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Terrestrial Carbon Sequestration: Baselines, Supply Curves, Monitoring and Pilot Projects John KadyszewskiWinrock InternationalSeptember 30, 2003West Coast Partnership
Winrock International 2003
SummaryObjectives of Terrestrial Sequestration ComponentExperience with Analytical FrameworkExamples from CaliforniaAnalysis of Pilot Projects
Objectives
Winrock International 2003
Terrestrial TasksBaseline for Region Supply Curves for Economic Assessment of Terrestrial SequestrationAnalysis of Pilot Projects
Analytical Framework
Winrock International 2003
Creating a BaselineTwo components:Land-use change between two points in timeCorresponding changes in carbon stocksTo obtain a trend need at least three points in time and two time intervals
Winrock International 2003
General Approach for Carbon SupplyDivide lands into three main categories:Forests RangelandsAgricultureIdentify options for enhancing carbon sequestration for each categoryEstimate:area availablehow much and whereamount of carbon sequestration over 20, 40, and 80 year periods
Winrock International 2003
Overall Data Structure
Winrock International 2003
Primary Data SourcesNational Cooperative Soil Survey -- STATSGO USGS 1:250,000 Digital Elevation Model1992 USGS National Land Cover Data (NLCD) Project USDA Forest Inventory and Analysis National AtlasGAP AnalysisNational Wetlands Inventory
Winrock International 2003
Example from Arkansas, Louisiana and Mississippi
Winrock International 2003
Types of carbon projects
Present land useProject activityAgriculture or non-forested landReforest with native speciesAgriculture or non-forested landCommercial plantationsAgriculture or non-forested landSwitch cropsConventional tillageConservation tillageGrazing landsRestore riparian zonesManaged forestsChange management goalsManaged forestsProtect and conserve forests
Winrock International 2003
Estimating the Supply of Carbon OffsetsCategories of Costs: Opportunity costs of producing carbonConversion costsMeasuring and monitoring costsLand management costsContract costsRisk aversion factors
Winrock International 2003
Example: Afforestation
Winrock International 2003
Pilot Project OptionsAfforestationRiparian managementWildland fire management linked to biomass energyForest management (alternative silviculture)Increase carbon intensity of agriculture
Examples from California
Winrock International 2003
Baseline for ForestsFive sub-regions(1) North Coast, (2) South Coast, (3) North Cascade, (4) North Sierra, (5) South SierraSeven primary causes of change(1) Fire, (2) Harvest, (3) Development, (4) Regrowth, (5) Seasonal, (6) Other, (7) Unclassified
Winrock International 2003
Reconcile Available Data
Chart1
14830001513220027930426.721304431248235.314433938100038949000
1351000150087003896400039675000
1150000146804003854700039559535.22
11160001429540040233000
USDA / NASS
NRCS / NRI
USGS (GIS)
FRAP (GIS)
USFS / FIA
FIA (CDF)
YEAR
ACRES
Woodland / Forest
source-comparisons
YEARownerAgencyPastures and RangelandCroplandOther landForest / Woodland (may include Woodland Pastures)CRP landTotal Ag landTotal Rural LandActual Total Rural Land
1977allFRAP (GIS)(Urban - Agriculture)19,434,48219,434,482
1982privUSDA / NASS17,980,00011,257,0001,437,0001,483,000---------------------32,157,000----------32,157,000
privNRCS / NRI19,752,60010,520,3004,378,90015,132,2000----------49,784,00049,784,000
1984allFRAP (TIAN)38,949,000
1987privUSDA / NASS17,111,00010,895,0001,241,0001,351,000---------------------30,598,000----------30,598,000
allUSFS / FIA39,381,000
privNRCS / NRI19,498,30010,223,5004,403,20015,008,700117,200----------49,250,90049,250,900
1990allGAP (GIS)55,724,167
1992privUSDA / NASS16,191,00010,479,0001,158,0001,150,000---------------------28,979,000----------28,978,000
privNRCS / NRI18,490,60010,051,6004,569,80014,680,400180,700----------47,973,10047,973,100
allUSFS / FIA38,964,000
allUSGS (GIS)55,063,2297,868,96327,930,42790,862,618
privFMMP (GIS)8,331,9488,066,6886,969,282
1994allFRAP (TIAN)39,675,000
1995allFRAP (GIS)56,310,67511,422,19331,248,235
1997privUSDA / NASS14,385,00010,804,0001,394,0001,116,000---------------------27,699,000----------27,699,000
privNRCS / NRI18,522,1009,560,5004,687,40014,295,400173,000----------47,238,40047,238,400
allFRAP (TIAN)44,864,32010,023,2514,981,71139,559,535
allUSFS / FIA38,547,000
privKuminoff, et al15,000,00011,700,00026,700,000Total adjusted by Kuminoff, et al (2000) - removed grazing lands considering FMMP data
allKuminoff, et al31,500,000
govKuminoff, et al16,500,000
2000privFMMP (GIS)9,477,0188,962,0558,156,816--------------------
2002allUSFS / FIA40,233,000
1992 Landuse areas (USGS)2002 Multisource landuse areas (FRAP)
ClassAcresClassAcres
Open Water4,966,691Agriculture11,422,193
Perennial Ice/Snow9,775Barren/Other2,284,204
Low Intensity Residential1,849,751Conifer21,372,087
High Intensity Residential258,830Desert23,549,483
198739,381,000Commercial/Industrial/Transportation748,422Hardwood9,876,149
199238,964,000Bare Rock/Sand/Clay6,047,217Herbaceous10,920,720
199738,547,000Quarries/Strip Mines/Gravel Pits24,745Shrub14,575,870
200240,233,000Transitional80,624Urban4,911,437
Deciduous Forest1,887,581Water1,487,048
Evergreen Forest22,719,330Wetland539,864
Mixed Forest3,323,516proportions
Shrubland35,640,443croplandwoodlandrangelandotherCRP landtotal
Orchards/Vineyards/Other2,656,3261992USDA0.360.040.560.041.00
Grasslands/Herbaceous15,074,706NRI0.210.310.390.100.0041.00
Pasture/Hay4,011,615USGS / NLCD (GIS)0.090.310.611.00
Row Crops3,220,695
Small Grains1,965,604
Fallow26,338
Urban/Recreational Grasses160,173FMMP*Acres*figures derived from mosaicks of equal coverage area of GIS coverages from 1992 and 2000 (+/- 1 year)
Woody Wetlands48,926Class1992200019922000
Emergent Herbaceous Wetlands336,464developed (FMMP-maps)1,937,2602,478,403
Total land area110,024,463Grazing land8,331,9489,477,018
Agriculture8,066,6888,962,05516,398,63618,439,073
Other land6,969,2828,156,816
Water621,502643,073
source-comparisons
00000000
000
00
00
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP (TIAN)
GAP (GIS)
YEAR
ACRES
Rangeland Baselines
rpa-2002
00000000
000
00
00
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP-CALVEG77 (GIS)
FRAP (TIAN)
YEAR
ACRES
Agriculture Baselines
LCMMP-acres
000000
0000
0000
000
USDA / NASS
NRCS / NRI
USGS (GIS)
FRAP (GIS)
USFS / FIA
FRAP (TIAN)
YEAR
ACRES
Woodland / Forest Baselines
UC-davis-range-definition
2002, RPAACRES
Forest lands
Region, subregion, and stateTotal Land AreaTotal Forest LandTimberlandReservedOtherOther LandWater
California99,824,00040,233,00017,781,0006,453,00015,998,00059,591,0004,950,000
For 2002, reserved forest includes lands previously classified as unproductive reserved and tabulated under the other forest category.
For 2002, other forest no longer includes lands classified as unproductive reserved. This area, amounting to about 12 million acres in 1987, is now included in the reserved forest category.
Note: Data may not add to totals because of rounding.
