SDJR Demonstration

The following demonstration was conducted using the national instructions and MO1 tools and guidance

The SDJR process is expected to evolve over time, but this is the best guidance that is currently available

Build an Electronic Folder Before you begin a project, create a folder for

storing all project documents Supports NASIS Project object Ultimately stored on the MO1 SharePoint site

to facilitate sharing of information and enhancing security

Data may have to be scanned for it to be stored electronically

Build an Electronic Folder Includes, but not limited to:

› Spatial Distribution Maps› Pedons

• OSD, TUDs, KSSL pedons, and/or other pedons

› MUD’s • Original and newly proposed provisional map unit forms

› Links to KSSL Data› Photos› Correlation Information

• Correlation documents and trip reports

› University Data› Vegetation Information› Any other pertinent information

1 – Inventory and Assess Map Units

In the SDJR map unit table provided› Sort by map unit name› Group map units based on identical or similar

names› For map units in SDJR and MLRA projects • Populate project ID and project name

› For map units not in a project• Populate a zero in the project ID

1 – Inventory and Assess Map Units

MO1 recommends that you assign a project ID, project name, and priority using the map unit Excel spreadsheet

We have added these three fields to the Excel spreadsheet containing your map units

Feel free to develop your own methods to organize map units if these don’t work for you

New Fields

1 – Inventory and Assess Map Units

Project ID› Internal tracking tool/data management tool› Uses a sequential alphanumeric systems› Each project gets a unique ID› Will help with filtering and querying› Map units that contain the same major component (s)

will receive the same number, but can be subdivided with an alpha character

› Enter zero for all non-projects• This way, a blank project ID indicates that the map unit (s)

was not evaluated

1 – Inventory and Assess Map Units

Project Name› Will be the name populated in the Project table in

NASIS› Proposed projects start with SDJR

• Example – SDJR – MLRA 2 – Alpha sandy loams, 0 to 8 percent slopes

› Future projects start with MLRA• Example – MLRA – MLRA 4A – Beta loams

› Left blank for non-projects

1 – Inventory and Assess Map Units

Project Priority› This is your proposed project priority,• Management team has the final say

› If you attempt to prioritize your projects, than you will have to decide what criteria to use• Acreage and land use will be two of the most important

criteria

Filtering› Can use filtering to isolate

similarly named map units

› Here, I have located all Alderwood consociations that generally occur in the 0 to 15 slope range

1 – Inventory and Assess Map Units

Can rapidly populate the Project ID and Project Name

Project ID

Project ID = 0› Map unit only used in one soil survey area› No reason to create future project at this time› No similar map units› Not harmonizable

Project ID

Project ID = 1› Identical named map units in several survey areas› No lower case letter suffix used since there is not

a second set of Agnew map units that will be included in a project

Project ID

Project ID’s = 2a and 2b› Lower case letters used with 2 since there is an Alderwood project for 0

to 15 % slopes and a second project for Alderwood 15 to 30 % slopes› You may end up grouping all Alderwood into a single project, keeping all

Alderwood projects associated with the same number will make that easier to do at a later time

Project Name

Make sure to correctly separate MLRA (future) projects from SDJR (proposed) projects

No project name given for non-projects No priority needed for MLRA or non-projects

Assign all map units in the table to a SDJR, MLRA, or non-project

Once this is complete, import the table into your SDJR geodatabase and create a relationship class between the table and the soil polygon feature class

1 – Inventory and Assess Map Units

Relationship class› Establishes connection between the soil polygon

layer and the Mapunit table› Allows for querying of the table and subsequent

display of tabular data through the soil polygon layer• i.e. select data in table and show which polygons it occurs

in

› Overcomes many to one relationship› Can use identify tool to click on a polygon and see

associated information in the table

1 – Inventory and Assess Map Units

Relationship class› Created in ArcCatolog

Soil polygon feature class

Relationship class

SDJR map unit table

1 – Inventory and Assess Map Units

Relationship class› Identify tool

• Click on a polygon and “drill down” into the related table

• Can see all the component level information from the table that is associated with the polygon

1 – Inventory and Assess Map Units

Data from map unit table

Relationship class› Spatially display tabular data

• Open table and use select by attributes to find records

• Can see all the component level information associated with the polygon

1 – Inventory and Assess Map Units

In this example, we have selected project ID 30b. This is a simple query, but you can create complex queries that group multiple data elements together.

