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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
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Joint species movement modeling: how do traits influence movements?

Otso Ovaskainen1,2, Danielle Leal Ramos3, Eleanor M Slade4

  • 1Organismal and Evolutionary Biology Research Programme, University of Helsinki, P.O. Box 65, Helsinki, 00014, Finland.

Ecology
|January 16, 2019
PubMed
Summary

Joint species movement modeling (JSMM) infers movement patterns from multispecies data. This approach uses species traits and phylogeny to reveal how traits influence animal movements, improving ecological understanding.

Keywords:
birdscommunity modelhierarchical modeljoint species modelmothsmovement modelstatistical model

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Area of Science:

  • Ecology
  • Movement Ecology
  • Quantitative Biology

Background:

  • Joint species distribution modeling (JSDM) advanced community-level ecological analyses.
  • Existing methods often analyze species movement individually, limiting community-level insights.

Purpose of the Study:

  • Introduce joint species movement modeling (JSMM) for analyzing multispecies movement data.
  • Infer species- and community-level movement parameters.
  • Investigate the influence of species traits and phylogeny on movement behavior.

Main Methods:

  • Developed a JSMM framework integrating species traits and phylogenetic relationships.
  • Applied JSMM to bird movement data using a stochastic redistribution model.
  • Utilized JSMM with a spatially structured diffusion model for moth capture-recapture data.

Main Results:

  • JSMM identified key traits, like body size, influencing movement rates in birds and moths.
  • Demonstrated increased precision in species-specific movement parameter estimates through information borrowing.
  • Showcased JSMM's ability to link traits to interspecific variation in movement.

Conclusions:

  • JSMM provides a statistically efficient and ecologically informative approach to multispecies movement analysis.
  • The framework enhances mechanistic understanding of variation in animal movement.
  • JSMM is broadly applicable across diverse datasets and taxa.