Estimating survival rates with age-structure data
We developed a general statistical model that provides a comprehensive framework for inference about survival rates based on standing age-structure and ages-at-death data. Previously available estimators are maximum likelihood under the general model, but they use only 1 type of data and require the assumption of a stable age structure and a known population growth rate. We used the general model to derive new survival rate estimators that use both types of data and require only the assumption of a stable age structure or a known population growth rate. Our likelihood-based approach allows use of standard model-selection procedures to test hypotheses about age-structure stability, population growth rates, and age-related patterns in survival. We used this approach to estimate survival rates for female sea otters (Enhydra lutris) in Prince William Sound, Alaska.
Citation Information
Publication Year | 1998 |
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Title | Estimating survival rates with age-structure data |
DOI | 10.2307/3802355 |
Authors | Mark S. Udevitz, Brenda E. Ballachey |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Wildlife Management |
Index ID | 70020396 |
Record Source | USGS Publications Warehouse |