Optimal stock–enhancement of a spatially distributed renewable resource

Abstract We study the economic management of a renewable resource, stock which is spatially distributed and moves over discrete or continuous spatial domain. In contrast to standard harvesting models where agent can control take-out from stock, we consider case optimal enhancement. other words, model an who is, either because ecological concerns incentives, interested in conservation enhancement abundance may foster its growth by some costly stock–enhancement activity (e.g., cultivation, breeding, fertilizing, nourishment). By investigating problem with infinite time horizon both (1D 2D) domains, show that policy feature heterogeneous (or patterned) steady states. numerically compute global bifurcation structure time-dependent paths govern system initial state patterned state. Our findings extend previous results on class systems important applications, such as design restoration areas.