. 2013. Introduction and management of Myxobolus cerebralis-Resistant Rainbow Trout in Colorado​. Ph.D. dissertation. Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO.

Fetherman, E. R., and J. M. Lepak. 2013. Addressing depletion failure and estimating gear efficiency using back-calculation of capture probabilities. Fisheries Research 147: 284-289.

Fetherman, E. R., D. L. Winkelman, G. J. Schisler, and M. F. Antolin. 2012. Genetic basis of differences in myxospore count between whirling disease-resistant and -susceptible strains of rainbow trout. Diseases of Aquatic Organisms 102:97-106.

Lepak, J. M., E. R. Fetherman, W. M. Pate, C. Craft, and E. I. Gardunio. 2012. An experimental approach to determine esocid prey preference in replicated pond systems. Lake and Reservoir Management 28:224-231.

Lepak, J. M., K. D. Kinzli, E. R. Fetherman, W. M. Pate, A. G. Hansen, E. I. Gardunio, C. N. Cathcart, W. L. Stacy, Z. E. Underwood, M. M. Brandt, C. A. Myrick, and B. M. Johnson. 2012. Manipulation of growth to reduce mercury concentrations in sport fish on a whole-system scale. Canadian Journal of Fisheries and Aquatic Sciences 69(1):122-135.

Fetherman, E. R., D. L. Winkelman, G. J. Schisler, and C. A. Myrick. 2011. The effects of Myxobolus cerebralis on the physiological performance of whirling disease resistant and susceptible strains of rainbow trout. Journal of Aquatic Animal Health 23:169-177. ​

Fetherman, E. R. 2009. Heritability of myxospore count and the effects of Myxobolus cerebralis exposure on the physiological performance of whirling disease resistant and susceptible strains of rainbow trout. M.S. thesis, Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO. 

