Abstract

A variety of methods are commonly used to quantify animal home ranges using location data acquired with telemetry. High-volume location data from global positioning system (GPS) technology provide researchers the opportunity to identify various intensities of use within home ranges, typically quantified through utilization distributions (UDs). However, the wide range of variability evident within UDs constructed with modern home range estimators is often overlooked or ignored during home range comparisons, and challenges may arise when summarizing distributional shifts among multiple UDs. We describe an approach to gain additional insight into home range changes by comparing UDs across isopleths and summarizing comparisons into meaningful results. To demonstrate the efficacy of this approach, we used GPS location data from 16 bighorn sheep (Ovis canadensis) to identify distributional changes before and after habitat alterations, and we discuss advantages in its application when comparing home range size, overlap, and joint-space use. We found a consistent increase in bighorn sheep home range size when measured across home range levels, but that home range overlap and similarity values decreased when examined at increasing core levels. Our results highlight the benefit of conducting multiscale assessments when comparing distributions, and we encourage researchers to expand comparative home range analyses to gain a more comprehensive evaluation of distributional changes and to evaluate comparisons across home range levels.

Highlights

  • Location data are often used to estimate animal space use to delineate the predicted area of occurrence for individuals or groups of animals

  • (2005) found that while utilization distribution overlap index (UDOI) may best estimate the degree for which two animals share the same space, the product-based Bhattacharyya’s affinity index (BA; Bhattacharyya 1943) may be more appropriate to compare overall similarity between utilization distributions; we reported both indices to compare distributions

  • By examining individual trends across home range contours, variation was identified among individual UD comparisons (Fig. 4A), providing insight into how individuals included in the sample may influence mean distributional changes

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Summary

Introduction

Location data are often used to estimate animal space use to delineate the predicted area of occurrence for individuals or groups of animals. Home range estimators have evolved to quantify home ranges using high-volume GPS data and often provide estimates of the intensity of use within the extent of the home range. These estimates are commonly represented through a cell-based output known as a utilization distribution (UD; Van Winkle 1975; Worton 1989). UDs provide information about the spatial extent of the animal’s home range as well as a measure of the spatial intensity of use, where core use areas are defined as portions of the home range that exceed equal-use patterns (Samuel et al 1985)

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