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Success bias imitation increases the probability of effectively dealing with ecological disturbances (1.0.0)

Under what circumstances management practices are locked in into a non-action situation thus favoring the spreading of pests and invasive species and what learning strategies may be more effective in avoiding such lock-in situations?
Here we investigate a social-ecological model to assess the conditions that lead to successful management of ecological disturbances, varying disturbance effects (cost of treatment, effect of the disturbance on the social system, and the ability of the ecological system to recover from the disturbance when treated) and the type of learning employed by agents to combat such disturbances. We show how isolation and complete knowledge of neighboring management strategies, joint with a connected landscape affect adoption of management treatments able to counter the pest.

Release Notes

Associated Publications

Baggio, J.A., Hillis, V.(2016). Success bias imitation increases the probability of effectively dealing with ecological disturbances. In Proceedings of the 2016 Winter Simulation Conference T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds. Piscataway, New Jersey: Institute of Electrical and Electronics
Engineers, Inc

Success bias imitation increases the probability of effectively dealing with ecological disturbances 1.0.0

Under what circumstances management practices are locked in into a non-action situation thus favoring the spreading of pests and invasive species and what learning strategies may be more effective in avoiding such lock-in situations?
Here we investigate a social-ecological model to assess the conditions that lead to successful management of ecological disturbances, varying disturbance effects (cost of treatment, effect of the disturbance on the social system, and the ability of the ecological system to recover from the disturbance when treated) and the type of learning employed by agents to combat such disturbances. We show how isolation and complete knowledge of neighboring management strategies, joint with a connected landscape affect adoption of management treatments able to counter the pest.

Version Submitter First published Last modified Status
1.0.0 Jacopo A. Baggio Thu Aug 2 12:32:39 2018 Thu Aug 2 12:32:39 2018 Published

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