Relationship class› Spatially display tabular data

• Relate selected records form the table to the soil polygon feature class– Choose related tables and then choose the soil polygon feature class– This will select all corresponding records in the soil polygon feature class

1 – Inventory and Assess Map Units

All polygons that are part of project 30b are now selected

Display Component Level Data We have displayed polygons in this project that have minor hydric

components in red

Display Component Level Data Some Alderwood components in this project have the out-of-date classification of

Loamy-skeletal, mixed, mesic Vitrandic Durochrepts

Display Component Level Data Due to the presence of volcanic ash in the region, we expect the WEI to be lower than 86. This

query show Alderwood components in this project with a WEI of 86 that also have a Vitrandic Subgroup

MLRA SSA Wide Maps Generate maps of soils properties for the entire MLRA SSA

Relationship class› Display location of RV pedons

• The table includes information about your component RV pedons

• You can use the Add XY data tool in ArcMap to spatially display all of your RV pedons

• Always choose WGS84 as your coordinate system

1 – Inventory and Assess Map Units

1 – Inventory and Assess Map Units MO1 Demonstration

› For the rest of the MO1 demonstration, we have randomly chosen three Getchell map units in MLRA SSA 1-1 to harmonize

› Project ID: 30b › Project Name: SDJR – MLRA 3 Getchell loam, 30 to 65 percent slopes

2 – Populate Proposed Projects in NASIS

For additional Project Object guidance, use NASIS 6.0 Training Material: Chapter 14 – Managing Update Projects

Added a new row to the project table and populated:• Project Name (can copy and paste in from the excel map unit table)

• Project Description

• Approval – Not Approved

• MLRA SSO Area Symbol

• MLRA SSO Area Name

• State ResponsibleThis is the information I populated for project 30b

2 – Populate Proposed Projects in NASIS

Project Description Elements:› Indicate it’s a SDJR project› Ownership› Acreage› Location› Methods

Description will be reviewed by the MO1 staff and the Management Team

2 – Populate Proposed Projects in NASIS

Getchell Project Description

2 – Populate Proposed Projects in NASIS

Populate Project Mapunit table› Load appropriate soil surveys into your local

database› Open Project Mapunit table and use the national

map unit symbol to add map units• National map unit symbols are in the excel spreadsheet

• Double check to make sure you are loading the correct map units, as a map unit name can be used with more than one national map unit symbol

Mapunits From Excel Spreadsheet

2 – Populate Proposed Projects in NASIS

My symbols match so I know I loaded the correct map unit for 30b

Prioritization

The MLRA SSOL has the option to add a recommended prioritization

This is done by adding it to the project name› SDJR – MLRA 3 – 1 – Getchell loam, 30 to 65

percent slopes

The Management Team is ultimately responsible for setting the priorities

I did not add a priority to 30b

3- Proposed SDJR Projects Reviewed

MLRA SSOL notifies SDQS that they have proposed a project• project folder uploaded to MO1 sharepoint site

SDQS will conduct primary review of the proposed project and provide feedback to MLRA SSOL

The MLRA SSOL will notify the Management Team that they have a proposed project

Management Team conducts secondary review and will approve and prioritize project

Overview of the project review process

4 – Approved project is developed

Once project is approved by the management team, the MLRA SSOL checks “Project Approved“

The number or map unit acres is totaled I have three Getchell map units in the project

that total 5653 acres

4 – Approved project is developed

Populate the Project Land Category with the total map unit acres

4 – Approved project is developed

Populate the Project Mapping Goal› Update NRCS Acres Goal

• 20% of the total acres in the Project Land Category Breakdown

• Use NASIS acres, not GIS acres

• 5653 NASIS acres of map units in project 30b– 5,653 * .20 = 1,131 acre goal

› Fiscal Year

4 – Approved project is developed

Populate the Project Staff Table

› Identify the project leader

4 – Approved project is developed Populate the Project Milestone table with:

› Project approval date› 13 milestones that start with “SDJR”› Project completed date

4 – Approved project is developed Enter the date the project was approved in the

“Milestone Date Completed” field You will add the “date completed” for the other

milestones as you work through the project

4 – Approved project is developed

As you work through the SDJR project, up date the milestones and also update the Project Milestone Progress child table

