首页> 外文期刊>Canadian Journal of Zoology >The quantitative effects of population density and winter weather on the body condition of white-tailed deer (Odocoileus virginianus) in Nova Scotia, Canada
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The quantitative effects of population density and winter weather on the body condition of white-tailed deer (Odocoileus virginianus) in Nova Scotia, Canada

机译:人口密度和冬季天气对加拿大新斯科舍省白尾鹿(Odocoileus virginianus)身体状况的定量影响

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摘要

Understanding the underlying mechanisms that cause variation in survival and the reproductive success of animals is essential for predicting variation in population parameters. To gain an understanding of the effects of density and winter weather severity on white-tailed deer, Odocoileus virginianus (Zimmermann, 1780), we examined the effects of current-year deer density and cumulative weekly average values for snow depth, rainfall, and the number of degrees below -15 deg C until the time of death, as well as cumulative effects of density and snow depth over the previous one and two winters, on the body condition of adult females, adult males, and fawns. Model selection using Akaike's Information Criterion and multi-model inference suggested that snow depth was the best predictor of body condition for all three age/sex groups. Winter rainfall was the next most influential predictor for adult females and adult males but was not important in determining fawn body condition. Temperature had the leastinfluence on the body condition of all three age/sex groups. Deer density during the winter of death had minimal effects for all groups and we found no evidence that cumulative multiyear variables influenced body condition. We hypothesize that cohort variation may better explain previous findings showing effects of multiyear variables. A model for estimating the proportion of animals in poor body condition for each age/sex group is presented.
机译:了解引起动物生存和生殖成功变异的潜在机制对于预测种群参数的变异至关重要。为了了解密度和冬季天气严峻性对白尾鹿Odocoileus virginianus的影响(Zimmermann,1780年),我们检查了当年鹿密度的影响以及每周积雪深度,降雨量和平均积雪平均值的影响。直到死亡时低于-15摄氏度的度数,以及前一和两个冬天的密度和积雪深度对成年雌性,成年雄性和小鹿的身体状况的累积影响。使用Akaike的信息准则和多模型推断进行的模型选择表明,对于三个年龄/性别组,雪深都是最佳的身体状况预测指标。冬季降雨是成年雌性和成年雄性的第二大影响因素,但对确定小鹿的身体状况并不重要。在三个年龄/性别组中,温度对身体状况的影响最小。死亡冬天的鹿密度对所有群体的影响都最小,我们没有发现证据表明多年累积变量影响身体状况。我们假设队列变化可以更好地解释以前的发现,这些发现显示了多年变量的影响。提出了一个模型,用于估计每个年龄/性别组身体状况较差的动物的比例。

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