Linking behavioral states to landscape features for improved conservation management

Area of Science:

• Wildlife Ecology
• Conservation Biology
• Behavioral Ecology

Background:

• Understanding animal habitat use is crucial for effective conservation, yet linking specific behaviors to landscape features remains challenging.
• Golden eagles (Aquila chrysaetos) inhabit diverse landscapes, and their conservation requires knowledge of how different behaviors relate to environmental variables.

Purpose of the Study:

• To identify distinct behavioral states of golden eagles in the Sonoran and Mojave Deserts using behavioral change point analysis.
• To determine the habitat associations for each identified behavioral state to inform conservation strategies.

Main Methods:

• Utilized 186,859 GPS points from 48 golden eagles to model behavior.
• Applied behavioral change point analysis to segment movement data into distinct behavioral states.
• Correlated behavioral states with environmental variables such as altitude above ground level (AGL), terrain, and slope aspect.

Main Results:

• Identified four distinct behavioral states characterized by different movement patterns and altitudes above ground level (AGL).
• Short-distance movements (perching, low-altitude hunting) were linked to low AGL, higher elevations, steep, north-facing terrain.
• Longer-distance movements (hunting, transiting) were associated with gentle, south-facing slopes and desert updraft environments.

Conclusions:

• Behavioral state differentiation is strongly related to altitude above ground level (AGL) and specific landscape features.
• Habitat associations vary significantly between different golden eagle behavioral states, providing a basis for targeted conservation.
• The methodology offers a transferable framework for identifying behavior-specific habitat associations for other species of conservation concern.