TIAN
CovertypeSum_Acres
AGR2,053,570.7
BAR1,221,462.9
CON16,166,544.7
HDW6,739,087.6
HEB5,201,864.8
MIX4,234,684.01996
NYM264,912,576.0LCMMP (GIS)
SHB13,330,420.418,532,285.2
URB2,128,153.3
WAT888,436.8
MAPPED51,964,225.2
ALL316,876,801.2
Proportion0.16
Rangelands (UC-Davis criteria)23,364,315.50.45
Total Land Area100,962,880
Rangeland62,960,1290.62
Fveg2002 - shapefile56,093,307.3~1994
Fveg2002 - grid56,310,675.0~1995
GAP - vector55,724,167.4~1990
GAP - documentation55,928,900.5~1990
TIAN
0
0
0
0
0
0
0
0
Sum_Acres
COVERTYPE
ACRES
COVER TYPE ACREAGE(16% of CA area mapped)
GAP-areas
Wildlife Habitat Relationships DatabaseWHRRANGELANDS - from GAP documentation
Vegetation TypeCodeCaliforniaWhr_habitaKm2Whr1Acres
Total Land Area100,962,880
Rangeland62,960,129
Alpine-Dwarf ShrubADS180,500Alpine-Dw755ADS186,568
Annual GrasslandAGS7,139,035Annual Gr28921AGS7,146,668
Alkali Desert ScrubASC3,681,661Alkali De16885ASC4,172,452
BitterbrushBBR40,831Bitterbru218BBR53,870
Blue Oak-Foothill PineBOP3,673,785Blue Oak-14400BOP3,558,384
Blue Oak WoodlandBOW2,823,006Blue Oak10579BOW2,614,177
Coast Oak WoodlandCOW921,156Coastal O4419COW1,091,979
Chamise-Redshank ChaparralCRC10,173,948Chamise-R10498CRC2,594,161
Coastal ScrubCSC1,657,433Coastal S7598CSC1,877,542
Desert RiparianDRI47,838Desert Ri363DRI89,701
Desert ScrubDSC18,619,229Desert Sc70343DSC17,382,459
Desert Succulent ShrubDSS807,485Desert Su4459DSS1,101,863
Desert WashDSW858,480Desert Wa3017DSW745,531
Joshua TreeJST58,296Joshua Tr379JST93,655
JuniperJUN2,180,612Juniper8210JUN2,028,773
Low SageLSG620,118Low Sage2778LSG686,472
Mixed ChaparralMCH3,189,451Mixed Cha14300MCH3,533,673
Montane ChaparralMCP577,069Montane C3104MCP767,029
Montane RiparianMRI1,619,876Perennial477PGS117,871
Perennial GrasslandPGS88,642Pinyon-Ju6359PJN1,571,372
Pinyon-JuniperPJN1,635,490Sagebrush13668SGB3,377,499
Palm OasisPOS3,029Valley Oa3130VOW773,454
SagebrushSGB3,062,991Valley-Fo800VRI197,688
Valley Oak WoodlandVOW633,182Wet Meado672WTM166,058
Valley-Foothill RiparianVRI163,01755,928,901
Wet MeadowWTM126,871
Total (?)64,583,031
Alpine-Dwarf Shrub
Annual Grassland
Alkali Desert Scrub
Bitterbrush
Blue Oak-Foothill Pine
Blue Oak Woodland
Coast Oak Woodland
Chamise-Redshank Chaparral
Coastal Scrub
Desert Riparian
Desert Scrub
Desert Succulent Shrub
Desert Wash
Joshua Tree
Juniper
Low Sage
Mixed Chaparral
Montane Chaparral
Perennial Grassland
Pinyon-Juniper
Sagebrush
Valley Oak Woodland
Valley-Foothill Riparian
Wet Meadow
UC-Davis-range-doc
TIANtotal (1998)TIAN1953197519841994TIAN
Forest land39,559,535Timberland17,317,00016,299,00016,264,00016,651,000National Forests17,872,000
Crop land10,023,251Reserved, withdrawn, or deferred timberland1,202,0001,645,0002,072,0003,175,000Other public5,045,000
Other4,981,711Other forest land24,022,00022,216,00020,613,00019,849,000Forest industry4,477,00021,802,000
Pasture/Rangeland44,864,320Total forest land42,541,00040,160,00038,949,00039,675,000Other private12,280,000
99,428,81839,674,000
Timberlands
1953197519841994
National Forest8,573,0008,168,0008,286,0008,783,000
Other public691,000499,000517,000570,000
Private8,053,0007,632,0007,460,0007,297,000
17,317,00016,299,00016,263,00016,650,000
from:http://frap.cdf.ca.gov/projects/forest_extent/forest_extent.pdf
http://frap.cdf.ca.gov/projects/forest_extent/forest_extent.pdf
Rangelands
FederalStatePrivateMisc.TotalRANGELANDS
WHR CodeWHR Habitat Name (Mayer and Laudenslayer 1988)km2%km2%km2%km2%km2Whr_habitaKm2Whr1Acres
SCNSubalpine Conifer3,71395.490.21694.4003,891Alpine-Dw755ADS186568.05247.11
RFRRed Fir5,09488130.268011.7005,787Annual Gr28921AGS7146668.31
LPNLodgepole Pine2,00895.850.3823.9002,097Alkali De16885ASC4172452.35
SMCSierran Mixed Conifer1,64164.5820.931734.630.114,606Bitterbru218BBR53869.98
WFRWhite Fir1,94666.3120.497333.230.12,935Blue Oak-14400BOP3558384.00
KMCKlamath Mixed Conifer3,73372.7160.31,35826.4300.65,137Blue Oak10579BOW2614176.69
DFRDouglas-Fir2,32254.8270.61,86143.9280.74,239Coastal O4419COW1091979.09
JPNJeffrey Pine6,33379.4720.91,53619.3370.57,980Chamise-R10498CRC2594160.78
PPNPonderosa Pine9,87159.71170.76,43439.3520.316,385Coastal S7598CSC1877541.78
EPNEastside Pine3,25269.360.11,42330.480.24,690Desert Ri363DRI89700.93
RDWRedwood3505.465610.15,39582.81161.86,517Desert Sc70343DSC17382458.73
PJNPinyon-Juniper5,53387126268910.8100.26,359Desert Su4459DSS1101863.49
JUNJuniper5,086621321.62,96836.2220.38,210Desert Wa3017DSW745530.87
ASPAspen2249010.3249.510.2249Joshua Tr379JST93654.69
CPCClosed-Cone Pine-Cypress75060.8383.143435.21211,233Juniper8210JUN2028773.10
MHCMontane Hardwood-Conifer4,36542.21331.35,55853.72922.810,349Low Sage2778LSG686471.58
MHWMontane Hardwood4,43039.81791.66,28056.52282.111,118Mixed Cha14300MCH3533673.00
BOWBlue Oak Woodland1,25011.81541.58,91184.22622.510,579Montane C3104MCP767029.44
VOWValley Oak Woodland1835.8451.42,83690.6662.13,130Perennial477PGS117871.47
COWCoastal Oak Woodland49011.11042.43,58281.12435.54,419Pinyon-Ju6359PJN1571372.49
BOPBlue Oak-Foothill Pine2,69918.73322.311,22578141114,400Sagebrush13668SGB3377499.48
MRIMontane Riparian21841.6101.925648.8417.7524Valley Oa3130VOW773454.30
VRIValley-Foothill Riparian10012.5718.959975293.6800Valley-Fo800VRI197688.00
DRIDesert Riparian24968.4174.77721.3205.6363Wet Meado672WTM166057.92
POSPalm Oasis687.1112.200.700755928900.52
JSTJoshua Tree15340.561.520153.1195379
ADSAlpine-Dwarf Shrub75199.50040.500755
LSGLow Sage2,05874.1351.366123.8230.82,778
BBRBitterbrush16475.510.64922.431.5218
SGBSagebrush10,17474.42471.83,02922.22031.513,668
MCPMontane Chaparral2,19070.6200.788828.650.23,104
MCHMixed Chaparral8,30658.13712.65,25536.83672.614,300
CRCChamise-Redshank Chaparral4,89646.62552.44,96347.33833.610,498
CSCCoastal Scrub1,72822.72032.75,44271.62242.97,598
DSSDesert Succulent Shrub2,65259.51,07224.165414.7801.84,459
DSWDesert Wash2,32577.1632.159719.8321.13,017
DSCDesert Scrub54,60377.62,805412,674182600.470,343
ASCAlkali Desert Scrub11,57068.52901.74,09624.39275.516,885
AGSAnnual Grassland3,02710.54041.425,00786.54821.728,921
PGSPerennial Grassland14430.2234.930664.240.7477
WTMWet Meadow34150.7284.228241.9223.2672
FEWFreshwater Emergent Wetland39930.313510.374956.9342.61,317
SEWSaline Emergent Wetland2014.32820.98763.910.9136
ESTEstuarine94.33616.53717.313461.9216
BARBarren7,10285.91061.37719.32903.58,269
Wildlife Habitats and Management StatusWildlife Habitats and Management Status
data-availablity
http://agronomy.ucdavis.edu/calrng/Vegmaps/rangeacres.html
Rangeland AcreageUsing acreage data from the Gap Analysis Project CD-ROM and the habitat classes from the California Wildlife Habitat Relationships Database (CWHR) we developed these tables of rangeland acreage for California's 58 counties. The Gap Analysis Project used remotely sensed data to classify the habitat types. Because this method is different from the estimation methods used in the past these numbers may differ from those reported from other sources. To determine county rangeland acreage the rangeland habitat types in the CWHR for each county were combined. Twenty-six of the CWHR habitat types were classified as rangelands based on the Society for Range Management's definition of rangelands that includes natural grasslands, savannas, shrublands, most deserts, tundra, alpine communities, and wet meadows. We included pinon-juniper and juniper habitat types but not other forest habitat types that may be grazed.
This classification results in a total rangeland acreage of 62.9 million acres for California. The figure of 40 million acres of rangeland is often used, however that is not correct. California has about 40 million acres of grazed land. In 1988 the California Department of Forestry and Fire Protection reported that about 41 million acres of California land was grazed and 17.9 million of those acres were privately owned and provided more than 90 percent of the state's grazed forage (CDFF 1988).
There are some inaccuracies in the mapping of habitat types. Satalite imagary is not very accurate for distinguishing some habitat types and ground truthing is not possible for a project of this scale. However, used at the county to regional level these maps can provide a better assessment of rangeland acreage than any method that has been used in the past.
The California Gap Analysis Project (CA-GAP) was initiated in 1990 as a cooperative effort between the U.S. Fish and Wildlife Service and researchers at the University of California, Santa Barbara. Dozens of public and private organizations also provided invaluable support. The objectives of the project were to 1) develop new geographic information system (GIS) databases of land-cover, wildlife habitats, predicted distributions of native wildlife species, and land stewardship and management; 2) identify land-cover types and wildlife species that are inadequately represented in existing biodiversity management areas (i.e., the "gaps"); and 3) make all CA-GAP information available to users to encourage and facilitate its use so that resource managers may be more effective stewards of California's biological heritage.
Reference
CDFF. 1988. California's Forests and Rangelands: Growing Conflict Over Changing Uses. Forest and Rangeland Resources Assessment Program (FRRAP), Calif. Dept. of Forestry and Fire Protection. Pg 99.
Rangeland Habitat Types
Intermountain/High Elevation
Pinyon-Juniper Juniper Alpine-Dwarf Shrub Low Sage Bitterbrush Sagebrush Wet Meadow Montane Riparian
Mediterranean Type
Annual Grassland Blue Oak Woodland Valley Oak Woodland Coastal Oak Woodland Blue Oak-Foothill Pine Valley-Foothill Riparian Montane Chaparral Mixed Chaparral Chamise-Redshank Chaparral Coastal Scrub Perennial Grassland
Desert
Desert Riparian Palm Oasis Joshua Tree Desert Succulent Shrub Desert Wash Desert Scrub Alkali Desert Scrub
http://agronomy.ucdavis.edu/calrng/Vegmaps/rangeacres.html
Sheet2
SourceData usedlands included
USDA/NASSmailed census from farmersprivate and BLM leased lands- agricultural counties predominate
NRCS/NRIsample pointsprivate lands only -mostly rural
USGS (GIS)National Land Cover Data (NLCD) aggregation of herbaceous and shrub classesall California lands
Kuminoff, et alaggregation of USDA/NASS, FMMP, FS and BLM dataall California lands (allegedly)
FRAP (GIS)CDF-FRAP multisource veg map reclassified using Melvin George's criteria for rangelandsall California
FMMP (GIS)FMMP maps of California agricultural areaslimited coverage of California's prime agricultural counties
FRAP (TIAN)statistics taken from Tian-Ting Shih's "Land Base of CA's forests" (1998)all California (allegedly)
LCMMP (GIS)acreage taken from LCMMP vegetation mapsfor 5 LCMMP study areas
GAP (GIS)UCal, SB's GAP analysis veg map reclassified using Melvin George's criteria for rangelandsall California
Sheet2
179800001975260055063228.88410563150000056310675.048928331948.20744864320.0255724167.43518532285.2147
17111000194983009477017.954
1619100018490600
1438500018522100
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP (TIAN)
GAP (GIS)
LCMMP (GIS)
YEAR
ACRES
Rangeland Baselines
Sheet3
REGION
North CoastSouth CoastNorth CascadeNorth SierraSouth SierraCentral Valley*
MAPSYear 1---------------------------------------delivery pending---------------------------------------X
Year 2XXdelivery pendingXXX
Year 3-----creation pending-----X-----creation pending-----X
Change from year 1 to 2XXXXXn/a
Change from year 2 to 3-----creation pending-----X-----creation pending-----n/a
Cause of change from year 1 to 2XXXXXn/a
Cause of change from year 2 to 3---------------------------------------creation pending--------------------------------------n/a
*For county-level agricultural analysis using USDA-NASS census data
Winrock International 2003
North Coast: Carbon Gains and LossesThe gross changes in stored carbon between 1994 and 1998 for forests in North Coast California :CauseConsequence
Fire- 388,000metric tons of CarbonHarvest- 1,025,000 Development- 2,400 Regrowth+ 207,000 Seasonal+ 200Other- 48,000
Unclassified- 1,870,000
TOTAL- 3,126,200 metric tons of Carbon
Winrock International 2003
FireBetween 1994 and 1998 WHR data for North Coast California records:
17,719 ha affected by fire 1,262 ha showed a large decrease in canopy coverage
Gross loss in aboveground biomass carbon:Douglas-fir146,000 tons of CarbonFir-Spruce2,000 tCHardwoods118,000 tCOther Conifers122,000 tCRedwood0 tC
TOTAL388,000 tC
Winrock International 2003
HarvestBetween 1994 and 1998 WHR data for North Coast California records:
28,411 ha affected by logging 3,803 ha showed a large decrease in canopy coverage
Gross loss in aboveground biomass carbon:Douglas-fir212,000 tons of CarbonFir-Spruce10,000 tCHardwoods119,000 tCOther Conifers44,000 tCRedwoods640,000 tC
TOTAL1,025,000 tC
Winrock International 2003
RegrowthBetween 1994 and 1998 WHR data for North Coast California records:
29,515 ha of forest regrowth 4,363 ha with a large increase in canopy coverage through regrowth
Increases in aboveground carbon:
Douglas-fir65,000 tons of CarbonFir-Spruce5,000 tCHardwoods35,000 tCOther Conifers33,000 tCRedwoods69,000 tC
TOTAL207,000 tC
Winrock International 2003
Baseline for Agricultural LandsDivided crops into two main classes based oncarbon densities
Broad land use
Specific land use
Low carbon density crops
Row and small grain crops
Hay/Grass/Legume
Summer Fallow
Other, Set Aside etc.
