Modelling individual variability in habitat selection and movement using integrated step‐selection analysis

Details

• Journal Title:
  Methods in Ecology and Evolution
• Personal Author:
  Chatterjee, Nilanjan ; Wolfson, David ; Kim, Dongmin ; Velez, Juliana ; Freeman, Smith ; Bacheler, Nathan M. ; Shertzer, Kyle ; Taylor, J. Christopher ; Fieberg, John
• NOAA Program & Office:
  NMFS (National Marine Fisheries Service) ; NOS (National Ocean Service) ; NCCOS (National Centers for Coastal Ocean Science) ; SEFSC (Southeast Fisheries Science Center)
• Description:
  Integrated step-selection analysis (ISSA) is frequently used to study habitat selection using animal movement data. Methods for incorporating random effects in ISSA have been developed, making it possible to quantify variability among animals in their space-use patterns. Although it is possible to model variability in both habitat selection and movement parameters, applications to date have focused on the former despite the widely acknowledged and important role that movement plays in determining ecological processes from the individual to ecosystem level. One potential explanation for this omission is the absence of readily available software or examples demonstrating methods for estimating movement parameters in ISSA with random effects.
• Source:
  Methods in Ecology and Evolution, 15(6), 1034-1047
• DOI:
  https://doi.org/10.1111/2041-210X.14321
• ISSN:
  2041-210X ; 2041-210X
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by-nc/4.0/
• Rights Information:
  CC BY-NC
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:cd96b9134a919de258d5c0ad6bcec82d5329cb9ef7859e6f3c7af579d7e2c0392065a13e928a77d7e728b79462f1b84c32b5e9074f397cb853ec5ccaa75f153d
• Download URL:
  https://repository.library.noaa.gov/view/noaa/66703/noaa_66703_DS1.pdf
• File Type:
  [PDF - 4.89 MB ]