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Spodosol Distribution in Northern Idaho: Digital Modeling Using Terrain Attributes Mitch Valerio 1 , Paul McDaniel 1 , Bruce Knapp 2 , Paul Gessler 1 , Anita Falen 1 1 University of Idaho, Moscow 2 NRCS, Moscow

Spodosol Distribution in Northern Idaho: Digital Modeling

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Spodosol Distribution in Northern Idaho: Digital Modeling Using

Terrain Attributes

Mitch Valerio1, Paul McDaniel1, Bruce Knapp2, Paul Gessler1, Anita Falen1

1University of Idaho, Moscow2NRCS, Moscow

Kaniksu NF

WA MT

OR

ID

Kaniksu NF

Previous StudiesNS

1100 m(3600 ft)

1500 m(4900 ft)

SpodosolsSpodosols

Houston (1988); McDaniel et al. (1993, 1994)

Previous Study Areas

Current Study

• Application of previous elevational thresholds to entire Kaniksu NF

• Influence of other soil forming factors

• Explanatory model

• Map development

Site Selection

• Study area divided into 9 sampling categories– Elevation

– Solar insolation

Sampling Sites

• 72 sites visited during summer 2010

Data Collected

Field Data• Horizon depth• Color• Structure• Vegetation• Coarse fragments• Site characteristics

– Aspect– Slope

Laboratory Data

• Selective dissolution

– Ammonium oxalate (AOD)

– Sodium pyrophosphate

• Soil pH

• NaF pH

• KCl pH

Elev: 1173 mAspect: SW

Elev: 1327 mAspect: W

Elev: 1520 mAspect: NNE

Working with Aspect• “Radiation” = tan(slope) x cos(θ-180)

– Unitless, range -0.5 - 0.6 (Stage 1976)

• “Heat Load” = (1-cos(θ-45))/2– Unitless, range 0 – 1 (McCune & Keon 2002)

• “Folded Aspect” = 180-|θ-180| (McCune & Keon 2002)

• “Incident Radiation” = 0.339 + 0.808[cos(L) x cos(S)] - 0.196[sin(L) x sin(S)] - 0.482[cos(A) x sin(S)]– Units MJ cm-2 yr-1 (McCune & Keon 2002)

Exploratory Data Analysis

• Sites categorized into Spodosol or non-Spodosol

• Sites categorized into spodic horizonation or not

• Boxplots used for initial trends

• Classification trees based on topographic variables

Boxplots (1)

Boxplots (2)

|Elevation.m< 1118

Radiation>=0.09381 Elevation.m< 151

Heat.load>=0.03194

131/41

018/4

012/0

06/4

113/37

112/18

112/14

10/4

11/19

Exploratory Results:Spodosol/non-Spodosol

Misclassification Error Rate = 20.0 %

(NS/S)

(NS/S)

(NS/S)

(NS/S)

(NS/S)

(NS/S)

(NS/S)(NS/S)

(NS/S)

|Elevation.m< 1259

Elevation.m< 1118

Folded.aspect>=2.269

Elevation.m< 879

124/48

022/15

016/6

011/1

05/5

03/0

12/5

16/9

12/33

Exploratory Results:spodic/non-spodic

South of 130⁰/230 ⁰

Misclassification Error Rate = 15.3%

(NS/S)

(NS/S)

(NS/S)

(NS/S)

(NS/S)

(NS/S) (NS/S)

(NS/S) (NS/S)

Rules-based Map (Sample)

Findings

• Elevation is most important variable

• Elevational thresholds confirmed across NF (Spodosol/non-Spodosol model)

• Aspect is significant

Ongoing Work

• Determine influence of vegetation and contrasting bedrock materials

• Develop initial map of potential Spodosol distribution based on best explanatory models

• Ground-truth predictive model

• Refine model and create final map

Acknowledgements

• NRCS

• Thomas Staples and Eric Robertson