On the uncertainty and confidence in decision support tools (DSTs) with insights from the Baltic Sea ecosystem
Author:
Funder
BONUS
Publisher
Springer Science and Business Media LLC
Subject
Ecology,Environmental Chemistry,Geography, Planning and Development,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s13280-020-01385-x.pdf
Reference33 articles.
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2. Bonsdorff, E., A. Andersson, and R. Elmgren. 2015. Baltic Sea ecosystem-based management under climate change: Integrating social and ecological perspectives. Ambio 44: 333–334. https://doi.org/10.1007/s13280-015-0669-1.
3. Borgonovo, E. 2013. Sensitivity analysis in decision making. Wiley Encyclopedia of Operations Research and Management Science. https://doi.org/10.1002/9780470400531.eorms1076.
4. Carstensen, J., and M. Lindegarth. 2016. Confidence in ecological indicators: A framework for quantifying uncertainty components from monitoring data. Ecological Indicators 67: 306–317. https://doi.org/10.1016/J.ECOLIND.2016.03.002.
5. Chatfield, C. 1995. Model uncertainty, data mining and statistical inference. Journal of the Royal Statistical Society Series A 158: 419. https://doi.org/10.2307/2983440.
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