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Analyzing animal movements using Brownian bridges

Horne, J.S ; Garton, E.O ; Krone, S.M ; Lewis, J.S

Ecology (Durham), 2007-09, Vol.88 (9), p.2354-2363 [Periódico revisado por pares]

Washington, DC: Ecological Society of America

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Título:
Analyzing animal movements using Brownian bridges
Autor: Horne, J.S ; Garton, E.O ; Krone, S.M ; Lewis, J.S
Assuntos: Analysis ; Animal and plant ecology ; Animal behavior ; animal ecology ; Animal Migration ; Animal migration behavior ; Animal, plant and microbial ecology ; Animals ; Animals, Wild ; Biological and medical sciences ; Brownian bridge ; Brownian motion ; dispersal behavior ; Ecological modeling ; Ecosystem ; equations ; Fundamental and applied biological sciences. Psychology ; General aspects ; home range ; Likelihood Functions ; Maximum likelihood estimation ; migration ; migration behavior ; Models, Biological ; Musical intervals ; Perceptual localization ; Population Density ; population distribution ; Population Dynamics ; probability analysis ; random walk ; resource selection ; road crossings ; Spatial Behavior ; Statistical variance ; Stochastic models ; stochastic process ; Stochastic Processes ; utilization distribution ; Wildlife ecology ; Zoology
É parte de: Ecology (Durham), 2007-09, Vol.88 (9), p.2354-2363
Notas: http://dx.doi.org/10.1890/06-0957.1
Corresponding Editor: A. M. de Roos.
ObjectType-Article-1
SourceType-Scholarly Journals-1
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Descrição: By studying animal movements, researchers can gain insight into many of the ecological characteristics and processes important for understanding population-level dynamics. We developed a Brownian bridge movement model (BBMM) for estimating the expected movement path of an animal, using discrete location data obtained at relatively short time intervals. The BBMM is based on the properties of a conditional random walk between successive pairs of locations, dependent on the time between locations, the distance between locations, and the Brownian motion variance that is related to the animal's mobility. We describe two critical developments that enable widespread use of the BBMM, including a derivation of the model when location data are measured with error and a maximum likelihood approach for estimating the Brownian motion variance. After the BBMM is fitted to location data, an estimate of the animal's probability of occurrence can be generated for an area during the time of observation. To illustrate potential applications, we provide three examples: estimating animal home ranges, estimating animal migration routes, and evaluating the influence of fine-scale resource selection on animal movement patterns.
Editor: Washington, DC: Ecological Society of America
Idioma: Inglês

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Analyzing animal movements using Brownian bridges

Horne, J.S ; Garton, E.O ; Krone, S.M ; Lewis, J.S

Washington, DC: Ecological Society of America

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