High carbon density crops
Horticulture/Fruit
Horticulture/Nut
Horticulture/Vineyard
Horticulture/Bush fruit
Horticulture/Berry
Horticulture/other
Winrock International 2003
Area of Agricultural Land in California 1000 haOverall loss of 232,00 ha or 5.3% of the 1987 area88% of total loss
Year
Agricultural
land
High carbon density land
Low carbon density land
1987
4,115
1,040
3,075
1992
4,063
1,008
3,055
1997
3,883
1,013
2,870
Winrock International 2003
Change in Area by Land Use
Reclass (3)
Reclassify1982198719921997
1Hort/Fruit8921878884988545
2Hort/Nut7656794874227676
3Hort/Vineyard8096804079598182
5+6Hort/Berry/other8779251023627
11Row/Corn4497403521932770
14Row/Cotton16237133301346713555
17+18+19Row/otherVeg/truck8586889870286269
12+13+20+21Row/others2742200635733191
6000Small Grains28213297392217421424
7000Hay19050179672705723712
47263477064923145136
7001Pasture13803148741185510882
8000Rangeland188935186419180662182693
9000Forest145002145106142462139356
9999Urban/H2O102412106737113395119886
0Federal land460075460290466334466334
1982~1997
Landuse19821987199219971982~19871987~19921992~19971982~1997Reclassify
04600754602904663344663342156044062590
18921878884988545-133-29047-3761
27656794874227676292-526254202
38096804079598182-56-81223863
531740135445284-47981355
6560524669175-36145-494-3856
114497403521932770-462-1842577-172711
1223212026582-112145-183-15012
1347000-4700-4713
1416237133301346713555-290713788-268214
1725801734934608-846-800-326-197217
18222388128145166-26017-7718
195784677659665516992-810-450-26819
202313174332873109-5701544-17879620
21150143210-7-122-21-15021
1118958838560246939-573-2361915-20196000
112702994101976429225-255626000
1136785674049826108-45-17581126-6776000
114910810611667535701503-3936-3105-55386000
116266030093474404334946556913836000
141233924032606225264203-354-877000
14279979317821883061320-1099883097000
143108498313741242-101391-1321587000
1704592229138372710-23011546-1127-18827000
18030382973110229202-658049-182061647000
2116067646942974191402-2172-106-18767001
21286979316110-48237001
2137728833674796660608-857-819-10687001
250188935186419180662182693-2516-57572031-62428000
34162037627686045860097731-2310-361-19409000
34282965823388200479259-627-334-2745-37069000
40025222655276130211331062604999999
401900107413341374174260404749999
41001172180717281172635-7917289999
6111313132613261280130-46-339999
61214853148061485313133-4747-1720-17209999
6131456144913991373-7-50-26-839999
61413713778670-59-11-709999
615661642692616-1950-76-459999
61615453154361583117401-17395157019489999
61710510110155-40-46-509999
6181357148516001552128115-481959999
619167167502040-117154379999
620358350317345-8-3328-139999
6300130013-13009999
640248125532652297972993274989999
6506666238431540-432206978749999
70033072357404043445453266846945019123819999
7301668168419562508162725528409999
8006640662066376600-2017-37-409999
90164466066970516936619999
9022372452371568-8-81-819999
9116346396317035-872699999
9121423141913691274-4-50-95-1499999
92015665157411581815819767711549999
&A
Page &P
Reclass
ReclassifySum Of 1982SumOf1987SumOf1992SumOf1997
0Federal land460075460290466334466334
1Hort/Fruit8921878884988545
2Hort/Nut7656794874227676
3Hort/Vineyard8096804079598182
5Hort/Berry317401354452
6Hort/other560524669175
11Row/Corn4497403521932770
12Row/Sorghum23212026582
13Row/Soybean47000
14Row/Cotton16237133301346713555
17Row/Sugarbeet25801734934608
18Row/Potato222388128145
19Row/otherVeg/truck5784677659665516
20Row/others2313174332873109
21Row/Sunflower150143210
6000Small Grains28213297392217421424
7000Hay19050179672705723712
7001Pasture13803148741185510882
8000Rangeland188935186419180662182693
9000Forest145002145106142462139356
9999Urban/H2O102412106737113395119886
SUM1015102101510210151021015102
Chart1
355.65036343.91406345.81615
321.65556300.36834310.64772
325.3788322.10073331.12554
37.4347541.4008125.37469
163.2964588.75071112.1019
539.4651545.00949548.57085
360.10206284.42316253.70643
81.18282144.59931129.13977
1203.53733897.38178867.02928
727.124491094.99679959.62464
1987
1992
1997
Area of land use (1000 ha)
Reclass (2)
Reclassify1982198719921997
1Hort/Fruit3613563443463030
2Hort/Nut3103223003113030
3Hort/Vineyard3283253223313030
5+6Hort/Berry/other353741258.58.5
11Row/Corn1821638911214.58.5
14Row/Cotton6575395455496.658.5
17+18+19Row/otherVeg/truck3473602842548.58.5
12+13+20+21Row/others111811451298.58.5
6000Small Grains114212048978678.58.5
7000Hay77172710959608.58.5
7001Pasture5596024804408.58.5
8000Rangeland76467544731173942020
9000Forest58685872576556406970
9999Urban/H2O414543204589485200
0Federal land18619186281887318873
Land total41081.1779441081.1779441081.1779441081.17794
Cropland4244.291254114.827724062.945183883.13697
Grazingland102702.94485102702.94485102702.94485102702.94485
9707.842425
144.413148142.260144137.565624138.32646
123.935328128.662224120.147336124.259088
131.058048130.15152128.840292132.450216
14.19687614.973916.56032410.149876
72.79743665.3185835.50028444.84076
262.844556215.78604218.003796219.42834
138.990168144.040824113.769264101.482572
44.38749632.47312857.83972451.655908
456.712044481.414932358.952712346.811712
308.3814290.849796437.998716383.849856
223.442964240.780312191.90874176.157816
3058.479783017.7507722924.5564562957.434284
2347.2923762348.9759282306.1748562255.894928
1657.8454561727.8585561835.638261940.714568
7447.69417451.174527549.0147927549.014792
Reclass (2)
355.65036
321.65556
325.3788
37.43475
163.29645
539.4651
360.10206
81.18282
1203.53733
727.12449
601.95078
7544.37693
5872.43982
4319.64639
18627.9363
1987
351.52
317.92
321.6
37
161.4
533.2
355.92
80.24
1189.56
718.68
594.96
7456.76
5804.24
4269.48
18411.6
1987
Winrock International 2003
Carbon Density Estimates of Agricultural LandFruit / Nut Orchards 25 to 30 t C/haVineyards 10 to 12 t C/haBerries / Other Horticulture 10 t C/haCultivated Crops and Hay 5 t C/ha
Winrock International 2003
Carbon Stocks by Land UseMillions of tons of Carbon
Sheet1
-0.14 %
-1.28 %
-0.76 %
+0.50 %
-0.14 %
-1.28 %
-0.76 %
+0.50 %
Sheet2
198719921997
Horticulture/Fruit8.798.508.55
Horticulture/Nut7.957.427.68
Horticulture/Vineyard4.824.784.91
Horticulture/Berry/other0.370.410.25
Row/Corn0.810.440.55
Row/Cotton2.672.692.71
Row/otherVeg/truck1.781.411.25
Row/others0.400.710.64
Small Grains5.954.434.28
Hay3.595.414.74
Total on agricultural land37.1336.2035.57
Sheet3
MBD000B7D18.xls
Chart2
20802.421523
20155.721386.1
20259.320091.2
High Carbon
Low Carbon
Year
Carbon stock (x 1000 t C)
Sheet1
198719921997
COUNTYHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural Land
Alameda12.1467.7179.8512.1457.5169.6511.3366.0177.34
Alpine01.71.701.71.701.71.7
Amador20.247.9328.1724.285.6729.9527.525.6733.19
Butte722.79491.511214.3687.99484.991172.98721.98453.551175.53
Calaveras00.280.2800.280.2800.570.57
Colusa263.86779.611043.48220.16814.461034.62205.59812.191017.78
Contra Costa84.99183.86268.8473.66164.31237.9667.18149.01216.19
Del Norte17.81017.8117.81017.813.240.283.52
El Dorado21.85021.8521.851.9823.8434.81.9836.79
Fresno3330.682768.316098.993497.422775.686273.093487.72592.956080.66
Glenn321.33651972.33250.1689.81939.92498.59603.971102.56
Humboldt01.981.9801.981.9800.850.85
Imperial0758.93758.934.86720.69725.554.86664.32669.17
Inyo019.5519.55019.5519.55028.3328.33
Kern2219.372300.034519.412212.092128.924341.012202.382172.554374.93
Kings263.061466.591729.65112.511512.771625.28317.281432.031749.32
Lake199.1115.01214.13191.8315.01206.84185.3516.43201.78
Lassen0181.87181.870177.34177.340184.71184.71
Los Angeles143.26175.07318.34157.8398.87256.7118.1779.04197.21
Madera1310.42524.371834.791312.85581.591894.441217.34571.41788.73
Marin011.0511.05011.0511.05011.0511.05
Mendocino105.2216.15121.37105.2215.86121.0988.2219.26107.49
Merced946.191069.72015.89875.771160.362036.13975.331128.062103.39
Modoc0377.06377.0603513510281.87281.87
Mono026.6326.63026.6326.63033.1433.14
Monterey237.96707.94945.91197.49701.71899.2264.67604.26868.93
Napa359.3717.85377.22351.2817.85369.13369.920.4390.29
Orange117.364.53121.950.997.9358.9242.093.9746.05
Placer43.71109.92153.6238.8566.86105.714.8668.5673.41
Plumas02.272.2702.272.2702.272.27
Riverside993.94652.421646.36930.81584.711515.52661.28583.291244.57
Sacramento81.75526.35608.167.99524.94592.9379.32511.06590.38
San Benito106.84250.43357.2769.61233.71303.3280.13187.82267.95
San Bernardino078.7578.750161.76161.760104.25104.25
San Diego850.68139.1989.77667.76114.73782.49661.2880.45741.73
San Francisco12.14012.1411.33011.33000
San Joaquin1420.51030.332450.821331.461078.772410.231445.591000.32445.89
San Luis Obispo76.08920.98997.0664.75892.08956.83128.69557.51686.21
San Mateo24.2824.3648.6424.2824.3648.641719.2636.26
Santa Barbara194.26152.13346.38191.02156.38347.39220.97162.04383.01
