The tortoise and the antilocaprid: adapting GPS tracking and terrain data to model wildlife walking functions DOI Creative Commons
Samuel Norton Chambers, Joshua von Nonn, Matthew A. Burgess

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 29, 2025

Abstract Context The relationship between slope and terrestrial animal locomotion is key to landscape ecology but underexplored across species. This partly due a lack of scalable methodology that applies diversity wildlife. Objectives study investigates the slope-speed for two species, Texas tortoise ( Gopherus berlandieri ) pronghorn Antilocapra americana ), through combined application remote sensing, GPS tracking, behavior models, parametric distribution. While using readily available Digital Elevation Models (DEM) pronghorn, we explore use very high-resolution lidar Terrain (DTM) from Unoccupied Aerial Systems (UAS) characterize movements at micro-scales. Methods After classifying with tracking data Hidden Markov (HMMs), analyzed speed animals terrain 30-m DEM fine-scale UAS DTM tortoise, three nonlinear models: Laplace, Gauss, Lorentz. Results High-resolution DTM, coupled accurately models micro-scale, while suitable larger scale. Laplace best predicted both pronghorn. showed tortoises, which are not known rapid agile movement like have broader tolerance varying slopes fine Conclusions These findings enhance understanding species-specific offering valuable insights habitat management conservation tailored species’ behaviors capabilities.

Language: Английский

The tortoise and the antilocaprid: adapting GPS tracking and terrain data to model wildlife walking functions DOI Creative Commons
Samuel Norton Chambers, Joshua von Nonn, Matthew A. Burgess

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 29, 2025

Abstract Context The relationship between slope and terrestrial animal locomotion is key to landscape ecology but underexplored across species. This partly due a lack of scalable methodology that applies diversity wildlife. Objectives study investigates the slope-speed for two species, Texas tortoise ( Gopherus berlandieri ) pronghorn Antilocapra americana ), through combined application remote sensing, GPS tracking, behavior models, parametric distribution. While using readily available Digital Elevation Models (DEM) pronghorn, we explore use very high-resolution lidar Terrain (DTM) from Unoccupied Aerial Systems (UAS) characterize movements at micro-scales. Methods After classifying with tracking data Hidden Markov (HMMs), analyzed speed animals terrain 30-m DEM fine-scale UAS DTM tortoise, three nonlinear models: Laplace, Gauss, Lorentz. Results High-resolution DTM, coupled accurately models micro-scale, while suitable larger scale. Laplace best predicted both pronghorn. showed tortoises, which are not known rapid agile movement like have broader tolerance varying slopes fine Conclusions These findings enhance understanding species-specific offering valuable insights habitat management conservation tailored species’ behaviors capabilities.

Language: Английский

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