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Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants

BACKGROUND: Plant dispersal is a critical factor driving ecological responses to global changes. Knowledge on the mechanisms of dispersal is rapidly advancing, but selective pressures responsible for the evolution of dispersal strategies remain elusive. Recent advances in animal movement ecology ide...

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Autores principales: Treep, Jelle, de Jager, Monique, Bartumeus, Frederic, Soons, Merel B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845050/
https://www.ncbi.nlm.nih.gov/pubmed/33514441
http://dx.doi.org/10.1186/s40462-020-00239-1
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author Treep, Jelle
de Jager, Monique
Bartumeus, Frederic
Soons, Merel B.
author_facet Treep, Jelle
de Jager, Monique
Bartumeus, Frederic
Soons, Merel B.
author_sort Treep, Jelle
collection PubMed
description BACKGROUND: Plant dispersal is a critical factor driving ecological responses to global changes. Knowledge on the mechanisms of dispersal is rapidly advancing, but selective pressures responsible for the evolution of dispersal strategies remain elusive. Recent advances in animal movement ecology identified general strategies that may optimize efficiency in animal searches for food or habitat. Here we explore the potential for evolution of similar general movement strategies for plants. METHODS: We propose that seed dispersal in plants can be viewed as a strategic search for suitable habitat, where the probability of finding such locations has been optimized through evolution of appropriate dispersal kernels. Using model simulations, we demonstrate how dispersal strategies can optimize key dispersal trade-offs between finding habitat, avoiding kin competition, and colonizing new patches. These trade-offs depend strongly on the landscape, resulting in a tight link between optimal dispersal strategy and spatiotemporal habitat distribution. RESULTS: Our findings reveal that multi-scale seed dispersal strategies that combine a broad range of dispersal scales, including Lévy-like dispersal, are optimal across a wide range of dynamic and patchy landscapes. At the extremes, static and patchy landscapes select for dispersal strategies dominated by short distances, while uniform and highly unpredictable landscapes both select for dispersal strategies dominated by long distances. CONCLUSIONS: By viewing plant seed dispersal as a strategic search for suitable habitat, we provide a reference framework for the analysis of plant dispersal data. Consideration of the entire dispersal kernel, including distances across the full range of scales, is key. This reference framework helps identify plant species’ dispersal strategies, the evolutionary forces determining these strategies and their ecological consequences, such as a potential mismatch between plant dispersal strategy and altered spatiotemporal habitat dynamics due to land use change. Our perspective opens up directions for future studies, including exploration of composite search behaviour and ‘informed searches’ in plant species with directed dispersal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-020-00239-1.
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spelling pubmed-78450502021-02-01 Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants Treep, Jelle de Jager, Monique Bartumeus, Frederic Soons, Merel B. Mov Ecol Research BACKGROUND: Plant dispersal is a critical factor driving ecological responses to global changes. Knowledge on the mechanisms of dispersal is rapidly advancing, but selective pressures responsible for the evolution of dispersal strategies remain elusive. Recent advances in animal movement ecology identified general strategies that may optimize efficiency in animal searches for food or habitat. Here we explore the potential for evolution of similar general movement strategies for plants. METHODS: We propose that seed dispersal in plants can be viewed as a strategic search for suitable habitat, where the probability of finding such locations has been optimized through evolution of appropriate dispersal kernels. Using model simulations, we demonstrate how dispersal strategies can optimize key dispersal trade-offs between finding habitat, avoiding kin competition, and colonizing new patches. These trade-offs depend strongly on the landscape, resulting in a tight link between optimal dispersal strategy and spatiotemporal habitat distribution. RESULTS: Our findings reveal that multi-scale seed dispersal strategies that combine a broad range of dispersal scales, including Lévy-like dispersal, are optimal across a wide range of dynamic and patchy landscapes. At the extremes, static and patchy landscapes select for dispersal strategies dominated by short distances, while uniform and highly unpredictable landscapes both select for dispersal strategies dominated by long distances. CONCLUSIONS: By viewing plant seed dispersal as a strategic search for suitable habitat, we provide a reference framework for the analysis of plant dispersal data. Consideration of the entire dispersal kernel, including distances across the full range of scales, is key. This reference framework helps identify plant species’ dispersal strategies, the evolutionary forces determining these strategies and their ecological consequences, such as a potential mismatch between plant dispersal strategy and altered spatiotemporal habitat dynamics due to land use change. Our perspective opens up directions for future studies, including exploration of composite search behaviour and ‘informed searches’ in plant species with directed dispersal. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-020-00239-1. BioMed Central 2021-01-29 /pmc/articles/PMC7845050/ /pubmed/33514441 http://dx.doi.org/10.1186/s40462-020-00239-1 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Treep, Jelle
de Jager, Monique
Bartumeus, Frederic
Soons, Merel B.
Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title_full Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title_fullStr Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title_full_unstemmed Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title_short Seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
title_sort seed dispersal as a search strategy: dynamic and fragmented landscapes select for multi-scale movement strategies in plants
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845050/
https://www.ncbi.nlm.nih.gov/pubmed/33514441
http://dx.doi.org/10.1186/s40462-020-00239-1
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