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                  <gco:CharacterString>Entity and Attribute Overview: In general, three datasets were used to evaluate the potential for wetland restoration. First, land cover was narrowed to crop and pasture lands. Second, a wetness index was used to identify areas more likely, due to topography, to be wet enough to support wetlands. Third, soil types were narrowed down to poorly and very poorly drained soils. These three layers were then combined and divided, as applicable, into four classes: high, moderate, low, and no evident potential. Agricultural lands with higher wetness potential and a higher percentage of poorly or very poorly draining soils were considered to have the highest wetland restoration potential. Agricultural lands with higher wetness potential and a present, but lower percentage of poorly or very poorly draining soils were considered to have moderate potential. Agricultural lands with a high percentage of poorly or very poorly draining soil, but a lower wetness value, were considered to have some/low potential. All other land had no evident potential. Of note, agricultural land cover was incorporated into this dataset. Another layer, Potential Wetland Areas (PWA), is also available in the EnviroAtlas without the land cover qualification to allow end users more flexibility in their analyses. Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets</gco:CharacterString>
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                        <gco:CharacterString>2. Evaluated potentially suitable land cover (agricultural land) - The National Land Cover Database (NLCD) is a 30-meter gridded estimation of land cover, such as water bodies and developed land, across the U.S. based on satellite imagery. Restoration on agricultural land is typically less costly than equivalent restoration projects on developed lands and may also qualify for financial support through U.S. Department of Agriculture (USDA) programs, such as the Wetland Reserve Program (WRP). For the PRW-Ag dataset, the NLCD's Pasture/Hay (81) and Cultivated Crops (82) were considered potentially suitable.</gco:CharacterString>
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                        <gco:CharacterString>3. Evaluated potentially suitable wetness (CTI &gt;= 900) - The Compound Topographic Index (CTI) produced wetness values (82 to 3371) related to the upstream contributing area and slope to overland flow and accumulation. An evaluation of NLCD wetlands and National Wetland Inventory (NWI) Lacustrine and Palustrine wetlands in Georgia and Iowa showed that CTI values &gt;= 900 captured the majority of wetlands. Based on these results, a CTI threshold of 900 was used for the PRW-Ag dataset.</gco:CharacterString>
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                        <gco:CharacterString>4. Evaluated potentially suitable soils (poorly and very poorly drained) - Two maps were combined to create a contiguous U.S. soils map - the Soil Survey Geographic dataset (SSURGO) and the Digital General Soil Map of the U.S. (or State Soil Geographic (STATSGO2)). Among the attributes in this data are variably-sized mapping units (polygons) and accompanying soil drainage types, expressed as a percentage of the whole. Soil drainage types range from excessively drained to very poorly drained. Two soil types, poorly and very poorly drained soils, are conservatively considered to be more amenable to wetland restoration. The SSURGO vector (polygon) data were converted into a 30 meter grid (raster). The poorly and very poorly drained grids were summarized (with Raster Calculator) for a total estimate of potential poorly or very poorly drained soils (PVP) value per mapping unit. A preliminary analysis of the PVP layer showed a strong bimodal distribution of PVP. This suggested that PVP generally either dominated the soil composition or was only a minor portion of the area. Because of this bimodal distribution, the PVP was divided into two levels of potential suitability, 1-79% and 80-100%.</gco:CharacterString>
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                        <gco:CharacterString>5. Combined the potentially suitable layers - The potentially suitable land cover, wetness, and soils layers were combined into a single layer (added together with Raster Calculator). The results were then reclassed, as applicable, into the final classes: high potential (pixels with ag land, CTI &gt;= 900, and 80-100% PVP were reclassed to 3), moderate potential (pixels with ag land, CTI &gt;= 900, and 1-79% PVP were reclassed to 2), low potential (pixels with ag land, 80-100% PVP, and CTI &lt; 900 were reclassed to 1), and none evident (all other pixels [non-ag land; 0% PVP; or ag land, 1-79% PVP, and CTI &lt; 900] were reclassed to 0). In other words, agricultural land with a higher likelihood to accumulate water through topography and poor drainage has a higher potential for wetland restoration.</gco:CharacterString>
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