4 – Approved project is developed Create New MLRA map unit

› Add new row in the Mapunit table• Populate:

– Mapunit Name– Kind– Status - Provisional

Write down the National Mapunit Symbol› Will be used in the DMU description

4 – Approved project is developed

Populate Mapunit History table• Author

• Correlation Kind - status change – added

• Text – provide a brief write up about the purpose of the new map unit

Example of write up

4 – Approved project is developed Add a new row in the Data Mapunit table

› Populate • DMU Description

– DMU Description will contain 2 components1. “MLRA-SSOA” General Map unit symbol2. “MLRA-SSOA” Detailed Map unit symbol3. National map unit symbol

– Example» 9_1300_2mprt

• 9 is the MLRA- SSOA developed general map unit symbol• 1300 is the MLRA- SSOA developed detailed map unit

symbol• 2mprt is the national mapunit symbol of the map unit

this DMU will be correlated to as the representative DMU

4 – Approved project is developed Return to the Mapunit table and add a new row to the

Correlation table for your new MLRA map unit› Add your new DMU and make sure the Rep DMU is checked› Add the DMUs that are the Rep DMU for all the original map

units in your project• Make sure they are not the Rep DMU for your new map unit

4 – Approved project is developed

Add new MLRA map unit to your Project Mapunit table› Use the national mapunit symbol to add your map unit› *This maintains the link between your new map unit

and your SDJR project

5 – Create Spatial Distribution Maps

Store in electronic folder› Map unit distribution› Thematic maps› Precipitation/temperature maps› Geology maps› Land cover maps› Pedon location maps› Any map you feel is appropriate

5 – Create Spatial Distribution Maps

6 – Compile Historical Information Begin adding data to your folder

› Pedons • OSD, TUDs, KSSL pedons, and/or other pedons

› MUD’s • Original and newly proposed provisional map unit forms

› Links to KSSL Data› Photos› Correlation Information

• Correlation documents and trip reports

› University Data› Vegetation Information› Any other pertinent information

6 – Compile Historical Information

Screen Shot of my 30B project folder

6 – Compile Historical Information TUDs and MUDs from published manuscripts Links to all WA, OR, and ID pdf manuscripts are

available on the MO1 website Locate all pertinent TUDs and MUDS and store in

electronic folder I copied the text and stored it as a word

document

6 – Compile Historical Information

Discuss map unit and series concepts with local experts who have historical knowledge› You basically need to talk to Chad, Thor and

Steve

Store any information you deem pertinent in the project folder

7 – Enter Pedons Populate point feature class in a geodatabase

› Create points for all pedons› Create a point spatial distribution map

7 – Enter Pedons Points in Geodatabase

› Allows you to control information through domains› Will want to identify User Pedon ID and pedon types

7 – Enter Pedons

Review OSD Classification› Current classification: Medial, amorphic, Aquic

Haplocryands• In OSD remarks it says “Classification only changed 4/94

because of recent amendments to Soil Taxonomy. Fails criteria for spodic because of lack of an albic horizon.”

• OSD last updated 2004

• How up-to-date is the Getchell classification?

7 – Enter Pedons Getchell OSD characteristics

› Parent Material• Volcanic ash over colluvium and till

› Depth Class• Moderately Deep (<100 cm) to ortstein cemented till

› Drainage Class• Moderately well drained with “mottles” and “coatings”

between 20-36 in

› Vegetation• Includes pacific silver fir

7 – Enter Pedons

Getchell lab data› Lab data is available on two Getchell pedons, but

it’s doesn’t include all of the necessary information (it’s old)

› Review & update KSSL lab pedons› We will have to assume that this soil will meet

andic, medial, and amorphic criteria› We will add a future MLRA project indicating the

need to sample Getchell

7 – Enter Pedons

Getchell OSD classification› Currently a Haplocryands, but due to the

presence of an ortstein cemented layer with in 100 cm of the soil surface, it should classify as a Duricaryands• Original Classification: Medial, amorphic Aquic Haplocryands

• Should Classify As: Medial, amorphic Aquic Duricryands

7 – Enter Pedons Review TUD’s

› Are any of the TUDs’ the OSD? • In project 30b, the answer is no

› Do they classify correctly and do they fall within the concept of the OSD?• In all TUDs, I’m assuming andic, medial, and amorphic