Santa Clara97.1388.67185.883.3799.72183.0952.6190.37142.98
Santa Cruz72.8550.43123.2770.4252.41122.8357.4755.81113.28
Shasta68.8128.61197.4175.27167.71242.9876.08167.42243.51
Sierra013.8813.88013.8813.88014.7314.73
Siskiyou4.05317.85321.90319.27319.270320.4320.4
Solano156.21398.02554.24169.97395.47565.45139.22396.89536.11
Sonoma541.49246.75788.23523.68237.68761.36505.88234739.87
Stanislaus1303.13337.121640.251082.17398.591480.761146.11372.531518.64
Sutter590.86652.421243.28562.53667.151229.68562.53615.591178.12
Tehama356.95197.74554.68332.66190.94523.6246.87171.11417.97
Trinity000000000
Tulare2171.621251.583423.22586.841190.673777.512419.31247.613666.91
Tuolumne170171701717017
Ventura471.07224.37695.44453.26164.02617.29444.36117561.36
Yolo165.12979.91145.02152.98962.051115.03152.17958.941111.1
Yuba284.91122.38407.29269.53140.51410.04297.05112.47409.52
Sum of Counties20802.42152342325.420155.721386.141541.820259.320091.240350.5
High CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural Land
198720802.42152342325.420155.721386.141541.820259.320091.240350.5
199220155.721386.141541.8
199720259.320091.240350.5
198719921997
High Carbon20802.420155.720259.3
Low Carbon2152321386.120091.2
Agricultural Land42325.441541.840350.5
Table 9. Carbon stock in agricultural land by county in 1987, 1992, and 1997 (x1000 ha)
Sheet1
High Carbon
Low Carbon
Year
Carbon stock (x 1000 tC)
Sheet2
High Carbon
Low Carbon
Sheet3
MBD000B5D97.xls
Chart2
20802.421523
20155.721386.1
20259.320091.2
High Carbon
Low Carbon
Year
Carbon stock (x 1000 t C)
Sheet1
198719921997
COUNTYHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural Land
Alameda12.1467.7179.8512.1457.5169.6511.3366.0177.34
Alpine01.71.701.71.701.71.7
Amador20.247.9328.1724.285.6729.9527.525.6733.19
Butte722.79491.511214.3687.99484.991172.98721.98453.551175.53
Calaveras00.280.2800.280.2800.570.57
Colusa263.86779.611043.48220.16814.461034.62205.59812.191017.78
Contra Costa84.99183.86268.8473.66164.31237.9667.18149.01216.19
Del Norte17.81017.8117.81017.813.240.283.52
El Dorado21.85021.8521.851.9823.8434.81.9836.79
Fresno3330.682768.316098.993497.422775.686273.093487.72592.956080.66
Glenn321.33651972.33250.1689.81939.92498.59603.971102.56
Humboldt01.981.9801.981.9800.850.85
Imperial0758.93758.934.86720.69725.554.86664.32669.17
Inyo019.5519.55019.5519.55028.3328.33
Kern2219.372300.034519.412212.092128.924341.012202.382172.554374.93
Kings263.061466.591729.65112.511512.771625.28317.281432.031749.32
Lake199.1115.01214.13191.8315.01206.84185.3516.43201.78
Lassen0181.87181.870177.34177.340184.71184.71
Los Angeles143.26175.07318.34157.8398.87256.7118.1779.04197.21
Madera1310.42524.371834.791312.85581.591894.441217.34571.41788.73
Marin011.0511.05011.0511.05011.0511.05
Mendocino105.2216.15121.37105.2215.86121.0988.2219.26107.49
Merced946.191069.72015.89875.771160.362036.13975.331128.062103.39
Modoc0377.06377.0603513510281.87281.87
Mono026.6326.63026.6326.63033.1433.14
Monterey237.96707.94945.91197.49701.71899.2264.67604.26868.93
Napa359.3717.85377.22351.2817.85369.13369.920.4390.29
Orange117.364.53121.950.997.9358.9242.093.9746.05
Placer43.71109.92153.6238.8566.86105.714.8668.5673.41
Plumas02.272.2702.272.2702.272.27
Riverside993.94652.421646.36930.81584.711515.52661.28583.291244.57
Sacramento81.75526.35608.167.99524.94592.9379.32511.06590.38
San Benito106.84250.43357.2769.61233.71303.3280.13187.82267.95
San Bernardino078.7578.750161.76161.760104.25104.25
San Diego850.68139.1989.77667.76114.73782.49661.2880.45741.73
San Francisco12.14012.1411.33011.33000
San Joaquin1420.51030.332450.821331.461078.772410.231445.591000.32445.89
San Luis Obispo76.08920.98997.0664.75892.08956.83128.69557.51686.21
San Mateo24.2824.3648.6424.2824.3648.641719.2636.26
Santa Barbara194.26152.13346.38191.02156.38347.39220.97162.04383.01
Santa Clara97.1388.67185.883.3799.72183.0952.6190.37142.98
Santa Cruz72.8550.43123.2770.4252.41122.8357.4755.81113.28
Shasta68.8128.61197.4175.27167.71242.9876.08167.42243.51
Sierra013.8813.88013.8813.88014.7314.73
Siskiyou4.05317.85321.90319.27319.270320.4320.4
Solano156.21398.02554.24169.97395.47565.45139.22396.89536.11
Sonoma541.49246.75788.23523.68237.68761.36505.88234739.87
Stanislaus1303.13337.121640.251082.17398.591480.761146.11372.531518.64
Sutter590.86652.421243.28562.53667.151229.68562.53615.591178.12
Tehama356.95197.74554.68332.66190.94523.6246.87171.11417.97
Trinity000000000
Tulare2171.621251.583423.22586.841190.673777.512419.31247.613666.91
Tuolumne170171701717017
Ventura471.07224.37695.44453.26164.02617.29444.36117561.36
Yolo165.12979.91145.02152.98962.051115.03152.17958.941111.1
Yuba284.91122.38407.29269.53140.51410.04297.05112.47409.52
Sum of Counties20802.42152342325.420155.721386.141541.820259.320091.240350.5
High CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural LandHigh CarbonLow CarbonAgricultural Land
198720802.42152342325.420155.721386.141541.820259.320091.240350.5
199220155.721386.141541.8
199720259.320091.240350.5
198719921997
High Carbon20802.420155.720259.3
Low Carbon2152321386.120091.2
Agricultural Land42325.441541.840350.5
Table 9. Carbon stock in agricultural land by county in 1987, 1992, and 1997 (x1000 ha)
Sheet1
00
00
00
High Carbon
Low Carbon
Year
Carbon stock (x 1000 tC)
Sheet2
00
00
00
High Carbon
Low Carbon
Sheet3
Winrock International 2003
Change in Carbon Stocks 1987-1997High Carbon Density CroplandsLow Carbon Density Croplands
Pilot Projects
Winrock International 2003
Analysis of Pilot ProjectsDistribution of land by class in CA
Winrock International 2003
Example: Carbon Sequestration Options for RangelandsConvert to forestsConvert low carbon density to higher carbon density rangelands (e.g woodlands)Change management practicesSeveral management strategies are likely to increase soil CRe-seeding to deep-rooted perennial grassesDeveloping water supplies for livestockIntensive grazing management (water systems, additional fencing, etc)
Winrock International 2003
Convert Rangelands to ForestsDetermine which rangelands could support forestssuitability analysisLand-use suitability analysis based on I. Biophysical factor-dependent suitability for forest habitats II. STATSGO production map-based models to map suitability for forage and biomass productionAnalysis of rates of carbon accumulationEconomic analysis
Winrock International 2003
Reconcile Available Data
Chart2
55724167.43555063228.884105656310675.0489244864320.023150000018532285.214719752600179800008331948.207
19498300171110009477017.954
1849060016191000
1852210014385000
GAP (GIS)
USGS (GIS)
FRAP (GIS)
FRAP (TIAN)
Kuminoff, et al
LCMMP (GIS)
NRCS / NRI
USDA / NASS
FMMP (GIS)
YEAR
ACRES
Rangeland
source-comparisons
YEARownerAgencyPastures and RangelandCroplandOther landForest / Woodland (may include Woodland Pastures)CRP landTotal Ag landTotal Rural LandActual Total Rural Land
1977allFRAP (GIS)(Urban - Agriculture)19,434,48219,434,482
1982privUSDA / NASS17,980,00011,257,0001,437,0001,483,000---------------------32,157,000----------32,157,000
privNRCS / NRI19,752,60010,520,3004,378,90015,132,2000----------49,784,00049,784,000
1984allFRAP (TIAN)38,949,000
1987privUSDA / NASS17,111,00010,895,0001,241,0001,351,000---------------------30,598,000----------30,598,000
privNRCS / NRI19,498,30010,223,5004,403,20015,008,700117,200----------49,250,90049,250,900
1990allGAP (GIS)55,724,167
1992privUSDA / NASS16,191,00010,479,0001,158,0001,150,000---------------------28,979,000----------28,978,000
privNRCS / NRI18,490,60010,051,6004,569,80014,680,400180,700----------47,973,10047,973,100
allUSGS (GIS)55,063,229027,930,42782,993,656
privFMMP (GIS)8,331,9488,066,6886,969,282
1994allFRAP (TIAN)39,675,000
1995allFRAP (GIS)56,310,67511,422,19331,248,235
1997privUSDA / NASS14,385,00010,804,0001,394,0001,116,000---------------------27,699,000----------27,699,000
privNRCS / NRI18,522,1009,560,5004,687,40014,295,400173,000----------47,238,40047,238,400
allFRAP (TIAN)44,864,32010,023,2514,981,71139,559,535
allUSFS / FIA38,547,000
privKuminoff, et al15,000,00011,700,00026,700,000Total adjusted by Kuminoff, et al (2000) - removed grazing lands considering FMMP data
allKuminoff, et al31,500,000
govKuminoff, et al16,500,000
2000privFMMP (GIS)9,477,0188,962,0558,156,816--------------------
1992 Landuse areas (USGS)2002 Multisource landuse areas (FRAP)
ClassAcresClassAcres
Open Water4,966,691Agriculture11,422,193
Perennial Ice/Snow9,775Barren/Other2,284,204
Low Intensity Residential1,849,751Conifer21,372,087
High Intensity Residential258,830Desert23,549,483
Commercial/Industrial/Transportation748,422Hardwood9,876,149
Bare Rock/Sand/Clay6,047,217Herbaceous10,920,720
Quarries/Strip Mines/Gravel Pits24,745Shrub14,575,870
