Definition. A major land resource area (MLRA) soil survey update is a systematic process designed to improve official soil survey products and information (see General Manual GM_430_402_A_402.5_A) with consideration of the full extent of soils and map units across the major land resource area (see Part 649, Section 649.02 of this handbook). Updating by MLRA is a continuous activity of inventory and assessment, data collection and synthesis, review, and recertification of existing soil survey information that brings all soils information to a common standard. The MLRA soil survey update is planned and organized using scheduled projects that systematically focus on specific groups of soils or landforms and the associated support data, interpretations, and maps.
Purpose. The MLRA process will develop a seamless coverage of soils information across the Nation. Updating soil survey information by MLRA ensures that current and accurate soil survey information is available to meet the needs of the majority of users and is delivered to the users in a timely manner. Project plans are coordinated across the existing (i.e., “traditional” or “non-MLRA”) soil survey area boundaries and follow natural landforms. The MLRA process facilitates mapping, interpreting, and delivering seamless soils information across broad geographical areas of common resource values, land uses, and management concerns.
610.01 Policy and Responsibilities
MLRA soil survey update activities are conducted as a series of projects developed to address prioritized update needs (refer to Part 608, Section 608.05 of this handbook). Projects are developed in the context of the entire MLRA with the goal of developing a seamless soil survey and ecological site products across political lines.
Soil survey inventories and assessments are conducted on existing soil survey products to identify deficiencies and are used to recommendations for improvement of the official soil survey information (see Section 610.02[c]). The inventories and assessments are completed by the soil survey office (SSO) prior to commencing update activities for the MLRA soil survey area. (See General Manual GM_430_402_A_402.5_C.)
An SSO long-range plan is developed based on the results of the inventory and assessment. This document is reviewed annually and kept current.
Project plans are developed by the SSO staff with assistance from the SSO technical team (see Part 608 of this handbook). Project plans and project evaluations are managed in NASIS.
Projects are based on the map units occurring on natural landforms over a broad physiographic area. Maps and data are standardized to create seamless soil delineations that follow natural landforms and flow across county, parish, or State lines and land management boundaries.
A common map scale, map unit name, map unit design, and mapping intensity are used within broad physiographic areas to provide soil information at a level commensurate with most user needs.
Annual plans of operation are developed to guide activities and provide specific focus to the SSO staff.
Project milestones are used to identify and document project activities.
Progress (in acres) is reported when the project data is published to the Soil Data Warehouse or when project data is certified.
Correlation decisions are recorded in NASIS. All project data receives a 100 percent quality control review followed by a quality assurance review (see Part 609 of this handbook).
The completed project data is published as official soils information to the Web Soil Survey (see General Manual GM_430_402_A_402.5).
Responsibility for the various aspects of updating soil surveys is held jointly by the soil survey directors, program leaders and staff at the state offices, soil survey regional offices (SSROs), and soil survey offices (SSO) and, for some Federal lands, the NCSS partner agency representatives. The NRCS General Manual, GM_430_402_A_402.10 outlines the responsibilities of staff leaders in these offices. In addition to the following responsibilities, refer to Part 608, Section 608.01 and Part 609, Section 609.01 of this handbook for an overview of additional responsibilities.
MLRA Soil Survey Regional Office (SSRO)
The directors of the SSROs:
Coordinate activities of the management teams and review and approve the SSO long-range plans and project plans;
Provide guidance to the SSO on initiating and carrying out the process of updating soil survey information;
Conduct quality assurance reviews of the revised spatial and attribute databases as specified in Part 609, Section 609.01 of this handbook;
Assure that survey staff are properly trained in soil survey procedures and database management; and
Approve changes to soil survey legends proposed by the SSO and management team.
The state soil scientists:
Serve as a member of the management team(s) for the soil survey offices servicing their State (specific roles are identified in the management team operating procedures);
Develop priorities for soil survey update projects with the management team members (refer to Part 608, Section 608.05[d] of this handbook);
Serve as the primary contact (liaison) to the NCSS cooperators and partners in the State; and
Inform and obtain concurrence of the state conservationists and leaders in cooperating agencies for project priorities.
Soil Survey Office (SSO)
The MLRA soil survey leaders:
Develop a long-range plan for the SSO area;
Lead the SSO technical team and carry out its functions;
Develop project plans that address prioritized and approved update needs;
Follow standard operating procedures of the soil survey region in conducting updates to soil survey information;
Review the benchmark soils and propose changes;
Develop, populate, and manage appropriate update information in NASIS;
Coordinate update activities with neighboring SSO staff;
Keep the SSRO, States, and NCSS cooperators informed of activities and update progress;
Maintain the correlation history of all map units; and
Conduct quality control of the revised spatial and attribute databases as specified in Part 609, Section 609.01 of this handbook.
610.02 Long-Range Plan
Definition. A long-range plan predicts future activities based upon a continuation of current trends and needs. In soil survey, the long-range plan is used to document the status of current soils information and identify emerging information needs. The long-range plan is a succinct document presented to the management team and board of advisors.
Purpose. The long-range plan provides the framework for the MLRA update process. It assists in the creation of shorter-term soil survey projects with specific objectives, goals, strategies, and milestones. The SSO staff, with input from the technical team (see Part 608 of this handbook), gathers information to develop the long-range plan for the MLRA soil survey area. The long-range plan identifies the customers and their needs, assists stakeholders in understanding the value and condition of the soil survey information, and identifies the work necessary to improve existing soil survey information and maps.
Inventory and Assessment. An inventory and assessment of the existing soil survey information is necessary to build the long-range plan.
Existing soil survey data is inventoried and analyzed to determine completeness, accuracy, and appropriateness for current land management decisions. Information is gleaned from soil survey manuscripts, historical correlation documents, current staff experience, spatial analysis, field office records, field office staff interviews, and soil survey laboratory data. It may come from those who actively participated in the initial soil survey or from cooperators and users of the information. Information necessary to build a long-range plan for the MLRA soil survey area is generally readily available. The information gathered during the inventory and assessment is compiled and analyzed to build a long-range plan for the MLRA soil survey area.
The inventory and assessment identifies deficiencies and possible improvements in the official soil survey information. Exhibit 610-1 and the national instruction on the Soil Data Join Recorrelation Initiative (NI_430_305, available online at: http://directives.sc.egov.usda.gov/default.aspx) is useful in identifying resources to be compiled. Exhibit 610-2 is a list of items to be considered during the inventory and assessment. The findings are recorded in the NASIS Legend Text table and used as documentation in the long-range plan.
The NASIS text notes provide a history of the inventory and assessment for future uses. The NASIS reports are used to compile the legend text notes and include additional survey information used in writing the long-range plan.
Long-Range Plan Development
The long-range plan addresses needs, issues, and concerns identified by the SSO during the inventory and assessment. It is a dynamic document that can be revised as soil survey update work progresses and new needs emerge. The long-range plan is not intended to provide specific details. Examples of long-range plans are provided on the SharePoint site for the National Soil Survey Center (NSSC) at: https://nrcs.sc.egov.usda.gov/ssra/nssc/MLRA Long Range Plans/Forms/AllItems.aspx. The long-range plan informs managers and partners of the MLRA soil survey update needs. Some of the major information items useful in building the long-range plan are listed below. Additional information may be included at the MLRA soil survey leader’s discretion.
Information in this section provides the setting and organizational makeup of the program participants. It should include the membership of the board of advisors, management team, and technical team and should identify the NCSS partners with interests in the MLRA soil survey area.
General nature of the survey area
This section generalizes Agriculture Handbook 296 information to provide a brief description of the MLRA(s) within the soil survey area. It highlights the diversity of the area and the various issues that affect the soil survey update. It should include information on the climate, vegetation, geology, and geography of the MLRA.
