Managing ecological disturbances: Learning and the structure of social-ecological networks
Managing ecological disturbances: Learning and the structure of social-ecological networks
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DOI：
10.1016/j.envsoft.2018.08.002
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发表时间：
2018-11-01
影响因子：
4.9
通讯作者：
Hillis, V
中科院分区：
文献类型：
--
作者：
Baggio, J. A.;Hillis, V
生态干扰（即害虫、火灾、洪水、生物入侵等）是自然资源管理者面临的严峻挑战。土地管理者在改变扰动传播的速度和程度方面发挥着关键作用。生态干扰在整个景观中传播，而管理策略在管理者的社交网络中传播。在这里，我们使用基于代理的模型来研究生态干扰和管理策略在社会生态网络中的联合扩散，解释社会生态反馈的基本作用。我们研究了对一般生态干扰的管理作为不同学习策略和社会生态网络的函数。我们的方法提供了一个通用的支架，可以对其进行修改以检查社会流和生态流在社会生态网络中传播的各种过程。我们的研究结果强调了完整而准确的信息对于评估成功战略、社会与生态系统之间的有限集群和协调的重要性。
Ecological disturbances (i.e. pests, fires, floods, biological invasions, etc.) are a critical challenge for natural resource managers. Land managers play a key role in altering the rate and extent of disturbance propagation. Ecological disturbances propagate across the landscape, while management strategies propagate across social networks of managers. Here we use an agent-based model to examine the joint diffusion of ecological disturbances and management strategies across a social-ecological network, accounting for the fundamental role of social-ecological feedbacks. We examine the management of a generic ecological disturbance as a function of different learning strategies and the social-ecological network. Our approach provides a general scaffold that can be modified to examine a variety of processes in which both social and ecological flows propagate across a social-ecological network. Our findings highlight the importance of full and accurate information to assess successful strategy, limited clustering and alignment between the social and the ecological system.