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                        <gco:CharacterString>2. Selected 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 contiguous 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 restoration program (WRP). For the PRW-Ag dataset, the NLCD's Pasture/Hay (81) and Cultivated Crops (82) were reclassed to potentially suitable (3).</gco:CharacterString>
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                        <gco:CharacterString>3. Selected potentially suitable wetness (CTI &gt;= 550) - The Compound Topographic Index (CTI) produced wetness values (-249 to 3063) 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;= 550 captured the majority of wetlands. For the PRW-Ag dataset, CTI &gt;= 550 were reclassed as potentially suitable (5).</gco:CharacterString>
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                        <gco:CharacterString>4. Selected 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 and their 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 amendable to wetland restoration. The SSURGO vector or polygon data were converted into a 30 meter grid (raster). The poorly and very poorly drained grids were summed (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 reclassed into two levels of potential suitability. For the PWA dataset, estimates of 1-79% PVP were reclassed to 10 and estimates of 80-100% were reclassed to 20.</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 (28 [ag land, CTI &gt;= 550, and 80-100% PVP] was reclassed to 3), moderate potential (18 [ag land, CTI &gt;= 550, 1-79% PVP] was reclassed to 2), low potential (23 [ag land, 80-100% PVP, CTI &lt; 550] was reclassed to 1), and none evident (all other cells [non-ag land; 0% PVP; or ag land, 1-79% PVP, and CTI &lt; 550] 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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