Geographic areas for project development
These areas can be of any geographic extent but are generally associated with geologic formations, geomorphic surfaces, natural landforms, land resource units (LRUs), common resource areas (CRAs), or soil catenas and serve as the basis from which projects will be conducted.
Supporting information could include, but is not limited to:
a brief history or overview of correlation concepts used in the area,
historical map scales,
historical correlation documents,
lists of benchmark soils,
official soil series descriptions and their locations,
map units and their summed acreages,
components and their summed acreages,
lists of the ecological site descriptions (ESDs) or potential workload, and
resource maps (e.g., geology, climate, and vegetation).
Inventory and Assessment Report
The major findings of the inventory and assessment report are included in the long-range plan. The report (see Exhibit 610-3) is used to identify the potential project plans. It uses information that can be rapidly processed to identify the issues. This information is also used to prioritize geographic areas and update needs.
Long-Range Plan Publication
The long-range plan provides current users with justification for the needed updates and provides information for future decisions made about the MLRA soil survey area. The long-range plan is used by the management team and technical team to prioritize update needs (refer to Part 608, Section 608.05[d] of this handbook). The plan is published on the NSSC SharePoint site “MLRA Long Range Plans” at: https://nrcs.sc.egov.usda.gov/ssra/nssc/MLRA Long Range Plans/Forms/AllItems.aspx.
610.03 Update Strategies
Definition. Strategies to update soil survey data, both attribute and spatial data, are designed to implement effective actions and make efficient use of time and staff resources. Strategies may address updating soils information in stages. Staging permits the update of attribute and spatial data databases, individually or concurrently, or the integration of multiple projects to address data issues for a geographic area.
Purpose. Strategies provide the tactical framework from which to initiate, conduct, and deliver updated soils information to the users. Key tasks and milestones are identified for the strategies and are addressed in the long-range plan.
MLRA recorrelation soil attribute data
This is a process of reconciling map unit names, map unit composition, and horizon depths and properties to assist in developing a seamless soils coverage. The initial process focuses on reducing the number of data mapunits for similarly named soil map units by aligning those that represent a continuation of mapping concepts across non-MLRA soil survey area boundaries. The ultimate goal is a set of data for each map unit concept, thus reducing the redundant map units, components, and horizons within the database. The continued process will populate all components and unify soil horizon depths into an MLRA map unit concept. This process is the underpinning of MLRA recorrelation. For more information on MLRA recorrelation see NI_430_305 Soil Data Join Recorrelation Initiative (available online at: http://directives.sc.egov.usda.gov/default.aspx).
Recorrelation of soil attribute data on an MLRA basis:
Draws heavily upon information obtained from the assessment of map units and components;
Uses NASIS to manage and document the projects and decisions;
Requires a thorough understanding of soils and landscapes of the area and requires skill in data analysis in NASIS;
Uses existing soil survey publications and correlation documents and relies on the experience and knowledge of technical team members;
Begins with a review of the map units assigned to the MLRA;
Ensures consistent use of phase terms in the MLRA (map unit names are recorrelated to common MLRA phase criteria);
Ensures that same and similarly named data mapunits are reviewed and compared, and that duplicate data mapunits are reduced (correlated) based on an analysis of the results;
Bridges the inventory and assessment to the field project development steps for the MLRA; and
Assists staff in identifying potential MLRA field projects.
MLRA field projects
These projects involve fieldwork necessary to collect additional data to correlate map unit information. The result is a seamless coverage across political boundaries.
The long-range plan identifies update priorities within the MLRA soil survey area that accommodate stakeholder and partner interests.
Project milestones are used to manage tasks and document progress.
Multiple project plans are developed with time frames extending from weeks to months to as much as 2 years. Projects expected to require more than 2 years should be reevaluated and subdivided into smaller projects with shorter individual timelines, as appropriate.
Projects are prioritized to address update activities that include field investigations by the SSO staff.
Survey boundary polygon joins
Polygons lines are physically joined across political boundaries.
Spatial datasets are examined along boundaries. Lines are adjusted and closed off along natural landform breaks, or map units are correlated across the adjoining survey area.
Recompiling to planimetric base
Modern accurate digital base materials may not have been available during the mapping and digitizing of traditional soil survey areas. Consequently, digitized soil lines may not conform to landforms on planimeterically accurate imagery. Soil delineations, symbols, and cultural features may be digitally edited or recompiled and digitized when the base is not sufficiently accurate to meet the current needs.
Significant divergence between the image base and soil mapping can also arise from changes in stream courses, mining activity, urban growth, etc. Recompiling or digitizing to a new base imagery may be needed. Procedures for acquiring new base materials are covered in Part 647 of this handbook.
Special investigations and/or monitoring
Special investigations clarify or augment data and soil survey information. Studies may be undertaken to clarify issues about hydric soils, saturated soil layers, saturated hydraulic conductivity, chemistry or mineralogy, climate, dynamic soil properties, and other site-specific soil conditions.
Special investigations should concentrate on benchmark soils, typical ecological sites, or other important soils in the MLRA.
Approval to conduct an extensive revision must be obtained from the Director of the Soil Science Division (refer to GM 402.5[c]). The project evaluation is submitted as supporting documentation.
Extensive revision requires considerable fieldwork that usually involves a complete remapping and documentation of map units within a given area.
Extensive revision is available only if the project evaluation documents indicate that remapping of the survey is justified.
If extensive revision is deemed necessary, all MLRA update procedures will be followed. The revision will be completed on the MLRA landform basis. The work will be progressively correlated (see Part 609, Section 609.02[a] of this handbook) and the information published in annual or biannual time frames.
A project soil survey memorandum of understanding (MOU) is not required but can be prepared if it is deemed valuable. It must be compatible with other memoranda of understanding in effect.
Supplemental mapping provides a more detailed soil map and information for areas of limited extent. It is a result of more intensive onsite investigations. The supplemental soil map is considered a separate soil map developed for specific needs. It is maintained as improved documentation and attribute data. Supplemental soil maps are not considered changes to the Official Soil Survey Information. (See General Manual, Title 430, Subpart A, Section 402.5 F.).
Supplemental mapping is conducted as a Technical Soil Service activity for a specific customer and managed as a site-specific investigation (see Part 629 of the Technical Soil Services Handbook for more information). Results are captured as pedon information in the NASIS database, as appropriate, and serve as additional documentation to support future update projects.
Supplemental soil mapping is not official soil survey data and is not delivered to the Web Soil Survey.
610.04 Project Plan
Definition. The project plan details work activities necessary to improve soil survey information on an MLRA-wide basis. It is developed from the prioritized and approved issues identified in the long-range plan. All projects are managed in the NASIS database. Clear goals and milestones are developed and progress is documented. In most cases, a project is designed so that it is completed within 1 year; the time period should not exceed 2 years.
Purpose. The project plan identifies specific soil map units, geographic areas, soil catenas, or soil properties to be investigated. It identifies and coordinates strategies to be employed, resources required, investigations needed to address the issues, and quality control and quality assurance activities to ensure that standards are maintained. Project plans may take on various forms depending on the strategies employed, as discussed above. The objective is seamless soils information that is accurate, complete, and consistent and that meets user needs across the MLRA. Updated data from completed projects is published to the Soil Data Warehouse, thus improving the official soil survey information.
Setting Project Priorities
Projects are prioritized to balance local needs with national and State issues. The objective is to weave together a variety of projects with various time frames so that the annual plan of operations will efficiently utilize SSO staff, account for adverse or seasonal weather, and permit annual reporting of progress. Prioritizing considers costs and benefits, ease or difficulty of effort, value to users, acres impacted, staff capabilities, and equitable assistance to users. Priority status for pending projects should be evaluated annually.