• In all TUDs, no redoximorphic features present, but drainage class is moderately well drained– Will assume saturated conditions exist above 100 cm and the

aquic subgroup is met

7 – Enter Pedons Review TUD’s

› WA634 TUD is MD to ortstein cemented till• Within OSD concept

› WA657 TUD is MD to compacted dense till• Outside OSD concept

› WA673 TUD is MD to compacted dense till• Outside OSD concept

Dense till is not cemented and ortstein is cemented Duricryands have a cemented layer within 100cm

› Dense till is not considered cemented, but ortstein cemented layers meet the criteria

7 – Enter Pedons Classifications of TUDs and OSD would vary

What is the solution?

How TUD’s and OSD Would Classify

Survey Area New Classification

WA661 (OSD) Medial, amorphic Aquic Duricryands

WA634 (TUD) Medial, amorphic Aquic Duricryands

WA657 (TUD) Medial, amorphic Aquic Haplocryands

WA673 (TUD) Medial, amorphic Aquic Haplocryands

7 – Enter Pedons Final Decision

› Only the WA634 currently meets the OSD concept› Yet, the OSD and TUD’s are all moderately deep to

till and the use and management of the soils is not affected by the absence or presence of the ortstein

› After taking into account local knowledge, it was decided the presence of ortstein is inconsistent

› The Getchell OSD will be updated and will no longer be recognized as having an ortstein cemented layer

7 – Enter Pedons Final Decision

› It will be noted in the OSD range of characteristics that ortstein can occur in the dense glacial till but is not cemented enough to meet the duric subgroup

› OSD will retain classification› All Getchell components will use the OSD as the

representative pedon

7 – Enter Pedons Final Decision

› It will be noted in the OSD range of characteristics that ortstein can occur in the dense glacial till but is not cemented enough to meet the duric subgroup

› OSD will retain classification› All Getchell components will use the OSD as the

representative pedon› All Getchell components will be classified as

Medial, amorphic Aquic Haplocryands

7 – Enter Pedons Issues uncovered so far

› Need lab data for Getchell› Need to investigate the presence of ortstein› Need to investigate the aquic subgroup› There are concerns about the spatial distribution

of the polygons

Will still proceed with harmonization but the will continue to document issues with the intention of building a future MLRA project for the Gethcell map units

7 – Enter Pedons Update the OSD

7 – Enter Pedons Update the OSD

› Currently states in Getchell OSD

› Ortstein cementation is thought to be inconsistent in the compacted till• Changed the 2Bsm to a 2Cd horizon

• Added a statement in the range in characteristics that states “ortstein cementation has been observed in the compacted till in some pedons”

› All TUD’s will now fall in the concept of the OSD

7 – Enter Pedons Enter pedons into NASIS

› Identify the representative Getchell pedon (which in this example is the OSD)

› Locate all existing Getchell pedons in NASIS› Update existing pedons in NASIS to current

standards› Enter missing TUDs, OSD, and other Getchell

pedons• Update classifications and horizonation

7 – Enter Pedons Enter pedons into NASIS

› Pedon data entry guidance is forthcoming› An updated NASIS 6.2 Pedon entry thunderbook should

be available soon

7 – Enter Pedons Generate new TUD

› Use MO1 Technical Note 45 – Taxonomic Unit Description

› The range in characteristics and the RV profiles will be used to populate the component in your new MLRA map unit

› The TUD will be included in your project folder

8 – Review map units, DMUs and GIS

Conduct surface analysis on project map units Review the MUD’s for map unit composition

and map unit concept Review, up date, and utilize data in DMU’s and

manuscript tables

8 – Review map units, DMUs and GIS

Used Whityn’s pivot tables generated from tabulate areas to conduct surface analysis

I only reviewed slope in this example due to time constraints, but ideally I would review elevation and aspect

I used the pivot tables to generate charts that show the distribution of slope

8 – Review map units, DMUs and GIS

Surface analysis results (slope)

74142: 30-65 % slopes74845: 30-60 % slopes75124: 30-60% slopes

Used MUKEYs to identify map units

74142 is MUKEY for WA63474845 is MUKEY for WA65775124 is MUKEY for WA673

8 – Review map units, DMUs and GIS

Surface analysis (slope)

74142: 30-65 % slopes74845: 30-60 % slopes75124: 30-60% slopes

MUKEY 74142 occurs in WA634. It is clearly not mapped on the same landforms as the other two map units. Appears to be more like a 0-40 % slope.

