Schlüter Maja, Tavoni Alessandro, Levin Simon
Stockholm Resilience Centre, Stockholm University, Stockholm 10691, Sweden
Grantham Research Institute, London School of Economics, London WC2A2AZ, UK.
Proc Biol Sci. 2016 Jan 13;283(1822). doi: 10.1098/rspb.2015.2431.
Sustainable use of common-pool resources such as fish, water or forests depends on the cooperation of resource users that restrain their individual extraction to socially optimal levels. Empirical evidence has shown that under certain social and biophysical conditions, self-organized cooperation in the commons can evolve. Global change, however, may drastically alter these conditions. We assess the robustness of cooperation to environmental variability in a stylized model of a community that harvests a shared resource. Community members follow a norm of socially optimal resource extraction, which is enforced through social sanctioning. Our results indicate that both resource abundance and a small increase in resource variability can lead to collapse of cooperation observed in the no-variability case, while either scarcity or large variability have the potential to stabilize it. The combined effects of changes in amount and variability can reinforce or counteract each other depending on their size and the initial level of cooperation in the community. If two socially separate groups are ecologically connected through resource leakage, cooperation in one can destabilize the other. These findings provide insights into possible effects of global change and spatial connectivity, indicating that there is no simple answer as to their effects on cooperation and sustainable resource use.
对鱼类、水或森林等共有资源的可持续利用取决于资源使用者的合作,他们将各自的开采量限制在社会最优水平。实证证据表明,在某些社会和生物物理条件下,公地中的自组织合作能够得以发展。然而,全球变化可能会极大地改变这些条件。我们在一个开采共享资源的社区的简化模型中,评估合作对于环境变异性的稳健性。社区成员遵循社会最优资源开采规范,该规范通过社会制裁来执行。我们的结果表明,资源丰度以及资源变异性的小幅增加都可能导致在无变异性情况下观察到的合作崩溃,而资源稀缺或大变异性则有可能使其稳定。资源量变化和变异性的综合影响可能会相互加强或抵消,这取决于它们的规模以及社区中合作的初始水平。如果两个社会上相互独立的群体通过资源泄漏在生态上相互联系,那么其中一个群体中的合作可能会破坏另一个群体中的合作。这些发现为全球变化和空间连通性的可能影响提供了见解,表明对于它们对合作和可持续资源利用的影响没有简单的答案。