Multi-scale Mapping Of Fire Regime Condition Class
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Transcript of Multi-scale Mapping Of Fire Regime Condition Class
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Multi-scale MappingMulti-scale MappingOfOf
Fire Regime Condition ClassFire Regime Condition Class
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Why Map?
• Communication• “Guidebook”
characterizes FRCC but not spatially
• Spatially identify restoration opportunities
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Why Develop a Tool?
• Most land managers lack GIS skills
• Many analytical tasks are repetitive
• Automation saves time, money, and reduces analytical errors
• Consistency & repeatability
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Mapping Tool Objectives
• Compare existing condition to the reference condition• Derive and spatially display departure indices• Spatially identify restoration opportunities• Report change necessary to mimic reference condition• Conduct change detection between existing condition & proposed
treatment
Excessive Similar Deficient
Relative Amount
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FRCC Mapping Tool
Model inputs
Spatial Data• Biophysical setting (e.g., BpS)• Existing condition of successional
states (e.g., veg-fuel classes)• Landscapes (e.g., reporting units)
Tabular Data• Reference condition table• Landscape to BpS crosswalk
Model outputs
Spatial Data• Veg-Fuel Class Percent Difference• Veg-Fuel Class Relative Amount• Veg-Fuel Condition Class: std level• Veg-Fuel Class Departure• Veg-Fuel Condition Class• Landscape Departure
Tabular Data• Landscape Reports
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Model Inputs
• Data Requirements
– Continuous & consistent
– Any scale (geographic extent & resolution)
– Capable of discriminating BpS & Veg-Fuel classes
• Data Sources
– Remote Sensing
• Satellite imagery
• Photo interpretation
– Stand exam
– Field-level mapping
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Biophysical Settings(BpS)
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Derivation of BpSPvt Hfr BpS
abgr1 ms1 PPDF1
abgr1 ms2 PPDF1
abgr1 nl PPDF1
abgr2 ms2 DFIR2
abgr2 sr1 GFDF
abgr3 ms2 GFDF
abla1 ms2 SPFI1
abla2 ms2 SPFI1
abla2 sr1 SPFI1
abla3 ms2 SPFI1
abla3 sr1 SPFI1
abla4 ms3 SPFI2
abla4 sr1 SPFI2
drygrass ii MGRA1
dryshrub iii MSHB1
fesida ii MGRA2
fessca ii MGRA1
laly ms3 SPFI2
mesicshrub iii MSHB1
pial ms3 SPFI2
•Biophysical setting (PVT)•Historical Fire Regime (HFR)•75 unique combinations in R1VMP
PVT HFR
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Vegetation-Fuel Class(Structural Stage Class)
• Structure– Open
– Closed
• Seral state– Early seral
– Mid seral
– Late seral
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Derivation of Veg-fuel Class• PVT• HFR• BpS• Dominance type• Size class• Canopy cover class
BpS Dom Size Canopy Vegfuel
PPDF1 GFB grass/forb grass/forb a
PPDF1 IMXS 0-5 in dbh high a
PPDF1 IMXS 0-5 in dbh low a
PPDF1 IMXS 0-5 in dbh moderate a
PPDF1 IMXS 10-15 in dbh high b
PPDF1 IMXS 10-15 in dbh low c
PPDF1 IMXS 10-15 in dbh moderate b
PPDF1 IMXS 15+ in dbh high e
PPDF1 IMXS 15+ in dbh low d
PPDF1 IMXS 15+ in dbh moderate e
PPDF1 IMXS 5-10 in dbh high b
PPDF1 IMXS 5-10 in dbh low c
PPDF1 IMXS 5-10 in dbh moderate b
}4,500 combinations in R1VMP
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Derivation of Veg-fuel Class - R1VMP
Size Canopy Cover Veg-fuel Class
0-5 in dbh all A – early seral
5-10 in dbh
10-15 in dbhhigh (>60%) B – mid-seral; closed
5-10 in dbh
10-15 in dbh
low (10-25%)
moderate (25-60%)C – mid-seral; open
>15 in dbhlow (10-25%)
moderate (25-60%)D – late-seral; open
>15 in dbh high (>60%) E – late-seral; closed
