TY - JOUR
T1 - Managing Ecological Disturbances: Learning and the Structure of Social-Ecological Networks
T2 - Learning and the structure of social-ecological networks
AU - Baggio, J. A.
AU - Hillis, V.
N1 - Baggio, J.A. & Hillis, V. (2018). "Managing Ecological Disturbances: Learning and the Structure of Social-Ecological Networks". Environmental Modelling & Software, 109, 32-40. http://dx.doi.org/10.1016/j.envsoft.2018.08.002
PY - 2018/11/1
Y1 - 2018/11/1
N2 - 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.
AB - 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.
KW - ABM
KW - ecological disturbances
KW - environmental management
KW - learning
KW - social-ecological networks
UR - https://scholarworks.boisestate.edu/hes_facpubs/21
UR - http://dx.doi.org/10.1016/j.envsoft.2018.08.002
UR - https://www.scopus.com/pages/publications/85053183100
U2 - 10.1016/j.envsoft.2018.08.002
DO - 10.1016/j.envsoft.2018.08.002
M3 - Article
VL - 109
SP - 32
EP - 40
JO - Environmental Modelling & Software
JF - Environmental Modelling & Software
ER -