Skip to main content

Average Basal Area for Select Nitrogen Fixing Tree Species

Citation

Wilson, Barry Tyler; Lister, Andrew J.; Riemann, Rachel I.; Griffith, Douglas M. 2013. Live tree species basal area of the contiguous United States (2000-2009). Newtown Square, PA: USDA Forest Service, Rocky Mountain Research Station. https://doi.org/10.2737/RDS-2013-0013

Summary

These data were derived from Wilson et al 2013 for the species in the list below (at least the ones for which rasters are available, skip the other ones),. Rasters were retrieved and the basal area was summed at 250 meter resolution. This raster was then clipped by NLCD 4 Level I, forest. Vachellia farnesiana var farnesiana (Vachellia is a subgenus of Acacia genus - the only tree genus representing Acacia in the U.S.) Alnus rubra Alnus rhombifolia (but no raster from the Wilson 2013 pub ) Alnus oblongifolia ( but no raster from the Wilson 2013 pub ) Cercocarpus ledifolius Prosopis glandulosa var. torreyana ( but no raster from the Wilson 2013 pub ) Prosopis velutina Prosopis pubescens Robinia pseudoacacia Robinia neomexicana [...]

Attached Files

Click on title to download individual files attached to this item.

Basal_Area_PU01.zip 465.71 KB application/zip
Basal_Area_PU02.zip 1,020.62 KB application/zip
Basal_Area_PU03N.zip 960.45 KB application/zip
Basal_Area_PU03S.zip 383.78 KB application/zip
Basal_Area_PU03W.zip 936.69 KB application/zip
Basal_Area_PU04.zip 812.42 KB application/zip
Basal_Area_PU05.zip 1.42 MB application/zip
Basal_Area_PU06.zip 479.06 KB application/zip
Basal_Area_PU07.zip 1.37 MB application/zip
Basal_Area_PU08.zip 1.08 MB application/zip
Basal_Area_PU09.zip 207.13 KB application/zip
Basal_Area_PU10L.zip 1.39 MB application/zip
Basal_Area_PU10U.zip 1.75 MB application/zip
Basal_Area_PU11.zip 1.53 MB application/zip
Basal_Area_PU12.zip 608.77 KB application/zip
Basal_Area_PU13.zip 453.73 KB application/zip
Basal_Area_PU14.zip 569.28 KB application/zip
Basal_Area_PU15.zip 730.84 KB application/zip
Basal_Area_PU16.zip 653.39 KB application/zip
Basal_Area_PU17.zip 1.69 MB application/zip
Basal_Area_PU18.zip 1,010.04 KB application/zip

