Linking physiological effects on activity and resource use to population level phenomena.

Area of Science:

• Ecological modeling
• Animal physiology
• Population dynamics

Background:

• Physiological constraints significantly influence animal activity and resource acquisition.
• Previous models often lack the flexibility to incorporate diverse environmental factors and organism-specific data.
• Understanding these links is crucial for accurate ecological predictions.

Purpose of the Study:

• To develop a computational model linking animal physiology to population-level processes.
• To create a flexible, mechanistically driven model applicable to various species and environments.
• To test the model's predictive power using data from canyon lizards and forest frogs.

Main Methods:

• Extending and computationalizing an existing ecological model (Dunham et al., 1989).
• Integrating physiological data, environmental forcing functions, and resource budget calculations.
• Incorporating species-specific data and approximations for model parameterization.
• Applying the model to canyon lizards (Sceloporus merriami) and forest-dwelling frogs.

Main Results:

• The model successfully predicted counterintuitive empirical patterns observed in canyon lizard populations.
• For forest frogs, the model demonstrated how hydric conditions and rainfall patterns influence dehydration risk.
• The approach proved effective even with limited data for the frog system.

Conclusions:

• Physiological modeling provides a powerful framework for understanding population-level responses to environmental change.
• The developed computational algorithm offers a versatile tool for ecological research and conservation.
• The model highlights the critical role of water balance in amphibian survival.