{ "culture": "en-US", "name": "IA_physiography_regions_2026", "guid": "258BF045-1E2F-40CB-B7BE-A415F7709BF0", "catalogPath": "", "snippet": "The Physiographic Regions Map of Iowa delineates areas of the state that share similar landforms, geologic histories, and surface processes. Its primary purpose is to provide a geographic framework for understanding how geomorphology \u2013 the physical form of the landscape \u2013 influences soil characteristics, hydrology, and land-use patterns across Iowa.\n\nEach region reflects a distinct geomorphology, defined by its origin, surface materials, relief, and topographic structure. Depositional and erosional processes, including those related to rivers, glaciers, wind, and karst activity, have formed these landscapes. These geomorphic variations affect soil properties, such as texture, drainage, and fertility, which in turn influence hydrologic dynamics, including runoff, infiltration, and groundwater flow. Consequently, landform and soil differences guide land use, with certain regions better suited for specific agricultural practices or conservation efforts.\n\nBy distinguishing these interrelated characteristics, the map supports land management, conservation planning, resource assessment, and education. It offers a unified spatial framework for interpreting Iowa\u2019s environmental diversity and integrating geological, pedological, and hydrological data in both research and applied decision-making.", "description": "

The Geospatial Laboratory for Soil Informatics at Iowa State University created this spatial dataset, combining science and art to provide a unified perspective on the landscape, integrating geology, landforms, soil, water systems, and vegetation.<\/span> To create the Physiographic Regions Map of Iowa, multiple lines of evidence were synthesized to delineate areas with similar landforms, geologic histories, soil characteristics, and hydrologic patterns. However, delineations were first created by evaluating patterns observed in terrain derivatives calculated from LiDAR-based elevation data (IDNR, 2020). Interpretation of those areas was then made in consideration of a compilation of foundational maps - including the <\/span>Outline Map of the Drift Sheets of Iowa<\/span> (Calvin, 1904), <\/span>Soils of Iowa<\/span> (Brown, 1936), <\/span>Principal Soil Associations<\/span> (Simonson et al., 1952), <\/span>Principal Soil Association Areas of Iowa<\/span> (1965), <\/span>Quaternary Geology of Iowa<\/span> (Ruhe, 1969), <\/span>Principal Soil-Association Areas of Iowa<\/span> (Fenton et al., 1971), <\/span>Landform Regions of Iowa<\/span> (Prior, 1976), <\/span>Iowa Soil Association Map<\/span> (Iowa Agriculture and Home Economics Experiment Station, 1978), <\/span>Highway Guide of Iowa Soil Associations<\/span> ((Iowa Department of Agriculture and Land Stewardship et al., 2012), and <\/span>Landform Regions of Iowa<\/span> (Iowa Geological Survey, 2017). Newer maps carried the most weight.<\/span><\/p>

Terrain derivatives, including slope gradient, profile curvature, and relative elevation, were computed from the LiDAR-derived digital elevation model (DEM) and integrated with a digital hillslope position classification (Miller and Schaetzl, 2015). Areas within Iowa\u2019s state boundary (IDNR, 2020) exhibiting similar topographic patterns were delineated and correlated with existing soil and landform knowledge. These subregions were grouped into regions by similarity. The naming of subregions utilized established nomenclature, first, and then referenced representative towns. Descriptive terms were added to subregion names based on relative relief.<\/span><\/p>

The delineated regions were evaluated for differentiation of soil properties and hydrologic behavior. Spatial statistics were applied to summarize data from existing soils (NCSS, 2025), stream networks (IDNR, 2024), and land cover maps (USDA-NASS, 2024).<\/span><\/p><\/div><\/div><\/div>", "summary": "The Physiographic Regions Map of Iowa delineates areas of the state that share similar landforms, geologic histories, and surface processes. Its primary purpose is to provide a geographic framework for understanding how geomorphology \u2013 the physical form of the landscape \u2013 influences soil characteristics, hydrology, and land-use patterns across Iowa.\n\nEach region reflects a distinct geomorphology, defined by its origin, surface materials, relief, and topographic structure. Depositional and erosional processes, including those related to rivers, glaciers, wind, and karst activity, have formed these landscapes. These geomorphic variations affect soil properties, such as texture, drainage, and fertility, which in turn influence hydrologic dynamics, including runoff, infiltration, and groundwater flow. Consequently, landform and soil differences guide land use, with certain regions better suited for specific agricultural practices or conservation efforts.\n\nBy distinguishing these interrelated characteristics, the map supports land management, conservation planning, resource assessment, and education. It offers a unified spatial framework for interpreting Iowa\u2019s environmental diversity and integrating geological, pedological, and hydrological data in both research and applied decision-making.", "title": "IA_physiography_regions_2026", "tags": [ "physiography", "soil associations", "landscapes", "quaternary geomorphology", "land use" ], "type": "Feature Service", "typeKeywords": [ "ArcGIS", "ArcGIS Server", "Data", "Feature Access", "Feature Service", "providerSDS", "Service" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -96.6849012003245, 40.3327757019453 ], [ -90.0694323739515, 43.5570185943006 ] ], "minScale": 0, "maxScale": 1.7976931348623157E308, "spatialReference": "NAD_1983_UTM_Zone_15N", "accessInformation": "Authors: Bradley A. Miller (Associate Professor, Iowa State University) and C. Lee Burras (Morrill Professor, Iowa State University)\n\nThe Department of Agronomy at Iowa State University supplied the funding needed to create this map.", "licenseInfo": "