Input from technical teams and cooperators is important in determining local priorities. The local issues are merged with national and State priorities identified at work planning conferences and addressed by the long-range plan. The long-range plan is used by the management team and technical team to prioritize update needs.
The technical teams develop the criteria for ranking projects. The scientific merit, external merit, internal merit, financial/partnership inputs, and efficiency can be used to numerically rank projects.
Exhibit 610-5, Example of a Project Evaluation Ranking Procedure, can be used to create a ranking and prioritizing formula for an MLRA soil survey area. A ranking procedure that evaluates the need and importance of individual projects, especially projects that require substantial resources, aids in prioritization. Soil survey offices should periodically review their ranking procedures to assure that they are addressing important issues and are consistent across the MLRA soil survey region.
Project Plan Development
Project plans are managed in the NASIS Project table. The Project table is populated with the map units, staff, goals, and milestones necessary to complete a project. The project plan is built from data entered in the Project table. Project plans with formatting, graphics, and maps can be posted to a SharePoint site and the Web address entered into the NASIS Project table “Description” field. Detailed process steps for managing project plans in NASIS are found in Chapter 14 of the NASIS User Guide (available online at: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/tools/?cid=nrcs142p2_053545).
The preferred project plan approach focuses on specific groups of map units or landforms within the MLRA or geographic area. The plan should coordinate soils information across traditional soil survey area boundaries, following natural landforms. See Exhibit 610-6 for a project plan checklist.
Project plans are designed so that all work is completed and the project is published within a 1-year time frame. Projects requiring laboratory characterization or seasonal field-work may extend beyond a 12-month period, but actual work activities should not require more than 12 months. Any additional work needed outside the scope of the original project should be developed into future projects.
Many projects require the recorrelation of existing map units and data mapunits, and some projects require more extensive fieldwork (MLRA field projects). Combinations of multiple projects involving either database work or field activities should allow for completion of projects on an annual cycle.
New map unit(s) and data mapunit(s) are created for the project. Existing information remains for historical purposes.
A project evaluation is conducted to identify the needs of the project. Exhibit 610-4 includes items that are useful in the project evaluation. A summary of the project evaluation is documented in the new project map unit(s) as instructed in Exhibit 610-4. The following items should be addressed in the project evaluation process:
Review the published manuscript map unit descriptions to identify the original map unit concepts and composition;
Review the survey correlation records to identify final correlation issues;
Review ESD and other plant community information for completeness and appropriateness for development of ESDs and State and Transition (S&T) Models;
Compile and analyze any special investigation and laboratory data collected for the map units;
Compile available historical transect and pedon descriptions, including the manuscript taxonomic unit descriptions;
Review and evaluate the accuracy and consistency of that data in NASIS;
Create a map unit geographic distribution map to identify soil delineations and landform positions;
Look for variability of soil delineations which may result from individual mapping styles or differences in detail within and among soil survey areas and for the consistent use of standard landform and miscellaneous surface features and ad hoc features (i.e., spot symbols);
Evaluate the validity and regional consistency of map unit concepts;
Analyze the soil-landscape model, ensuring that the same map units occur in areas with the same or similar geology, landforms, and parent materials;
Evaluate map unit polygons that fall outside of the predicted landform(s);
Examine line placement for conformance to landforms and crisp landscape boundaries, such as for escarpments, upland and flood-plain interfaces, and the edges of water features;
Examine line work for join issues between adjacent soil survey areas;
Determine the extent and impacts of change in land use within the survey area;
Investigate catastrophic natural events or human activities that have altered the land and, consequently, interpretive ratings;
Review the kind and accuracy of the soil interpretations and consider interpretive results and the relation of data entries to criteria;
Evaluate needs for new or additional interpretations not included in the survey; and
Evaluate needs for new interpretations such as dynamic soil properties or soil quality.
Project plan goals, progress, and milestones are identified and assigned to staff members.
Staff collect sufficient documentation, historical and/or current, to fully populate all soil properties, qualities, and interpretations for correlated components.
Project findings are summarized and entered in the map unit history notes of the project map unit. Documentation should address conclusions of the project, including decisions on the replacement of correlated map units from traditional or non-MLRA soil survey areas.
Soil survey investigations may be needed as part of project plans or may be designed as projects themselves. Investigations require a research work plan. This plan is developed by the MLRA soil survey leader in consultation with the NSSC liaison, partner agencies, and/or others who will assist the MLRA soil survey leader by providing expert regional and national consultation. Investigation plans are added in the Project Text table. The NSSC liaison is added as a Project Staff member. See Part 631 of this handbook for more information on soil survey investigations. Exhibit 631-3 provides a research work plan checklist. Exhibit 631-4 is an example of a research work plan.
Managing Spatial Data
Minor spatial line adjustment can be made during the normal course of work in a project. Extensive line work revision is conducted as a separate project in future MLRA update work. Various GIS and database software are available for coordination across multiple non-MLRA soil survey areas within the MLRA. Extensive spatial revisions must be documented based on the detailed project evaluation.
Printing Project Plans
The NASIS database contains several NSCC Pangaea reports suitable for printing the project plans. The reports are designated with the prefix “PROJECT –.”
“PROJECT – PLAN – Description by state” is a more thorough report providing the description, milestones, and map units. (See Exhibits 610-7a, 610-7b, and 610-7c.)
“PROJECT – PLAN – MO Report (state, office)” is a summary report that focuses on the project name, starting and completion dates, and the description. (See Exhibit 610-7d.)
610.05 Annual Plan of Operations (APO)
Definition. Annual plans of operation (sometimes called business plans) are developed to guide and provide specific focus to staff as projects are being implemented. They are developed each fiscal year and identify project goals, milestones, objectives, timelines, and responsibilities to guide the staff in planning day-to-day operations. See Part 608 of this handbook for more information.
Purpose. Annual plans of operations are developed and implemented by SSO staff. The APO incorporates the MLRA project plans. The list of needs and priorities may change with time (according to Farm Bill priorities, deficiencies identified as other projects are being performed, cost share opportunities, etc.), and flexibility should be maintained for possible adjustments within this process.
The APO should account for all projects and staff activities, including field mapping and investigations, database maintenance, formal training, technical services, technical and management team meetings, staff meetings, and personnel management and supervision.
The APO is maintained annually and adjusted for the gains or losses in staffing at the SSO.
610.06 Certification of Soils Data
Definition. Data certification is a three-step process for ensuring that soils information and data are accurate, complete, and meet NCSS standards and MOU objectives. The certification process begins with a quality control review of new or changed information and data at the SSO. Upon completing the quality control review, the data is subjected to a quality assurance review at the SSRO. The final step in the process is the confirmation of the dataset by the State before the information is exported to the Soil Data Warehouse.
Purpose. The data certification process ensures that all significant changes to any previously certified database are documented and recorded. By certifying and exporting the data (attribute and spatial), the State is assuring that the information posted to the Soil Data Warehouse has passed MLRA SSO quality control and MO quality assurance inspections, is suitable for use by the general public, and meets National Cooperative Soil Survey standards. Progressive soil correlation, quality control, and quality assurance are essential and integral tools in certifying data. These processes are used throughout the development of a soil survey project.
The certification of data is documented in NASIS. This documentation includes the completion of quality control and quality assurance reviews of changes to any previously certified database. Information on the reason for changes to a dataset and what was actually changed is documented in export metadata. In addition, a level of certification is assigned to the data mapunit, legend, and export package for a particular soil survey area and indicates the degree of confidence with which they may be used. As new records are created, the previous records are retained in order to maintain a certification history. The following NASIS tables are used for recording certification:
The Legend Certification History table records information about the review and certification of data in the Legend Object. Completion of quality control and quality assurance reviews are recorded and a level of certification is assigned to the legend. This level indicates whether or not the legend should be used and the degree of confidence with which it may be used.
