Relative effects of sample size, detection probability, and study duration on estimation in integrated population...

Area of Science:

• Ecology
• Population Biology
• Conservation Science

Background:

• Understanding population dynamics is crucial for species management and conservation.
• Integrated population models (IPMs) link environmental drivers to vital rates but their power is understudied.
• Detecting trends and environmental effects on vital rates is essential for effective conservation strategies.

Purpose of the Study:

• To evaluate the power of Integrated Population Models (IPMs) to detect trends and environmental effects on vital rates.
• To determine factors influencing the power of IPMs, including study duration, sample size, and effect size.
• To compare the power of IPMs against traditional Cormack-Jolly-Seber models.

Main Methods:

• Simulated population data across 41 scenarios to assess IPM power.
• Varied study duration, sample size, detection probability, and effect size in simulations.
• Compared IPMs with traditional Cormack-Jolly-Seber models using simulated capture-recapture data.

Main Results:

• Study duration and effect size significantly influenced power to detect trends in survival and fecundity.
• Longer study durations (e.g., 22 years vs. 10 years) increased power to detect survival changes.
• IPMs demonstrated greater power than Cormack-Jolly-Seber models for detecting trends in survival and fecundity.

Conclusions:

• Extended study durations are critical for robustly detecting demographic trends using IPMs.
• IPMs offer superior power for identifying environmental effects on vital rates compared to traditional methods.
• Future climate change necessitates adaptive study designs to inform conservation efforts effectively.