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Understanding movement data and movement processes: current and emerging directions

Research output: Contribution to journalReview article

Author(s)

Robert Schilling Schick, Scott R. Loarie, Fernando Colchero, Benjamin D. Best, Andre Boustany, Dalia A. Conde, Patrick N. Halpin, Lucas N. Joppa, Catherine M. McClellan, James S. Clark

School/Research organisations

Abstract

Animal movement has been the focus on much theoretical and empirical work in ecology over the last 25 years. By studying the causes and consequences of individual movement, ecologists have gained greater insight into the behavior of individuals and the spatial dynamics of populations at increasingly higher levels of organization. In particular, ecologists have focused on the interaction between individuals and their environment in an effort to understand future impacts from habitat loss and climate change. Tools to examine this interaction have included: fractal analysis, first passage time, Levy flights, multi-behavioral analysis, hidden markov models, and state-space models. Concurrent with the development of movement models has been an increase in the sophistication and availability of hierarchical bayesian models. In this review we bring these two threads together by using hierarchical structures as a framework for reviewing individual models. We synthesize emerging themes in movement ecology, and propose a new hierarchical model for animal movement that builds on these emerging themes. This model moves away from traditional random walks, and instead focuses inference on how moving animals with complex behavior interact with their landscape and make choices about its suitability.

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Details

Original languageEnglish
Pages (from-to)1338-1350
Number of pages13
JournalEcology Letters
Volume11
Issue number12
DOIs
Publication statusPublished - Dec 2008

    Research areas

  • Animal movement, first passage time, fractal analysis, hierarchical Bayes, Levy flights, resource selection functions, spatial ecology, state-space models, telemetry, STATE-SPACE MODELS, FLIGHT SEARCH PATTERNS, CORRELATED RANDOM-WALK, MARK-RECAPTURE DATA, HOME-RANGE MODELS, ANIMAL MOVEMENT, HETEROGENEOUS LANDSCAPES, WANDERING ALBATROSSES, POPULATION-DYNAMICS, SATELLITE-TRACKING

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