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Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

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Published on: November 18, 2019

Quantifying flow-assistance and implications for movement research.

Michael U Kemp¹, Judy Shamoun-Baranes, E Emiel van Loon

¹Computational Geo-Ecology, Institute for Biodiversity and Ecosystem Dynamics, Department of Science, University of Amsterdam, P.O. Box 94248, 1090 GE Amsterdam, The Netherlands. M.U.Kemp@UvA.nl

Journal of Theoretical Biology

|June 12, 2012

Summary

Animal movement in air and water flows depends heavily on assumed behaviors. Different behavioral strategies significantly alter flow-assistance calculations, more so than minor uncertainties in speed or direction.

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Area of Science:

Biomechanics
Animal Behavior
Fluid Dynamics

Background:

Organismal movement through fluid environments (air, water) is crucial and extensively studied.
Animals employ diverse behavioral strategies to interact with environmental flows.
Quantifying flow-assistance simplifies complex movement problems but relies on assumed behaviors.

Purpose of the Study:

To evaluate how different behavioral assumptions influence flow-assistance calculations in animal movement.
To assess the sensitivity of flow-assistance equations to varying flow conditions and assumption uncertainties.
To provide a framework for selecting appropriate flow-assistance models.

Main Methods:

Developed equations for flow-assistance with increasing complexity and behavioral assumptions.
Analyzed differences in flow-assistance across equations under various theoretical flow conditions.
Simulated animal trajectories based on inherent behavioral assumptions of each equation.
Quantified sensitivity to uncertainties in animal speed and movement direction.

Main Results:

Significant differences in flow-assistance were found between equations, especially with lateral and supportive axial flows.
Behavioral strategy assumptions had a greater impact than small uncertainties in speed (<5 m/s) or direction (<10°).
Discrepancies between flow-assistance equations accumulated over simulated time and distance.

Conclusions:

The choice of behavioral strategy is critical and can introduce bias in flow-assistance quantification.
Researchers must consider the implied assumptions of flow-assistance equations within their specific study system.
A framework is provided to help researchers evaluate model suitability and interpret results accurately.