Abstract

We present a model of the optimal timing of a large-scale habitat restoration project. The model is a dynamic benefit optimization that includes ecosystem costs caused by the presence of a large dam. We use a single stochastic variable to incorporate two sources of uncertainty: uncertainty about how ecosystem costs will evolve over time and the possibility of the ecosystem jumping to an undesirable state. We use our model to illustrate two main results. First, variability in ecosystem costs creates an incentive to delay a project intended to restore ecosystem health. The uncertainty regarding ecosystem costs creates an option value to waiting to invest in restoration at a later date. Second, the possibility of jumping to an irreversible and unacceptably bad ecosystem state (such as species extinction) creates an incentive to hasten restoration. These results formalize the countervailing incentives faced by policy makers when multiple uncertainties and irreversibilities are present in managed ecosystems.

Highlights

  • Investments in ecosystem restoration projects are often subject to economic analyses to help determine which investments to make

  • In Sections Sensitivity Analysis to Ecosystem Cost Variability, σ, Sensitivity Analysis of the Drift Rate (μ), and Sensitivity to the Speed of Ecosystem Recovery (α), we solve the model for the free boundary curve in the case where there is uncertainty in ecosystem costs, but with no potential of moving to an extreme cost state

  • If ecosystem costs exceed the value specified in the free boundary curve at a point in time, the optimal decision is to remove the dam at that point

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Summary

Introduction

Investments in ecosystem restoration projects are often subject to economic analyses to help determine which investments to make. When considering large-scale habitat restoration or species recovery projects, decision-makers typically face a variety of uncertainties such as current and future ecosystem conditions, the costs and efficacy of restoration efforts, and the presence of tipping points that must be weighed in the decision making process. The possibility ongoing ecosystem degradation that leads to higher restoration costs or irreversible system damage may lead decision-makers to move forward on restoration projects. These countervailing incentives are pervasive in restoration planning; there is a need for decision makers to be able to understand both reasons to hasten restoration efforts and reasons to slow them down within a single framework

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