Material Request Instructions

Select tree species basal area raster data were retrieved and summed into 1 raster using Map Algebra. The following python code was used to estimate an average basal area for select tree species per NHDPlus reach catchment: import os, sys, arcpy from arcpy import env from arcpy import sa from arcpy.sa import * from datetime import datetime wks = r"E:/basal/NLCD4" env.workspace = wks startTime = datetime.now() # Check out Spatial Analyst extension license arcpy.CheckOutExtension("Spatial") from arcpy.sa import * from arcpy import env arcpy.env.overwriteOutput = True env.qualifiedFieldNames = False # Set the Geoprocessing environment... arcpy.scratchWorkspace = "E:/basal/NLCD4" arcpy.env.geographicTransformations = "" arcpy.env.outputCoordinateSystem = "PROJCS['NAD_1983_Albers',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Albers'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-96.0],PARAMETER['Standard_Parallel_1',29.5],PARAMETER['Standard_Parallel_2',45.5],PARAMETER['Latitude_Of_Origin',23.0],UNIT['Meter',1.0]]" arcpy.env.pyramid = "NONE" NHD_dir = "Q:/WORK/NHDPlusV2" tv = "tv" tvStat = "tvStat" tmpTable2 = "temp2.dbf" #Local variables... inputs = {'CA':['18'],'CO':['14','15'],'GB':['16'],'GL':['04'],'MA':['02'],'MS':['05','06','07','08','10L','10U','11'],'NE':['01'],'PN':['17'],\ 'RG':['13'],'SA':['03N','03S','03W'],'SR':['09'],'TX':['12']} for regions in inputs.keys(): for hydro in inputs[regions]: print ('Region: ' + regions + ' Production unit: ' + hydro) inZoneData = "%s/NHDPlus%s/NHDPlus%s/NHDPlusCatchment/cat"%(NHD_dir,regions,hydro) print (inZoneData) zoneField = "VALUE" print (zoneField) valGrid = r"E:/basal/NLCD4/NLCD4.gdb/Nbasal_area" print (valGrid) outTable = "temp0.dbf" print (outTable) arcpy.env.cellSize = inZoneData arcpy.env.Extent = inZoneData arcpy.env.SnapRaster = inZoneData outTable1 = "E:/basal/dbfs/Basal_PU%s.dbf"%(hydro) outTable1 = os.path.join(wks,outTable1) catShape= "%s/NHDPlus%s/NHDPlus%s/NHDPlusCatchment/catchment.shp"%(NHD_dir,regions,hydro) print (catShape) print (outTable1) outZSaT = ZonalStatisticsAsTable(inZoneData, zoneField, valGrid, outTable, "DATA", "MEAN") # join catchment shape attributes to stats and write out arcpy.MakeTableView_management(catShape,tv) arcpy.MakeTableView_management(outTable,tvStat) #arcpy.AddIndex_management(tvStat, "VALUE","IDX") arcpy.AddJoin_management (tv, "GRIDCODE", tvStat, "VALUE") arcpy.CopyRows_management(tv,tmpTable2) print (catShape) # Set up desired fields and order for output arcpy.CreateTable_management(os.path.dirname(outTable1), os.path.basename(outTable1)) arcpy.AddField_management(outTable1,"FEATUREID","LONG") arcpy.AddField_management(outTable1,"AREASQKM","DOUBLE") arcpy.AddField_management(outTable1,"basin_area","DOUBLE") arcpy.AddField_management(outTable1,"nodata_are","DOUBLE") arcpy.AddField_management(outTable1,"NODATA","DOUBLE") arcpy.AddField_management(outTable1,"AREA","DOUBLE") arcpy.AddField_management(outTable1,"MEAN","DOUBLE") # statistic value arcpy.AddField_management(outTable1,"BASAL","DOUBLE") # raster name #statistic value arcpy.AddField_management(outTable1,"COMID","LONG") # delete dummy field added by CreateTable arcpy.DeleteField_management(outTable1,"ID") # Copy matching fields to the output table arcpy.Append_management(tmpTable2,outTable1,"NO_TEST") # tag non-matches with the zonal stat = -9999 arcpy.MakeTableView_management(outTable1,tv) arcpy.CalculateField_management(tv,'COMID', '!FEATUREID!', "PYTHON_9.3") arcpy.CalculateField_management(tv,'basin_area', '!AREASQKM! * 1000000', "PYTHON_9.3") arcpy.CalculateField_management(tv,'BASAL', '!MEAN!', "PYTHON_9.3") arcpy.CalculateField_management(tv,'nodata_are', '!basin_area! - !AREA!', "PYTHON_9.3") arcpy.CalculateField_management(tv,'NODATA', '(!nodata_are! /!basin_area!) * 100', "PYTHON_9.3") where = "AREA = 0" # if output is GDB use "AREA IS NULL" arcpy.SelectLayerByAttribute_management(tv,"",where) arcpy.CalculateField_management(tv,"NODATA","100", "PYTHON_9.3") arcpy.CalculateField_management(tv,"BASAL","0", "PYTHON_9.3")

Purpose

For use in SPARROW model to estimate nitrogen fixation from tree species.

Communities

  • National Water-Quality Assessment - Hydrologic Systems Team (NAWQA - HST)
  • National Water-Quality Assessment Project

Provenance

Data source
Input directly

Item Actions

View Item as ...

Save Item as ...

View Item...