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On predicting particle capture rates in aquatic ecosystems

journal contribution
posted on 2024-11-02, 18:31 authored by Alexis Espinosa-Gayosso, Marco Ghisalberti, Jeffrey ShimetaJeffrey Shimeta, Gregory Ivey
Recent advances in understanding the capture of moving suspended particles in aquatic ecosystems have opened up new possibilities for predicting rates of suspension feeding, lar- val settlement, seagrass pollination and sediment removal. Drawing on results from both highly-resolved computational fluid dynamics (CFD) simulations and existing experimental data, we quantify the controlling influence of flow velocity, particle size and collector size on rates of contact between suspended particles and biological collectors over the parameter space characterising a diverse range of aquatic ecosystems. As distinct from assumptions in previous modeling studies, the functional relationships describing capture are highly vari- able. Contact rates can vary in opposing directions in response to changes in collector size, an organism’s size, the size of particles being intercepted (related to diet in the case of sus- pension feeders), and the flow strength. Contact rates shift from decreasing to increasing with collector diameter when particles become relatively large and there is vortex shedding in the collector wake. And in some ranges of the ecologically relevant parameter space, con- tact rates do not increase strongly with velocity or particle size. The understanding of these complex dependencies allows us to reformulate some hypotheses of selection pressure on the physiology and ecology of aquatic organisms. We discuss the benefits and limitations of CFD tools in predicting rates of particle capture in aquatic ecosystems. Finally, across the complete parameter space relevant to real aquatic ecosystems, all quantitative estimates of particle capture from our model are provided here.

Funding

Predictive capability for particle capture in aquatic ecosystems

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1371/journal.pone.0261400
  2. 2.
    ISSN - Is published in 19326203

Journal

PL o S One

Volume

16

Number

e0261400

Issue

12

Start page

1

End page

19

Total pages

19

Publisher

Public Library of Science

Place published

United States

Language

English

Copyright

Copyright: © 2021 Espinosa-Gayosso et al. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License

Former Identifier

2006112148

Esploro creation date

2022-01-21

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