Transitional80,624Urban4,911,437
Deciduous Forest1,887,581Water1,487,048
Evergreen Forest22,719,330Wetland539,864
Mixed Forest3,323,516proportions
Shrubland35,640,443croplandwoodlandrangelandotherCRP landtotal
Orchards/Vineyards/Other2,656,3261992USDA0.360.040.560.041.00
Grasslands/Herbaceous15,074,706NRI0.210.310.390.100.0041.00
Pasture/Hay4,011,615USGS / NLCD (GIS)0.000.340.661.00
Row Crops3,220,695
Small Grains1,965,604
Fallow26,338
Urban/Recreational Grasses160,173FMMP*Acres*figures derived from mosaicks of equal coverage area of GIS coverages from 1992 and 2000 (+/- 1 year)
Woody Wetlands48,926Class1992200019922000
Emergent Herbaceous Wetlands336,464developed (FMMP-maps)1,937,2602,478,403
Total land area110,024,463Grazing land8,331,9489,477,018
Agriculture8,066,6888,962,05516,398,63618,439,073
Other land6,969,2828,156,816
Water621,502643,073
source-comparisons
000056310675.048920055724167.435
000
00
00
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP (TIAN)
GAP (GIS)
YEAR
ACRES
Rangeland Baselines
LCMMP-acres
00000000
000
00
00
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP-CALVEG77 (GIS)
FRAP (TIAN)
YEAR
ACRES
Agriculture Baselines
UC-davis-range-definition
000000
000
000
00
USDA / NASS
NRCS / NRI
USGS (GIS)
FRAP (GIS)
USFS / FIA
FRAP (TIAN)
YEAR
ACRES
Woodland / Forest Baselines
TIAN
CovertypeSum_Acres
AGR2,053,570.7
BAR1,221,462.9
CON16,166,544.7
HDW6,739,087.6
HEB5,201,864.8
MIX4,234,684.01996
NYM264,912,576.0LCMMP (GIS)
SHB13,330,420.418,532,285.2
URB2,128,153.3
WAT888,436.8
MAPPED51,964,225.2
ALL316,876,801.2
Proportion0.16
Rangelands (UC-Davis criteria)23,364,315.50.45
Total Land Area100,962,880
Rangeland62,960,1290.62
Fveg2002 - shapefile56,093,307.3~1994
Fveg2002 - grid56,310,675.0~1995
GAP - vector55,724,167.4~1990
GAP - documentation55,928,900.5~1990
TIAN
0
0
0
0
0
0
0
0
Sum_Acres
COVERTYPE
ACRES
COVER TYPE ACREAGE(16% of CA area mapped)
GAP-areas
Wildlife Habitat Relationships DatabaseWHRRANGELANDS - from GAP documentation
Vegetation TypeCodeCaliforniaWhr_habitaKm2Whr1Acres
Total Land Area100,962,880
Rangeland62,960,129
Alpine-Dwarf ShrubADS180,500Alpine-Dw755ADS186,568
Annual GrasslandAGS7,139,035Annual Gr28921AGS7,146,668
Alkali Desert ScrubASC3,681,661Alkali De16885ASC4,172,452
BitterbrushBBR40,831Bitterbru218BBR53,870
Blue Oak-Foothill PineBOP3,673,785Blue Oak-14400BOP3,558,384
Blue Oak WoodlandBOW2,823,006Blue Oak10579BOW2,614,177
Coast Oak WoodlandCOW921,156Coastal O4419COW1,091,979
Chamise-Redshank ChaparralCRC10,173,948Chamise-R10498CRC2,594,161
Coastal ScrubCSC1,657,433Coastal S7598CSC1,877,542
Desert RiparianDRI47,838Desert Ri363DRI89,701
Desert ScrubDSC18,619,229Desert Sc70343DSC17,382,459
Desert Succulent ShrubDSS807,485Desert Su4459DSS1,101,863
Desert WashDSW858,480Desert Wa3017DSW745,531
Joshua TreeJST58,296Joshua Tr379JST93,655
JuniperJUN2,180,612Juniper8210JUN2,028,773
Low SageLSG620,118Low Sage2778LSG686,472
Mixed ChaparralMCH3,189,451Mixed Cha14300MCH3,533,673
Montane ChaparralMCP577,069Montane C3104MCP767,029
Montane RiparianMRI1,619,876Perennial477PGS117,871
Perennial GrasslandPGS88,642Pinyon-Ju6359PJN1,571,372
Pinyon-JuniperPJN1,635,490Sagebrush13668SGB3,377,499
Palm OasisPOS3,029Valley Oa3130VOW773,454
SagebrushSGB3,062,991Valley-Fo800VRI197,688
Valley Oak WoodlandVOW633,182Wet Meado672WTM166,058
Valley-Foothill RiparianVRI163,01755,928,901
Wet MeadowWTM126,871
Total (?)64,583,031
Alpine-Dwarf Shrub
Annual Grassland
Alkali Desert Scrub
Bitterbrush
Blue Oak-Foothill Pine
Blue Oak Woodland
Coast Oak Woodland
Chamise-Redshank Chaparral
Coastal Scrub
Desert Riparian
Desert Scrub
Desert Succulent Shrub
Desert Wash
Joshua Tree
Juniper
Low Sage
Mixed Chaparral
Montane Chaparral
Perennial Grassland
Pinyon-Juniper
Sagebrush
Valley Oak Woodland
Valley-Foothill Riparian
Wet Meadow
UC-Davis-range-doc
TIANtotal (1998)TIAN1953197519841994TIAN
Forest land39,559,535Timberland17,317,00016,299,00016,264,00016,651,000National Forests17,872,000
Crop land10,023,251Reserved, withdrawn, or deferred timberland1,202,0001,645,0002,072,0003,175,000Other public5,045,000
Other4,981,711Other forest land24,022,00022,216,00020,613,00019,849,000Forest industry4,477,00021,802,000
Pasture/Rangeland44,864,320Total forest land42,541,00040,160,00038,949,00039,675,000Other private12,280,000
99,428,81839,674,000
Timberlands
1953197519841994
National Forest8,573,0008,168,0008,286,0008,783,000
Other public691,000499,000517,000570,000
Private8,053,0007,632,0007,460,0007,297,000
17,317,00016,299,00016,263,00016,650,000
from:http://frap.cdf.ca.gov/projects/forest_extent/forest_extent.pdf
http://frap.cdf.ca.gov/projects/forest_extent/forest_extent.pdf
Sheet2
FederalStatePrivateMisc.TotalRANGELANDS
WHR CodeWHR Habitat Name (Mayer and Laudenslayer 1988)km2%km2%km2%km2%km2Whr_habitaKm2Whr1Acres
SCNSubalpine Conifer3,71395.490.21694.4003,891Alpine-Dw755ADS186568.05247.11
RFRRed Fir5,09488130.268011.7005,787Annual Gr28921AGS7146668.31
LPNLodgepole Pine2,00895.850.3823.9002,097Alkali De16885ASC4172452.35
SMCSierran Mixed Conifer1,64164.5820.931734.630.114,606Bitterbru218BBR53869.98
WFRWhite Fir1,94666.3120.497333.230.12,935Blue Oak-14400BOP3558384.00
KMCKlamath Mixed Conifer3,73372.7160.31,35826.4300.65,137Blue Oak10579BOW2614176.69
DFRDouglas-Fir2,32254.8270.61,86143.9280.74,239Coastal O4419COW1091979.09
JPNJeffrey Pine6,33379.4720.91,53619.3370.57,980Chamise-R10498CRC2594160.78
PPNPonderosa Pine9,87159.71170.76,43439.3520.316,385Coastal S7598CSC1877541.78
EPNEastside Pine3,25269.360.11,42330.480.24,690Desert Ri363DRI89700.93
RDWRedwood3505.465610.15,39582.81161.86,517Desert Sc70343DSC17382458.73
PJNPinyon-Juniper5,53387126268910.8100.26,359Desert Su4459DSS1101863.49
JUNJuniper5,086621321.62,96836.2220.38,210Desert Wa3017DSW745530.87
ASPAspen2249010.3249.510.2249Joshua Tr379JST93654.69
CPCClosed-Cone Pine-Cypress75060.8383.143435.21211,233Juniper8210JUN2028773.10
MHCMontane Hardwood-Conifer4,36542.21331.35,55853.72922.810,349Low Sage2778LSG686471.58
MHWMontane Hardwood4,43039.81791.66,28056.52282.111,118Mixed Cha14300MCH3533673.00
BOWBlue Oak Woodland1,25011.81541.58,91184.22622.510,579Montane C3104MCP767029.44
VOWValley Oak Woodland1835.8451.42,83690.6662.13,130Perennial477PGS117871.47
COWCoastal Oak Woodland49011.11042.43,58281.12435.54,419Pinyon-Ju6359PJN1571372.49
BOPBlue Oak-Foothill Pine2,69918.73322.311,22578141114,400Sagebrush13668SGB3377499.48
MRIMontane Riparian21841.6101.925648.8417.7524Valley Oa3130VOW773454.30
VRIValley-Foothill Riparian10012.5718.959975293.6800Valley-Fo800VRI197688.00
DRIDesert Riparian24968.4174.77721.3205.6363Wet Meado672WTM166057.92
POSPalm Oasis687.1112.200.700755928900.52
JSTJoshua Tree15340.561.520153.1195379
ADSAlpine-Dwarf Shrub75199.50040.500755
LSGLow Sage2,05874.1351.366123.8230.82,778
BBRBitterbrush16475.510.64922.431.5218
SGBSagebrush10,17474.42471.83,02922.22031.513,668
MCPMontane Chaparral2,19070.6200.788828.650.23,104
MCHMixed Chaparral8,30658.13712.65,25536.83672.614,300
CRCChamise-Redshank Chaparral4,89646.62552.44,96347.33833.610,498
CSCCoastal Scrub1,72822.72032.75,44271.62242.97,598
DSSDesert Succulent Shrub2,65259.51,07224.165414.7801.84,459
DSWDesert Wash2,32577.1632.159719.8321.13,017
DSCDesert Scrub54,60377.62,805412,674182600.470,343
ASCAlkali Desert Scrub11,57068.52901.74,09624.39275.516,885
AGSAnnual Grassland3,02710.54041.425,00786.54821.728,921
PGSPerennial Grassland14430.2234.930664.240.7477
WTMWet Meadow34150.7284.228241.9223.2672
FEWFreshwater Emergent Wetland39930.313510.374956.9342.61,317
SEWSaline Emergent Wetland2014.32820.98763.910.9136
ESTEstuarine94.33616.53717.313461.9216
BARBarren7,10285.91061.37719.32903.58,269
Wildlife Habitats and Management StatusWildlife Habitats and Management Status
Sheet3
http://agronomy.ucdavis.edu/calrng/Vegmaps/rangeacres.html
Rangeland AcreageUsing acreage data from the Gap Analysis Project CD-ROM and the habitat classes from the California Wildlife Habitat Relationships Database (CWHR) we developed these tables of rangeland acreage for California's 58 counties. The Gap Analysis Project used remotely sensed data to classify the habitat types. Because this method is different from the estimation methods used in the past these numbers may differ from those reported from other sources. To determine county rangeland acreage the rangeland habitat types in the CWHR for each county were combined. Twenty-six of the CWHR habitat types were classified as rangelands based on the Society for Range Management's definition of rangelands that includes natural grasslands, savannas, shrublands, most deserts, tundra, alpine communities, and wet meadows. We included pinon-juniper and juniper habitat types but not other forest habitat types that may be grazed.
