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

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Presentation on theme: "FIA Data and Data Gaps Elizabeth LaPoint - NRS FIA Durham, NH June 2011."— Presentation transcript:

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

2 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

3 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’

4 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)

5 Bridges?

6 FIA Analysts

7 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

8 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

9 Timber Products Output Increasing number of states done annually for pulpwood

10 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.

11 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

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14 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

15 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

16 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

17 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

18 Other Carbon/Biomass Data

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


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