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A user’s wish list for extracting more value from FIA data

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

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  1. A user’s wish list for extracting more value from FIA data Steve Prisley Virginia Tech

  2. 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)

  3. 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?

  4. 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?)

  5. 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

  6. 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

  7. UGA WDRP Location Google Maps Location TPO Mill Location

  8. UGA WDRP Location Google Maps Location

  9. 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

  10. Include accuracy information Virginia Forest Acres, 2006

  11. Include accuracy information But: Use the error matrix published by Wickham et al. (2013) to correct area estimates based on misclassification rates, then…

  12. Virginia Forest Acres, 2006 Virginia Forest Acres, 2006 FIA Accuracy standard: ± 3%?

  13. 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

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