Evidence map›Paper›PMID 33514441›Full record

ArticleMovement ecology2021

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

Jelle Treep, Monique de Jager, Frederic Bartumeus, Merel B Soons

Abstract read
In one paragraph

Article in Movement ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Walter's Duiker (Ecology and evolution · 2024
    Review
  5. The biotic and abiotic contexts of ecological selection mediate the dominance of distinct dispersal strategies in competitive metacommunities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  6. Article
  7. Review
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jelle TreepEcology & Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands. hjtreep@gmail.com.ORCID http://orcid.org/0000-0003-3196-7954
Monique de JagerEcology & Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Frederic BartumeusCentre d'Estudis Avançats de Blanes (CEAB-CSIC), 17300, Girona, Spain.
Merel B SoonsEcology & Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.

Funding

NWO-ALW Vidi
6 · The paper itself

Abstract

backgroundPlant 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.

methodsWe 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.

resultsOur 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.

conclusionsBy 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.

Indexed as

Lévy flightLévy walkLong-distance dispersalModellingMulti-scale seed dispersalPlant movement strategiesShort-distance dispersalStochastic simulations

Identifiers

PMID33514441
PMCPMC7845050

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.