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Quantitative predictions about the processes that promote species coexistence are a subject of active research in ecology. In particular, competitive interactions are known to shape and maintain ecological communities, and situations where…

种群与进化 · 定量生物学 2020-01-22 Jose A. Capitan , Sara Cuenda , David Alonso

In this working paper, we present a simple theoretical framework based on network theory to study how speciation, the process by which new species appear, shapes spatial patterns of diversity. We show that this framework can be expanded to…

种群与进化 · 定量生物学 2012-09-13 Philippe Desjardins-Proulx , James L. Rosindell , Timothée Poisot , Dominique Gravel

The rise in online social networking has brought about a revolution in social relations. However, its effects on offline interactions and its implications for collective well-being are still not clear and are under-investigated. We study…

社会与信息网络 · 计算机科学 2016-01-29 Angelo Antoci , Alexia Delfino , Fabio Paglieri , Fabio Sabatini

A classic measure of ecological stability describes the tendency of a community to return to equilibrium after small perturbation. While many advances show how the network structure of these communities severely constrains such tendencies,…

种群与进化 · 定量生物学 2015-06-09 Gang Yan , Neo D. Martinez , Yang-Yu Liu

Structure, composition and stability of ecological populations are shaped by the inter- and intra-species interactions within these communities. It remains to be fully understood how the interplay of these interactions with other factors,…

种群与进化 · 定量生物学 2023-01-16 Nava Leibovich , Jeremy Rothschild , Sidhartha Goyal , Anton Zilman

Population structure can be modelled by evolutionary graphs, which can have a substantial, but very subtle influence on the fate of the arising mutants. Individuals are located on the nodes of these graphs, competing with each other to…

种群与进化 · 定量生物学 2018-10-31 Marius Möller , Laura Hindersin , Arne Traulsen

Intraspecific trait variation has been increasingly recognized as an important factor in determining species interaction and diversity. Eco-evolutionary models have studied the distribution of trait values within a population that changes…

种群与进化 · 定量生物学 2023-10-12 Zachary Jackson , BingKan Xue

Ecological models traditionally explain stability and coexistence through pairwise interactions among species. These interactions can also involve groups of three or more species, higher-order interactions, which recent theory suggests can…

种群与进化 · 定量生物学 2025-10-07 Marc Duran-Sala , Sandro Meloni , Violeta Calleja-Solanas

Cyclic dominance between species may yield spiral waves that are known to provide a mechanism enabling persistent species coexistence. This observation holds true even in presence of spatial heterogeneity in the form of quenched disorder.…

种群与进化 · 定量生物学 2020-02-05 Ryan Baker , Michel Pleimling

The relationships which characterise the outcomes of the interactions between firms in the economy appear to follow power law behaviour. In particular, there is evidence that the empirical power laws which relate the size of an extinction…

凝聚态物理 · 物理学 2007-05-23 P Ormerod , H Johns

The study of human interactions is of central importance for understanding the behavior of individuals, groups and societies. Here, we observe the formation and evolution of networks by monitoring the addition of all new links and we…

物理与社会 · 物理学 2013-02-01 Lazaros K. Gallos , Diego Rybski , Fredrik Liljeros , Shlomo Havlin , Hernan A. Makse

The assembly and persistence of ecological communities can be understood as the result of the interaction and migration of species. Here we study a single community subject to migration from a species pool in which inter-specific…

种群与进化 · 定量生物学 2023-07-27 Matthew Dopson , Clive Emary

The interdependence between an individual strategy decision and the resulting change of environmental state is often a subtle process. Feedback-evolving games have been a prevalent framework for studying such feedback in well-mixed…

种群与进化 · 定量生物学 2025-03-05 Qiushuang Wang , Xiaojie Chen , Attila Szolnoki

We study a version of the Tangled Nature model of evolutionary ecology redefined in a phenotype space where mutants have properties correlated to their parents. The model has individual-based dynamics whilst incorporating species scale…

种群与进化 · 定量生物学 2016-09-08 Simon Laird , Henrik Jeldtoft Jensen

Mathematical modelling of the evolution of the size-spectrum dynamics in aquatic ecosystems was discovered to be a powerful tool to have a deeper insight into impacts of human- and environmental driven changes on the marine ecosystem. In…

偏微分方程分析 · 数学 2024-01-02 Laura Kanzler , Benoit Perthame , Benoit Sarels

We compare and contrast the long-time dynamical properties of two individual-based models of biological coevolution. Selection occurs via multispecies, stochastic population dynamics with reproduction probabilities that depend nonlinearly…

种群与进化 · 定量生物学 2011-11-10 Per Arne Rikvold

Inspired by the structure of technological networks, we discuss network evolution mechanisms which give rise to topological properties found in real spatial networks. Thus, the peculiar structure of transport and distribution networks is…

物理与社会 · 物理学 2009-11-13 R. Xulvi-Brunet , I. M. Sokolov

Individual species may experience diverse outcomes, from prosperity to extinction, in an ecological community subject to external and internal variations. Despite the wealth of theoretical results derived from random matrix ensembles, a…

种群与进化 · 定量生物学 2024-06-12 Andrus Giraldo , Deok-Sun Lee

Many theoretical models have been formulated to better understand the coevolutionary patterns that emerge from antagonistic interactions. These models usually assume that the attacks by the exploiters are random, so the effect of victim…

Ecosystems display a complex spatial organization. Ecologists have long tried to characterize them by looking at how different measures of biodiversity change across spatial scales. Ecological neutral theory has provided simple predictions…

种群与进化 · 定量生物学 2017-12-13 Simone Pigolotti , Massimo Cencini , Daniel Molina , Miguel A. Muñoz
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