@inproceedings{e3f6d2a6f1ec426d87ff09c18771378d,
title = "W1: Modelling and monitoring environmental outcomes in adaptive management",
abstract = "The main aim of this paper is to stimulate questions about the future of adaptive management (AM) of natural resources, and more specifically about what approaches may be feasible which have not yet been explored well. The method will be to compare the histories, strengths and limitations of AM, control engineering and Bayesian analysis, which have superficial similarities, significant differences and perhaps lessons for each other. Some difficulties encountered by control engineering and complex environmental models are pointed out.",
keywords = "Adaptive management, Bayesian analysis, Control engineering, Feedback, Modelling, Monitoring",
author = "John Norton and Ken Reckhow",
year = "2006",
language = "English",
isbn = "1424308526",
series = "Proceedings of the iEMSs 3rd Biennial Meeting,{"} Summit on Environmental Modelling and Software{"}",
booktitle = "Proceedings of the iEMSs 3rd Biennial Meeting,Summit on Environmental Modelling and Software",
note = "3rd Biennial Meeting of the International Environmental Modelling and Software Society: Summit on Environmental Modelling and Software, iEMSs 2006 ; Conference date: 09-07-2006 Through 13-07-2006",
}