The Legend Export Certification History table records information about the export of all data associated with a legend, including map units, soil property data, and interpretations. A level of certification is assigned to the export package for a particular soil survey area. Information on the reason for changes to a dataset and what was actually changed is documented in narrative text notes (export metadata).
The Data Mapunit Certification table records information about the review and certification of data in the Data Mapunit Object. The completion of quality control and quality assurance reviews is recorded, and a level of certification is assigned to the data mapunit. This level indicates whether or not the data mapunit should be used and the degree of confidence with which it may be used. This certification relates to the whole data mapunit, including all of its components, horizons, etc.
610.07 Publication of Soils Data
Upon completion of the quality assurance review, the soil survey regional office (SSRO) works with the state soil scientist to incorporate the project map units into the affected legend(s).
The state soil scientist is responsible for populating the publication map unit symbol and map unit acres for the new map unit(s). The published legends become new official soil survey information as designated in General Manual GM_430_402_A_402.5.
The MLRA soil survey leader records the completion of quality control activities in the Data Mapunit Certification table and trhe Project Milestone table.
The SSRO staff records the completion of quality assurance activities in the Legend Certification History table.
The state soil scientist records the changes pertaining to the update of the legend at the time of the export in the Legend Export Certification History table. This information is provided as metadata explaining to the customers the changes made in the survey area.
As frequently as needed to meet NRCS or cooperator needs, and at least annually, the state soil scientist schedules exports to the Soil Data Warehouse for the updated soil survey area(s).
Exhibit 610-1 Resources for the Inventory and Assessment Report
Soil Surveys in the MLRA SSO Area
Previously completed soil surveys
Soil surveys for conservation planning
Soil survey quality control data, including field notes and documentation
Soil survey photographs, block diagrams, and other figures
Soil survey quality assurance documents
Soil correlation memoranda and amendments
Reference Maps (use in digital format if available)
Original field sheets
Major land resource area maps
General soil map
All available aerial photography and other remote-sensing coverage
USGS topographic and slope maps
Public lands survey
Maps and text on geology, geomorphology, geography, and water resources
Maps and text on vegetation and land use
Climatic maps and data
Flood plain maps
Maps and text on air resources
U.S. Fish and Wildlife Service wetland maps
Reports and Inventories
Crop-reporting service reports
River basin reports
State, regional, or county land use plans and regulations
Resource Conservation and Development work plans
Public lands management reports and inventories
Bulletins and reports of State Agricultural Experiment Stations
National Food Security Act Manual and similar manuals
National resource inventory data
Field office technical guides
Soil laboratory data
Scientific and Research Reports and Data
Theses and dissertations of college or university students
International committee (ICOM) reports, such as those for wet soils, Vertisols, Aridisols, and Andisols
Articles in scientific and technical journals
Well logs from local or State agencies
NRCS drainage, irrigation, and erosion-control guides and maps
Percolation test results from local agencies
Highway soil test data
Ecological Site Descriptions (ESDs)
ESDs developed in other States and adjoining MLRAs
Life zone descriptions
Other plant community inventories
Forestry, Range, and Wildlife Inventories and Studies
Studies and reports on wildlife habitat recreational sites
Official Soil Series
Current version of official soil series descriptions (OSDs)
Archived copies of previous versions of OSDs (if available)
National Soil Information System (NASIS) database
Ecological Site Inventory System (ESIS) database
U.S. General Soil Map (STATSGO2) database
Soil Survey Geographic (SSURGO) database
Soil characterization databases (NRCS and universities)
Digital raster graphic
Digital elevation model
Common land units
Common resource areas
Digital hydrography, transportation, etc.
Exhibit 610-2 Information Items for the Inventory and Assessment Report
The following outline presents the major information items to be considered in updating soil surveys for an MLRA SSO area.
A general review of existing soil surveys and an identification of deficiencies (needed as part of the long-range plan)
Review of legends
Examination of the geographic distribution of soils using GIS tools
Examination of spatial data for join problems
Collection of known information about the quality of existing soil surveys from resource soil scientists, conservationists, other discipline specialists, and other knowledgeable sources
Inventory and review of benchmark soils
Benchmark soil status and documentation
Current status and need for revision
Inventory of existing data
Identification of data gaps
Review and update of official soil series descriptions (OSDs)
Metric units of measure
Use of current taxonomy and horizon designations
Distribution and extent
Diagnostic horizons and features
Other items needing attention
Taxonomic classification of soil components
Application of latest edition of Keys to Soil Taxonomy
Series with obsolete classification
Typical pedon selection
NASIS database review
Integrity and management of site and legend objects
Names and acres of unique map units within the MLRA SSO area
Number of data mapunits by unique component name
Common map unit phase criteria for the MLRA
Map units with incomplete or inconsistent data population
Map units of obsolete or unofficial miscellaneous areas
Component interpretation inconsistencies or errors
Areas impacted by land use changes
Consistent use of data population guides and calculations
Other items needing attention
Spatial database review
Correction of symbol errors due to recompilation
Adjustment of line placement errors
Series mapped over too broad an extent
Geographic areas with spatial problems
Other items needing attention
Review and update of ecological site descriptions (ESDs)
Correlation of ESDs across MLRA/LRU and State lines
Creation and addition of needed ESDs to cover minor components and unique habitats
Completeness of existing ESDs (including S&T Models)
Comparisons to check for redundant sites
Exhibit 610-3 Sample Inventory and Assessment Report for Long-Range Planning
Evaluation Notes for the Out-of-date Soil Survey of Clark County, Washington
Final Correlation Completed 11/1/1972
Total acres: 404544
Total map units: 138
Total components: 141
Initial field review date:
Final field review date:
Correlation date: 11/1/1972
Publications: Traditional Bound Manuscript: 11/15/1972
Publications: Web Publication: 11/15/1972
Land category: U.S. Forest Service: 1430
Land category: National Park Service: 165
Land category: Other Non-Federal Land: 391717
Land category: Other Federal Land: 8032
Land category: Census Water: 18292
Prime farmland acres: 156105
Statewide important farmland acres: 75356
No local important farmland designated
No unique farmland designated
Not prime farmland acres: 173083
1. Classification and correlation:
WA011 was correlated between 1967 and 1970. Field work was performed between 1950 and 1960 and the manuscript was issued in 1972. All work was completed prior to the release of the first edition of Soil Taxonomy. Much of the taxonomy in NASIS does not meet current standards, nor does it match with OSD classifications. Examples of classification issues include:
a. Vitrandic subgroups are used and there is need to evaluate the use of vitrandic subgroups in MLRA 2.
b. One soil in the original WA011 manuscript was identified as frigid (Larchmount). Joins with adjacent surveys have added 2 additional frigid soils (Dougan and Swift). Further investigation is needed regarding temperature and moisture regime distribution in MLRAs 2 and 3 in Clark County as elevation reaches 3,000 feet.
c. Soils such as Washougal were re-classified as various flavors of Andisols and Andic intergrades. Washougal was reclassified as a Melanoxerands after the final correlation of the survey. The NASIS database shows a maximum of 3 percent organic matter in the top 22 centimeters, with decreasing amounts with depth. That quantity falls well below the requirement for organic carbon content in Soil Taxonomy (6 percent organic carbon; weighted average). Quantities of organic matter need to be assessed in the database.
d. Taxonomy does not match with adjacent soil survey areas and the edition of Keys to Taxonomy used is not identified in the NASIS database.
e. Upon review of the final correlation document, it was discovered that decisions were made to correlate some soils (such as the tentative series Towle that was correlated to the McBee coarse variant) because they were of limited extent. Limited extent seems to range from 500 to about 1,700 acres, however some components in the manuscript total less than 1,000 acres. Most comments mention similar range in characteristics as the reason for the correlation to an existing series, however, some were unique enough to be called variants. Acreage was used as a correlation tool and further evaluation of all components is required.
