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5 results for “Cervus canadensis”
Data from: "Correlates of mid-winter pregnancy and early reproductive outcomes in a reintroduced elk (Cervus canadensis) population"
<p>Raw and processed datasets used for analysis in "Correlates of mid-winter pregnancy and early reproductive outcomes in a reintroduced elk (<em>Cervus canadensis</em>) population" by Hooven et al., published in <em>Mammalian Biology</em>. Datasets are as follows:</p> <p>Pregnancy.csv - Raw dataset detailing year and date of capture, individual identifier, and measured intrinsic variables, along with confirmed or predicted pregnancy/calf viability status.</p> <p>Pregnancy_final_mass.csv - Raw dataset after body mass estimation for individuals that were not weighed. </p> <p>all_confirmed_preg.csv - Subset of raw data for all individuals with confirmed pregnancy status (via lab PSPB assay).</p> <p>preg_ageclass.csv - Subset of all_confirmed_preg dataset including all individuals with general age classification (e.g., adult or subadult).</p> <p>preg_numeric.csv - Subset of all_confirmed_preg dataset including all individuals with numeric age value (from incisiform canine cementum annuli).</p> <p>all_fns.csv - Subset of dataset including all individuals with confirmed or predicted fetal/early neonatal survival ("offspring viability") status.</p> <p>fns_ageclass.csv - Subset of all_fns.csv including all individuals with general age classification.</p> <p>fns_numeric.csv - Subset of all_fns.csv including all individuals with numeric age values.</p> <p>parameter_est.csv - Parameter estimates from top-performing generalized linear mixed models for both pregnancy and offpsinrg viability, for plotting.</p>
Evaluating the summer landscapes of predation risk and forage quality for elk (Cervus canadensis)
<p>These data accompany the paper "Evaluating the summer landscapes of predation risk and forage quality for elk (<em>Cervus canadensis</em>)", and are the unscaled version of the second- and third-order resource selection data sets for elk. Each data set consists of 6 columns: elkid (a unique identifier for every individual), used (an indicator: 0 = available sample, 1 = used sample), year, de (modeled digestible energy), lion (predicted relative probability of selection for mountain lions) and wolf (predicted relative probability of selection for wolves).</p>
Data from: Quantifying impacts of recreation on elk (Cervus canadensis) using novel modeling approaches
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Data from: Predicting multi-predator risk to elk (Cervus canadensis) in summer using predator scats
<p><span>1. There is growing evidence that prey perceive the risk of predation and alter their behaviour in response, resulting in changes in spatial distribution and potential fitness consequences. Previous approaches to mapping predation risk across a landscape quantify predator space use to estimate potential predator-prey encounters, yet this approach does not account for successful predator attack resulting in prey mortality. An exception is a prey kill site that reflects an encounter resulting in mortality, but obtaining information on kill sites is expensive and requires time to accumulate adequate sample sizes.</span></p> <p><span><span>2. We illustrate an alternative approach using predator scat locations and their contents to quantify spatial predation risk for elk <i>(Cervus canadensis</i>) from multiple predators in the Rocky Mountains of Alberta, Canada. We surveyed over 1300km to detect scats of bears (<i>Ursus arctos/U. americanus</i>), cougars (<i>Puma concolor</i>), coyotes (<i>Canis latrans</i>), and wolves (<i>C. lupus</i>). To derive spatial predation risk, we combined predictions of scat-based resource selection functions (RSFs) weighted by predator abundance with predictions that a predator-specific scat in a location contained elk. We evaluated the scat-based predictions of predation risk by correlating them to predictions based on elk kill sites. We also compared scat-based predation risk on summer ranges of elk following three migratory tactics for consistency with telemetry-based metrics of predation risk and cause-specific mortality of elk.</span></span></p> <p><span><span>3. We found a strong correlation between the scat-based approach presented here and predation risk predicted by kill sites and (<i>r</i> = 0.98, <i>P</i> < 0.001). Elk migrating east of the Ya Ha Tinda winter range were exposed to the highest predation risk from cougars, resident elk summering on the Ya Ha Tinda winter range were exposed to the highest predation risk from wolves and coyotes, and elk migrating west to summer in Banff National Park were exposed to highest risk of encountering bears, but it was less likely to find elk in bear scats than in other areas. These patterns were consistent with previous estimates of spatial risk based on telemetry of collared predators and recent cause-specific mortality patterns in elk. </span></span></p> <p>4. A scat-based approach can provide a cost-efficient alternative to kill sites of quantifying broad-scale, spatial patterns in risk of predation for prey particularly in multiple predator species systems.</p>
Data from: Predicting multi-predator risk to elk (Cervus canadensis) in summer using predator scats
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