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A Lévy expansion strategy optimizes early dune building by beach grasses

机译:Lévy的扩张策略通过沙滩草优化了早期沙丘的建造

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摘要

Lifeforms ranging from bacteria to humans employ specialized random movement patterns. Although effective as optimization strategies in many scientific fields, random walk application in biology has remained focused on search optimization by mobile organisms. Here, we report on the discovery that heavy-tailed random walks underlie the ability of clonally expanding plants to self-organize and dictate the formation of biogeomorphic landscapes. Using cross-Atlantic surveys, we show that congeneric beach grasses adopt distinct heavy-tailed clonal expansion strategies. Next, we demonstrate with a spatially explicit model and a field experiment that the Lévy-type strategy of the species building the highest dunes worldwide generates a clonal network with a patchy shoot organization that optimizes sand trapping efficiency. Our findings demonstrate Lévy-like movement in plants, and emphasize the role of species-specific expansion strategies in landscape formation. This mechanistic understanding paves the way for tailor-made planting designs to successfully construct and restore biogeomorphic landscapes and their services.
机译:从细菌到人类的各种生命形式都采用专门的随机运动模式。尽管在许多科学领域中作为优化策略有效,但生物学中的随机游走应用仍然集中在移动生物的搜索优化上。在这里,我们报告发现,重尾随机游走是无性繁殖植物自我组织并决定生物地貌景观形成的能力的基础。使用跨大西洋调查,我们显示同类沙滩草采用了不同的重尾克隆扩展策略。接下来,我们通过空间显式模型和野外实验证明,构建世界上最高沙丘的物种的Lévy型策略产生了一个具有斑驳枝条组织的克隆网络,该组织可以优化捕沙效率。我们的发现证明了植物中类似列维的运动,并强调了物种特定的扩展策略在景观形成中的作用。这种机械的理解为量身定制的种植设计铺平了道路,以成功地构建和恢复生物地貌景观及其服务。

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