FIA Data and Data Gaps Elizabeth LaPoint - NRS FIA Durham, NH June 2011

Invasive Species Biomass/Carbon Tree Species Tree Canopy “Old Growth” Site Productivity Ownership Demographics Harvest information Stand Age Stand Structure Forest Type Crown dieback Ozone Understory vegetation Identified Data Gaps

FIA Changes FY 2011 NRS FIA budget cut Working on ‘lite’ protocols FY 2012 NRS FIA budget cut more 12% of P2 plots ‘lite’= 2x P3 intensity FY 2013 ????? 25% subsample of ‘lite’

FIA Changes FIADB 5.0 is coming Ozone & Lichens ‘core optional’ in NRS Phasing in P3 indicators as ‘lite’ versions on more plots – Invasives – Veg - understory – Down Woody Material – Soils (maybe)

Bridges?

FIA Analysts

Tree-of-Heaven, Ailanthus 1,000 – 10,000 < 1,000 Not Detected Forest Acres in a County Occupied US Forest Service SRS FIA database March 2008 Miller and Chambliss, Auburn P3 data will be loaded this fall for pre-Oct 2010 data P2 invasives starting this summer – ‘lite’ Focus on short list developed with states Invasives

P3 veg vs ‘P2 Lite’ veg Dominant species Understory community Analyses of wide-spread species Cannot assess diversity All vascular species Species diversity assessment Abundance and distribution of nonnative species Both: total cover by life form and layer

Timber Products Output Increasing number of states done annually for pulpwood

NLCD Canopy Cover When? – End of 2012 for CONUS and other areas to follow. – Next round will begin in 2015 Relatable to 2001 product? – No. Similar resolution but different method. Modeled from %tree cover from photo interpreting NAIP using 2011/2010/2009 landsat Remote Sensing.

Fragmentation Template being developed for ‘standard’ metrics – Distance to roads – Forest patch size – Interior vs edge status NH, WV and southern New England done County or ecoregion summary

FIDO layers Modeled layers at 250m resolution – Forestland not timberland – Volume/basal area/number of stems – Stand age or size – Site productivity – Crown dieback & ratio – Biomass and Carbon – Forest type or type group, species or species group

Modified Gradient Nearest Neighbor Canonical Correspondence Analysis (CCA) – Sets of variables used to predict other sets of variables – Relationship is bell curve not linear CCA to predict live BA by tree species on each plot – using MODIS vegetation phenology ( imagery date) – climate data from DayMet – topo data from EDNA – Omernick’s ecoregions – x,y location

FIA’s Carbon Data FIA’s data – Tree measurements Aboveground and belowground Tree components – Condition models Standing dead Understory above- and belowground Down dead Soil organic carbon Litter

Woods Hole Dataset National Carbon and Biomass Dataset – Predictors SRTM, Landsat, FIA, NED, NLCD, Landfire – Basal Area weighted canopy height – Aboveground live dry biomass – Standing carbon stocks

Other Carbon/Biomass Data

Links Liz LaPoint – FIA FIA Carbon Woods Hole Carbon/Biomass Landfire NAFD