|Watershed Management Process|
|Characterize the Watershed|
|Set Goals and Identify Solutions|
|Design an Implementation Program|
|Implement the Watershed Plan|
|Measure Progress and Make Adjustments|
At this stage, you should review the implementation activities outlined in your work plan, compare results with your interim milestones, provide feedback to stakeholders, and determine whether you want to make any corrections. These reviews should address several key areas:
- The process being used to implement your program . This process includes the administrative and technical procedures used to secure agreements with landowners, develop specifications, engage contractors, and the like.
- Progress on your work plan .
- Implementation results . Report on where and when practices have been installed.
- Monitoring results. Analyze monitoring data.
- Feedback from landowners and other stakeholders . Review information on the stakeholders' experience with the implementation process and with operation and maintenance of the practices.
Two types of analyses should be considered during the implementation phase: (1) routine summary analysis that tracks progress, assesses the quality of data relative to measurement quality objectives, and provides early feedback on trends, changes, and problems in the watershed and (2) intensive analysis to determine status, changes, trends, or other issues that measure the response to the implementation of the watershed plan. Feedback from monitoring data is critical to track the effectiveness of your plan and enabling adjustments.
The types of analyses you perform on the monitoring data depend on the overall goals and objectives, the management approach, and the nature of the monitoring program; several types of analyses might be appropriate depending on the monitoring questions. Where analysis and evaluation of management practices are the focus of monitoring, it might be feasible to use relatively simpler analyses, such as correlations, versus more complex multivariate procedures such as clustering, multiple regression, or factor analysis. Under some circumstances, models might be useful to evaluate the progress of implementing your plan. You can, for example, compare the predictions of a model that has been validated for your watershed against actual monitoring data. Such a comparison can confirm that you are on track toward your load reduction goals or can tell you that something is amiss.