74845 & 75124 have almost identical distributions.

8 – Review map units, DMUs and GIS

74142: 30-65 % slopes75122: 3-30 % slopes

The problem mapunit, 74142, is checked against a Getchell 3-30 % slope map unit (MUKEY 75122 from WA673). The 74142 map unit has a similar distribution to that of the 3 to 30% map unit. The slope analysis has affected the project. The 74142 (WA634) map unit will be removed from this SDJR project and placed in a future MLRA project.

8 – Review map units, DMUs and GIS

So far:› WA634 Getchell 30-65% slopes will be removed

form the SDJR project› WA657 and WA673 Getchell 30-60% slopes have

similar slope distribution and will be grouped together

› Need to determine slope for the new map unit based on the combined distribution of the WA657 and WA673

8 – Review map units, DMUs and GIS

Both remaining Getchell map units are shown separately in this screen shot

Here, they are now grouped together

8 – Review map units, DMUs and GIS

What is the slope of the new MLRA map unit?

This is a subjective decision.

Try to retain the original concept, but don’t completely ignore the data.

For the new MLRA map unit, I’ve decided on using a slope phase of 20-60%, with an RV of 35%.

This keeps the RV in the 30-60 range, but doesn’t discount the data that shows significant areas the map unit occurring on slopes less than 30.

8 – Review map units, DMUs and GIS Review data in WA657 and WA673 for Getchell

components (WA634 map unit removed)› How similar is the data?

• Identical data elements– LCC– Component Forest Productivity– Component Existing Plants– Drainage Class– Component Month– Depth Class– Much of the component horizon data

» Only difference is the WA657 accounted for the gravelly silt loam surface texture

• Based on review, I have no concerns with grouping the Getchell components

8 – Review map units, DMUs and GIS Read MUD’s in original manuscripts

› Are they similar?› What are the minor components?• Most of the older surveys will not have minor

components populated in NASIS, but they will be listed in mansuscript

8 – Review map units, DMUs and GIS Check surface textures

› WA673 – Loam› WA657 – Gravelly silt loam› OSD – silt loam

Timber production is major use and management concern, surface texture is not a big correlation issue in this example.

Using the OSD surface texture will suffice

8 – Review map units, DMUs and GIS

WA657 % WA673 %

GETCHELL 85 GETCHELL 85

crinker -- hartnit --

deep soils -- oso --

rock outcrop -- revel --

soils < 20” to till --

rock outcrop --

poorly drained soils --

getchell on slopes > 65 --

getchell on slopes < 30 --

Map units as they exist in the manuscript MUDs

Each map unit stated Getchell comprised 85% of the map unit and there were 15% minor components of varying soils. As you decide on what minors to include, keep the dissimilar model of correlation in mind.

8 – Review map units, DMUs and GISWA657 Depth WA673 Depth

GETCHELL MD GETCHELL MD

crinker MD Hartnit MD

deep soils -- Oso MD

rock outcrop -- Revel MD

soils < 20” to till --

rock outcrop --

poorly drained soils --

getchell on slopes > 65 --

getchell on slopes < 30 --

•Each MUD has moderately deep minor components that are Spodosols or Andisols and these components have similar site index values to those of Getchell.

•I decided these moderately deep soils were similar to Getchell and I will not include them in the map unit.

8 – Review map units, DMUs and GISWA657 Depth WA673 Depth

GETCHELL MD GETCHELL MD

crinker MD Hartnit MD

deep soils VD or D Oso MD

rock outcrop -- Revel MD

soils < 20” to till SH

rock outcrop --

poorly drained soils --

getchell on slopes > 65 --

getchell on slopes < 30 --

•Above are the dissimilar minor components. There are shallow soils, deeper soils, and miscellaneous components.