This classification results in a total rangeland acreage of 62.9 million acres for California. The figure of 40 million acres of rangeland is often used, however that is not correct. California has about 40 million acres of grazed land. In 1988 the California Department of Forestry and Fire Protection reported that about 41 million acres of California land was grazed and 17.9 million of those acres were privately owned and provided more than 90 percent of the state's grazed forage (CDFF 1988).
There are some inaccuracies in the mapping of habitat types. Satalite imagary is not very accurate for distinguishing some habitat types and ground truthing is not possible for a project of this scale. However, used at the county to regional level these maps can provide a better assessment of rangeland acreage than any method that has been used in the past.
The California Gap Analysis Project (CA-GAP) was initiated in 1990 as a cooperative effort between the U.S. Fish and Wildlife Service and researchers at the University of California, Santa Barbara. Dozens of public and private organizations also provided invaluable support. The objectives of the project were to 1) develop new geographic information system (GIS) databases of land-cover, wildlife habitats, predicted distributions of native wildlife species, and land stewardship and management; 2) identify land-cover types and wildlife species that are inadequately represented in existing biodiversity management areas (i.e., the "gaps"); and 3) make all CA-GAP information available to users to encourage and facilitate its use so that resource managers may be more effective stewards of California's biological heritage.
Reference
CDFF. 1988. California's Forests and Rangelands: Growing Conflict Over Changing Uses. Forest and Rangeland Resources Assessment Program (FRRAP), Calif. Dept. of Forestry and Fire Protection. Pg 99.
Rangeland Habitat Types
Intermountain/High Elevation
Pinyon-Juniper Juniper Alpine-Dwarf Shrub Low Sage Bitterbrush Sagebrush Wet Meadow Montane Riparian
Mediterranean Type
Annual Grassland Blue Oak Woodland Valley Oak Woodland Coastal Oak Woodland Blue Oak-Foothill Pine Valley-Foothill Riparian Montane Chaparral Mixed Chaparral Chamise-Redshank Chaparral Coastal Scrub Perennial Grassland
Desert
Desert Riparian Palm Oasis Joshua Tree Desert Succulent Shrub Desert Wash Desert Scrub Alkali Desert Scrub
http://agronomy.ucdavis.edu/calrng/Vegmaps/rangeacres.html
Rangelands
SourceData usedlands included
USDA/NASSmailed census from farmersprivate and BLM leased lands- agricultural counties predominate
NRCS/NRIsample pointsprivate lands only -mostly rural
USGS (GIS)National Land Cover Data (NLCD) aggregation of herbaceous and shrub classesall California lands
Kuminoff, et alaggregation of USDA/NASS, FMMP, FS and BLM dataall California lands (allegedly)
FRAP (GIS)CDF-FRAP multisource veg map reclassified using Melvin George's criteria for rangelandsall California
FMMP (GIS)FMMP maps of California agricultural areaslimited coverage of California's prime agricultural counties
FRAP (TIAN)statistics taken from Tian-Ting Shih's "Land Base of CA's forests" (1998)all California (allegedly)
LCMMP (GIS)acreage taken from LCMMP vegetation mapsfor 5 LCMMP study areas
GAP (GIS)UCal, SB's GAP analysis veg map reclassified using Melvin George's criteria for rangelandsall California
179800001975260055063228.88410563150000056310675.048928331948.20744864320.0255724167.43518532285.2147
17111000194983009477017.954
1619100018490600
1438500018522100
USDA / NASS
NRCS / NRI
USGS (GIS)
Kuminoff, et al
FRAP (GIS)
FMMP (GIS)
FRAP (TIAN)
GAP (GIS)
LCMMP (GIS)
YEAR
ACRES
Rangeland Baselines
Sheet1
REGION
North CoastSouth CoastNorth CascadeNorth SierraSouth SierraCentral Valley*
MAPSYear 1---------------------------------------delivery pending---------------------------------------X
Year 2XXdelivery pendingXXX
Year 3-----creation pending-----X-----creation pending-----X
Change from year 1 to 2XXXXXn/a
Change from year 2 to 3-----creation pending-----X-----creation pending-----n/a
Cause of change from year 1 to 2XXXXXn/a
Cause of change from year 2 to 3---------------------------------------creation pending--------------------------------------n/a
*For county-level agricultural analysis using USDA-NASS census data
Sheet2
SourceData usedlands included
GAP (GIS)Ucal-SB's GAP analysis veg map reclassified using Melvin George's criteria for rangelandsall California
USGS (GIS)National Land Cover Data (NLCD) aggregation of herbaceous and shrub classesall California lands
FRAP (GIS)CDF-FRAP multisource veg map reclassified using Melvin George's criteria for rangelandsall California
FRAP (TIAN)statistics taken from Tian-Ting Shih's "Land Base of CA's forests" (1998)all California
Kuminoff, et al (AIC)aggregation of USDA/NASS, FMMP, FS and BLM dataall California lands
LCMMP (GIS)LCMMP vegetation maps aggregation of herbaceous and shrub classesfor 5 LCMMP study areas
NRCS/NRIsample pointsprivate lands only -mostly rural
USDA/NASSmailed census from farmersprivate and BLM leased lands- agricultural counties predominate
FMMP (GIS)FMMP maps of California agricultural areaslimited coverage of California's prime agricultural counties
Sheet3
Winrock International 2003
Map of Rangelands and Forests
Winrock International 2003
Prepare Factor MapsInputs toGEOMODSlope
Winrock International 2003
Create Suitability Map for Forests
Winrock International 2003
LeastMost
Chart1
09887
18818195
26961527
20121691
151782907
114973539
1944194876
1641232019
3731600919
3398380596
5191854083
3203523779
70261272188
5134860883
100291336261
7731706520
167671091837
13179694016
281201186934
21801681781
442241166181
34498719153
735941214100
54267725336
1062271050823
76222592229
138467888648
94549496700
166379685122
110957386022
200743585257
132381291850
235623369795
151458190601
286145288354
180583148617
318103231905
197101125630
356382179827
247283103517
469587159605
30256180757
576361134252
37713077920
682139112371
41236660096
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39672650200
56745176715
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50718069967
22171333965
31523949968
14458921571
15869926526
6599612655
6723610749
280264602
267745352
7157489
11046231
5570117
4513260
868125
975210
223104
112108
68
FOREST
RANGE
SUITABILITY SCORE
NUMBER OF CELLS (HECTARES)
SUITABILITY MAP CELLS IN LAND-COVER CLASSES
suit-map1 (potential)
FORESTRANGE
ClassFrequencyProp.Cum. Freq.Cum. Prop.ClassFrequencyProp.Cum. Freq.Cum. Prop.
223002300278471310.081478471310.0814
3177702007037900550.008286371860.0896
489640.0001109710.000148218650.008594590510.0981
5192440.0002302150.0003510443660.0108105034170.109
6170980.0002473130.000569417980.0098114452150.1187
7109910.0001583040.000677539000.0078121991150.1266
8220390.0002803430.0008810073070.0105132064220.137
9182360.0002985790.00195240880.0054137305100.1424
10318240.00031304030.0014109433760.0098146738860.1522
11180490.00021484520.0015113998020.0041150736880.1564
12351490.00041836010.0019125292350.0055156029230.1619
13171280.00022007290.0021132192140.0023158221370.1641
14211850.00022219140.0023143501240.0036161722610.1678
15152950.00022372090.0025152343090.0024164065700.1702
16353990.00042726080.0028168297890.0086172363600.1788
17221730.00022947810.0031171637470.0017174001080.1805
18819650.00093767460.0039188364740.0087182365820.1892
19341360.00044108820.0043192561210.0027184927040.1919
20225470.00024334290.0045201696380.0018186623420.1936
21194850.00024529140.004721994820.001187618240.1946
22593040.00065122180.0053221728910.0018189347160.1964
23230400.00025352580.0056231238780.0013190585940.1977
24338330.00045690910.0059241325230.0014191911160.1991
25384480.00046075390.0063251063750.0011192974920.2002
26780080.00086855470.0071262328940.0024195303860.2026
27260350.00037115820.007427960350.001196264200.2036
28241160.00037356980.007628861560.0009197125760.2045
29356530.00047713510.008291005160.001198130920.2056
30226720.00027940230.008230871150.0009199002080.2065
31439480.00058379710.0087311281150.0013200283240.2078
32431950.00048811660.009132793050.0008201076280.2086
33241480.00039053140.009433406710.0004201483000.209
34476210.00059529350.009934831230.0009202314240.2099
35125310.00019654660.0135287750.0003202602000.2102
36396860.000410051520.010436717580.0007203319580.2109
37439280.000510490800.0109371109210.0012204428800.2121
38643150.000711133950.011638893700.0009205322500.213
39394490.000411528440.01239571080.0006205893580.2136
40521030.000512049470.012540447440.0005206341020.2141
41617710.000612667180.013141370710.0004206711720.2145
42797080.000813464260.01442684970.0007207396680.2152
43669750.000714134010.014743486550.0005207883240.2157
44936640.00115070650.015644592340.0006208475580.2163
45722220.000715792870.016445701360.0007209176940.217
461075460.001116868330.017546737440.0008209914380.2178
47489730.000517358060.01847308220.0003210222600.2181
48989240.00118347300.01948814900.0008211037500.2189
491478180.001519825480.020649557280.0006211594780.2195
501063020.001120888500.021750455660.0005212050440.22
51882580.000921771080.022651348410.0004212398840.2204
521151840.001222922920.023852534100.0006212932940.2209
53822210.000923745130.024653438710.0005213371640.2214
541918730.00225663860.026654666120.0007214037760.2221
55767290.000826431150.027455321450.0003214359200.2224
561340080.001427771230.028856437150.0005214796360.2228
571074630.001128845860.029957421530.0004215217880.2233
581503850.001630349710.031558465230.0005215683120.2238
592750890.002933100600.034359595150.0006216278280.2244
601914200.00235014800.036360502510.0005216780800.2249
611440580.001536455380.037861338950.0004217119760.2253
621924240.00238379620.039862422980.0004217542740.2257
632490220.002640869840.042463587390.0006218130120.2263
642235840.002343105680.044764512620.0005218642740.2268
652410910.002545516590.047265404700.0004219047440.2273
661700010.001847216600.04966310040.0003219357480.2276
671261740.001348478340.050367288980.0003219646460.2279
681986030.002150464370.052468297140.0003219943600.2282
692242780.002352707150.054769369340.0004220312940.2286
702750430.002955457580.057570454870.0005220767800.229
711865160.001957322740.059571262160.0003221029960.2293
723642320.003860965060.063272411410.0004221441360.2297
732354620.002463319680.065773323790.0003221765160.2301
742567970.002765887650.068474252080.0003222017240.2303
753548370.003769436020.07275358760.0004222376000.2307
764234410.004473670430.076476487210.0005222863200.2312
771562750.001675233180.078177149960.0002223013160.2314
789624830.0184858010.08878681480.0007223694640.2321
792171620.002387029630.090379208940.0002223903580.2323
801312440.001488342070.09178084660.0001223988240.2324
812247670.002390589740.09481184100.0002224172340.2326
822674860.002893264600.096882167170.0002224339520.2327
83512460.000593777060.09738327090224366600.2328
843750093814560.0973842500224369100.2328
85318020.000394132580.09778516010224385120.2328
862946120.003197078700.100786111470.0001224496600.2329
Values > max. specified866825700.8993963904401Values > max. specified739407870.7671963904481
Classwidth =1Classwidth =1
Display minimum =0Display minimum =0
Display maximum =86Display maximum =86
Actual minimum =0Actual minimum =0
Actual maximum =86Actual maximum =86
Mean=62.4403(based on 9707870 values within range (out of 96390440))Mean=12.6895(based on 22449653 values within range (out of 96390440))
Stand. Deviation =18.0997Stand. Deviation =16.2822
df=9707869df=22449652
suit-map1 (potential)
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FOREST
RANGE
SUITABILITY SCORE
NUMBER OF CELLS (HECTARES)
SUITABILITY MAP CELLS IN LAND-COVER CLASSES(SUIT. MAP 1)
suit-map2 (biophys)
FORESTRANGE
ClassFrequencyProp.Cum. Freq.Cum. Prop.ClassFrequencyProp.Cum. Freq.Cum. Prop.
