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Full-Text Articles in Population Biology
What Have Long-Term Field Studies Taught Us About Population Dynamics?, Beth Reinke, David A.W. Miller, Fredric J. Janzen
What Have Long-Term Field Studies Taught Us About Population Dynamics?, Beth Reinke, David A.W. Miller, Fredric J. Janzen
Beth Reinke
Long-term studies have been crucial to the advancement of population bi- ology, especially our understanding of population dynamics. We argue that this progress arises from three key characteristics of long-term research. First, long-term data are necessary to observe the heterogeneity that drives most population processes. Second, long-term studies often inherently lead to novel insights. Finally, long-term field studies can serve as model systems for population biology, allowing for theory and methods to be tested under well-characterized conditions. We illustrate these ideas in three long-term field systems that have made outsized contributions to our understanding of population ecology, evolution, and conservation …
Joint Estimation Of Growth And Survival From Mark-Recapture Data To Improves Estimates Of Senescence In Wild Populations, Beth Reinke, Luke A. Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David A.W. Miller
Joint Estimation Of Growth And Survival From Mark-Recapture Data To Improves Estimates Of Senescence In Wild Populations, Beth Reinke, Luke A. Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, David A.W. Miller
Beth Reinke
Understanding age-dependent patterns of survival is fundamental to predicting
population dynamics, understanding selective pressures, and estimating rates of senescence.
However, quantifying age-specific survival in wild populations poses significant logistical
and statistical challenges. Recent work has helped to alleviate these constraints by
demonstrating that age-specific survival can be estimated using mark-recapture data even when age is unknown for all or some individuals. However, previous approaches do not incorporate auxiliary information that can improve age estimates of individuals. We introduce a survival estimator that combines a von Bertalanffy growth model, age-specific hazard functions, and a Cormack-Jolly-Seber mark-recapture model into a single hierarchical …