•Based on my review, I’ve decided to included the following components in the map unit:• Very Deep soil 5%• Shallow soil 5%• Rock outcrop 5%

8 – Review map units, DMUs and GIS

I looked in the survey areas that have used Getchell as a major component and I found two other major components that have the correct geographic setting, classification and depth class:› Playco

• Loamy-skeletal, istotic Andic Haplocryods

• Very Deep

› Clendenen• Medial-skeletal, mixed, super active Lithic Humicryods

• Shallow

8 – Review map units, DMUs and GIS

New MLRA Map unitComponent % Major Depth

GETCHELL 85 Yes MD

Clendenen 5 No SH

Playco 5 No VD

Rock Outcrop 5 No --

8 – Review map units, DMUs and GIS

All minor components will be fully populated Here is the problem with SDJR: “Ripple Effect”

› I will need to repeat step 7, enter pedons into NASIS, for Playco and Clendenen• This means I need to review OSD and pedons, choose a

RV pedon, enter them into NASIS, and develop a TUD

› Creates a huge workload, but will get faster

9-Populate new MLRA DMU Populate new DMU in NASIS

Use TUDs generated in step 7 Use any available lab data Follow technical note 40

10 – Document the new map unit & DMU

Update the map unit name to Getchell 20-60% slopes Populate the map unit text table with your concept of the MLRA map

unit› Include any information you discovered about the map unit during

harmonization› Include correlation decisions in the Text Entry› Enter

• Kind – map unit description

• Category – map unit concept

10 – Document the new map unit & DMU

Populate the map unit text table with your concept of the MLRA map unit› Geomorphology› Parent material› Areas where it occurs› Major land use› Important properties› Original concept in manuscript› How and why did you decide on your minor components› Any other important information

Enter › Kind – map unit description› Category – map unit concept

Be thorough, this is your chance to explain your

decision making process

11-Identify Future Projects Extremely important Basically developing a thorough MLRA long

range plan This may be how your MLRA SSO is evaluated

in the future Be thorough

11-Identify Future Projects During our work on 30b, we have identified the following

issues:› Lab data is needed

• Is Getchell medial, amorphic and an andisol?

› The presence and/or absence of ortstein should be reviewed› Ecological sites are needed› The map unit in WA634 could not be harmonized due to the

results of the slope analysis• Is on a different landform than other map units in the project

› A mis-join was identified between the Getchell map unit in WA634 and a map unit WA661

› The spatial extent of Getchell is in question

Mis-JoinWA661 map unit• Getchell – Oso complex, 15 to 30 percent slopes

WA634 map unit• Getchell silt loam, 30 to 65 percent slopes

Actual slope of the WA634 Getchell map unit fit the 15 to 30 range better

11-Identify Future Projects Create a future MRLA project electronic folder

› I have spent time and resources in the evaluation of Getchell

› I want to store all of my evaluation findings in a future project folder and place it on the MO1 sharepoint

› Items included will be similar to the folders created for the SDJR projects

11-Identify Future Projects A new future MLRA project is created

› Populate• Project name

– Since this project deals with the Getchell series and not just a map unit, I only included Getchell in the project name

– MLRA – MLRA 3 – Getchell

• Project description

• Approval

• MLRA SSO

• State Responsible

• Project Mapunit table

11-Identify Future Projects Project Description

› Describe all of the issues known about this proposed project

11-Identify Future Projects Project Mapunit

› Add all appropriate map units› In this instance, since the Getchell concept is in

question, all Getchell map units are included

11-Identify Future Projects No acre goals assigned at this time Can keep adding to the MLRA project as you

work on other map units You will have a good bit of freedom to develop

the future projects as you see fit

12-Update OSD and Lab Data OSDs were updated in step 7

› Submit the updated OSDs to the MO

Submit changes to MO for KSSL pedons and sites and/or other pedons you don’t have permission to edit in NASIS

13- QC

100% quality control is conducted on your new map unit and data map unit› Use MO1 Technical note 38

Once completed, notify MO and they will begin the QA process

Notify MO of any future projects you have identified

13 & 14- QA and Certificaiton

Project goes through QA and is certified The new MLRA Getchell map unit is the new

official data in WA657 and WA673

14 – Progress Reporting After SSURGO certification, I can report progress in the

Project Mapping Progress table Goal was 1131 acres, which is 20% of total acre

› Getchell map units originally included in the project totaled 5653

543 acres removed because WA634 map unit is not longer included

5,653 - 543 = 5,110 acres 5,110 * 0.20 = 1,022

› I will report 1,022 acres in the Project Mapping Progress table