发表机构
Indian Institute of Science Education and Research (IISER) Pune, India; Institute for Physics and Astronomy, Technische Universität Berlin, Germany; School of Technology and Architecture, SRH University of Applied Sciences HeidelbergLeipzig Campus, Germany（印度科学教育研究所（普纳）; 柏林工业大学物理与天文研究所; SRH应用科学大学海德堡-莱比锡校区技术与建筑学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究三营养级食物链中重力驱动的生态流行病学动力学，开发基于重力的框架，表明重力介导营养相互作用调节生态状态阈值，感染营养位置决定转变性质，建立统一框架理解其对生态系统稳定性的影响。
AI 中文摘要
生态群落由营养相互作用和传染病之间的相互作用塑造，但空间介导的相互作用如何影响疾病驱动的生态系统动态仍知之甚少。在此，我们为三营养级食物链开发了一个基于重力的生态流行病学框架，其中营养相互作用取决于物种丰度和有效相互作用距离。无病食物链系统支持稳定的共存平衡，为研究疾病引起的生态转变提供了基线。在中间营养级引入感染会通过霍普夫分岔使这种平衡不稳定，导致持续振荡，而在顶级捕食者水平感染会导致从持续到灭绝的质的不同转变。通过系统地改变重力耦合强度，我们表明重力介导的营养相互作用调节了分隔这些生态状态的阈值，而感染的营养位置决定了转变的性质。这些发现共同建立了一个统一框架，用于理解空间介导的营养相互作用和传染病如何共同控制生态系统稳定性，为生态群落中疾病驱动的动态提供了新见解。
英文摘要
Ecological communities are shaped by the interplay between trophic interactions and infectious disease, yet how spatially mediated interactions influence disease-driven ecosystem dynamics remains poorly understood. Here, we develop a gravity-based eco-epidemiological framework for a tri-trophic food chain in which trophic interaction depends on species abundances and effective interaction distance. The disease-free food chain system supports a stable coexistence equilibrium, providing a baseline for investigating disease-induced ecological transitions. Introducing infection at the intermediate trophic level destabilizes this equilibrium through a Hopf bifurcation, leading to sustained oscillations, whereas infection at the top predator level results in a qualitatively different transition from persistence to extinction. By systematically varying the gravity coupling strength, we show that gravity-mediated trophic interactions regulate the thresholds separating these ecological regimes, while the trophic position of infection determines the nature of the transition. Together, these findings establish a unified framework for understanding how spatially mediated trophic interactions and infectious disease jointly govern ecosystem stability, providing new insights into disease-driven dynamics in ecological communities.
Comments25 pages, 7 figures
