Developing qualitative ecosystem service relationships with the Driver-Pressure-State-Impact-Response framework: A case study on Cape Cod, Massachusetts
Citation:
Martin, D., A. Piscopo, Marty Chintala, T. Gleason, AND W. Berry. Developing qualitative ecosystem service relationships with the Driver-Pressure-State-Impact-Response framework: A case study on Cape Cod, Massachusetts. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, 84:404-415, (2018).
Impact/Purpose:
This paper is the first in a series of two articles to describe a multi-objective decision analysis process for coastal resource planning and management. In this article, we describe a method we developed for qualitative tradeoff analysis of ecosystem service co-benefits between resource management strategies and their intended outcomes. We use the well-established Driver-Pressure-State-Impact-Response framework as a problem scoping and analysis tool to guide the research.
Description:
Understanding the effects of environmental management strategies on society and the environment is critical for evaluating their effectiveness but is often impeded by limited data availability. In this article, we present a method that can help scientists to support environmental managers’ thinking about causal effects on ecosystem services in coupled human and natural systems. Our method aims to model qualitative cause-effect relationships between management strategies and ecosystem services, using information provided by knowledgeable participants, and the tradeoffs between strategies. We select and organize management strategies, environmental variables, and ecosystem services as indicators using the Driver-Pressure-State-Impact-Response framework. We evaluate the relationship between indicators using a decision tree and numerical representations of interaction strength. We use a matrix multiplication procedure to model direct and indirect interaction effects, and we provide guidelines for combining effects. Results include several data tables from which information can be visualized to understand the plausible interaction effects of implementing management strategies on ecosystem services. We illustrate our method with a coastal water quality management case study on Cape Cod, Massachusetts.
