{ "currentVersion": 10.91, "cimVersion": "2.9.0", "serviceDescription": "Playa datasets like this one are put to use by the Playa Lakes Joint Venture and other conservation organizations for habitat assessment and targeting conservation projects to better support bird populations. Playas are one of the most numerous wetland types in the Playa Lakes Joint Venture region. Playas are shallow, depressional wetlands that are generally round and small in size. They have clay-lined basins and naturally fill with water periodically from rainfall and its associated runoff. Precipitation is inconsistent in the PLJV region and drought is a common occurrence. The resulting wet-dry cycle of playas produces a highly diverse plant community. When wet, playas provide much needed seeds and invertebrates so migrating birds reach their breeding grounds in better condition. Likewise, birds that overwinter in the region have a better chance of success when playas are allowed to function naturally. Playa lakes may be the most important wetland habitat type for birds in this region. Playas are also thought to be primary sources of aquifer recharge. For more information visit .\n\nThis data layer 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. Please explore NWI playas in this dataset to view examples of NWI playa delineation. ", "mapName": "Probable Playas in Kansas", "description": "The dataset was developed to build an account of playas in the Playa Lakes Joint Venture Region for landscape planning purposes. Playa datasets like this one are put to use by the Playa Lakes Joint Venture and other conservation organizations for habitat assessment and targeting conservation projects to better support bird populations. Playas are one of the most numerous wetland types in the Playa Lakes Joint Venture region. Playas are shallow, depressional wetlands that are generally round and small in size. They have clay-lined basins and naturally fill with water periodically from rainfall and its associated runoff. Precipitation is inconsistent in the PLJV region and drought is a common occurrence. The resulting wet-dry cycle of playas produces a highly diverse plant community. When wet, playas provide much needed seeds and invertebrates so migrating birds reach their breeding grounds in better condition. Likewise, birds that overwinter in the region have a better chance of success when playas are allowed to function naturally. Playa lakes may be the most important wetland habitat type for birds in this region. Playas are also thought to be primary sources of aquifer recharge. For more information visit .\n\nThis data layer 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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Playa datasets like this one are put to use by the Playa Lakes Joint Venture and other conservation organizations for habitat assessment and targeting conservation projects to better support bird populations. Playas are one of the most numerous wetland types in the Playa Lakes Joint Venture region. Playas are shallow, depressional wetlands that are generally round and small in size. They have clay-lined basins and naturally fill with water periodically from rainfall and its associated runoff. Precipitation is inconsistent in the PLJV region and drought is a common occurrence. The resulting wet-dry cycle of playas produces a highly diverse plant community. When wet, playas provide much needed seeds and invertebrates so migrating birds reach their breeding grounds in better condition. Likewise, birds that overwinter in the region have a better chance of success when playas are allowed to function naturally. Playa lakes may be the most important wetland habitat type for birds in this region. Playas are also thought to be primary sources of aquifer recharge. For more information visit .\n\nThis data layer 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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