Real communities of virtual plants explain biodiversity on just three assumptions

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2021-01-01 DOI:10.1093/INSILICOPLANTS/DIAB015
R. Hunt, R. Colasanti
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Abstract

To illuminate mechanisms supporting diversity in plant communities, we construct 2D cellular automata and ‘grow’ virtual plants in real experiments. The plants are 19 different, fully validated functional types drawn from universal adaptive strategy theory. The scale of approach is far beyond that of even the most ambitious investigations in the physical world. By simulating 496 billion plant–environment interactions, we succeed in creating conditions that sustain high diversity realistically and indefinitely. Our simulations manipulate the levels of, and degree of heterogeneity in the supply of, resources, external disturbances and invading propagules. We fail to reproduce this outcome when we adopt the assumptions of unified neutral theory. The 19 functional types in our experiments respond in complete accordance with universal adaptive strategy theory. We find that spatial heterogeneity is a strong contributor to long-term diversity, but temporal heterogeneity is less so. The strongest support of all comes when an incursion of propagules is simulated. We enter caveats and suggest further directions for working with cellular automata in plant science. We conclude that although (i) the differentiation of plant life into distinct functional types, (ii) the presence of environmental heterogeneity and (iii) the opportunity for invasion by propagules can all individually promote plant biodiversity, all three appear to be necessary simultaneously for its long-term maintenance. Though further, and possibly more complex, sets of processes could additionally be involved, we consider it unlikely that any set of conditions more minimal than those described here would be sufficient to deliver the same outcome.
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虚拟植物的真实群落仅用三个假设来解释生物多样性
为了阐明支持植物群落多样性的机制,我们构建了二维细胞自动机并在真实实验中“生长”虚拟植物。根据通用适应策略理论,这些植物有19种不同的、经过充分验证的功能类型。这种方法的规模甚至远远超过了物理世界中最雄心勃勃的研究。通过模拟4960亿次植物与环境的相互作用,我们成功地创造了现实地、无限期地维持高度多样性的条件。我们的模拟操纵了资源供应、外部干扰和入侵传播体的异质性水平和程度。当我们采用统一中性理论的假设时,我们无法再现这一结果。在我们的实验中,19种功能类型的反应完全符合普遍适应策略理论。研究发现,空间异质性对长期多样性的影响较大,而时间异质性对长期多样性的影响较小。当模拟传播体入侵时,最有力的支持就来了。我们对植物科学中细胞自动机的研究提出了一些警告和建议。我们得出结论,尽管(i)植物生命分化为不同的功能类型,(ii)环境异质性的存在和(iii)繁殖体入侵的机会都可以单独促进植物生物多样性,但这三者似乎是长期维持植物生物多样性所必需的。虽然可能还会涉及到更复杂的过程集,但我们认为,任何比这里描述的条件集更小的条件集都不太可能足以提供相同的结果。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
期刊最新文献
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