Habitat-performance relationships: finding the right metric at a given spatial scale

Area of Science:

• Ecology
• Wildlife Biology
• Conservation Science

Background:

• Habitat ecology faces challenges due to imprecise terminology and scale-specific considerations.
• Existing bio-statistical terms for habitat use, selection, and avoidance lack consistent definition.
• Animal-borne GPS technology offers potential for clarifying habitat importance.

Purpose of the Study:

• To introduce a novel conceptual framework for assessing habitat-performance relationships (HPRs).
• To connect habitat use by animals directly with their biological performance.
• To guide future research using advanced tracking technologies.

Main Methods:

• Reviewing recent studies that merge traditional resource selection analyses with GPS tracking data.
• Integrating GPS data with information on critical life-history events (e.g., nesting, migration).
• Proposing the combination of GPS data with other animal-borne sensors and life-history information.

Main Results:

• GPS data enable new approaches to study correlates of animal performance.
• Identified habitats that facilitate crucial activities like movement and foraging.
• Demonstrated potential to link resource use across life stages with survival outcomes.

Conclusions:

• The proposed habitat-performance relationship (HPR) framework offers a clearer understanding of animal ecology.
• Long-term studies integrating GPS data are essential for assessing habitat selection consequences.
• This approach will enhance conservation strategies by informing wildlife management decisions.