Biologging as an important tool to uncover behaviors of cryptic species: an analysis of giant armadillos (Priodontes maximus)

PeerJ. 2023 Jan 18:11:e14726. doi: 10.7717/peerj.14726. eCollection 2023.

Abstract

Advances in biologging have increased the understanding of how animals interact with their environment, especially for cryptic species. For example, giant armadillos (Priodontes maximus) are the largest extant species of armadillo but are rarely encountered due to their fossorial and nocturnal behavior. Through the analysis of speed, turning angles, and accelerometer activity counts, we estimated behavioral states, characterized activity budgets, and investigated the state-habitat associations exhibited by individuals monitored with GPS telemetry in the Brazilian Pantanal from 2019 to 2020. This methodology is proposed as a useful framework for the identification of priority habitat. Using the non-parametric Bayesian mixture model for movement (M3), we estimated four latent behavioral states that were named 'vigilance-excavation', 'local search', 'exploratory', and 'transit'. These states appeared to correspond with behavior near burrows or termite mounds, foraging, ranging, and rapid movements, respectively. The first and last hours of activity presented relatively high proportions of the vigilance-excavation state, while most of the activity period was dominated by local search and exploratory states. The vigilance-excavation state occurred more frequently in regions between forest and closed savannas, whereas local search was more likely in high proportions of closed savanna. Exploratory behavior probability increased in areas with high proportions of both forest and closed savanna. Our results establish a baseline for behavioral complexity, activity budgets, and habitat associations in a relatively pristine environment that can be used for future work to investigate anthropogenic impacts on giant armadillo behavior and fitness. The integration of accelerometer and GPS-derived movement data through our mixture model has the potential to become a powerful methodological approach for the conservation of other cryptic species.

Keywords: Accelerometry; Bayesian mixture model; Habitat requirements; Neotropical savannas; Priodontes maximus; Telemetry.

MeSH terms

  • Animals
  • Armadillos*
  • Bayes Theorem
  • Brazil
  • Ecosystem*
  • Forests

Grants and funding

This study is part of the Giant Armadillo Conservation Program and has been funded by: the Houston Zoo, Naples Zoo, Fresno Chaffee Zoo, Disney Conservation Grant, Chester Zoo, Jacksonville Zoo and Gardens, Conservation Grants Fund, RZSS, La passerelle Conservation, Beauval Nature, Parc Animalier D’Auvergne, Riverbanks Zoo & Garden, Sacramento Zoo, Augsburg Zoo, Abilene Zoo, Association Française des Parcs Zoologiques, Association Francophone des Vétérinaires de Parc Zoologique, Bergen County Zoological Park, Idea Wild, CERZA Safaris en Normandie, Nature Research, Wilhelma Zoologisch-Botanischer Garten Stuttgart, Taiwan Forestry Bureau, The Mohamed bin Zayed Species Conservation Fund, Play for Nature, Atlanta Zoo and the Whitley Fund for Nature. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.