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• W2887976525 abstract "Research studies on movement processes and biodiversity patterns are two currently dominating ecological disciplines yet they are still difficult to link. This is because research on biodiversity patterns and movement trajectories mainly takes place at a large landscape scale, whereas mechanistic research on movement and behavior is carried out at smaller laboratory or field-experimental scales. Generating trait-based movement models by including species traits (such as body mass or locomotion mode) as predictors of movement capacities will help to bridge this gap across spatial scales. Integrating mechanistic models of movement and behavior into large-scale movement ecology and biodiversity research is one of the major challenges in current ecological science. This is mainly due to a large gap between the spatial scales at which these research lines act. Here, we propose to apply trait-based movement models to bridge this gap and generalize movement trajectories across species and ecosystems. We show how to use species traits (e.g., body mass) to generate allometric random walks and illustrate in two worked examples how this facilitates general predictions of species-interaction traits, meta-community structures, and biodiversity patterns. Thereby, allometric random walks foster a closer integration of movement ecology and biodiversity research by scaling up from small-scale mechanistic measurements to a predictive understanding of movement and biodiversity patterns in different landscapes. Integrating mechanistic models of movement and behavior into large-scale movement ecology and biodiversity research is one of the major challenges in current ecological science. This is mainly due to a large gap between the spatial scales at which these research lines act. Here, we propose to apply trait-based movement models to bridge this gap and generalize movement trajectories across species and ecosystems. We show how to use species traits (e.g., body mass) to generate allometric random walks and illustrate in two worked examples how this facilitates general predictions of species-interaction traits, meta-community structures, and biodiversity patterns. Thereby, allometric random walks foster a closer integration of movement ecology and biodiversity research by scaling up from small-scale mechanistic measurements to a predictive understanding of movement and biodiversity patterns in different landscapes." @default.
• W2887976525 created "2018-08-22" @default.
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• W2887976525 date "2018-09-01" @default.
• W2887976525 modified "2023-10-11" @default.
• W2887976525 title "Bridging Scales: Allometric Random Walks Link Movement and Biodiversity Research" @default.
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• W2887976525 doi "https://doi.org/10.1016/j.tree.2018.07.003" @default.
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• W2887976525 hasPublicationYear "2018" @default.
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