WA011 predates SSSD and NASIS. Some updates to the mapunits occurred prior to NASIS. Examples of mapunit issues include:
a. In the manuscript, minor components, including limiting minor components, are identified by a soil property (e.g., areas of silty-clay loam surface textures) or named component. Issues with the Hesson map units were documented in 1974 and the solution was to use inclusions. One map unit in the manuscript (7 Hesson consociations in total) mentions slightly depressional or nearly level areas. No minor components are identified in NASIS.
b. Miscellaneous Land Types (MLT), such as Rock land and Rough broken land, are used. Great group and subgroup classifications, with horizon data, were added to some MLTs; however, component names such as Rough broken land and Tidal marsh are retained in NASIS and are identified as a taxon above family.
c. Variants are used (examples include but are not limited to):
McBee, Fine-silty, mixed, mesic Cumulic Ultic Haploxerolls
McBee variant, Coarse-loamy, mixed, mesic Aquic Haploxerolls
Minniece, Fine, mixed, mesic Typic Umbraqualfs
Minniece variant, Clayey over loamy-skeletal, mixed, mesic Aquandic Umbraqualfs
d. Numerical slope ranges were not provided in the original WA011 manuscript for MLTs such as Rock Land and Rough Broken land.
e. Use of consociations (in relation to limiting minor components) in MLRAs 2 and 3 needs to be evaluated due to the extreme variability in parent material and landscape position.
f. Slope ranges are assigned in an arbitrary fashion (examples are 0 to 3, 3 to 8, and 8 to 15).
g. Hydric minor components are not included in NASIS. Few hydric minor components are identified in the WA011 manuscript, typically with a reference to drainage only. Due to expanding development and proximity to the Vancouver/Portland area, an urgent need exists to properly identify hydric components in Clark County.
Due to its age, WA011 has migrated from hardcopy to SSSD to NASIS. Examples of issues with components include:
a. H layers are used. No Oi layers are identified in mineral components, but are identified in the hard copy manuscript.
b. Histosols, such as Semiahmoo, have water table data in the Component Month section including water table depths at the surface but have no ponding data. Further water table depths, ponding, and flooding investigation is required on all floodplain soils.
c. Component Pedons are not assigned in NASIS.
d. Parent material needs correlation (e.g., colluvium and alluvium from igneous rock, colluvium and residuum from basalt, colluvium and residuum from igneous rock, colluvium derived from basalt, volcanic ash, alluvium, and/or glacial drift are all included in Parent Material Group Name table).
e. In NASIS, some components have multiple drainage classes assigned (e.g., Sauvie: moderately well and somewhat poorly; Mossyrock: well and moderately well; McBee: moderately well and somewhat poorly; Lauren: somewhat excessively and moderately well). Some of these components have no water table depths assigned in the Component Month table. Given the relatively recent shift in methods to determine water tables from soil features, there is an urgent need to evaluate water table data in all areas of WA011.
f. In NASIS, bedrock layer depths in the Component Horizon table for soils such as Dougan do not match the depth identified in the Component Restriction table.
g. In NASIS, some components do not have frost free day or elevation populated.
h. Mean annual precipitation needs review as some components have a no range listed (e.g., Hockinson: 45 in/year), the range is not typical for the area (e.g., Minniece: 8 12; in/year; Yalelake 115 125 in/year), or the range is too broad (e.g., Tisch 20 60).
4. Spatial Deficiencies:
WA011 predates any GIS and color photography. The base imagery used was flown prior to 1950 and stereoscopes were used at this time. USGS topographic maps were updated in the 1980s. Soil lines were hand-compiled and these lines were in turn hand digitized or scanned. These multiple iterations of line placement may have skewed the original intent of their placement. Issues with the spatial data include:
a. Soil lines in some areas are outside the acceptable margin of error for shoreline coincidence. Soil lines in many cases do not follow natural slope breaks and landforms. Mapunit slope ranges do not fit DEM derived slopes and are arbitrarily assigned.
b. Polygon density needs to be evaluated. There are over 550 polygons 1 acre or less in size, and two polygons greater than 9,000 acres in size (Lauren gravelly loam, 0 to 8 percent slopes; Olympic stony clay loam, 30 to 60 percent slopes). This large disparity in polygon size, in an area that is facing tremendous development pressure is in urgent need of detailed evaluation.
c. WA011 is published at 1:20,000. The sizes of the delineations for an Order 2 survey look questionable and inconsistent, considering most of the map units are consociations.
e. Soil properties do not join appropriately with adjacent survey areas (e.g., pH, bulk density, particle size) even in areas in which series match. Soil lines do not match with adjacent survey areas.
5. Interpretative Deficiencies:
Soil interpretations do not appropriately join with adjacent surveys. This can be attributed to the age of the survey and adjoining surveys, soil series not matching across boundaries, improvements to the calculation of soil data, changes in criteria for assigning ratings, changes in identification of water table features, and the migration of soil series concepts (examples are drainage and depth) as they are used in other areas. Land use, regulations, and resource management have evolved in the time since WA011 was published. Original concepts of map units do not match the current land use and thus, interpretations in many cases do not appropriately apply to the modern demands of the soil survey. Issues with soil interpretations include:
a. Assignment of Land Capability Class (LCC) in Washington State has gone through a number of changes in the time WA011 was published. The official LCCs do not meet the current criteria. In earlier versions, water table depths only during the growing season affected LCC. This has shifted with the current method, in which water table now affects LCC at any time of year. For more information, see MO-1 Technical Note 40 (Revision 1); WA NASIS Guide 2 Criteria for Placing Washington Soils into Capability Classes.
b. Hydric rating is not consistent. Soils such as Washougal are mapped in active floodplains as well as on terraces elevated far above active flooding. Separation of these areas is needed. Some components are assigned multiple drainage classes, Hydric rating needs to be evaluated in combination with map unit component composition, water table depths, and flooding, and is part of a broader issue with scale of mapping and widespread use of consociations.
c. Soil series are delineated across traditional xeric/udic breaks. Traditionally, soil moisture has been arbitrarily assigned based on amounts of precipitation and vegetation. This has led to the development of similar series with overlapping soil moisture concepts. Interpretations derived utilizing soil moisture, such as Forage Suitability Groups and Prime Farmland can be affected. Many of the soils in WA011 are mapped in a variety of microclimates. Soil moisture evaluation is needed to establish consistency. For example, precipitation ranges identified on the Washougal OSD range from 60 to 90 inches of precipitation annually and occur in MLRA 2. In NASIS, some WA011 components, such as Minniece silty clay loam 0 to 3 percent slopes, annual precipitation ranges down to 8 inches per year. Olympic soils range from 40 to 70 inches of precipitation annually.
d. WA011 predates the concept of Ecological Site Descriptions (ESD) which is a national priority.
Exhibit 610-4 Sample Project Evaluation Worksheet
The information gathered on this worksheet should be used for the evaluation of each map unit, the evaluation of the taxa used in the map unit name, and the evaluation of individual delineations of the map unit. This information should be collected and analyzed and the resulting information entered into the NASIS database (see Part 638 of this handbook) in the Legend Text or the Mapunit Text table, as appropriate, under the appropriate map unit(s). All notes entered into the Legend Text or the Mapunit Text table should be populated with Kind set to “miscellaneous notes,” Category set to “evaluation notes,” and Subcategory set to “spatial,” “attribute,” or “interpretation.” The national NASIS report named “MLRA - Evaluation notes for long range planning” is used to create the evaluation report.
Part A. Evaluation of the survey area
Summarize the information from the non-MLRA survey areas occurring within the update project:
How were the soil maps digitized?
