1 BPA Fish and Wildlife Division Using Pisces Data to Analyze Wildlife Management Costs December 2006 Portland, Oregon

2 Introduction Tom Karier asked BPA to provide an analysis of the costs associated with the operations and maintenance (O&M) of wildlife projects. This presentation will discuss our efforts to date to meet Dr. Kariers request. This was initially an informal exercise designed to provide information to support the FY07 – FY09 selection process.

3 Layers of Data

4 WE Hub

5 WE Budget Estimates WE Budgets are estimates provided by the contractor. They are not based on invoiced actuals, but rather the contractors professional opinion. Pisces provides some guidance on what to include in these estimates but is not overly prescriptive. Planned WE Budgets are the contractors best estimates of the costs associated with a given WE at the time of SOW development. Updated WE Budgets are the contractors best estimates of the costs associated with a given WE at the time the work is completed.

6 WE Duration

7 Project Performance Period

8 Discussions/conclusions This analysis is not intended to provide a definitive answer to any specific management question. There is substantial variation amongst wildlife projects with respect to: –Wildlife management costs/acre and –The distribution of funding amongst the work categories Additional analysis is required to determine the source of the variation. There is currently overlap between the habitat enhancement and habitat O&M work categories. Work elements in their current form are focused on what the work is and not why we are doing the work.

9 Next Steps Optimize Wildlife Enhancement and O&M Work Elements –Improve our ability to differentiate between management phases –Review work element classifications Which are enhancement? Which are O&M? –Better identify all of the costs associated with each phase Redistribute foundational work element budget estimates

10 Next Steps Incorporate Wildlife Data into Pisces –HU/Crediting Information –Acquisition Level Data Categorize acquisitions and projects – Use structured data from Pisces (WE information, metrics) to compare like to like