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A user’s wish list for extracting more value from FIA data. Steve Prisley Virginia Tech. Context: Current projects. Resource Assessment Center: Modeling wood supply with FIA/RS Identifying the “working forest ” TPO and consumption proximity zones EPA Carbon neutrality of biomass
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A user’s wish list for extracting more value from FIA data Steve Prisley Virginia Tech
Context: Current projects • Resource Assessment Center: • Modeling wood supply with FIA/RS • Identifying the “working forest” • TPO and consumption proximity zones • EPA Carbon neutrality of biomass • Identifying the “working forest” • G:R by region for working forest • NTFPs and FIA (Chamberlain, USFS) • Nitrogen deposition and FIA plot productivity (Thomas, EPA$) • FIA legacy data Q&R (Smith, USFS)
Challenge: Multi-state analyses • FIADB in Access: • Excellent tool, good reporting capability • Limited in size (by Access) • For analyses of large areas: • Use Evalidator • What about when it’s down? • Use D-I-Y reporting in another DBMS • How about an R package to ingest FIA data and produce standard reports?
Web tool enhancements • Evalidator- powerful tool, tremendous flexibility • But tedious for repetitive tasks involving detailed lists of states, complex filters • Save queries or criteria? (E.g., list of states, screening criteria- show the entire select statement to copy/paste?)
Data Enhancements • Since FIA can’t deliver detailed ownership at the plot level, they need to do more analysis relating inventory, growth, and removals by ownership class • Develop summaries by detailed owner class over FIA units • E.g., acres, harvest, growth, mortality, GS volume, etc., over detailed private ownership classes
Data Enhancements • TPO mill locations- need more accuracy • Large disparities between TPO and proprietary products • Should USFS/FIA be the “go to” place for wood utilization data? • Example: Morgan Lumber Company
UGA WDRP Location Google Maps Location TPO Mill Location
UGA WDRP Location Google Maps Location
Analysis enhancements • Advanced analysis FAQ’s? Analysis Wiki? • Tricks and tips for connecting plots over time • Tricks and tips for connecting trees over time • Finding plot disturbances • Explaining the head-scratchers
Include accuracy information Virginia Forest Acres, 2006
Include accuracy information But: Use the error matrix published by Wickham et al. (2013) to correct area estimates based on misclassification rates, then…
Virginia Forest Acres, 2006 Virginia Forest Acres, 2006 FIA Accuracy standard: ± 3%?
Program enhancements • Ability to conduct rapid update of likely disturbed plots • Many RS products focused on rapid identification of change/disturbance (e.g., VCT) • Develop approach for estimation for annual updates: • Disturbed plots/lost volume; prob(disturbance)? • Grow plots? • Sounds like AFIS