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Resource Distribution and Internal Factors Interact to Govern Movement of a Freshwater Snail

Overview
Journal Proc Biol Sci
Specialty Biology
Date 2019 Sep 26
PMID 31551058
Citations 2
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Abstract

Movement enables mobile organisms to respond to local environmental conditions and is driven by a combination of external and internal factors operating at multiple scales. Here, we explored how resource distribution interacted with the internal state of organisms to drive patterns of movement. Specifically, we tracked snail movements on experimental landscapes where resource (algal biofilm) distribution varied from 0 to 100% coverage and quantified how that movement changed over a 24 h period. Resource distribution strongly affected snail movement. Trajectories were tortuous (i.e. Brownian-like) within resource patches but straighter (i.e. Lévy) in resource-free (bare) patches. The average snail speed was slower in resource patches, where snails spent most of their time. Different patterns of movement between resource and bare patches explained movement at larger spatial scales; movement was ballistic-like Lévy in resource-free landscapes, Lévy in landscapes with intermediate resource coverage and approximated Brownian in landscapes covered in resources. Our temporal analysis revealed that movement patterns changed predictably for snails that satiated their hunger and then performed other behaviours. These changes in movement patterns through time were similar across all treatments that contained resources. Thus, external and internal factors interacted to shape the inherently flexible movement of these snails.

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References
1.
James A, Plank M, Brown R . Optimizing the encounter rate in biological interactions: Ballistic versus Lévy versus Brownian strategies. Phys Rev E Stat Nonlin Soft Matter Phys. 2008; 78(5 Pt 1):051128. DOI: 10.1103/PhysRevE.78.051128. View

2.
Humphries N, Weimerskirch H, Queiroz N, Southall E, Sims D . Foraging success of biological Lévy flights recorded in situ. Proc Natl Acad Sci U S A. 2012; 109(19):7169-74. PMC: 3358854. DOI: 10.1073/pnas.1121201109. View

3.
Reynolds A, Smith A, Menzel R, Greggers U, Reynolds D, Riley J . Displaced honey bees perform optimal scale-free search flights. Ecology. 2007; 88(8):1955-61. DOI: 10.1890/06-1916.1. View

4.
Jeanson R, Blanco S, Fournier R, Deneubourg J, Fourcassie V, Theraulaz G . A model of animal movements in a bounded space. J Theor Biol. 2003; 225(4):443-51. DOI: 10.1016/s0022-5193(03)00277-7. View

5.
Nathan R, Getz W, Revilla E, Holyoak M, Kadmon R, Saltz D . A movement ecology paradigm for unifying organismal movement research. Proc Natl Acad Sci U S A. 2008; 105(49):19052-9. PMC: 2614714. DOI: 10.1073/pnas.0800375105. View