The movement ecology of ground-dwelling insects is essential for understanding their behavior and population dynamics. These insects, especially flightless beetles and orthopterans, exhibit cryptic lifestyles and fine-scale movements that pose unique challenges to tracking and recording their movement paths under natural field conditions. In this review, we evaluate existing tracking methods and propose an analytical framework for studying ground-dwelling insect movement, emphasizing their applications, limitations, and future directions. Traditional methods such as capture-mark-recapture and direct observation have been increasingly complemented by technologies like radio telemetry and harmonic radar, which can provide high-resolution movement trajectories. Despite these advances, many movement studies remain descriptive, focusing on basic metrics such as distances and turning angles without addressing underlying behavioral or ecological processes. Innovative analytical tools such as hidden Markov models and step-selection functions, well-established in vertebrate movement ecology, are rarely adapted to insect movement studies. This limits our ability to explore potential links between the movement of ground-dwelling insects and behavioral patterns, habitat features, or environmental changes. By framing movement analyses along a descriptive–mechanistic–predictive continuum, we highlight the need for more integrative, process-based approaches to improve our understanding of how these insects respond to habitat fragmentation and climate change. Since no single method fits all scenarios, we hope this review guides entomologists in selecting appropriate methods and analytical tools for studying ground-dwelling insects across diverse ecological contexts.
Růžičková et al. (Wed,) studied this question.