Official Series Description


Lab Data Summary

Aggregate lab data for the HALLANDALE soil series. This aggregation is based on all pedons with a current taxon name of HALLANDALE, and applied along 1-cm thick depth slices. Solid lines are the slice-wise median, bounded on either side by the interval defined by the slice-wise 5th and 95th percentiles. The median is the value that splits the data in half. Five percent of the data are less than the 5th percentile, and five percent of the data are greater than the 95th percentile. Values along the right hand side y-axis describe the proportion of pedon data that contribute to aggregate values at this depth. For example, a value of "90%" at 25cm means that 90% of the pedons correlated to HALLANDALE were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
152AS15_0181990-FL029-S15_018Hallandalen/aPrimary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties29.4097195,-83.1605606
154S09_0171981-FL017-S09_017Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties28.9700413,-82.6785583
155S43_0131976-FL085-S43_013Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.1608753,-80.5172424
155S31_0041982-FL061-S31_004Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.6613464,-80.3935318
155S56_005S1975FL111005Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties27.4841022,-80.4142914
155S36_001S1977FL071001Hallandale3Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties26.4790382,-81.9163132
155S36_010S1978FL071010Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties26.5388088,-81.8595581
156AS06_003S1971FL011003Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties26.0522919,-80.3406143
156AS50_026S1973FL099026Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties26.3360996,-80.2275467
156AS11_003S1987FL021003Hallandale2Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties26.1547832,-81.5545273

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the HALLANDALE soil series. Monthly precipitation (PPT) and potential evapotranspiration (PET) have been estimated from the 50th percentile of gridded values (PRISM 1981-2010) overlapping with the extent of SSURGO map units containing each series as a major component. Monthly PET values were estimated using the method of Thornthwaite (1948). These (and other) climatic parameters are calculated with each SSURGO refresh and provided by the fetchOSD function of the soilDB package. Representative water storage values (“AWC” in the figures) were derived from SSURGO by taking the 50th percentile of profile-total water storage (sum[awc_r * horizon thickness]) for each soil series. Note that this representation of “water storage” is based on the average ability of most plants to extract soil water between 15 bar (“permanent wilting point”) and 1/3 bar (“field capacity”) matric potential. Soil moisture state can be roughly interpreted as “dry” when storage is depleted, “moist” when storage is between 0mm and AWC, and “wet” when there is a surplus. Clearly there are a lot of assumptions baked into this kind of monthly water balance. This is still a work in progress.

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Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the HALLANDALE series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

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Select annual climate data summaries for the HALLANDALE series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

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Geomorphic description summaries for the HALLANDALE series and siblings. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. Proportions can be interpreted as an aggregate representation of geomorphic membership. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Small Shannon entropy values suggest relatively consistent geomorphic association, while larger values suggest lack thereof. Source: SSURGO component records .

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There are insufficient data to create the 3D mountains figure.

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Click the image to view it full size.

Competing Series

Soil series competing with HALLANDALE share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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Select annual climate data summaries for the HALLANDALE series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

There are insufficient data to create the annual climate figure.

Geomorphic description summaries for the HALLANDALE series and competing. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Proportions can be interpreted as an aggregate representation of geomorphic membership. Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Shannon entropy values close to 0 represent soil series with relatively consistent geomorphic association, while values close to 1 suggest lack thereof. Source: SSURGO component records .

There are insufficient data to create the 2D hillslope position figure.

There are insufficient data to create the 3D hills figure.

There are insufficient data to create the 3D mountains figure.

There are insufficient data to create the 3D terrace figure.

There are insufficient data to create the 3D flats position figure.

Soil series sharing subgroup-level classification with HALLANDALE, arranged according to family differentiae. Hovering over a series name will print full classification and a small sketch from the OSD. Source: snapshot of SC database .

Block Diagrams

No block diagrams are available.

Map Units

Map units containing HALLANDALE as a major component. Limited to 250 records.

Map Unit Name Symbol Map Unit Area (ac) Map Unit Key National Map Unit Symbol Soil Survey Area Publication Date Map Scale
Hallandale fine sand, 0 to 2 percent slopes123305013898772tzx4fl60619811:20000
Hallandale-Urban land complex13393113898781hn8sfl60619811:20000
Hallandale sand, slough2329015857771q743fl61619931:15840
Hallandale fine sand68241191245422622fl61820071:15840
Hallandale fine sand, slough74881191245322621fl61820071:15840
Rattlesnake Ridge-Shark Valley-Hallandale complex, 0 to 1 percent slopes, frequently flooded231178633395248315hyfl62220231:24000
Hallandale-Lostmans fine sands, 0 to 1 percent slopes, frequently flooded131057493395237315hkfl62220231:24000
Hallandale-Boca fine sands, 0 to 1 percent slopes, frequently flooded12173573395236315hjfl62220231:24000
Hallandale fine sand-Urban land complex, 0 to 2 percent slopes34469031163962zldmfl68619891:24000

Map of Series Extent

Approximate geographic distribution of the HALLANDALE soil series. To learn more about how this distribution was mapped, or to compare this soil series extent to others, use the Series Extent Explorer (SEE) application. Source: generalization of SSURGO geometry .