异构环境中的聚合-扩散

Jonathan R. Potts
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引用次数: 0

摘要

聚集扩散方程是模拟生物聚集的基础工具。其主要用途是以严谨、非推测的方式将生物的集体运动机制与其出现的空间利用模式联系起来。然而,大多数现有研究都隐含地假定生物运动不受潜在环境的影响。实际上,环境是决定新出现的空间利用模式的关键因素,尽管它与集体运动相结合。这项工作研究的是单空间维度异质环境中的聚集扩散方程。在某些假设条件下,当扩散为二次扩散时,可以找到方程稳态解的精确分析表达式。通过最小化这些解的相关能量函数,可以快速确定可能出现的空间使用模式,并通过数值进行验证。这种能量最小化程序被应用到一个简单的测试案例中,在这个案例中,环境由一个单一的具有吸引力的资源库组成。在这种情况下,自我吸引和资源吸引相结合,形成了新出现的聚集。分析结果中出现了两个与直觉相反的结果:(a)团块宽度与聚集宽度之间的非单调依赖关系;(b)当资源吸引力较强时,自吸引强度与聚集宽度之间存在正相关关系。这些都通过数值模拟得到了验证。总之,该研究严谨地揭示了环境和集体行为是如何共同塑造生物的空间利用的,有时甚至是以反直觉的方式。
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Aggregation-diffusion in heterogeneous environments
Aggregation-diffusion equations are foundational tools for modelling biological aggregations. Their principal use is to link the collective movement mechanisms of organisms to their emergent space use patterns in a rigorous, non-speculative way. However, most existing studies implicitly assume that organism movement is not affected by the underlying environment. In reality, the environment is a key determinant of emergent space use patterns, albeit in combination with collective aspects of motion. This work studies aggregation-diffusion equations in a heterogeneous environment in one spatial dimension. Under certain assumptions, it is possible to find exact analytic expressions for the steady-state solutions to the equation when diffusion is quadratic. Minimising the associated energy functional across these solutions provides a rapid way of determining the likely emergent space use pattern, which can be verified via numerics. This energy-minimisation procedure is applied to a simple test case, where the environment consists of a single clump of attractive resources. Here, self-attraction and resource-attraction combine to shape the emergent aggregation. Two counter-intuitive results emerge from the analytic results: (a) a non-monotonic dependence of clump width on the aggregation width, (b) a positive correlation between self-attraction strength and aggregation width when the resource attraction is strong. These are verified through numerical simulations. Overall, the study shows rigorously how environment and collective behaviour combine to shape organism space use, sometimes in counter-intuitive ways.
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