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Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation
Spatiotemporal patterns of vegetation are a ubiquitous feature of semi-arid ecosystems. On sloped terrain, vegetation patterns occur as stripes perpendicular to the contours. Field studies report contrasting long-term dynamics between different observation sites; some observe slow uphill migration o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759510/ https://www.ncbi.nlm.nih.gov/pubmed/36528665 http://dx.doi.org/10.1007/s00285-022-01852-x |
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author | Eigentler, L. Sherratt, J. A. |
author_facet | Eigentler, L. Sherratt, J. A. |
author_sort | Eigentler, L. |
collection | PubMed |
description | Spatiotemporal patterns of vegetation are a ubiquitous feature of semi-arid ecosystems. On sloped terrain, vegetation patterns occur as stripes perpendicular to the contours. Field studies report contrasting long-term dynamics between different observation sites; some observe slow uphill migration of vegetation bands while some report stationary patterns. In this paper, we show that long-range seed dispersal provides a mechanism that enables the occurrence of both migrating and stationary patterns. We utilise a nonlocal PDE model in which seed dispersal is accounted for by a convolution term. The model represents vegetation patterns as periodic travelling waves and numerical continuation shows that both migrating and almost stationary patterns are stable if seed dispersal distances are sufficiently large. We use a perturbation theory approach to obtain analytical confirmation of the existence of almost stationary patterned solutions and provide a biological interpretation of the phenomenon. |
format | Online Article Text |
id | pubmed-9759510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-97595102022-12-19 Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation Eigentler, L. Sherratt, J. A. J Math Biol Article Spatiotemporal patterns of vegetation are a ubiquitous feature of semi-arid ecosystems. On sloped terrain, vegetation patterns occur as stripes perpendicular to the contours. Field studies report contrasting long-term dynamics between different observation sites; some observe slow uphill migration of vegetation bands while some report stationary patterns. In this paper, we show that long-range seed dispersal provides a mechanism that enables the occurrence of both migrating and stationary patterns. We utilise a nonlocal PDE model in which seed dispersal is accounted for by a convolution term. The model represents vegetation patterns as periodic travelling waves and numerical continuation shows that both migrating and almost stationary patterns are stable if seed dispersal distances are sufficiently large. We use a perturbation theory approach to obtain analytical confirmation of the existence of almost stationary patterned solutions and provide a biological interpretation of the phenomenon. Springer Berlin Heidelberg 2022-12-17 2023 /pmc/articles/PMC9759510/ /pubmed/36528665 http://dx.doi.org/10.1007/s00285-022-01852-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Eigentler, L. Sherratt, J. A. Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title | Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title_full | Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title_fullStr | Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title_full_unstemmed | Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title_short | Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
title_sort | long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759510/ https://www.ncbi.nlm.nih.gov/pubmed/36528665 http://dx.doi.org/10.1007/s00285-022-01852-x |
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