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SR0085869_SSNL
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2600 - Land Use Program
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SR0085869_SSNL
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Last modified
11/3/2022 9:17:58 AM
Creation date
11/3/2022 9:15:21 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2600 - Land Use Program
FileName_PostFix
SSNL
RECORD_ID
SR0085869
PE
2602
FACILITY_NAME
14501 W SCHULTE RD
STREET_NUMBER
14501
Direction
W
STREET_NAME
SCHULTE
STREET_TYPE
RD
City
TRACY
Zip
95377
APN
20925010
ENTERED_DATE
10/5/2022 12:00:00 AM
SITE_LOCATION
14501 W SCHULTE RD
P_LOCATION
99
P_DISTRICT
005
QC Status
Approved
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EHD - Public
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Custom Soil Resource Report <br />scientists classified and named the soils in the survey area, they compared the <br />individual soils with similar soils in the same taxonomic class in other areas so that <br />they could confirm data and assemble additional data based on experience and <br />research. <br />The objective of soil mapping is not to delineate pure map unit components; the <br />objective is to separate the landscape into landforms or landform segments that <br />have similar use and management requirements. Each map unit is defined by a <br />unique combination of soil components and/or miscellaneous areas in predictable <br />proportions. Some components may be highly contrasting to the other components <br />of the map unit. The presence of minor components in a map unit in no way <br />diminishes the usefulness or accuracy of the data. The delineation of such <br />landforms and landform segments on the map provides sufficient information for the <br />development of resource plans. If intensive use of small areas is planned, onsite <br />investigation is needed to define and locate the soils and miscellaneous areas. <br />Soil scientists make many field observations in the process of producing a soil map. <br />The frequency of observation is dependent upon several factors, including scale of <br />mapping, intensity of mapping, design of map units, complexity of the landscape, <br />and experience of the soil scientist. Observations are made to test and refine the <br />soil -landscape model and predictions and to verify the classification of the soils at <br />specific locations. Once the soil -landscape model is refined, a significantly smaller <br />number of measurements of individual soil properties are made and recorded. <br />These measurements may include field measurements, such as those for color, <br />depth to bedrock, and texture, and laboratory measurements, such as those for <br />content of sand, silt, clay, salt, and other components. Properties of each soil <br />typically vary from one point to another across the landscape. <br />Observations for map unit components are aggregated to develop ranges of <br />characteristics for the components. The aggregated values are presented. Direct <br />measurements do not exist for every property presented for every map unit <br />component. Values for some properties are estimated from combinations of other <br />properties. <br />While a soil survey is in progress, samples of some of the soils in the area generally <br />are collected for laboratory analyses and for engineering tests. Soil scientists <br />interpret the data from these analyses and tests as well as the field -observed <br />characteristics and the soil properties to determine the expected behavior of the <br />soils under different uses. Interpretations for all of the soils are field tested through <br />observation of the soils in different uses and under different levels of management. <br />Some interpretations are modified to fit local conditions, and some new <br />interpretations are developed to meet local needs. Data are assembled from other <br />sources, such as research information, production records, and field experience of <br />specialists. For example, data on crop yields under defined levels of management <br />are assembled from farm records and from field or plot experiments on the same <br />kinds of soil. <br />Predictions about soil behavior are based not only on soil properties but also on <br />such variables as climate and biological activity. Soil conditions are predictable over <br />long periods of time, but they are not predictable from year to year. For example, <br />soil scientists can predict with a fairly high degree of accuracy that a given soil will <br />have a high water table within certain depths in most years, but they cannot predict <br />that a high water table will always be at a specific level in the soil on a specific date. <br />After soil scientists located and identified the significant natural bodies of soil in the <br />survey area, they drew the boundaries of these bodies on aerial photographs and <br />
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