Check Soil Maps Before Offering to Buy Deer Land

Before making an offer, get the federal soil map available at no cost. Use it to judge growing potential rather than predict antler measurements. Better nutrition eliminated a 25-inch difference in antler scores across soil regions during Mississippi State's trials. Those regions covered broad areas, however, and the researchers tested no soil rating for individual parcels. We combined useful Web Soil Survey layers with county percentages for crops and forest calculated from Cropland Data Layer data. That puts information about the property’s soils alongside information about surrounding land.

Researchers at Mississippi State's deer research lab, working with the state’s wildlife agency, collected pregnant does from the Delta, Thin Loess and Lower Coastal Plain. Their fawns received one shared, high-quality diet. Wild bucks harvested in the Delta at age 3 weigh about 180 pounds and have antler scores of about 113 inches. For those harvested at the same age in the Lower Coastal Plain, body weights are about 140 pounds and antler scores are about 90 inches. The publication gives the differences as 41 pounds and 25 inches. Spring forage protein and soil phosphorus decline along the same regional ranking.

Across the three regions, first-generation bucks receiving that diet grew bodies and antlers about 6 percent bigger than those of wild bucks. Improvement varied, though: weights for Lower Coastal Plain animals and antler scores for Delta animals barely changed. Mothers raised on the diet produced second-generation bucks whose Lower Coastal Plain gains reached 36 pounds and 28 inches. According to the publication, two generations receiving improved nutrition allowed bucks from both Lower Coastal Plain and Thin Loess to match the size of wild bucks from the Delta.

The publication connects those regional differences to both soil quality and land use. Agriculture occupies extensive Delta acreage, while Lower Coastal Plain land supports timber production. There, thick tree cover blocks sunlight needed by forage. Sample sizes are absent from the publication. The lab describes the response as epigenetic: nutrition altered gene expression while leaving DNA unchanged. That explanation belongs to the lab; our purchase guidance does not rely on it. The publication also cautions that a population’s response requires consistently improved nutrition over 5 to 10 years.

These three soil regions in Mississippi encompass broad areas, and capture locations were spread across sites within each region. For a buyer, the trials show that a poor region does not impose a genetic limit on growth. They leave an individual parcel’s growing potential unanswered because the publication includes no soil ratings at that scale.

Web Soil Survey provides more detailed geography. Under its Soil Map tab, mapped soils appear as named units accompanied by written descriptions. That information addresses a more limited question than the buyer ultimately wants resolved. It identifies growing potential and limitations, which still matter before signing a purchase agreement.

USDA’s Natural Resources Conservation Service operates Web Soil Survey. The agency identifies the service as the single authoritative source for soil survey information and says its maps and data cover more than 95 percent of the nation's counties.

Start by outlining an area of interest over the property. The Soil Map tab displays soil units and descriptions. For maps of properties and suitability, switch to Soil Data Explorer. A printable report comes through Shopping Cart. NRCS cautions that certain applications, including assessments of soil quality, require investigation onsite.

Use the first five table rows as a group. Farmland classification identifies the best crop-growing soils. Flooding frequency, slope, drainage class and water-table depth reveal constraints on that potential. With those layers overlaid, look for flat, dry units whose flooding class stays low during the months you plan to plant. Those become planting candidates.

Under NRCS’s definitions for soil surveys, Occasional flooding means an annual chance of 5 to 50 percent. Frequent flooding means an annual chance exceeding 50 percent. Exclude units in either category from your plot candidates. Rare flooding, defined as 1 to 5 percent, calls for a field inspection.

These checks do not establish that planting is possible. Inspect the candidate acreage on foot before including it in your count. If possible planting acreage represents only a small portion of deeded acreage, the listing has less food-plot potential than its deeded size implies. Use the last three rows to sharpen that assessment, and confirm pH through laboratory testing of soil from the precise planting location.

Extensive agriculture in the Delta and timber production as the leading Lower Coastal Plain land use are both described in the Mississippi publication. Those differences extend outside property boundaries, beyond what a soil map can show.

For that information, USDA provides Cropland Data Layer at no cost through the CroplandCROS application and CDL viewer operated by NASS. Pixel dimensions were 30-meter through 2023 and became 10-meter from 2024 onward. NASS identifies agricultural categories as the layer’s strong point. Major crop classifications normally achieve 85% to 95% accuracy, while pasture and grass classifications have historically performed with very low accuracy. Categories outside crops rely on the USGS land-cover database. Put confidence in its corn and soybean mapping, with greater caution for pasture and forest.

Our county-level tally covers Illinois, Iowa, Kansas, Missouri, Ohio and Wisconsin. For the median county, corn and soybeans cover 59% in Illinois and 67% in Iowa. The corresponding shares are 16% for Kansas, 18% for Missouri, 21% for Wisconsin and 27% for Ohio. Forest coverage at the county median measures 4% for Kansas, 5% for Iowa, 14% for Illinois, 25% for Ohio, 28% for Missouri and 31% for Wisconsin.

Variation within a state can be substantial. Corn and soybean coverage ranges from 0% to 77% among Missouri counties. Among Ohio counties, the central 80% have coverage ranging from 1% to 68%. County figures indicate the neighboring land use you should expect. Examining the layer around an individual parcel across several recent years identifies the neighbors actually present.

A prime-farmland designation does not measure deer abundance. In our five-state harvest paper, counties containing greater forest coverage tended to record higher deer harvests per square mile during 2020 to 2024. For this guide, we repeated the rank-correlation calculation using forest coverage. Results were +0.92 for Iowa, +0.86 for Illinois, +0.76 for Ohio, +0.52 for Missouri and +0.29 for Wisconsin. Deer harvest registrations per square mile reflect access and hunting effort alongside animal abundance. These relationships apply at the county level rather than to individual properties.

One extension publication supplies the Mississippi measurements. Because its figures use rounded values, the bars carry the label "about". Its stated differences of 41 pounds and 25 inches slightly exceed what those rounded measurements imply.

NRCS column descriptions supply the quotations in the layer table. Menu directions follow the Web Soil Survey guide for Soil Data Explorer. We supplied the interpretation in the final column. That guide omits state-specific and local interpretations added in some locations.

We calculated the county percentages from the 2023 layer, selecting it for coverage of 578 out of 581 county-equivalents. The omitted places are Missouri’s Ste. Genevieve County and St. Louis City, plus Wisconsin’s Menominee County. Each percentage uses the county’s mapped area as its denominator, including inland water. It therefore measures mapped-area coverage rather than land coverage.

Our search found no soil table in either the site’s hunting and fishing database, containing 26 tables, or its data catalog, containing 35 tables. Across the sources we reviewed, none connected antler score with an individual soil map unit.

Soil mapping identifies growing potential and its limitations. Before offering, tally possible planting acreage. Before relying on the surrounding land, check whether adjoining ground carries crops or timber.

Outline your area of interest, then examine slope, flooding frequency, farmland classification, water-table depth and drainage class. Mark the units that are flat and dry, with low flooding classifications during your planting months. Total their acreage as planting candidates.

Next, inspect Cropland Data Layer around the property across several past years. Record adjoining land uses and the extent of timber canopy. Visit the candidate acreage on foot, then collect soil for a laboratory test where you would plant.

Base your price on possible planting acreage, cover and access. Consider a prime-farmland designation valuable for food plots or leasing ground to a farmer. Our source review found nothing connecting that designation with buck size. The food plot layout guide demonstrates the surrounding-land check using an actual property.