DEMOGRAPHIC METHODS IN WILDLIFE CONSERVATION

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Estimate model parameters using maximum likelihood and Bayesian procedures Audience: Graduate 2. Construct, implement, and interpret output from deterministic and stochastic matrix models of population growth Audience: Graduate 3. Estimate and model ecological drivers of mortality and survival rates in wildlife populations using mark-recapture modeling methods Audience: Graduate 4. Estimate and model ecological drivers of site occupancy rates for wildlife populations using occupancy modeling methods Audience: Graduate 5. Evaluate model limitations, model assumptions, and the effects of violations of assumptions on inference Audience: Graduate 6. Interpret population model output and apply results to conservation decision making in the face of uncertainty Audience: Graduate Learning Outcomes: 1. Estimate model parameters using maximum likelihood and Bayesian procedures Audience: Graduate 2. Construct, implement, and interpret output from deterministic and stochastic matrix models of population growth Audience: Graduate 3. Estimate and model ecological drivers of mortality and survival rates in wildlife populations using mark-recapture modeling methods Audience: Graduate 4. Estimate and model ecological drivers of site occupancy rates for wildlife populations using occupancy modeling methods Audience: Graduate 5. Evaluate model limitations, model assumptions, and the effects of violations of assumptions on inference Audience: Graduate 6. Interpret population model output and apply results to conservation decision making in the face of uncertainty Audience: Graduate