FIA Data and Data GapsFIA Data and Data GapsElizabeth LaPoint - NRS FIA Durham, NHElizabeth LaPoint - NRS FIA Durham, NH

June 2011June 2011

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 Acresin 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 dataP2 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 (2002-2006 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 elapoint@fs.fed.us

– 603-868-7675

• FIA www.fia.fs.fed.us

• FIA Carbon www.fia.fs.fed.us/Forest%20Carbon/default.asp• Woods Hole Carbon/Biomass www.whrc.org/mapping/nbcd/• Landfire www.landfire.gov/• NAFD http://ledaps.nascom.nasa.gov/overview/overview.html