110601060
2142014202271750.0003272810.0003
3235037703142700.0001415510.0004
47090108604612730.00061028240.0011
56310171705321350.00031349590.0014
6170203419061040380.00112389970.0025
7115304572071038370.00113428340.0036
82508070800.000183450530.00366878870.0071
92622097020.000191788120.00198666990.009
1057640.0001154660.0002105943050.006214610040.0152
1149610.0001204270.0002115253910.005519863950.0206
1287730.0001292000.00031210231720.010630095670.0312
1377260.0001369260.0004137234090.007537329760.0387
14165280.0002534540.00061415324610.015952654370.0546
15132970.0001667510.00071510228500.010662882870.0652
16323080.0003990590.0011615988830.016678871700.0818
17256850.00031247440.0013178513400.008887385100.0907
18545270.00061792710.00191813031640.0135100416740.1042
19392780.00042185490.0023197676320.008108093060.1121
20767360.00082952850.00312012618150.0131120711210.1252
21528240.00053481090.0036217222920.0075127934130.1327
221090560.00114571650.00472212430150.0129140364280.1456
23799730.00085371380.0056237660010.0079148024290.1536
241523170.00166894550.00722412572500.013160596790.1666
251026020.00117920570.0082256778770.007167375560.1736
261859770.00199780340.0101269338500.0097176714060.1833
271202560.001210982900.0114274726100.0049181440160.1882
282183490.002313166390.0137286778770.007188218920.1953
291359460.001414525850.0151293418690.0035191637600.1988
302288360.002416814210.0174304995240.0052196632840.204
311409150.001518223360.0189312540680.0026199173520.2066
322554380.002720777740.0216323746470.0039202920000.2105
331652540.001722430280.0233331742780.0018204662780.2123
342857500.00325287780.0262342418700.0025207081480.2148
351898360.00227186140.0282351322580.0014208404060.2162
363581180.003730767320.0319362077860.0022210481920.2184
372399840.002533167160.0344371195260.0012211677180.2196
384358000.004537525160.0389381703540.0018213380720.2214
392716460.002840241620.041739872420.0009214253140.2223
404996510.005245238130.0469401424620.0015215677760.2238
413362170.003548600300.050441897940.0009216575700.2247
426399060.006654999360.0571421547220.0016218122920.2263
434176120.004359175480.061443925120.001219048040.2273
447149880.007466325360.0688441446440.0015220494480.2288
454319330.004570644690.073345740440.0008221234920.2295
466695940.006977340630.080246974100.001222209020.2305
473644230.003880984860.08447485370.0005222694400.231
485398170.005686383030.089648716230.0007223410640.2318
492351350.002488734380.092149288330.0003223698960.2321
503559990.003792294370.095850414950.0004224113920.2325
511854420.001994148790.097751197670.0002224311600.2327
521717690.001895866480.099552133020.0001224444620.2328
53530720.000696397200.15325360224469980.2329
54205100.000296602300.1002548880224478860.2329
553452096636820.1003551950224480800.2329
5670590.000196707410.1003562690224483480.2329
5750390.000196757800.1004571410224484880.2329
5897980.000196855780.1005583540224488420.2329
5971290.000196927070.1006593100224491520.2329
60101190.000197028260.1007604310224495840.2329
613287097061130.100761530224496360.2329
621757097078700.100762160224496520.2329
Values > max. specified866825700.8993963904401Values > max. specified739407870.7671963904401
1164034728,751,6574712691.09311741
55450642.910.5185089943
Classwidth =1Classwidth =1
Display minimum =0Display minimum =0
Display maximum =62Display maximum =62
Actual minimum =0Actual minimum =0
Actual maximum =62Actual maximum =62
Mean=39.4153(based on 9707870 values within range (out of 96390440))Mean=21.0874(based on 22449653 values within range (out of 96390440))
Stand. Deviation =8.6088Stand. Deviation =8.5539
df=9707869df=22449652
suit-map2 (biophys)
FOREST
RANGE
SUITABILITY SCORE
NUMBER OF CELLS (HECTARES)
SUITABILITY MAP CELLS IN LAND-COVER CLASSES(SUIT. MAP 2)
suit-map (range)
RANGEFOREST
ClassFrequencyProp.Cum. Freq.Cum. Prop.ClassFrequencyProp.Cum. Freq.Cum. Prop.
1101010
216017023030
3281029803680710
4141930.0001144910.000243499035700
5651390.0007796300.00085201610.0002237310.0002
63171720.00333968020.004161236120.00131473430.0015
73785130.00397753150.00871521690.00162995120.0031
811175180.011618928330.019684572850.00477567970.0079
910230250.010629158580.030395171000.005412738970.0132
1017993240.018747151820.04891010016750.010422755720.0236
119681770.0156833590.059116039180.006328794900.0299
1220083580.020876917170.07981212561520.01341356420.0429
1310276780.010787193950.0905138201410.008549557830.0514
1417240550.0179104434500.10831413478220.01463036050.0654
1512354980.0128116789480.1212156472570.006769508620.0721
1618311100.019135100580.1402168267240.008677775860.0807
1710958760.0114146059340.1515173609120.003781384980.0844
1819598940.0203165658280.1719185207090.005486592070.0898
1913438440.0139179096720.1858192926830.00389518900.0929
2015782920.0164194879640.2022203374580.003592893480.0964
216910900.0072201790540.2093211268150.001394161630.0977
228227900.0085210018440.2179221381860.001495543490.0991
235104490.0053215122920.223223756600.000896300090.0999
245445230.0056220568160.228824591300.000696891390.1005
251249630.0013221817800.230125100290.000196991680.1006
261496480.0016223314280.2317264760097039280.1007
27419340.0004223733620.2321271479097054070.1007
28459570.0005224193200.2326281176097065830.1007
29192100.0002224385300.232829722097073050.1007
30111240.0001224496540.232930565097078700.1007
3100224496540.2329310
3200224496540.2329320
3310224496560.2329330
739407870.7671963904401866825700.8993963904401
suit-map (range)
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RANGE
FOREST
SUITABILITY SCORE
NUMBER OF CELLS (HECTARES)
RANGE SUITABILITY MAP CELLSIN LAND-COVER CLASSES
forest-suit-greatest
Histogram of 'diff---forests' using 'diff---forests-bool' as maskClass width1
ClassFrequencyProp.Cum. Freq.Cum. Prop.Display minimum0
0357692190.3711357692200.3711Display maximum89
12999120.0031360691320.3742741,109.5Actual minimum0
21155560.0012361846880.3754285,549.3Actual maximum89
33159380.0033365006240.3787780,711.2Mean1.78(based on 40297975 values within range (out of 96390440))
42843570.003367849800.3816702,671.7Stand. Deviation6.727
5856540.0009368706320.3825211,658.7df40297974
62533700.0026371240000.3851626,100.1
72181420.0023373421440.3874539,048.5
8857500.0009374278960.3883211,896.0
92083220.0022376362160.3905514,782.4
102104390.0022378466560.3926520,013.7
11919300.001379385840.3936227,167.3
121782420.0018381168240.3954440,452.0
131402680.0015382570920.3969346,614.9
14890640.0009383461560.3978220,085.2
151284620.0013384746160.3992317,441.2
161476570.0015386222720.4007364,873.7
17831570.0009387054280.4015205,488.4
18969240.001388023520.4026239,507.9
191314460.0014389338000.4039324,814.9
20709670.0007390047680.4047175,365.8
21890780.0009390938480.4056220,119.8
221003970.001391942440.4066248,090.0
23521370.0005392463800.4072128,835.2
24664430.0007393128240.4078164,186.6
25869830.0009393998080.4088214,942.8
26358660.0004394356720.409188,628.1
27520610.0005394877320.4097128,647.4
28742440.0008395619760.4104183,463.6
29273870.0003395893640.410767,675.7
30468870.0005396362520.4112115,862.0
31610360.0006396972880.4118150,825.4
32129030.0001397101920.41231,884.5
33408190.0004397510120.4124100,867.4
34524470.0005398034600.4129129,601.3
3565730.0001398100320.41316,242.5
36380980.0004398481280.413494,143.6
37500440.0005398981720.4139123,663.2
3832200399013920.4147,956.9
39301630.0003399315560.414374,535.5
40501980.0005399817520.4148124,043.8
4118560399836080.41484,586.3
42296820.0003400132880.415173,346.9
43455420.0005400588320.4156112,538.4
4424770400613080.41566,120.9
45247730.0003400860800.415961,216.3
46399660.0004401260480.416398,759.6
4731340401291840.41637,744.4
48215980.0002401507840.416553,370.6
49301830.0003401809680.416974,584.9
5031820401841520.41697,863.0
51169810.0002402011320.417141,961.6
52215360.0002402226680.417353,217.4
5346190402272880.417311,414.0
5476780.0001402349680.417418,973.0
55128640.0001402478320.417631,788.1
5688720.0001402567040.417621,923.5
5727520402594560.41776,800.4
5890820.0001402685360.417822,442.4
5985020.0001402770400.417921,009.2
6014780402785200.41793,652.3
6155410.0001402840600.417913,692.3
6258420.0001402899040.41814,436.1
636360402905400.4181,571.6
6428160402933560.4186,958.6
6515510402949080.4183,832.7
66940402950000.418232.3
677040402957040.4181,739.6
687620402964640.41811,883.0
69480402965120.4181118.6
703330402968440.4181822.9
712840402971280.4181701.8
72450402971720.4181111.2
731370402973080.4181338.5
74960402974040.4181237.2
75390402974440.418196.4
76870402975320.4181215.0
771090402976400.4181269.3
7800402976400.41810.0
79610402977000.4181150.7
801440402978440.4181355.8
8120402978480.41814.9
82430402978920.4181106.3
83560402979480.4181138.4
8420402979520.41814.9
8560402979600.418114.8
86130402979720.418132.1
8730402979760.41817.4
8820402979760.41814.9
8920402979760.41814.9
forest-suit-greatest
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DIFFERENCE IN SUITABILITY LEVEL
CELLS (HECTARES)MORE SUITABLE FOR FOREST
DIFFERENCE IN SUITABILITY LEVEL(FOREST - 1000 lbs/acre/year RANGELANDS)
new-histos-forestsuit
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DIFFERENCE IN SUITABILITY LEVEL
ACRES OF RANGELAND MORE SUITABLE FOR FOREST
DIFFERENCE IN SUITABILITY LEVEL(FOREST - 1000 lbs/acre/year RANGELANDS)
new-histos-rangesuit
Histogram of crossrange-vs-woods_r2-suitable-for-forest0
range = 2
forest = 3
Suitability scoreCLASSClassLower LimitFrequencyProp.Cum. Freq.Cum. Prop.Suitability scoreCLASSClassLower LimitFrequencyProp.Cum. Freq.Cum. Prop.
