Whole community invasions and the integration of novel ecosystems
The impact of invasion by a single non-native species on the function and structure of ecological communities can be significant, and the effects can become more drastic–and harder to predict–when multiple species invade as a group. Here we modify a dynamic Boolean model of plant-pollinator communit...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2022-06-01
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Series: | PLoS Computational Biology |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173635/?tool=EBI |
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author | Colin Campbell Laura Russo Réka Albert Angus Buckling Katriona Shea |
author_facet | Colin Campbell Laura Russo Réka Albert Angus Buckling Katriona Shea |
author_sort | Colin Campbell |
collection | DOAJ |
description | The impact of invasion by a single non-native species on the function and structure of ecological communities can be significant, and the effects can become more drastic–and harder to predict–when multiple species invade as a group. Here we modify a dynamic Boolean model of plant-pollinator community assembly to consider the invasion of native communities by multiple invasive species that are selected either randomly or such that the invaders constitute a stable community. We show that, compared to random invasion, whole community invasion leads to final stable communities (where the initial process of species turnover has given way to a static or near-static set of species in the community) including both native and non-native species that are larger, more likely to retain native species, and which experience smaller changes to the topological measures of nestedness and connectance. We consider the relationship between the prevalence of mutualistic interactions among native and invasive species in the final stable communities and demonstrate that mutualistic interactions may act as a buffer against significant disruptions to the native community. Author summary The interactions between species in an ecological community can be significantly perturbed by the introduction of new (i.e., invasive) species. The impact of species introductions can be very challenging to predict, making it difficult to manage or prevent undesirable consequences (e.g., decreased crop pollination). In this report we simulate community invasion by sets of plant and pollinator species that either do or do not represent a stable community to generate predictions about the impacts on interactions in a native community. We find important differences in outcomes including, for instance, that merging two stable communities is less detrimental to the native community than the introduction of an equal number of random invasive species. |
first_indexed | 2024-12-12T07:43:19Z |
format | Article |
id | doaj.art-753969c7b6c444b29d630439bd643086 |
institution | Directory Open Access Journal |
issn | 1553-734X 1553-7358 |
language | English |
last_indexed | 2024-12-12T07:43:19Z |
publishDate | 2022-06-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS Computational Biology |
spelling | doaj.art-753969c7b6c444b29d630439bd6430862022-12-22T00:32:44ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582022-06-01186Whole community invasions and the integration of novel ecosystemsColin CampbellLaura RussoRéka AlbertAngus BucklingKatriona SheaThe impact of invasion by a single non-native species on the function and structure of ecological communities can be significant, and the effects can become more drastic–and harder to predict–when multiple species invade as a group. Here we modify a dynamic Boolean model of plant-pollinator community assembly to consider the invasion of native communities by multiple invasive species that are selected either randomly or such that the invaders constitute a stable community. We show that, compared to random invasion, whole community invasion leads to final stable communities (where the initial process of species turnover has given way to a static or near-static set of species in the community) including both native and non-native species that are larger, more likely to retain native species, and which experience smaller changes to the topological measures of nestedness and connectance. We consider the relationship between the prevalence of mutualistic interactions among native and invasive species in the final stable communities and demonstrate that mutualistic interactions may act as a buffer against significant disruptions to the native community. Author summary The interactions between species in an ecological community can be significantly perturbed by the introduction of new (i.e., invasive) species. The impact of species introductions can be very challenging to predict, making it difficult to manage or prevent undesirable consequences (e.g., decreased crop pollination). In this report we simulate community invasion by sets of plant and pollinator species that either do or do not represent a stable community to generate predictions about the impacts on interactions in a native community. We find important differences in outcomes including, for instance, that merging two stable communities is less detrimental to the native community than the introduction of an equal number of random invasive species.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173635/?tool=EBI |
spellingShingle | Colin Campbell Laura Russo Réka Albert Angus Buckling Katriona Shea Whole community invasions and the integration of novel ecosystems PLoS Computational Biology |
title | Whole community invasions and the integration of novel ecosystems |
title_full | Whole community invasions and the integration of novel ecosystems |
title_fullStr | Whole community invasions and the integration of novel ecosystems |
title_full_unstemmed | Whole community invasions and the integration of novel ecosystems |
title_short | Whole community invasions and the integration of novel ecosystems |
title_sort | whole community invasions and the integration of novel ecosystems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173635/?tool=EBI |
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