What is the new base map for the update?
What is the new map scale?
What additional soil data have users requested?
What additional interpretations have users requested?
Briefly describe the investigative and laboratory support needed to provide the new data and interpretations.
Briefly describe how this survey will be improved by the update.
Briefly describe any publication plans in addition to the Web Soil Survey.
Part B. Evaluation of the map unit (subcategory “attribute”)
Give the probable map unit name if recorrelated.
Do map unit names correspond with current NCSS and editorial standards?
Is the unit adequately described? If not, what is inadequate?
Does the map unit design meet current user needs within the MLRA?
Are limiting dissimilar soils named as minor map unit components in NASIS?
Is the amount and type of minor components consistent with NSSH guidelines?
What were the major interpretive uses of the map unit at the time it was correlated?
What is the major interpretive use of the map unit at the time of evaluation?
Are soil properties consistent with the needs of the current land use?
Are soil property entries in the NASIS database complete?
Part C. Evaluation of the map unit components used to name the map unit (subcategory “attribute”)
Is the proper component kind value entered for the component?
Does the component name and/or taxonomic classification need to be updated? If so, what is the proposed new name or taxonomic classification?
Do miscellaneous area names correspond to the approved list of miscellaneous areas?
Are component names properly entered with only the component name and in title case (e.g., Jonus)?
Are phase criteria properly entered in the local phase column?
Can the soil component be classified as presently described? If no, why not?
Does the depth of the typifying pedon meet current needs?
Does the series (taxa), as described, overlap with other series (taxa)? If yes, how?
Does the typical pedon represent the map unit component?
Is there lab data for the series (taxa)? If yes, how many locations were tested and is the data adequate?
Do the component properties concur with characterization data?
Is the representative pedon within the RIC of the OSD? If not, why?
Is the series consistent with parent material?
Is the series consistent with geomorphic landform?
Is the series consistent with geographic setting and the MLRA?
Part D. Evaluation of the map unit delineations (subcategory “spatial”)
Do soil lines fit major landform breaks?
Do lines correctly separate map units in the soil landform?
Is there a need to create new map units to delineate dissimilar soils?
Are dissimilar soils consistent with the map unit description?
Is the intensity of mapping suitable for the land use?
Does the series concept, as correlated, fit the map unit concept?
How was the mapping evaluated?
Are there user comments?
What are the number of:
field notes ________
areas that need remapping ________
areas that need road checking for line placement ________
Is there an exact join with surrounding surveys?
Is soil mapping consistently applied to landscapes across the major land resource area?
Does the use of features and symbols reflect current definitions and follow standards on the Feature and Symbol Legend for Soil Survey, NRCS-SOI-37A?
Will this map unit require extensive revision (remapping)?
Part E. Evaluation of map unit interpretations (subcategory “interpretation”)
Address the interpretation issues within the survey manuscript.
Identify interpretation join issues of similar map units across survey boundaries.
Exhibit 610-5 Example of a Project Evaluation Ranking Procedure
Rank each factor from 1 to 3, with 1 being low and 3 being high. Determine the overall priority ranking from the key at the end.
A. Scientific Merit. How important is the project for soil science and the soil resource inventory? Examples: updating or investigating taxonomic classifications, revising series concepts, updating or correcting pedon descriptions, sampling to fill data voids for series.
Little or no scientific merit
Some merit; minor changes to benchmark soils; changes to soils of small extent, etc.
High merit; major advances in scientific knowledge about benchmark soils
B. Agency Merit. How important is the project for programs of NRCS and their partners? Included are all the Farm Bill programs, conservation planning, State cost-share, etc. Examples: K factors (affecting HEL and CRP), hydric soils (wetlands), prime farmland issues, suitability groups.
Little or no scientific merit
Minor or incidental effects on some properties or areas of concern; affects one or more programs in a minor way
Significant revision to properties of benchmark soils used in programs or areas of significant concern to conservation efforts; affects several programs or has a major impact on one or more programs
C. External Merit. How important is the project for external customers, either government or private?
Little or no interest from external customers
Some effect on soil survey users or agencies; one user group impacted
Major impact on land use planning, interpretations, or agency programs or lands; more than one user group impacted
D. Financial/Partnership Inputs. Are there inputs from other sources or partners, such as funding, staffing, equipment, or technical support?
Little or no partnership involvement
Some commitment of staff time, equipment, and/or technical support; one partner involved
Major commitment of staff time and equipment and/or financial support; more than one partner involved; strong support or guidance needed from NRCS or partner administration
E. Synergy. Does the project serve or support another project or proposal?
None at all
Some advantage to another project
Closely related to another project; significantly improves the efficiency of both projects
F. Deficiencies in County Soil Surveys. Does the project address deficiencies identified in the inventory and assessment and/or digital flags?
No deficiencies previously noted; affects newer surveys with five-digit numbers
Minor deficiencies are addressed; affects published surveys with mnemonic symbols (e.g., 27B, MeB)
Significant deficiencies in the existing soil surveys are addressed; affects “out-of-date” surveys
G. Efficiency. How much “bang for the buck” is in this project? Evaluate, in part, on the ratio of acreage affected to time required to complete.
Low; lots of work for a few acres (e.g., < 300 acres / person-day, few and minor NASIS changes per person-day)
Moderate; reasonable return for the labor (e.g., 300 to 1000 acres / person-day, numerous NASIS changes per person-day, etc.)
High; big changes with little effort (e.g., >1000 acres / person-day, major NASIS revisions per person-day, etc.)
1) If G = 3 and D = 3 and two or more of A or B or C or F = 3 or if score = 3 on three of A, B, C, or F, then Priority = High
2) If D = 1 and G = 1 and none = 3 and composite score < 11, then Priority = Low
3) All other, Priority = Medium
Exhibit 610-6 Project Plan Checklist
The Project Plan is a NASIS report that presents the data entered into the NASIS Project Object. For projects yet approved, the Project table data, consisting of the Project name, Project Description, Project Approval, MLRA Soil Survey Office, and State Responsible, are the only fields necessary to populate. Once approved, the entire Project Object is populated. This exhibit provides a checklist of NASIS populated fields:
Project name: The project name begins with the MLRA followed by a space, a dash, and another space (e.g., MLRA 133B – Cahaba fine sandy loam, 1 to 3 percent slopes).
Project Description: This free form text field is used to document the project purpose. The description should be considered an “executive summary” containing the “who, what, when, why, and how” information on the project. Items that should be considered when writing are:
A statement focused on the problem to be answered by the project completion
An emphasis on database population, correlation, and documentation
A deliverable product
Justification and Significance
Based on inventory and assessment and priorities from the long-range plan
Address the needs of the majority of users
How the project improves the current product, such as attribute data, spatial data, and/or soil survey interpretations
Emphasize soil-landscape relationships
Assess the effect on benchmark and associated soils
Determine acreage and extent
Diagrams and illustrations that help define the project area can be used as supplements as desired
Setting, such as climate, geology, landscapes, land use, dominant vegetation, and soils; may also include water and additional biological, mineral, or other resources
Soil series and their classification and map unit phases
Identify issues from the review of historical and existing data by NCSS members
Benefit(s) to the soil survey program include the following examples (the list is not exclusive):
Scientific: refinement of series concept or establishment of new series; fills data voids in attributes or documentation; update taxonomic classifications; consistent geographical distribution of map units; map units correctly follow natural landforms and imagery
External: better interpretations to meet user needs; uses support from partners or other disciplines
Internal: complete population of tabular data used in Farm Bill programs, conservation planning, and other agency or cooperator needs
Synergy: wider application of data to support other projects or in multiple soil survey areas
Efficiency: improve the ratio of acreage affected to time required to complete project
Correction of deficiencies: items identified in the inventory and assessment have been addressed; joins are seamless
Project Approval: The “Approved?” column is checked if approved and unchecked if not approved.