**Except where PVT = PICO, PIFL, PIPO, PSME1
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Landscapes• Geographic units for deriving composition of veg-fuel
classes for any given BpS
• Nested hierarchy; up to 3 levels
• Vary by BpS/Fire regime group
HUC6 HUC5 HUC4
HFR I and II HFR III HFR IV and V
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Landscapes(Reporting Units)
• Geographic units for deriving composition of veg-fuel classes for any given BpS
• Nested hierarchy; up to 3 levels
• Vary by BpS/Fire regime group
HUC6 HUC5 HUC4
HFR I and II HFR III HFR IV and V
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Reference Condition (HRV)
Potential Natural Vegetation (BpS)Vegetation-fuel
Class Composition
FireRegime
LandscapeHierarchy
Code Name A B C D E
AAOW Alder-Ash (Oregon, Washington) 22 52 3 2 21 IV 3
CAME California Mixed Evergreen 10 30 15 20 25 I 1
CHDF Cedar-Hemlock_Douglas-fir 10 35 5 5 45 V 3
CHPI Cedar-Hemock-Pine (Washington) 15 49 1 5 30 IV 3
DFIR1 Douglas-fir Interior Pacific Northwest 10 10 20 45 15 I 1
DFIR2 Douglas-fir Interior Rocky Mountains 15 25 20 25 15 III 2
FHWO1 Fir-Hemlock (Washington, Oregon), Forest 15 25 5 10 45 V 3
GFDF Grand Fir-Douglas fir 15 45 10 5 25 III 2
LPSC Lodgepole pine-Subalpine CA 20 10 30 30 10 III 2
MCAN Southwestern Mixed Conifer 10 5 20 60 5 I 1
•Midpoint of HRV for veg-fuel classes•Derived from VDDT•Includes landscape hierarchy
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Veg-Fuel ClassPercent Difference
• The difference between existing veg-fuel class composition and the reference condition
• Indicates the veg-fuel classes that are most deficient to most excessive
• Most informative of all the indices
Values: -100 to 100Negative = too little;Positive = too much
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Veg-Fuel ClassRelative Amount
• Classification of the Percent Difference (lose information)
• Identifies excessive and deficient amounts of veg-fuel classes
• Suggests management scenarios– Maintain veg-class (similar)– Recruit veg-class (deficient)– Reduce veg-class (excessive)
Trace Under Represent Similar Over Represent Abundant
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Veg-Fuel Condition Class: Stand Level
• Classification of relative abundance
• Suggest management scenarios:– CC1 = maintain/recruit
– CC2 = reduce
– CC3 = reduce
• Useful for NFPORS reporting
PercentDifference
(%)Relative Abundance
Std-levelFRCC
<25Similar, Under Represented, Trace
1
25 to 75 Over Represented 2
>75 Abundant 3
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Veg-Fuel ClassDeparture
• Signifies the overall departure across all vegetation-fuel classes within a BpS
• Values = 0 to 100• Useful for prioritizing
BpSs for restoration
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Veg-Fuel Condition Class(BpS-level)
• Classification of Veg-Fuel departure
• Stratified by BpS & landscape
• Represents the vegetation component of FRCC
Vegetation-FuelDeparture (%)
Vegetation-FuelCondition Class
<34 1
34 to 66 2
>66 3
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Landscape Departure
• Area-weighted average of Veg-Fuel departure at lowest level of the landscape hierarchy
• Useful for prioritizing landscapes
• Values range between 0 and 100
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Reports• How much change is necessary to mimic the
reference condition?• What Veg-Fuel Classes need to be treated?• Unique by landscape level
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Where are we??
• Completed 1st round of beta-testing– Gila– Northern Region– Klamath
• Testing change detection• Editing “User Manual”• Release beta version in March
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All models are wrong…
…but some are useful.
George E. P. Box