Using Fractal Analyses to Characterize Movement Paths of White-Tailed Deer and Response to Spatial Scale

Webb, Stephen L.; Riffell, Samuel K.; Gee, Kenneth L.; Demarais, Stephen

doi:10.1644/08-mamm-a-278.1

Cited by 41 publications

(56 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The estimated relative displacement index was one approach to incorporating information on behavior to strengthen inference on resource needs (Figures 1 and 2). Other approaches to identify behavioral modes or to assign data to defined modes have involved random walk models (Wu et al 2000), cluster analysis (Van Moorter et al 2010), state-space models (Jonsen et al 2005), fractals (Etzenhouser et al 1998;Webb et al 2009), and generalized additive models (Dzialak et al 2011a). Results of the resource Raster surfaces depicting encamped and traveling behavior of greater sage-grouse (Centrocercus urophasianus) in south-central Wyoming, USA, during 2009 to 2012 were developed with the predicted probability of occurrence classified into ten relative probability bins (1 = lowest, 10 = highest) that included 10% of the landscape area.…”

Section: Discussionmentioning

confidence: 99%

Incorporating within- and between-patch resource selection in identification of critical habitat for brood-rearing greater sage-grouse

Dzialak¹,

Olson²,

Webb

et al. 2015

Ecol Process

View full text Add to dashboard Cite

Introduction: Incorporating information on animal behavior in resource-based predictive modeling (e.g., occurrence mapping) can elucidate the relationship between process and spatial pattern and depict habitat in terms of its structure as well as its function. In this paper, we assigned location data on brood-rearing greater sage-grouse (Centrocercus urophasianus) to either within-patch (encamped) or between-patch (traveling) behavioral modes by estimating a movement-based relative displacement index. Objectives were to estimate and validate spatially explicit models of within-versus between-patch resource selection for application in habitat management and compare these models to a non-behaviorally adjusted model.

show abstract

Section: Discussionmentioning

confidence: 99%

Incorporating within- and between-patch resource selection in identification of critical habitat for brood-rearing greater sage-grouse

Dzialak¹,

Olson²,

Webb

et al. 2015

Ecol Process

View full text Add to dashboard Cite

show abstract

“…the mating-effort hypothesis). For males, most of the cost of reproduction occurs during the rut, as males increase movements (Webb et al 2009b(Webb et al , 2010b and activity, and forego eating to search for mates (Mysterud et al 2008;Hewitt 2011). Adult males may lose up to 30% of their mass during rut, and most natural mortality of adult males occurs during the post-rut period (Gavin et al 1984;Ditchkoff et al 2001;Webb et al 2007).…”

Section: Discussionmentioning

confidence: 99%

Variance component analysis of body mass in a wild population of deer (Odocoileus virginianus): results from two decades of research

et al. 2013

Self Cite

View full text Add to dashboard Cite

Context. Long-term studies of large, vertebrate mammals using capture-recapture data are scarce, even though long-term ecological studies are requisite to understanding quantitative genetics and evolutionary processes that can be applied as part of management programs.Aims. Objectives were to (1) partition components of variation in body mass to understand the differential effects of environmental variation on the sexes during ontogeny, to better prescribe habitat-improvement projects, and (2) estimate repeatability to assess potential for selection on body mass.Methods. We used a 23-year dataset of capture-recapture records of wild white-tailed deer (Odocoileus virginianus) to estimate components of variance and repeatability of body mass. We used an animal-model approach that employed the use of general linear mixed models and restricted maximum likelihood to adjust for the effects of age (i.e. fixed effect), and to partition the total phenotypic variance into among-individual (i.e. the deer), permanent environmental (i.e. year of birth) and temporary environmental (i.e. year of measurement and residual) effects (all modelled as random effects).Key results. We found that body mass increased with age in both sexes, repeatability of body mass was 0.595 for females and 0.716 for males, and among-individual variation was more influential on body mass than were permanent and temporary environmental effects combined. Year of birth was more important in males than females, but changed during the course of ontogeny for both sexes. Year of measurement did not influence post-rut body mass in males, but did contribute to variation in body mass of females.Conclusions. These long-term data offer insights into the sources of variation that influence body mass of deer, which can be used to understand how environmental sources of variation influence phenotypic traits, and for developing management plans and making selection decisions.Implications. Knowledge of repeatability (as an upper limit to heritability) can be used to make management decisions related to selection, culling and breeding, whereas understanding environmental effects can lead to better management recommendations (e.g. habitat-improvement projects).

show abstract

“…They found out that the foraging paths of goats are more complex, having greater fractal dimension. In another work, Webb et al [17] did fractal analysis to characterize movement paths of white-tailed deer. They found that females' movement path is more complex than males and concluded that females are able to forage more intensively in a smaller area.…”

Section: Fractals Theory and Complexity Analysismentioning

confidence: 99%

Fractal Based Analysis of Movement Behavior in Animal Foraging

2017

ARC Journal of Neuroscience

View full text Add to dashboard Cite

Using Fractal Analyses to Characterize Movement Paths of White-Tailed Deer and Response to Spatial Scale

Cited by 41 publications

References 43 publications

Incorporating within- and between-patch resource selection in identification of critical habitat for brood-rearing greater sage-grouse

Incorporating within- and between-patch resource selection in identification of critical habitat for brood-rearing greater sage-grouse

Variance component analysis of body mass in a wild population of deer (Odocoileus virginianus): results from two decades of research

Fractal Based Analysis of Movement Behavior in Animal Foraging

Contact Info

Product

Resources

About