MLRA Soil Survey Office: This column is used to assign the project to a specific office.
State Responsible: Choose the State in which the MLRA soil survey office is located.
Project Mapunit table: Identify the correlated map units which will be investigated within the project. Include the provisional map unit(s) that will be created during the project. All editing is completed on the new map unit(s); original map units remain untouched.
Project Staff table: Identify all personnel whose time and/or resources will be required to complete the project. Include any Soil Survey Regional Office (SSRO) staff, the NSSC liaison, state soil scientists, vegetation specialists, etc.
Project Mapping Goal table: Populate the acre mapping goal for the project. Typically, this figure is the sum of all correlated map unit acres.
Project Land Category Breakdown table: Populate the acre assignment to the various land categories.
Project Milestone table: Identify the tasks and their scheduled start and completion dates. This table is used to manage the time table for the project.
Project Text table: Include any additional project plans or investigation plans.
Project Data Need table: Include assistance from NSSC staff, lab data, equipment, materials and supplies, technology, training, and other staff or administrative support.
Populate the Project table.
Load the Mapunit table with those map units associated with the project.
In the Mapunit table, create the new MLRA map unit designated as the project’s map unit and set the status to “Provisional.” Populate the Mapunit History table to document the creation of the new map unit.
Copy the correlation records from the historical map units and paste into the correlation table for the project’s map unit. These correlation records should be set as “Not Representative.” This links the historical map units to the new map unit.
Copy the map units from the Mapunit table and paste them into the Project Mapunit table.
Create a new data mapunit (DMU) designated as the project’s DMU and link the project’s map unit. This can be a copy-and-paste of an existing DMU deemed the most representative. Editing is only completed in the new DMU; historical DMUs remain untouched.
Upon completion of the project, the MLRA soil survey leader certifies that the quality control is completed by populating the DMU Certification History table. Notes are entered into this table to explain the project findings.
The project is sent to the SSRO, where a soil data quality specialist (SDQS) completes the quality assurance spatial and attribute review and populates the DMU Certification History table certifying the quality.
The Mapunit History table is updated and populated to reflect the project findings.
The historical map units are modified to “additional” status.
The project’s map unit(s) is modified to “correlated” status.
The project’s map unit is linked to the affected survey legends through the Legend Mapunit table.
The state soil scientist certifies that the quality control is completed for the legends by populating the Legend Certification History table.
The SDQS certifies that the quality assurance is completed for the legends by populating the Legend Certification History table.
The state soil scientist populates the new map unit symbol and map unit acres in Legend Mapunit table.
The state soil scientist populates the Legend Export Certification History table, providing customers with metadata explaining why the legend was re-exported.
The state soil scientist submits all spatial and tabular data associated with the completed project to the Soil Data Warehouse. The project is completed, and progress acres are reported.
U.S. DEPARTMENT OF AGRICULTURE Page 1
NATURAL RESOURCES CONSERVATION SERVICE 08/24/2011
MLRA - Project Mapunit Report
MLRA 131A - Commerce-Dundee
Project Acres: 76799
Project Approved? : Not Designated
Preliminary work indicated that there are a significant number of mapping units which may not be named correctly
because they do not fit current criteria for soil taxonomy and series ranges of characteristics and/or do not meet
rules for map unit composition. Soils that are misnamed may also have incorrect taxonomic classification and
associated interpretations. Work on the project has been organized to concentrate on a small group of soils across
the MLRA associated with a specific landform or similar landscape position to insure uniformity.
The Yazoo Basin of the Mississippi alluvial valley is one of the largest basins, covering 7,600 sq mi area. Most of
the Yazoo Basin area is comprised of deposits from the Holocene age Mississippi meander belts and backswamp
environments. According to Sauciers map, Deer Creek is a distributaries stream within the recent Stage 1 Mississippi
meander belt. Further east of Deer Creek, the Leland Scarp, a subtle, but distinguishing, geomorphologic feature
exists. East of this subtle rise in elevation, Sauciers maps indicate Wisconsin age valley-train and stage 3 and
stage 4 Mississippi meander belts. The 1958 Washington County soil survey states that the Dundee soils occur on old
natural levees along old streams and bayous. The OSD report states that Dundee soils are also found on low terraces
along former channels of the Mississippi River and its tributaries.
Preliminary investigation showed that soils mapped as Dundee in the Deer Creek Basin differed from the soils mapped as
Dundee east of the Leland Scarp, in age and development. There is a conflict between the actual soils on the landform
in the Deer Creek Basin and what is represented in the published manuscript and in the National Soil Information
The objective of the Deer Creek Project is to identify and separate the areas mapped as the Dundee series in the
Washington and Bolivar County soil surveys, since these soils are mapped in one region of the county as alfisols, and
as inceptisols in another region.
Stout Evans, Rachel; Terry, Willie; Mersiovsky, Edgar; Johnson, Delaney
| Milestone | Scheduled | Start Date | Scheduled | Completion |
| | Start Date | |Completion Date| Date |
| | | | | |
|Project approval date | | | | |
|Transects |10/1/2010 |9/20/2010 |1/15/2011 | |
|Gather field documentation |10/1/2010 | |2/15/2011 | |
|Soil descriptions |10/1/2010 | |5/1/2011 | |
|Summarize field documentation |1/15/2011 | |5/30/2011 | |
|QA of spatial data, initial or updates |2/1/2011 | |7/30/2011 | |
|QA of tabular data, initial or updates |2/1/2011 | | | |
|QC of tabular data, initial or updates |5/1/2011 | | | |
|QC of spatial data, initial or updates |5/1/2011 | | | |
|Edit spatial data |5/30/2011 | | | |
|Edit tabular data |5/30/2011 | | | |
| | | |
| Survey area | Map Unit Name | Map Unit |
| and Map Symbol| | Acres |
| | | |
| MS011: Cc |Commerce silt loam: Correlated | 8,855|
| MS011: Cd |Commerce silty clay: Correlated | 1,716|
| MS011: Ce |Commerce silty clay loam: Correlated | 6,341|
| : |Commerce: Provisional | |
| : |Dundee: Provisional | |
| MS011: Dk |Dundee silt loam, 3 to 7 percent slopes: Correlated | 1,189|
| MS011: Dh |Dundee silt loam,0 to 3 percent slopes: Correlated | 12,141|
| MS011: Dn |Dundee silty clay loam, 0 to 3 percent slopes: Correlated | 23,953|
| MS011: Do |Dundee silty clay loam, 3 to 7 percent slopes: Correlated | 1,594|
| MS011: Dp |Dundee silty clay loam, 7 to 10 percent slopes: Correlated | 73|
| MS011: Dm |Dundee silty clay, 0 to 3 percent slopes: Correlated | 7,156|
| MS011: Dr |Dundee very fine sandy loam, 0 to 3 percent slopes: Correlated | 13,149|
| MS011: Ds |Dundee very fine sandy loam, 3 to 7 percent slopes: Correlated | 632|
| | | |
Exhibit 610-7c Project Plan Examples
U.S. DEPARTMENT OF AGRICULTURE Page 1
NATURAL RESOURCES CONSERVATION SERVICE 08/24/2011
MLRA - Project Mapunit Report
MLRA 42 - Update of Quaternary Basaltic and Andesitic Lava Flows
Project Acres: 242354
Project Approved? : Yes
The scope of this project is to update soil map units associated with Quaternary and Tertiary Basaltic and Andesitic
Lava Flows. These lava flow map units occur in 10 counties within MLRA 42 (8-6). This project will focus on updating
the soils mapped on these basaltic parent material and lava flow landforms in Grant, Hidalgo, Luna and Dona Ana
counties. This effort will coordinate the soil map units, database and interpretations between soil survey areas and
across MLRA 42 (8-6). This will be accomplished by gathering all current documentation, collecting additional
documentation as needed and sampling map unit components for characterization data. All soil survey products submitted
for quality assurance review and certification will undergo quality control inspection prior to submission.
