Deep snow and human influence affect survival of an ungulate at the northern part of its range
Alexej P. K. Sirén
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Abstract
Winter is generally considered the limiting season for wildlife populations living in high-latitude/altitude regions. Logically, managers have used temperature and snow variables or indices to predict survival and adjust harvest quotas according to winter severity. A common approach is to use a winter severity index (WSI) to evaluate the effects of winter severity on game species (e.g. ungulates). However, a WSI requires both snow and temperature data, ideally collected at broad spatial scales and at high temporal resolution (e.g. weekly), and can take considerable effort to collect the data.
We evaluated the influence of several winter variables, including a WSI that has been used for predicting winter survival over the past several decades, on adult female white-tailed deer (Odocoileus virginianus) survival in northern New England. We also considered the influence of humans (anthropogenic influence), primarily in the form of artificial feeding, on deer survival.
We monitored 200 radio-collared deer in four different management units that spanned the gradient of winter climate and anthropogenic influence in the region over the course of seven winters (2015–2021). We used known-fate, staggered-entry, binomial models in a Bayesian framework to evaluate factors that influenced deer survival.
We recorded 64 mortalities that were primarily associated with predation in the northern regions but also from deer–vehicle collisions. Average (95% credible intervals [CI]) winter survival was 78% (66–89%), with the lowest and highest estimates occurring during the harshest (72%; CI = 54–85%) and mildest (82%; CI = 67–93%) winters respectively. The top survival model included snow depth under closed canopy and an additive effect of anthropogenic influence; snow depth had a negative effect, and anthropogenic influence had a positive effect on survival. However, WSI had low predictive power, and predicted higher survival in most winters and regions.
Our study indicated that winter survival rates of adult female deer were most influenced by snow and anthropogenic factors in northern New England and that WSI indices for evaluating the impacts of winter on deer populations were not robust for monitoring survival and determining harvest quotas.
Natural resource agencies should consider using alternative field methods (e.g. remote cameras) for monitoring annual snowpack and deer survival in high latitude regions. Further research is needed to determine which anthropogenic factors have a negative and positive impact on deer survival.
Keywords: abiotic stress, anthropogenic factors, artificial feeding, forest cover, Odocoileus virginianus, snow depth, survival, white-tailed deer, winter severity, WSI.
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