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Title: Soil Inventories, Sampling, Characterization, and Data Acquisition


1
Soil Inventories, Sampling, Characterization, and
Data Acquisition
Toby Rodgers, USDA-NRCS Soil Survey Project Leader
2
Site and Soil Considerations
  • Ideally located with climate sensors or in close
    proximity to a station
  • Located in area with existing soil survey
    information
  • Availability of soil scientist with local
    knowledge of soil conditions
  • Representative soil characteristics and ability
    to sample soil

3
Sites with Soil SensorsOregon and Washington
4
Okanogan National Forest Soil Survey Harts Pass
SNOTEL site
920
902
914
919
702
923
905
712
902
919
712
5
923Vitrandic Dystrocryepts, 5 to 35 slopes Map
Unit Setting Elevation 5,800 to 6,800 feet Mean
annual precipitation 40 to 80 inches Mean annual
air temperature 35 to 40 degrees F Frost-free
period 40 to 70 days Map Unit Composition Vitrand
ic Dystrocryepts, udic, non-forested, and similar
soils 85 percent Description Setting Landform
Moraines Parent material Mixed volcanic ash 7 to
25 inches thick over colluvium and residuum from
mixed rock sources Properties and
qualities Slope 5 to 35 percent Depth to
restrictive feature 20-40 inches to
bedrock Drainage class Well drained Capacity of
the most limiting layer to transmit water (Ksat)
1.98 to 5.95 in/hr Depth to water table
n/a Available water capacity Low (about 3.7
inches) Interpretive groups Ecological site
SUBALPINE PARK (R006XY704WA) Typical profile 0 to
4 inches Gravelly ashy sandy loam 4 to 12
inches Gravelly ashy sandy loam 12 to 20 inches
Very gravelly ashy sandy loam 20 to 31 inches
Extremely gravelly sandy loam 31 to 35 inches
Unweathered bedrock
6
Soil Survey Report Physical Properties Table
7
Soil Bulk Density Sampling
Saran-coated Clods
Compliant Cavity
8
Saran-coated Clods
9
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10
Measured Soil Properties
11
Measured Soil Properties
12
Soil fabric obtained from saran-coated clods
Bw (cambic) horizon
Cd (densic) horizon
13
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14
  • 2 stations on Mitchellbay series (forested vs.
    pasture)
  • fine-loamy, mixed, superactive, mesic Aquultic
    Haploxeralfs
  • somewhat poorly drained, moderately deep to
    densic
  • Each station has 3 moisture sensors (Decagon
    EC-20)
  • and 1 temperature sensor at 20 inches

15
Soil Moisture vs. Precipitation
16
Soil Moisture Across Horizons
17
Daily Soil Temperature vs. Average Daily Air
Temperature
18
Soil Moisture vs. Growing Degree Days
19
Remote Area Soil Proxy Model
  • RASP developed to model soil-landscape
    relationships of Cascade Range
  • Intended for Order 3 and 4 surveys
  • Growing inventory (gt 600) of site and soil
    observations
  • Ongoing development and research with NRCS, NPS,
    and WSU

20
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21
S (cl, o, r, p, t, )
  • Climate frigid/xeric, frigid/udic, cryic/xeric
    cryic/udic
  • - proxies from vegetation and climate modeling
  • Vegetation coniferous, deciduous, and
    herbaceous
  • - satellite imagery interpretation and
    classification
  • Topography slope, aspect, wetness index,
    elevation, etc.
  • - geomorphology and GIS derived data
  • Parent Material residuum, glacial sediments,
    volcanic tephra
  • - varies by landform, delineated through
    geomorphology data
  • Time - lt13,000 yrs, dependant on landform

22
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24
Andic Haplocryod
Oi
E
Bs1
Bs2
2BC
2C
25
  • Schematic View of the Middle Fork Pasayten River
  • oblique color photograph of river drainage
  • false color satellite image, (bands 3, 4, 5) of
    same drainage draped over 30 meter DEM
    illustrating clear differences in coniferous
    (dark green), herbaceous (light green), snow
    (blue), and non-vegetated (pink) cover types
  • curvature grid zoomed to peak visible at left
    edge of valley view
  • color photograph of peak
  • meadow soil profile, location indicated with
    arrow
  • forested valley bottom soil profile, location
    indicated with arrow
  • forested slope soil profile, location indicated
    with arrow

26
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27
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28
Modeling Sequence in Pasayten River
Watershed Modeling steps successively extract
soil types with unique combinations of digital
soil proxies until each cell is classified to
provide the final map of soil distribution.
29
NRCS Soil Characterization Data
Soil Survey Laboratory National Soil Survey
Center USDA-NRCS - Lincoln, NE http//ssldata.nr
cs.usda.gov Web soil survey http//websoilsurve
y.nrcs.usda.gov/app/ Example of Soil
Characterization
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