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Type: Article
Subjects: Cougar
Global Positioning System (GPS)
Predation model
Predation rate
Prey composition
Color
Wyoming
Type:Article
Subject:Cougar
Global Positioning System (GPS)
Predation model
Predation rate
Prey composition
Color
Wyoming
Description:We examined cougar (Puma concolor) predation from Global Positioning System (GPS) location clusters (≥2 locations within 200 m on the same or consecutive nights) of 11 cougars during September-May, 1999-2001. Location success of GPS averaged 2.4-5.0 of 6 location attempts/night/cougar. We surveyed potential predation sites during summer-fall 2000 and summer 2001 to identify prey composition (n = 74; 3-388 days post predation) and record predation-site variables (n = 97; 3-270 days post predation). We developed a model to estimate probability that a cougar killed a large mammal from data collected at GPS location clusters where the probability of predation increased with number of nights (defined as locations at 2200, 0200, or 0500 hr) of cougar presence within a 200-m radius (P<0.001). Mean estimated cougar predation rates for large mammals were 7.3 days/kill for subadult females (1-2.5 yr; n = 3, 90% CI: 6.3 to 9.9), 7.0 days/kill for adult females (n = 2, 90% CI: 5.8 to 10.8), 5.4 days/kill for family groups (females with young; n = 3, 90% CI: 4.5 to 8.4), 9.5 days/kill for a subadult male (1-2.5 yr; n = 1, 90% CI: 6.9 to 16.4), and 7.8 days/kill for adult males (n = 2, 90% CI: 6.8 to 10.7). We may have slightly overestimated cougar predation rates due to our inability to separate scavenging from predation. We detected 45 deer (Odocoileus spp.), 15 elk (Cervus elaphus), 6 pronghorn (Antilocapra americana), 2 livestock, 1 moose (Alces alces), and 6 small mammals at cougar predation sites. Comparisons between cougar sexes suggested that females selected mule deer and males selected elk (P < 0.001). Cougars averaged 3.0 nights on pronghorn carcasses, 3.4 nights on deer carcasses, and 6.0 nights on elk carcasses. Most cougar predation (81.7%) occurred between 1901-0500 hr and peaked from 2201-0200 hr (31.7%). Applying GPS technology to identify predation rates and prey selection will allow managers to efficiently estimate the ability of an area's prey base to sustain or be affected by cougar predation. [show more]
Type:Article
Subject:Bobcat
Camera trap
Density estimation
Fragmentation
Illinois
<em>Lynx rufus</em>
Spatial capture–recapture model
Trap array
Description:Camera-trapping data analyzed with spatially explicit capture–recapture (SCR) models can provide a rigorous method for estimating density of small populations of elusive carnivore species. We sought to develop and evaluate the efficacy of SCR models for estimating density of a presumed low-density bobcat (Lynx rufus) population in fragmented landscapes of west-central Illinois, USA. We analyzed camera-trapping data from 49 camera stations in a 1,458-km2 area deployed over a 77-day period from 1 February to 18 April 2017. Mean operational time of cameras was 52 days (range = 32–67 days). We captured 23 uniquely identifiable bobcats 113 times and recaptured these same individuals 90 times; 15 of 23 (65.2%) individuals were recaptured at ≥2 camera traps. Total number of bobcat capture events was 139, of which 26 (18.7%) were discarded from analyses because of poor image quality or capture of only a part of an animal in photographs. Of 113 capture events used in analyses, 106 (93.8%) and 7 (6.2%) were classified as positive and tentative identifications, respectively; agreement on tentative identifications of bobcats was high (71.4%) among 3 observers. We photographed bobcats at 36 of 49 (73.5%) camera stations, of which 34 stations were used in analyses. We estimated bobcat density at 1.40 individuals (range = 1.00–2.02)/100 km 2. Our modeled bobcat density estimates are considerably below previously reported densities (30.5 individuals/100 km 2) within the state, and among the lowest yet recorded for the species. Nevertheless, use of remote cameras and SCR models was a viable technique for reliably estimating bobcat density across west-central Illinois. Our research establishes ecological benchmarks for understanding potential effects of colonization, habitat fragmentation, and exploitation on future assessments of bobcat density using standardized methodologies that can be compared directly over time. Further application of SCR models that quantify specific costs of animal movements (i.e., least-cost path models) while accounting for landscape connectivity has great utility and relevance for conservation and management of bobcat populations across fragmented Midwestern landscapes. [show more]
Type:Article
Subject:Camera traps
Capture–recapture
Heterogeneous detection
Small population
Description:Conservation and management agencies require accurate and precise estimates of abundance when considering the status of a species and the need for directed actions. Due to the proliferation of remote sampling cameras, there has been an increase in capture–recapture studies that estimate the abundance of rare and/or elusive species using closed capture–recapture estimators (C–R). However, data from these studies often do not meet necessary statistical assumptions. Common attributes of these data are (1) infrequent detections, (2) a small number of individuals detected, (3) long survey durations, and (4) variability in detection among individuals. We believe there is a need for guidance when analyzing this type of sparse data. We highlight statistical limitations of closed C–R estimators when data are sparse and suggest an alternative approach over the conventional use of the Jackknife estimator. Our approach aims to maximize the probability individuals are detected at least once over the entire sampling period, thus making the modeling of variability in the detection process irrelevant, estimating abundance accurately and precisely. We use simulations to demonstrate when using the unconditional-likelihood M0 (constant detection probability) closed C–R estimator with profile-likelihood confidence intervals provides reliable results even when detection varies by individual. If each individual in the population is detected on average of at least 2.5 times, abundance estimates are accurate and precise. When studies sample the same species at multiple areas or at the same area over time, we suggest sharing detection information across datasets to increase precision when estimating abundance. The approach suggested here should be useful for monitoring small populations of species that are difficult to detect. [show more]
Type: Article
Subjects: Brucella abortus
Cervus canadensis
Cross-species pathogen spillover
Habitat selection
Human-wildlife conflict
Resource selection function
Wildlife disease
Type:Article
Subject:Brucella abortus
Cervus canadensis
Cross-species pathogen spillover
Habitat selection
Human-wildlife conflict
Resource selection function
Wildlife disease
Description:Wildlife reservoirs of infectious disease are a major source of human-wildlife conflict because of the risk of potential spillover associated with commingling of wildlife and livestock. In Montana, the presence of brucellosis (Brucella abortus) in free-ranging elk (Cervus canadensis) populations is of significant management concern because of the risk of disease transmission from elk to livestock. To help mitigate potential conflict, we identified how spillover risk changes through space and time using a combination of elk population, disease, and movement data. We developed resource selection functions using telemetry data from 223 female elk to predict the relative probability of female elk occurrence on a daily basis during the 15 February-30 June transmission risk period. We combined these spatiotemporal predictions with elk seroprevalence, demography, and abortion timing data to identify when and where abortions (the primary transmission route of brucellosis) were most likely to occur. Additionally, we integrated these predictions with spatiotemporal data on livestock distribution to estimate the daily risk of livestock encountering brucellosis-induced elk abortions. We estimated that a minimum of ~17,500 adult female elk lived within our study area, which resulted in a conservative estimate of ~525 brucellosis-induced abortions each year. We predicted that approximately half of the transmission events occurred on livestock properties and 98% of those properties were private ranchlands as opposed to state or federal grazing allotments. Our fine-resolution (250-m spatial, 1-day temporal), large-scale (17,732 km2) predictions of potential elk-to-livestock transmission risk provide wildlife and livestock managers with a useful tool to identify higher risk areas in space and time and proactively focus actions in these areas to separate elk and livestock to reduce spillover risk. [show more]