GLOBALSTAR System: An Overview

Lagarde, J. B.; Rouffet, D.; Cohen, M.

doi:10.1007/978-1-4471-3023-9_18

Cited by 2 publications

(1 citation statement)

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“…We retrieved some collars from mortalities; those had complete records of all fix attempts ( n = 20 deer). For collars not recovered before battery exhaustion, the collar attempted to upload each attempted GPS fix to a Globalstar satellite (Lagarde et al 1995) and Vectronic relayed the data via email. Data relayed by satellite was incomplete because of missed satellite uploads of GPS fix attempts but still provided adequate GPS data for evaluation ( n = 23 deer).…”

Section: Methodsmentioning

confidence: 99%

Black‐tailed deer seasonal habitat selection: accounting for missing global positioning system fixes

Vales¹,

Nielson²,

Middleton³

2022

J Wildl Manag

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Quantitative models of black-tailed deer (Odocoileus hemionus columbianus) habitat selection do not exist for Pacific Northwest landscapes but are needed to make predictions of how deer respond to timber harvest. We developed models to estimate habitat selection by black-tailed deer within seasonal home ranges in the west-central Cascade Mountains, Washington, USA, from 2008-2019. Even with moderately high global positioning system (GPS) fix success within summer and winter (both averages ≥0.87), we were concerned about landscape or vegetation characteristics causing fix success failure that would bias estimates of habitat selection. Year of GPS-collar production, deer activity, and diel period (night, day, crepuscular) were associated with fix success. The odds of acquiring a fix were 2.53 times greater when the deer were inactive compared to active, and this difference was greater for those deer with higher average percent canopy cover within their home range.These relationships only explained a portion of the variation in the data and did not negate concerns about the effects of missing locations when estimating habitat selection, so we estimated deer habitat selection within summer and winter using an integrated step selection function (iSSF) and a probability of detection integrated step selection function (PDiSSF). The iSSF ignored missing fixes; the PDiSSF accounted

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Section: Methodsmentioning

confidence: 99%