Literature DB >> 22683380

Quantifying flow-assistance and implications for movement research.

Michael U Kemp1, Judy Shamoun-Baranes, E Emiel van Loon, James D McLaren, Adriaan M Dokter, Willem Bouten.   

Abstract

The impact that flows of air and water have on organisms moving through these environments has received a great deal of attention in theoretical and empirical studies. There are many behavioral strategies that animals can adopt to interact with these flows, and by assuming one of these strategies a researcher can quantify the instantaneous assistance an animal derives from a particular flow. Calculating flow-assistance in this way can provide an elegant simplification of a multivariate problem to a univariate one and has many potential uses; however, the resultant flow-assistance values are inseparably linked to the specific behavioral strategy assumed. We expect that flow-assistance may differ considerably depending on the behavioral strategy assumed and the accuracy of the assumptions associated with that strategy. Further, we expect that the magnitude of these differences may depend on the specific flow conditions. We describe equations to quantify flow-assistance of increasing complexity (i.e. more assumptions), focusing on the behavioral strategies assumed by each. We illustrate differences in suggested flow-assistance between these equations and calculate the sensitivity of each equation to uncertainty in its particular assumptions for a range of theoretical flow conditions. We then simulate trajectories that occur if an animal behaves according to the assumptions inherent in these equations. We find large differences in flow-assistance between the equations, particularly with increasing lateral flow and increasingly supportive axial flow. We find that the behavioral strategy assumed is generally more influential on the perception of flow-assistance than a small amount of uncertainty in the specification of an animal's speed (i.e. <5 ms(-1)) or preferred direction of movement (i.e. <10°). Using simulated trajectories, we show that differences between flow-assistance equations can accumulate over time and distance. The appropriateness and potential biases of an equation to quantify flow-assistance, and the behavioral assumptions the equation implies, must be considered in the context of the system being studied, particularly when interpreting results. Thus, we offer this framework for researchers to evaluate the suitability of a particular flow-assistance equation and assess the implications of its use.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22683380     DOI: 10.1016/j.jtbi.2012.05.026

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  19 in total

1.  Corticosterone and timing of migratory departure in a songbird.

Authors:  Cas Eikenaar; Florian Müller; Clara Leutgeb; Sven Hessler; Konstantin Lebus; Philip D Taylor; Heiko Schmaljohann
Journal:  Proc Biol Sci       Date:  2017-01-11       Impact factor: 5.349

2.  Negotiating an ecological barrier: crossing the Sahara in relation to winds by common swifts.

Authors:  Susanne Åkesson; Giuseppe Bianco; Anders Hedenström
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-26       Impact factor: 6.237

3.  Adult vultures outperform juveniles in challenging thermal soaring conditions.

Authors:  Roi Harel; Nir Horvitz; Ran Nathan
Journal:  Sci Rep       Date:  2016-06-13       Impact factor: 4.379

4.  Wind selectivity and partial compensation for wind drift among nocturnally migrating passerines.

Authors:  James D McLaren; Judy Shamoun-Baranes; Willem Bouten
Journal:  Behav Ecol       Date:  2012-08-17       Impact factor: 2.671

5.  Flying with the wind: scale dependency of speed and direction measurements in modelling wind support in avian flight.

Authors:  Kamran Safi; Bart Kranstauber; Rolf Weinzierl; Larry Griffin; Eileen C Rees; David Cabot; Sebastian Cruz; Carolina Proaño; John Y Takekawa; Scott H Newman; Jonas Waldenström; Daniel Bengtsson; Roland Kays; Martin Wikelski; Gil Bohrer
Journal:  Mov Ecol       Date:  2013-07-03       Impact factor: 3.600

6.  The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data.

Authors:  Somayeh Dodge; Gil Bohrer; Rolf Weinzierl; Sarah C Davidson; Roland Kays; David Douglas; Sebastian Cruz; Jiawei Han; David Brandes; Martin Wikelski
Journal:  Mov Ecol       Date:  2013-07-03       Impact factor: 3.600

7.  Nocturnally migrating songbirds drift when they can and compensate when they must.

Authors:  Kyle G Horton; Benjamin M Van Doren; Phillip M Stepanian; Wesley M Hochachka; Andrew Farnsworth; Jeffrey F Kelly
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

8.  High altitude bird migration at temperate latitudes: a synoptic perspective on wind assistance.

Authors:  Adriaan M Dokter; Judy Shamoun-Baranes; Michael U Kemp; Sander Tijm; Iwan Holleman
Journal:  PLoS One       Date:  2013-01-03       Impact factor: 3.240

9.  Using nocturnal flight calls to assess the fall migration of warblers and sparrows along a coastal ecological barrier.

Authors:  Adam D Smith; Peter W C Paton; Scott R McWilliams
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

10.  Optimal orientation in flows: providing a benchmark for animal movement strategies.

Authors:  James D McLaren; Judy Shamoun-Baranes; Adriaan M Dokter; Raymond H G Klaassen; Willem Bouten
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.