Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders

Juliana Vélez, William McShea, Budhan Pukazhenthi, Pablo Stevenson, John Fieberg

Research output: Contribution to journalArticlepeer-review

Abstract

Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co-occurrence between wildlife and disturbance factors, such as poaching activity and domesticated ungulates, is key to successful management of multifunctional landscapes. Tools to measure co-occurrence between wildlife and disturbance factors include camera traps and autonomous acoustic recording units. We paired 52 camera-trap stations with acoustic recorders to investigate the association between 2 measures of disturbance (poaching and cattle) and wild ungulates present in multifunctional landscapes of the Colombian Orinoquía. We used joint species distribution models to investigate species–habitat associations and species–disturbance correlations. One model was fitted using camera-trap data to detect wild ungulates and disturbance factors, and a second model was fitted after replacing camera-trap detections of disturbance factors with their corresponding acoustic detections. The direction, significance, and precision of the effect of covariates depended on the sampling method used for disturbance factors. Acoustic monitoring typically resulted in more precise estimates of the effects of covariates and of species–disturbance correlations. Association patterns between wildlife and disturbance factors were found only when disturbance was detected by acoustic recorders. Camera traps allowed us to detect nonvocalizing species, whereas audio recording devices increased detection of disturbance factors leading to more precise estimates of co-occurrence patterns. The collared peccary (Pecari tajacu), lowland tapir (Tapirus terrestris), and white-tailed deer (Odocoileus virginianus) co-occurred with disturbance factors and are conservation priorities due to the greater risk of poaching or disease transmission from cattle.

Original languageEnglish (US)
JournalConservation Biology
DOIs
StateAccepted/In press - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.

Keywords

  • aprendizaje automático
  • autonomous acoustic recording units
  • camera traps
  • community ecology
  • ecología de comunidades
  • fototrampas
  • joint species distribution models
  • machine learning
  • modelos conjuntos de distribución de especies
  • monitoreo acústico pasivo
  • multispecies occupancy
  • ocupación multiespecie
  • passive acoustic monitoring
  • unidades autónomas de grabación acústica
  • 多物种占地模型
  • 机器学习
  • 红外相机
  • 群落生态学
  • 联合物种分布模型
  • 自主声学记录装置
  • 被动声学监测

PubMed: MeSH publication types

  • Journal Article

Fingerprint

Dive into the research topics of 'Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders'. Together they form a unique fingerprint.

Cite this