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When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers
From micro to planetary scales, spatial heterogeneity—patchiness—is ubiquitous in ecosystems, defining the environments in which organisms move and interact. However, most large‐scale models still use spatially averaged ‘mean fields’ to represent natural populations, while fine‐scale spatially expli...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545138/ https://www.ncbi.nlm.nih.gov/pubmed/35315562 http://dx.doi.org/10.1111/ele.13987 |
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author | Urmy, Samuel S. Cramer, Alli N. Rogers, Tanya L. Sullivan‐Stack, Jenna Schmidt, Marian Stewart, Simon D. Symons, Celia C. |
author_facet | Urmy, Samuel S. Cramer, Alli N. Rogers, Tanya L. Sullivan‐Stack, Jenna Schmidt, Marian Stewart, Simon D. Symons, Celia C. |
author_sort | Urmy, Samuel S. |
collection | PubMed |
description | From micro to planetary scales, spatial heterogeneity—patchiness—is ubiquitous in ecosystems, defining the environments in which organisms move and interact. However, most large‐scale models still use spatially averaged ‘mean fields’ to represent natural populations, while fine‐scale spatially explicit models are mostly restricted to particular organisms or systems. In a conceptual paper, Grünbaum (2012, Interface Focus 2: 150–155) introduced a heuristic, based on three dimensionless ratios quantifying movement, reproduction and resource consumption, to characterise patchy ecological interactions and identify when mean‐field assumptions are justifiable. We calculated these dimensionless numbers for 33 interactions between consumers and their resource patches in terrestrial, aquatic and aerial environments. Consumers ranged in size from bacteria to whales, and patches lasted from minutes to millennia, with separation scales from mm to hundreds of km. No interactions could be accurately represented by naive mean‐field models, though 19 (58%) could be partially simplified by averaging out movement, reproductive or consumption dynamics. Clustering interactions by their non‐dimensional ratios revealed several unexpected dynamic similarities. For example, bacterial Pseudoalteromonas exploit nutrient plumes similarly to Mongolian gazelles grazing on ephemeral steppe vegetation. We argue that dimensional analysis is valuable for characterising ecological patchiness and can link widely different systems into a single quantitative framework. |
format | Online Article Text |
id | pubmed-9545138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95451382022-10-14 When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers Urmy, Samuel S. Cramer, Alli N. Rogers, Tanya L. Sullivan‐Stack, Jenna Schmidt, Marian Stewart, Simon D. Symons, Celia C. Ecol Lett Synthesis From micro to planetary scales, spatial heterogeneity—patchiness—is ubiquitous in ecosystems, defining the environments in which organisms move and interact. However, most large‐scale models still use spatially averaged ‘mean fields’ to represent natural populations, while fine‐scale spatially explicit models are mostly restricted to particular organisms or systems. In a conceptual paper, Grünbaum (2012, Interface Focus 2: 150–155) introduced a heuristic, based on three dimensionless ratios quantifying movement, reproduction and resource consumption, to characterise patchy ecological interactions and identify when mean‐field assumptions are justifiable. We calculated these dimensionless numbers for 33 interactions between consumers and their resource patches in terrestrial, aquatic and aerial environments. Consumers ranged in size from bacteria to whales, and patches lasted from minutes to millennia, with separation scales from mm to hundreds of km. No interactions could be accurately represented by naive mean‐field models, though 19 (58%) could be partially simplified by averaging out movement, reproductive or consumption dynamics. Clustering interactions by their non‐dimensional ratios revealed several unexpected dynamic similarities. For example, bacterial Pseudoalteromonas exploit nutrient plumes similarly to Mongolian gazelles grazing on ephemeral steppe vegetation. We argue that dimensional analysis is valuable for characterising ecological patchiness and can link widely different systems into a single quantitative framework. John Wiley and Sons Inc. 2022-03-22 2022-05 /pmc/articles/PMC9545138/ /pubmed/35315562 http://dx.doi.org/10.1111/ele.13987 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Synthesis Urmy, Samuel S. Cramer, Alli N. Rogers, Tanya L. Sullivan‐Stack, Jenna Schmidt, Marian Stewart, Simon D. Symons, Celia C. When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title | When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title_full | When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title_fullStr | When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title_full_unstemmed | When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title_short | When are bacteria really gazelles? Comparing patchy ecologies with dimensionless numbers |
title_sort | when are bacteria really gazelles? comparing patchy ecologies with dimensionless numbers |
topic | Synthesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545138/ https://www.ncbi.nlm.nih.gov/pubmed/35315562 http://dx.doi.org/10.1111/ele.13987 |
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