Progressive soil correlation will be conducted during the course of all soil survey activities. Official Soil Series
Descriptions drafted or revised by the MLRA-SSO will meet NCSS standards. All changes to map unit names and legends,
and the reasons for the changes, will be recorded in the National Soil Information System (NASIS). The update in the
project areas will produce consistency between lava flow map units scattered over a wide area of MLRA 42.
The quaternary basaltic and andesitic lava flow map units within Grant, Hidalgo, Luna and Dona Ana counties are all
shallow to basalt bedrock with overlying siliceous caps ranging from clayey to sandy. The landforms range from nearly
level lava flows to steep cinder cones with most of the acreages for this project being within Dona Ana County in the
Portrillo Basalt Field. The older, less steep cones were mapped to series, while the steeper, younger cinder cones
were mapped to the subgroup level. The steeper map unit RT is not included with this year’s project, however, this unit
was mapped in conjunction with the less steep Dona Ana map units. Since the basalt fields are difficult to traverse,
data will be collected from the RT unit when we document the map units that are part of this year’s project.
These units are dominantly used for wildlife and rangeland although some recreation occurs in some areas. Interpretations
between the join problem areas are generally consistent although some interpretations vary between join units in the
four counties. There are map unit join problems of significant acreages between Luna and Dona Ana county map units and
lesser acreages join problems between Grant and Hidalgo counties. Map units in Dona Ana County with slopes from 3 to 25
percent are joining units in Luna County with slopes ranging from 0 to 10 percent. The Luna survey also did not recognize
the sandier caps overlying basalt bedrock that was recognized in the Dona Ana Survey.
A significant reason for this project is to differentiate the age of the lava flows. Past observations have shown that
the older the lava flow, the more developed the soils are. The Akela OSD from the Portrillo Basalt Field describes
significant accumulations of calcium carbonate on rock fragments that could possible change the classification from a
Lithic Torriorthent to a Lithic Haplocalcid. These carbonate accumulations were observed at the Armendaris Lava Field,
while minimal carbonate accumulations were observed at the younger Carrizozo lava flow.
Three Official Soil Series were established during the Dona Ana County soil survey: Akela, Minlith and Aftaden. No
analytical data from the Kellogg Soil Survey Laboratory (KSSL) was collected for these series. The chemical and physical
data collected was only from the local soil survey laboratory. The above soil series will be thoroughly characterized by
the local soil survey laboratory and KSSL during this project.
Cates, Greg; Michaud, Gordon; Riggs, Justin C.; Eldridge, Austin
| Milestone | Scheduled | Start Date | Scheduled | Completion |
| | Start Date | |Completion Date| Date |
| | | | | |
|Project KSSL Investigation Plan | | | | |
|Project approval date |7/26/2011 | |7/26/2011 | |
|Complete detailed evaluation |10/1/2011 | |11/1/2011 | |
|Logistical planning |10/1/2011 | |5/1/2012 | |
|Edit tabular data |11/1/2011 | |6/1/2012 | |
|Gather field documentation |11/1/2011 | |8/1/2012 | |
|Summarize field documentation |11/1/2011 | |9/30/2012 | |
|Edit spatial data |11/1/2011 | |10/1/2012 | |
|QC of interpretation data, initial or updates|2/1/2012 | | | |
|QC of spatial data, initial or updates |2/1/2012 | | | |
|QC of tabular data, initial or updates |2/1/2012 | | | |
|QA of interpretation data, initial or updates|4/1/2012 | | | |
|QA of spatial data, initial or updates |4/1/2012 | | | |
|QA of tabular data, initial or updates |4/1/2012 | | | |
|Complete correlation activities |8/1/2012 | | | |
|Project completed date |9/30/2012 | | | |
| | | |
| Survey area | Map Unit Name | Map Unit |
| and Map Symbol| | Acres |
| | | |
| NM690: AF |Aftaden-Rock outcrop association: Correlated | 41,951|
| NM029: AG |Akela very gravelly loam, 0 to 10 percent slopes: Correlated | 12,721|
| NM029: AK |Akela very gravelly loam, 10 to 25 percent slopes: Correlated | 6,981|
| NM690: AL |Akela-Rock outcrop complex: Correlated | 87,824|
| NM029: GR |Graham cobbly clay loam, 10 to 25 percent slopes: Correlated | 6,435|
| NM023: Gr |Graham extremely rocky clay loam, 0 to 3 percent slopes: Correlated | 8,754|
| NM023: GT |Graham extremely rocky clay loam, 10 to 45 percent slopes: Correlated | 17,840|
| NM023: GO |Graham rocky clay loam, 1 to 9 percent slopes: Correlated | 13,151|
| NM690: MR |Minlith-Rock outcrop association: Correlated | 27,014|
| NM662: 51 |Rock outcrop-Graham association, 5 to 25 percent slopes: Correlated | 19,683|
| | | |
Exhibit 610-7d Project Plan Examples
> MLRA 124 - KY605 & KY043 Latham-Shelocta
This project is a continuation of the Updating Pre-taxonomy surveys need identified by Office 13-2 in 2007. The project began with delineating ridges in Boyd and Greenup Counties. Once the MLRA 124 - KY605 Minesoil Update Project has finished, we will turn our attention to the issue of reviewing the mapping of the side slopes.
MLRA 126 - OH Minesoils
This project was prompted by OH Work Planning Conference. The main concern was the mapping in the northern part of the MLRA (generally mapped as miscellaneous units), but it was decided that our office should review mine soil mapping in our area to ensure mapping was current.
MLRA 127 - Correlation of the Clifftop series in the southern extent of MLRA 127
This project focuses on recorrelation and enhancement of NASIS attribute data for all phases of consociations of the Gilpin series which are formed in residuum weathered from Pottsville Group bedrocks. The Clifftop series was established by correlation in Fayette Co., WV in 2009 and replaced the Gilpin series in that soil survey legend (WV705). This project expands the concept of the Clifftop series throughout the southern extent of MLRA 127.
MLRA 127 - Data collection in the Upper Greenbrier North watershed (ESD)
The purpose of this project is to support the development of a Red Spruce Ecological Site Description (ESD), which is a Soil Science Division priority. The project will involve validating soil map unit composition and classifying soils on steep and very steep backslopes occurring in the Chemung and Hampshire Geologic Formations in the upper Greenbrier North watershed. Soil data will be collected to support development of the Red Spruce ESD and to quantify the depth of organic soil layers and verify the presence of soils with folistic epipedons.
MLRA 127 - Recorrelation of Berks, moist phase map units in frigid areas
This project focuses on recorrelation and enhancement of NASIS attribute data for map units of Berks, moist phase, SSA WV063 (Randolph County, WV, main part) and to a lesser extent map units of Gilpin in SSA WV602 (Tucker County and part of Northern Randolph County, WV). The moist phase of the Berks series (loamy-skeletal, mixed, active, mesic Typic Dystrudepts) was correlated in areas with perudic moisture regime and frigid temperature regime in the 1982 Soil Survey of Randolph County Area, Main Part, WV. Soils with analogous parent materials, landforms, and climate regimes were correlated as members of the Gilpin series in the 1967 Soil Survey of Tucker County and part of Northern Randolph County, WV. The target map units for this project occur on summits and backslopes of Middle Mountain and, to a lesser extent, Allegheny Mountain. This project will recorrelate these soils to established soil series that have been correlated for similar landforms, parent materials, and climate regimes in recent soil survey legends. This will bring the soil mapping of these areas to more modern standards.