ReviewMovement ecology2026
Challenges and approaches in tracking and analyzing movement of ground-dwelling insects.
Review in Movement ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Context-Dependent Movement Responses of Large Carabids to Forest Gap Cuttings.Ecology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.