0011560924650.5819560924640.5819
0122221530.0002561146160.5822
11331614800.0017562760960.5838
21445847070.0061568608040.5899
31552481120.0026571089160.5925
41667546170.0078578635320.6003
51772007200.0021580642520.6024
61883501680.0036584144200.606
71992849300.003586993520.609
8110109308020.0097596301520.6186
9111113260420.0034599561920.622
10112126251680.0065605813600.6285
11113132335550.0024608149160.6309
12114145007840.0052613157000.6361
13115152790490.0029615947480.639
14116163838560.004619786040.643
15117171647780.0017621433840.6447
16118182504030.0026623937880.6473
17119191455380.0015625393280.6488
18120202351740.0024627745040.6513
1912121945630.001628690680.6522
20122221398530.0015630089200.6537
2112323737390.0008630826600.6544
22124241207910.0013632034520.6557
2312525517730.0005632552240.6562
2412626844680.0009633396920.6571
2512727473010.0005633869920.6576
2612828666500.0007634536400.6583
2712929435750.0005634972160.6587
2813030478780.0005635450960.6592
2913131296640.0003635747600.6596
3013232494720.0005636242320.6601
3113333298610.0003636540920.6604
3213434574230.0006637115160.661
3313535233500.0002637348640.6612
3413636396010.0004637744640.6616
3513737241890.0003637986520.6619
3613838421880.0004638408400.6623
3713939226100.0002638634480.6625
3814040324210.0003638958680.6629
3914141187830.0002639146520.6631
4014242288130.0003639434640.6634
4114343165980.0002639600640.6636
4214444281350.0003639882000.6638
4314545167230.0002640049240.664
4414646279320.0003640328560.6643
4514747154590.0002640483160.6645
4614848250830.0003640734000.6647
4714949159300.0002640893280.6649
4815050282470.0003641175760.6652
4915151196900.0002641372640.6654
5015252316490.0003641689120.6657
5115353170790.0002641859920.6659
5215454239560.0002642099480.6661
531555586430.0001642185920.6662
541565648560.0001642234480.6663
551575728470642262960.6663
561585829640642292600.6663
571595912970642305560.6664
581606021050642326600.6664
59161611640642328240.6664
6016262350642328600.6664
6116363280642328880.6664
6216464200642329080.6664
631656540642329120.6664
641666650642329160.6664
651676710642329160.6664
02686898870.0001642428040.666500
126969181950.0002642610000.6667131361361880866827840.8993
227070615270.0006643225280.6673231371372690866830560.8993
327171216910.0002643442200.6675331381382010866832560.8993
427272829070.0009644271280.66844313913915170866847760.8993
527373735390.0008645006680.66925314014011490866859280.8993
6274741948760.002646955440.67126314114119440866878720.8993
7275752320190.0024649275640.67367314214216410866895120.8994
8276766009190.0062655284840.67988314314337310866932400.8994
9277773805960.0039659090800.68389314414433980866966400.8994
10278788540830.0089667631640.692610314514551910.0001867018320.8995
11279795237790.0054672869440.698111314614632030867050320.8995
122808012721880.0132685591360.711312314714770260.0001867120560.8996
13281818608830.0089694200160.720213314814851340.0001867171920.8996
142828213362610.0139707562800.7341143149149100290.0001867272240.8997
15283837065200.0073714628000.741415315015077310.0001867349520.8998
162848410918370.0113725546400.7527163151151167670.0002867517200.9
17285856940160.0072732486560.7599173152152131790.0001867648960.9001
182868611869340.0123744355920.7722183153153281200.0003867930160.9004
19287876817810.0071751173760.7793193154154218010.0002868148160.9007
202888811661810.0121762835600.7914203155155442240.0005868590400.9011
21289897191530.0075770027120.7989213156156344980.0004868935360.9015
222909012141000.0126782168160.8115223157157735940.0008869671280.9022
23291917253360.0075789421520.819233158158542670.0006870213920.9028
242929210508230.0109799929760.82992431591591062270.0011871276160.9039
25293935922290.0061805852080.836253160160762220.0008872038400.9047
26294948886480.0092814738560.84522631611611384670.0014873423040.9061
27295954967000.0052819705600.8504273162162945490.001874368560.9071
28296966851220.0071826556800.85752831631631663790.0017876032320.9088
29297973860220.004830417040.86152931641641109570.0012877141920.91
30298985852570.0061836269600.86763031651652007430.0021879149360.9121
31299992918500.003839188080.87063131661661323810.0014880473200.9134
3221001003697950.0038842886000.87443231671672356230.0024882829440.9159
3321011011906010.002844792000.87643331681681514580.0016884344000.9175
3421021022883540.003847675520.87943431691692861450.003887205440.9204
3521031031486170.0015849161680.8813531701701805830.0019889011280.9223
3621041042319050.0024851480720.88343631711713181030.0033892192320.9256
3721051051256300.0013852737040.88473731721721971010.002894163360.9276
3821061061798270.0019854535280.88653831731733563820.0037897727200.9313
3921071071035170.0011855570480.88763931741742472830.0026900200000.9339
4021081081596050.0017857166560.88934031751754695870.0049904895840.9388
412109109807570.0008857974160.89014131761763025610.0031907921440.9419
4221101101342520.0014859316640.89154231771775763610.006913685040.9479
432111111779200.0008860095840.89234331781783771300.0039917456320.9518
4421121121123710.0012861219520.89354431791796821390.0071924277680.9589
452113113600960.0006861820480.89414531801804123660.0043928401360.9632
462114114882460.0009862702960.8954631811816600630.0068935002000.97
472115115502000.0005863204960.89554731821823967260.0041938969280.9741
482116116767150.0008863972080.89634831831835674510.0059944643760.98
492117117483790.0005864455840.89684931841843601590.0037948245360.9838
502118118699670.0007865155520.89765031851855071800.0053953317120.989
512119119339650.0004865495200.89795131861862217130.0023955534240.9913
522120120499680.0005865994880.89845231871873152390.0033958686640.9946
532121121215710.0002866210560.89865331881881445890.0015960132560.9961
542122122265260.0003866475840.89895431891891586990.0016961719520.9977
552123123126550.0001866602400.8991553190190659960.0007962379520.9984
562124124107490.0001866709920.8992563191191672360.0007963051840.9991
57212512546020866755920.8992573192192280260.0003963332080.9994
58212612653520.0001866809440.8993583193193267740.0003963599840.9997
5921271274890866814320.899359319419471570.0001963671440.9998
6021281282310866816640.8993603195195110460.0001963781920.9999
6121291291170866817840.899361319619655700.0001963837600.9999
6221301302600866820480.899362319719745130963882721
6321311311250866821760.89936331981988680963891361
6421321322100866823840.89936431991999750963901121
6521331331040866824880.89936532002002230963903361
6621341341080866825920.89936632012011120963904481
67213513580866826000.899367320220260963904561
new-histos-rangesuit
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FOREST
RANGE
SUITABILITY SCORE
NUMBER OF CELLS (HECTARES)
SUITABILITY MAP CELLS IN LAND-COVER CLASSES
new-histos-woodysuit
Histogram of crossrange-vs-woods_r2-suitable-for-forest0
ag/urb =1range = 2forest = 3
Suitability scoreCLASSClassFrequencySuitability scoreSuitability scoreCLASSClassFrequencySuitability scoreSuitability scoreCLASSClassFrequency
0123430023463003481
11534051126603311371998
2181186762229500962231024742
31113546333212724983331345230
41141077644421522970244316156039
5117719745521827077555319167777
61201733626622178426766322467560
71231703347722458959377325364083
81262785828822794355088328733767
91292642419923059360499331599361
101324593331010233114818210103341128714
1113520486211112368620201111337731309
121386806531212239164338312123401152945
13141251699131324210596881313343565605
14144696020141424521031681414346768907
15147597843151524811600031515349373758
16150777799161625120045701616352602434
17153474329171725411343081717355331461
18156526552181825716215691818358483619
1915940456219192608193981919361220297
20162559968202026311493162020364301757
2116525960821212666107922121367147514
22168329362222226910471792222370156507
231711665212323272539452232337366194
241741693132424275625150242437657725
25177634382525278282162252537916345
261801483782626281434736262638223657
27183508892727284237517272738510620
2818663458282828725490328283886037
2918977782929290586452929391762
30192163983030293655203030394741
3119527603131296133503131397138
32198258532322992465332323100154
33110111863333210262133333310320
34110410143434210531953434310612
023463
1266033
22950096
321272498
4215229702
5218270775
6221784267
72245895