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These data are part of the Playa Decision Support System (PDSS) and are intended to help guide wind energy development away from the most ecologically valuable playas in the landscape. The data represent playa lakes prioritized for avoidance by wind energy development where priority classes range from High Very Priority to Low Priority to avoid. Very High priority playas are the most important playas to avoid impacting with wind energy development activities and infrastructure as they are likely to have the highest value to migrating waterfowl in this region. Low priority playas are the least important playas to avoid; however, this classification does not suggest these playas should be disregarded or that have no value to migrating waterfowl. ****Refer to the Playa Decision Support System User's Manual for more information on the priority classes and the appropriate interpretation and application of them. This dataset should be used in combination with the Large Isolated Playas and Playa Clusters data sets, all part of the PDSS.<\/SPAN><\/SPAN><\/P>

Playa polygons in Kansas were originally derived from the Playa lakes dataset created at KU, and were incorporated into the Probable Playas dataset (Probable_Playas_v4.shp, released by Playa Lakes Joint Venture) which depicts playas as identified through a compilation of six data sources: SSURGO soils data, National Wetlands Inventory (NWI) data, National Hydrography Dataset (NHD), analysis of Landsat TM imagery, analysis of National Agricultural Imagery Program (NAIP) imagery, and hand-delineation on aerial maps of select lands managed by The Nature Conservancy. Data source varies across the layer's extent so please refer to the [Source] field in the attribute table to identify the source of any individual playa or refer to the Supplemental Information section below for a summary of sources by state. The following data characteristics vary by source: data quality, attribute information, dates of acquisition and publication, and minimum mapping units (MMU). Please read the DATA SOURCES section below for details. **IMPORTANT NOTES: The number of features in this dataset (n=89,798) is does NOT represent the number of playas, rather the number of polygons representing playas, whole or partial. This occurs because NWI coverage often maps a single playa as multiple adjacent or nested polygons (e.g., a PEMC polygon exists within a PEMA polygon -- 2 polygons representing one playa). The [PPv4_ID] field contains unique identifiers for adjacent/nested polygons that represent a playa (e.g., nested polygons). In other words, the nested polygons have the same [PPV4_ID] value because they clearly represent a single playa. HOWEVER, if a playa is bisected by a road and is mapped as two or more separate, non-adjacent polygons, the [PPv4_ID] values are different for the polygons. 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