Self-segregation in heterogeneous metapopulation landscapes
Jean-Fran\c{c}ois de Kemmeter, Timoteo Carletti, Malbor Asllani

TL;DR
This paper introduces a network-inspired individual-based model demonstrating how core-periphery network structures lead to spontaneous habitat vacancy and population segregation, providing insights into habitat fragmentation and speciation.
Contribution
It presents a novel self-segregation model showing how network topology influences habitat vacancy and population patterns, aligning with observed ecological phenomena.
Findings
Core-periphery networks induce vacant patches and population segregation.
Quantisation of vacant patches occurs with continuous changes in system mass.
Model reproduces habitat vacancy observed in Glanville fritillary butterfly.
Abstract
Complex interactions are at the root of the population dynamics of many natural systems, particularly for being responsible for the allocation of species and individuals across apposite niches of the ecological landscapes. On the other side, the randomness that unavoidably characterises complex systems has increasingly challenged the niche paradigm providing alternative neutral theoretical models. We introduce a network-inspired metapopulation individual-based model (IBM), hereby named self-segregation, where the density of individuals in the hosting patches (local habitats) drives the individuals spatial assembling while still constrained by nodes' saturation. In particular, we prove that the core-periphery structure of the networked landscape triggers the spontaneous emergence of vacant habitat patches, which segregate the population in multistable patterns of isolated…
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