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Convergence of socio-ecological dynamics in disparate ecological systems under strong coupling to human social systems

机译:强耦合人类社会系统下不同生态系统的社会生态动态融合

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It is widely recognized that coupled socio-ecological dynamics can be qualitatively different from the dynamics of social or ecological systems in isolation from one another. The influence of the type of ecological dynamics on the dynamics of the larger socio-ecological system is less well studied, however. Here, we carry out such a comparison using a mathematical model of a common pool resource problem. A population must make decisions about harvesting a renewable resource. Individuals may either be cooperators, who harvest at a sustainable level, or defectors, who overharvest. Cooperators punish defectors through social ostracism. Individuals can switch strategies according to the costs and benefits of harvesting and the strength of social ostracism. These mechanisms are represented by a differential equation for social dynamics, which is coupled to three different types of resource dynamics: logistic growth, constant inflow, and threshold growth. We find that when human influence is sufficiently weak, the form of resource dynamics leaves a strong imprint on the socio-ecological dynamics, and human social dynamics are qualitatively very different from resource dynamics. However, stronger human influence introduces a broad intermediate parameter regime where dynamical patterns converge to a common type: the three types of ecological systems exhibit similar dynamics, but also, social and ecological dynamics mirror one another. This regime of strong human influence includes generation of stable limit cycles at high rates of social learning. Such oscillations are a consequence of stronger coupling and are reminiscent of synchrony in other fields, such as the classic problem of coupled oscillators. Socio-ecological convergence has implications for how we understand and manage complex socio-ecological systems. In an era of growing human influence on ecological systems, further empirical and theoretical work is required to determine whether socio-ecological convergence is present in real systems.
机译:众所周知,耦合的社会生态动态可以与彼此隔离的社会或生态系统的动态不同。然而,生态动态类型对较大社会生态系统动态的影响较小。在这里,我们使用公共池资源问题的数学模型进行这样的比较。人口必须决定收获可再生资源。个人可以成为合作者,他们在可持续的水平或偏转者中收获的人。合作者通过社会排斥主义惩罚叛逃。个人可以根据收获的成本和利益以及社会排斥性的优势来改造策略。这些机制由社会动态的微分方程表示,其耦合到三种不同类型的资源动态:物流生长,恒定流入和阈值增长。我们发现,当人类影响力充分弱时,资源动态的形式留下了对社会生态动态的强烈印记,人类社会动态与资源动态非常不同。然而,更强的人体影响引入了广泛的中间参数制度,其中动态模式会聚到共同类型:三种类型的生态系统表现出类似的动态,而且,社会和生态动态彼此镜像。这种强大人类影响的政权包括以高社会学习率的稳定极限循环产生。这种振荡是较强的耦合的结果,并使其他领域的同步提醒,例如耦合振荡器的经典问题。社会生态融合对我们如何理解和管理复杂的社会生态系统的影响。在对生态系统的影响日益增加的时代,需要进一步的实证和理论上的工作来确定实际系统中是否存在社会生态会聚。

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