4.7 Article

Managing ecological disturbances: Learning and the structure of social-ecological networks

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 109, 期 -, 页码 32-40

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2018.08.002

关键词

Ecological disturbances; Environmental management; ABM; Learning; Social-ecological networks

资金

  1. University of Tennessee, Knoxville
  2. National Science Foundation [ACI-1639529, SMA-1620457, DBI-1300426]
  3. U.S. Department of Agriculture, National Institute of Food and Agriculture [2017-67019-26290]

向作者/读者索取更多资源

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.

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