The Environmental Protection Agency's Watershed-based Approach: where social and natural sciences meet to address today's water resource challenges

A growing number of governmental organizations at the local, state, and federal level collaborate with nongovernmental organizations and individuals to solve watershed scale problems (Imperial and Koontz, 2007). Such a shift in policy approach from hierarchical regulation to bottom-up collaboration is largely a result of regulator’s recognition of the interdependence of natural and socio-economic systems on a watershed scale (Steelman and Carmin, 2002. Agencies throughout the federal government increasingly favored new governing institutions that encourage cooperation between local actors with conflicting interests, divergent geographic bases, and overlapping administrative jurisdictions to resolve continuing disputes over resource management (Bardach 1998). This favoritism of collaborative over command-and-control approaches for managing nonpoint source pollution led to the development of watershed partnerships and the watershed-based approach (Lubell et al., 2002). This study aims to further collaborative governance scholarship and aid decision-makers in identifying the critical elements of collaborative governance resulting in environmental improvements. To date, this relationship has not been empirically determined, in spite of the fact that collaborative governance is used routinely by the U.S. Environmental Protection Agency in resolving issues related to watershed management and other applications. This gap in the research is largely due to the lack of longitudinal data. In order to determine whether changes have occurred, environmental data must be collected over relatively long time periods (Koontz and Thomas, 2006; Sabatier, et al., 2005). However, collecting these data is often cost prohibitive. Monitoring water quality is expensive and requires technical expertise, and is often the first line item cut in environmental management budgets. This research is interdisciplinary, looking at the physical, chemical, and biological parameters for 44 waterbodies, assessing changes in water quality and the sociological characteristics of a collaborative policy approach. This research relied upon a unique longitudinal water quality data set collected through EPA’s National Nonpoint Source Monitoring Program’s (NNPSMP), simultaneously controlling for confounding effects related to political/institutional, socioeconomic, and physical conditions. These data were coupled with survey data of individuals who participated in this collaborative monitoring program to assess the relationship between programmatic elements of the NNPSMP and changes in water quality. The choice to use the NNPSMP’s data was two-fold. First, the program has conducted long-term monitoring on water quality improvements, which has been the limiting factor in testing causality. Changes in water quality take decades to occur and are not often realized due to the lack of longitudinal data. Second, baseline data exist for each waterbody within the watershed prior to the implementation of the collaborative governance process. These baseline data will serve as pre-intervention data and allow for the attribution of measured outcomes to the watershed initiatives (Thomas, 2008).