时空噪声稳定了强竞争社区中的无界多样性
Spatiotemporal noise stabilizes unbounded diversity in strongly-competitive communities
AI总结：
时空噪声通过驱动异常缩放和亚线性自抑制，使强竞争社区中的多样性稳定共存，解决了多样性-稳定性悖论。
摘要：
经典生态模型预测，大型、多样化的社区应是不稳定的，这构成了解释自然界中稳定生物多样性的一个核心挑战。我们通过扩展广义利特尔-沃尔特模型，将其扩展以包含空间结构和空间和时间上的环境波动。我们发现，单独的空间或环境噪声无法解决多样性与稳定性之间的张力，但两者的共同作用使任意多物种能够稳定共存，即使存在强烈无序的竞争相互作用。我们分析了噪声诱导向共存的过渡，表明时空噪声驱动了丰度波动的异常缩放，这在经验上被称为泰勒定律。在社区层面，这表现为一种有效的亚线性自抑制，使社区稳定，并在高多样性极限下趋于中性。时空噪声因此为多样性-稳定性悖论提供了新的解决方案，并为复杂社区的持续提供了通用机制。
英文摘要：
Classical ecological models predict that diverse communities should be unstable, presenting a central challenge to explaining the stable biodiversity seen in nature. We revisit this long-standing problem by extending the generalized Lotka-Volterra model to include both spatial structure and environmental fluctuations across space and time. We find that neither space nor environmental noise alone can resolve the tension between diversity and stability, but that together they permit arbitrarily many species to stably coexist in a sufficiently large system, despite strongly disordered competitive interactions. We analytically characterize the noise-induced transition to coexistence, showing that spatiotemporal noise drives power-law abundance fluctuations, leading to an anomalous scaling of moments known empirically as Taylor's law. At the metacommunity level, this manifests as an emergent sublinear self-inhibition that stabilizes diversity and renders the interaction disorder irrelevant in the high-diversity limit. Spatiotemporal noise thus provides a novel resolution to the diversity-stability paradox and a generic mechanism by which complex communities can persist.
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。
