模拟人类-环境系统中资源反馈和社会网络动态的共同演化

IF 2.8 2区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY New Journal of Physics Pub Date : 2024-08-06 DOI:10.1088/1367-2630/ad67fe
Meghdad Saeedian, Chengyi Tu, Fabio Menegazzo, Paolo D’Odorico, Sandro Azaele and Samir Suweis
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引用次数: 0

摘要

环境反馈博弈已成为各科学领域的一个重要研究领域,它模拟了人类决策与环境变化之间的动态相互作用,并强调了我们的选择对自然资源和生物多样性造成的后果。在这项工作中,我们提出了一个人类-环境系统的共同进化模型,其中纳入了知识反馈和社会互动对共有资源可持续性的影响。该模型将消费者视为根据资源状况调整资源开采量的行为主体。这些行为主体通过社会网络连接在一起,其中的链接象征着他们之间的亲和力或厌恶感。我们探讨了社会动态和资源动态之间的相互作用,并分析了系统在不同网络拓扑结构和初始条件下的演化过程。我们发现,知识反馈可以独立地维持 CPR。然而,社会互动对可持续性的影响是双方面的:它既可以支持可持续性,也可以阻碍可持续性,这受到网络连通性和异质性的影响。一个值得注意的发现是确定了一个临界网络平均程度,超过这个临界网络平均程度,社会动态中的耗竭/耗尽过渡就会与吸收/活跃状态过渡相似,即个体行为主体及其联系不易冻结在其社会状态中。此外,研究还考察了社会网络的演变,发现出现了两个两极化群体,每个群体中的代理都具有相同的亲和力。最后,我们观察到系统复杂性与可持续性之间存在反比关系。我们采用蒙特卡洛模拟和速率方程进行比较分析,并辅以分析论证,以强化研究结果。该模型成功地捕捉到了人类-环境系统的关键方面,为理解信息传播和社会动态如何影响 CPR 的可持续性提供了宝贵的见解。
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Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems
Games with environmental feedback have become a crucial area of study across various scientific domains, modelling the dynamic interplay between human decisions and environmental changes, and highlighting the consequences of our choices on natural resources and biodiversity. In this work, we propose a co-evolutionary model for human-environment systems that incorporates the effects of knowledge feedback and social interaction on the sustainability of common pool resources (CPRs). The model represents consumers as agents who adjust their resource extraction based on the resource’s state. These agents are connected through social networks, where links symbolize either affinity or aversion among them. The interplay between social dynamics and resource dynamics is explored, with the system’s evolution analyzed across various network topologies and initial conditions. We find that knowledge feedback can independently sustain CPRs. However, the impact of social interactions on sustainability is dual-faceted: it can either support or impede sustainability, influenced by the network’s connectivity and heterogeneity. A notable finding is the identification of a critical network mean degree, beyond which a depletion/repletion transition parallels an absorbing/active state transition in social dynamics, i.e. individual agents and their connections are/are not prone to being frozen in their social states. Furthermore, the study examines the evolution of the social network, revealing the emergence of two polarized groups where agents within each community have the same affinity. Finally, we observe an inverse relationship between system complexity and sustainability. Comparative analyses using Monte–Carlo simulations and rate equations are employed, along with analytical arguments, to reinforce the study’s findings. The model successfully captures key aspects of the human-environment system, offering valuable insights to understand how both the spread of information and social dynamics may impact the sustainability of CPRs.
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来源期刊
New Journal of Physics
New Journal of Physics 物理-物理:综合
CiteScore
6.20
自引率
3.00%
发文量
504
审稿时长
3.1 months
期刊介绍: New Journal of Physics publishes across the whole of physics, encompassing pure, applied, theoretical and experimental research, as well as interdisciplinary topics where physics forms the central theme. All content is permanently free to read and the journal is funded by an article publication charge.
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