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Quantifying invasibility
Invasibility, the chance of a population to grow from rarity and become established, plays a fundamental role in population genetics, ecology, epidemiology and evolution. For many decades, the mean growth rate of a species when it is rare has been employed as an invasion criterion. Recent studies sh...
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/PMC9543749/ https://www.ncbi.nlm.nih.gov/pubmed/35717561 http://dx.doi.org/10.1111/ele.14031 |
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author | Pande, Jayant Tsubery, Yehonatan Shnerb, Nadav M. |
author_facet | Pande, Jayant Tsubery, Yehonatan Shnerb, Nadav M. |
author_sort | Pande, Jayant |
collection | PubMed |
description | Invasibility, the chance of a population to grow from rarity and become established, plays a fundamental role in population genetics, ecology, epidemiology and evolution. For many decades, the mean growth rate of a species when it is rare has been employed as an invasion criterion. Recent studies show that the mean growth rate fails as a quantitative metric for invasibility, with its magnitude sometimes even increasing while the invasibility decreases. Here we provide two novel formulae, based on the diffusion approximation and a large‐deviations (Wentzel–Kramers–Brillouin) approach, for the chance of invasion given the mean growth and its variance. The first formula has the virtue of simplicity, while the second one holds over a wider parameter range. The efficacy of the formulae, including their accompanying data analysis technique, is demonstrated using synthetic time series generated from canonical models and parameterised with empirical data. |
format | Online Article Text |
id | pubmed-9543749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95437492022-10-14 Quantifying invasibility Pande, Jayant Tsubery, Yehonatan Shnerb, Nadav M. Ecol Lett Letters Invasibility, the chance of a population to grow from rarity and become established, plays a fundamental role in population genetics, ecology, epidemiology and evolution. For many decades, the mean growth rate of a species when it is rare has been employed as an invasion criterion. Recent studies show that the mean growth rate fails as a quantitative metric for invasibility, with its magnitude sometimes even increasing while the invasibility decreases. Here we provide two novel formulae, based on the diffusion approximation and a large‐deviations (Wentzel–Kramers–Brillouin) approach, for the chance of invasion given the mean growth and its variance. The first formula has the virtue of simplicity, while the second one holds over a wider parameter range. The efficacy of the formulae, including their accompanying data analysis technique, is demonstrated using synthetic time series generated from canonical models and parameterised with empirical data. John Wiley and Sons Inc. 2022-06-18 2022-08 /pmc/articles/PMC9543749/ /pubmed/35717561 http://dx.doi.org/10.1111/ele.14031 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letters Pande, Jayant Tsubery, Yehonatan Shnerb, Nadav M. Quantifying invasibility |
title | Quantifying invasibility |
title_full | Quantifying invasibility |
title_fullStr | Quantifying invasibility |
title_full_unstemmed | Quantifying invasibility |
title_short | Quantifying invasibility |
title_sort | quantifying invasibility |
topic | Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543749/ https://www.ncbi.nlm.nih.gov/pubmed/35717561 http://dx.doi.org/10.1111/ele.14031 |
work_keys_str_mv | AT pandejayant quantifyinginvasibility AT tsuberyyehonatan quantifyinginvasibility AT shnerbnadavm quantifyinginvasibility |