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arXiv 2103.02081q-bio.PE
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理解相互作用物种的复杂生态系统中物种的绝对分布

Understanding Species Abundance Distributions in Complex Ecosystems of Interacting Species

Jim Wu, Pankaj Mehta, David Schwab

摘要:

生态位和中性学说〈动〉<动>是生态学中两个流行但争议很大的观点,它们被用来解释生物多样性的格局。生态位理论强调物种之间的选择性差异和种间相互作用对群落形成的影响,而中性学说〈动〉<动>则假设物种之间的功能等价,并指出随机性是生态动态的主要驱动力。在这项工作中,我们在这两个对立的理论之间架起了一座桥梁。从一个具有人口统计噪声和随机对称相互作用的Lotka-Volterra(LV)模型出发,解析地导出了种群的平稳统计量和物种多度分布(SAD).利用这些结果,我们证明了该模型可以表现出三类SAD常见于利基和中性学说〈动〉<动>,并发现了条件,允许生态系统之间的过渡这些不同的制度。因此,我们调和如何中性的统计可能会出现从一个不同的社区与利基分化。

英文摘要:

Niche and neutral theory are two prevailing, yet much debated, ideas in ecology proposed to explain the patterns of biodiversity. Whereas niche theory emphasizes selective differences between species and interspecific interactions in shaping the community, neutral theory supposes functional equivalence between species and points to stochasticity as the primary driver of ecological dynamics. In this work, we draw a bridge between these two opposing theories. Starting from a Lotka-Volterra (LV) model with demographic noise and random symmetric interactions, we analytically derive the stationary population statistics and species abundance distribution (SAD). Using these results, we demonstrate that the model can exhibit three classes of SADs commonly found in niche and neutral theories and found conditions that allow an ecosystem to transition between these various regimes. Thus, we reconcile how neutral-like statistics may arise from a diverse community with niche differentiation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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