- Metric Name:  Cost of Potential Treatments

- Data Vintage:  2022

- Unit Of Measure: $/ton for operation costs and $/acre for prescribed fire and hand treatments

This metric is dependent on predefined treatments or silvicultural prescriptions, which are best generated at the local and/or project level. The cost to perform each treatment depends on a defined prescription and should consider an array of factors including the spatial juxtaposition of the resources and infrastructure, as well as the location of the saw timber and biomass processing plants.

Treatment cost calculations take into consideration the multiple costs necessary to move material from the forest harvest site to a processing location (sawmill or biomass facility) and includes the costs of felling, processing, skidding and hauling:

--	costs to move material along different types of roads (i.e., dirt, paved, highways, etc.)

--	across barriers (i.e., water courses)

--	operational costs

--	machine costs

--	speed of moving material across the landscape. 

Cost values have been broken down into the costs to move either biomass or sawlogs.- Creation Method:  The methods are based on the “RMRS Raster Utility and Function Modeling” and the “Delivered Cost Modeling” approaches developed by John Hogland at the Rocky Mountain Research Station. Using a series of sliders that define various rates for multiple harvesting system and then running the delivered cost model. Within the modeling, the following analyses will be performed:

1)	Subset and attribute OSM roads with speed based on criteria in Table 1.

2)	Create barrier to offroad motion for off road analysis using a subset of OSM streams, water bodies, interstates, and highways.

3)	Estimate potential on road and offroad cost surfaces for each harvesting system using interactive sliders based on the criteria in Table 2.

4)	Create felling and processing surfaces and add potential costs.

5)	Specify where harvesting systems occur and subset system costs to those locations.

6)	Create final spatial representation of the potential cost to treat each raster cell on a dollar per CCF basis.

7)	Save final raster surfaces.

The data has been extracted from open street maps and USFS 3dep and consist of base Raster and Vector datasets that have been used throughout the study area:

--	Elevation (raster): elevation surface units meters (3dep)

--	Roads (vector): Open Street Map roads based on Tiger Lines (OSM)

--	Streams (vector): Open Street Map streams based on NHD (OSM)

--	Water bodies (vector): OSM water bodies

--	Sawmills (vector): location of the sawmill

--	Biomass facilities (vector): location of biomass facilities (USFS)

--	SNV RRK study area extent (vector): SNV RRK study area extent

- Credits:  Rocky Mountain Research Station
USDA Forest Service