The Dynamic Adaptive Policy Pathways (DAPP) approach aims to support the development of an adaptive plan that is able to deal with conditions of deep uncertainties. The approach is developed by Deltares and TU Delft and has inspired the Adaptive Delta Management concept of the Dutch Delta Programme.
An adaptive plan specifies actions to be taken immediately to be prepared for the near futures and actions to be taken now to keep options open to adapt if needed in the future. The exploration of adaptation pathways is one of the main ingredients of an adaptive plan. A monitoring system collects information to get early warning signals (triggers) for implementation of actions or for reassessment of the plan. This figure illustrates the DAPP approach.
What are Adaptation Tipping points?
Adaptation Tipping Points (ATP) are a key concept in DAPP. An adaptation tipping point specifies the conditions under which the status quo, a policy action or a portfolio of actions will fail. An adaptation tipping point is reached when the magnitude of external change is such that a policy no longer can meet its objectives, and new actions are needed to achieve the objectives. The timing of an adaptation tipping point (the sell-by year of actions) is scenario dependent. More information on the ATP’s is given below.
Beginning with DAPP policy analysis
DAPP policy analysis begins with the identification of objectives, constraints, and uncertainties that are relevant for decision-making. The uncertainties are then used to generate an ensemble of plausible futures. These futures are compared with the objectives to see if problems arise or if opportunities occur. This determines if and when an adaptation tipping point may occur and thus when policy actions are needed. Based on the vulnerabilities and opportunities actions are identified. The performance of each of the actions and pathways is assessed in light of the defined objectives to determine its adaptation tipping point.
Promising actions are used as the basic building blocks for the assembly of potential adaptation pathways (a sequence of actions), that can be presented in an adaptation (pathways) map. A scorecard presents the costs and (co)-benefits of each of the pathways. The figure below gives an example of such an adaptation map and scorecard. Subsequently one or more preferred pathways can be selected as input for an adaptive plan. The aim of this plan is to stay on the preferred pathway as long as possible. For this purpose, contingency actions are specified and a trigger for each contingency action is specified and monitored.
What are Adaptation Pathways?
Adaptation pathways describe a sequence of policy actions or investments in institutions and infrastructure over time to achieve a set of pre-specified objectives under uncertain changing conditions. An adaptation pathways map provides insight into policy options, the sequencing of actions over time, potential lock-ins, and path dependencies.
Adapting a plan with Adaptation Tipping Points
The concept of Adaptation Tipping Points emerged in response to a desire among Dutch policymakers to make it easier to update plans in light of new climate scenarios. It is a so-called vulnerability/bottom-up approach. An adaptation tipping point is reached when the magnitude of external change is such that a policy no longer can meet its objectives. The timing of this point (the sell-by year of actions) is scenario dependent. This way a plan can be easily adapted in case of new information on changing conditions such as new (climate) scenarios; in which case only the timing of actions needs to be adapted.
The ATP approach differs from the classical top down approach and contains elements from a vulnerability bottom up approach. In the classical top-down approach to climate adaptation (see figure; left panel), the underlying question is: “What if climate changes or sea level rises according to a particular scenario?” This is followed by analyzing the cause-effect chain from pressures to impact. If the impact is such that policy objectives are not achieved, adaptation measures are defined to overcome this problem. Then the chain is analysed again, answering the question: “What if this particular scenario becomes reality and we implement measure x, are the objectives achieved then?”