论文标题

随机性和社会规范对渔业复杂动态的影响

Effects of stochasticity and social norms on complex dynamics of fisheries

论文作者

Sarkar, Sukanta, Narang, Arzoo, Sinha, Sudipta Kumar, Dutta, Partha Sharathi

论文摘要

休闲捕鱼是一个高度社会生态过程。尽管休闲渔业是自我调节和弹性的,但改变人为压力会驱动这些渔业造成溢出和崩溃。在这里,我们评估了社会生态生态学两种鱼类模型的人口和环境随机性的影响。在存在噪音的情况下,我们发现收获率的增加驱动了从高价/低价渔业到低收益/高价渔业的关键过渡。为了计算人口统计学噪声的随机轨迹,我们得出了与模型相对应的主方程并执行蒙特卡洛模拟。此外,对概率潜力和平均第一学期时间的分析揭示了替代稳态的弹性。我们还描述了一些通用指标在预测突然过渡中的功效。此外,我们表明,在模型上纳入社会规范可以使中等的鱼类密度保持,尽管收获率较高。总体而言,我们的研究强调了随机社会生态模型中关键转变的发生,并提出了减轻它们的方法。

Recreational fishing is a highly socio-ecological process. Although recreational fisheries are self-regulating and resilient, changing anthropogenic pressure drives these fisheries to overharvest and collapse. Here, we evaluate the effect of demographic and environmental stochasticity for a social-ecological two-species fish model. In the presence of noise, we find that an increase in harvesting rate drives a critical transition from high-yield/low-price fisheries to low-yield/high-price fisheries. To calculate stochastic trajectories for demographic noise, we derive the master equation corresponding to the model and perform Monte-Carlo simulation. Moreover, the analysis of probabilistic potential and mean first-passage time reveals the resilience of alternative steady states. We also describe the efficacy of a few generic indicators in forecasting sudden transitions. Furthermore, we show that incorporating social norms on the model allows moderate fish density to maintain despite higher harvesting rates. Overall, our study highlights the occurrence of critical transitions in a stochastic social-ecological model and suggests ways to mitigate them.

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