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In this work the problem of optimal harvesting policy selection for naturalresources management under model uncertainty is investigated. Under theframework of the neoclassical growth model dynamics, the associated optimalcontrol problem is investigated by introducing the concept of model uncertaintyon the initial conditions of the operational procedure. At this stage, thenotion of convex risk measures, and in particular the class of Fr\'echet riskmeasures, is employed in order to quantify the total operational and marginalrisk, whereas simultaneously obtaining robust to model uncertainty harvestingstrategies.

Robust Policy Selection and Harvest Risk Quantification for Natural Resources Management under Model Uncertainty