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.