Building the bridge between animal movement and population dynamics

Area of Science:

• Ecology
• Movement Ecology
• Population Dynamics

Background:

• Mechanistic links between animal movement and population dynamics are established but often lack predictive power.
• Technological advancements (e.g., GPS) allow concurrent tracking of animal location, landscape data, and individual physiology.

Purpose of the Study:

• To elucidate when detailed animal movement data becomes essential for understanding and predicting population dynamics.
• To explore the integration of spatial, social, and memory-informed models for improved ecological insights.

Main Methods:

• Utilizing GPS and other tracking technologies for detailed animal location data acquisition.
• Developing 'spatially informed' movement models linking behavior, time allocation, and individual fitness (survival, reproduction).
• Proposing 'socially informed' models for group dynamics (fission-fusion) and incorporating long-term memory and intention into movement models.

Main Results:

• Spatially informed models refine understanding of behavior-condition links and their impact on fitness.
• Socially informed models are necessary for species exhibiting complex group movements and fission-fusion dynamics.
• Incorporating memory and intention into movement models is foreseen as a future advancement.

Conclusions:

• Animal movement patterns significantly influence population mixing rates, affecting intra- and interspecific interactions.
• The level of detail required in movement models depends on the mixing rate and ecological heterogeneity.
• Integrating advanced movement ecology approaches is key to robust population dynamics predictions.