Cargando…

On predicting particle capture rates in aquatic ecosystems

Recent advances in understanding the capture of moving suspended particles in aquatic ecosystems have opened up new possibilities for predicting rates of suspension feeding, larval settlement, seagrass pollination and sediment removal. Drawing on results from both highly-resolved computational fluid...

Descripción completa

Detalles Bibliográficos
Autores principales: Espinosa-Gayosso, Alexis, Ghisalberti, Marco, Shimeta, Jeff, Ivey, Gregory N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694431/
https://www.ncbi.nlm.nih.gov/pubmed/34937058
http://dx.doi.org/10.1371/journal.pone.0261400
_version_ 1784619354115014656
author Espinosa-Gayosso, Alexis
Ghisalberti, Marco
Shimeta, Jeff
Ivey, Gregory N.
author_facet Espinosa-Gayosso, Alexis
Ghisalberti, Marco
Shimeta, Jeff
Ivey, Gregory N.
author_sort Espinosa-Gayosso, Alexis
collection PubMed
description Recent advances in understanding the capture of moving suspended particles in aquatic ecosystems have opened up new possibilities for predicting rates of suspension feeding, larval 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 variable. 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 suspension 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, contact 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.
format Online
Article
Text
id pubmed-8694431
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-86944312021-12-23 On predicting particle capture rates in aquatic ecosystems Espinosa-Gayosso, Alexis Ghisalberti, Marco Shimeta, Jeff Ivey, Gregory N. PLoS One Research Article Recent advances in understanding the capture of moving suspended particles in aquatic ecosystems have opened up new possibilities for predicting rates of suspension feeding, larval 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 variable. 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 suspension 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, contact 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. Public Library of Science 2021-12-22 /pmc/articles/PMC8694431/ /pubmed/34937058 http://dx.doi.org/10.1371/journal.pone.0261400 Text en © 2021 Espinosa-Gayosso et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Espinosa-Gayosso, Alexis
Ghisalberti, Marco
Shimeta, Jeff
Ivey, Gregory N.
On predicting particle capture rates in aquatic ecosystems
title On predicting particle capture rates in aquatic ecosystems
title_full On predicting particle capture rates in aquatic ecosystems
title_fullStr On predicting particle capture rates in aquatic ecosystems
title_full_unstemmed On predicting particle capture rates in aquatic ecosystems
title_short On predicting particle capture rates in aquatic ecosystems
title_sort on predicting particle capture rates in aquatic ecosystems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694431/
https://www.ncbi.nlm.nih.gov/pubmed/34937058
http://dx.doi.org/10.1371/journal.pone.0261400
work_keys_str_mv AT espinosagayossoalexis onpredictingparticlecaptureratesinaquaticecosystems
AT ghisalbertimarco onpredictingparticlecaptureratesinaquaticecosystems
AT shimetajeff onpredictingparticlecaptureratesinaquaticecosystems
AT iveygregoryn onpredictingparticlecaptureratesinaquaticecosystems