Survival data of Martes Americana and landscape variables associated with mortality events

To test the effects of seasonal heterogeneity on a reintroduced carnivore, American martens (Martes americana), we compared metrics of local and season-specific heterogeneity to traditional forest metrics on the survival of 242 individuals across 8 years and predicted a survival landscape for 13 reintroduction sites. We identified a set of variables that characterized potentially important drivers of marten survival, allowing for a comparison between heterogeneity metrics (i.e., complexity of vegetation, land cover, and abiotic conditions) and landscape variables representing composition and configuration. We summarized environmental conditions encountered by individuals by extracting landscape variables and measures of heterogeneity within 95% kernel density estimate. To test the influence of landscape variables and heterogeneity on survival, we modeled mortality risk from time-to-event data using a Bayesian framework.

为检验季节异质性对重新引入的食肉动物美洲貂（Martes americana）的影响，我们比较了局部及季节特异性异质性指标与传统森林指标对8年间242只个体生存情况的作用，并预测了13个重新引入地点的生存景观。我们识别出一组表征貂生存潜在重要驱动因素的变量，从而能够比较异质性指标（即植被、土地覆盖和非生物条件的复杂性）与代表组成和配置的景观变量。通过提取95%核密度估计范围内的景观变量及异质性测度，我们总结了个体所遭遇的环境条件。为检验景观变量和异质性对生存的影响，我们采用贝叶斯框架对生存时间数据的死亡风险进行建模。