Description: Traffic congestion data for roadway segments in the tahoe basin. This dataset represents the roadway segments for which we monitor traffic congestion. This data can be joined to the spatial 'congestion_spatial' dataset by the 'id' field.
Description: Surface and submerged littoral substrates in Lake Tahoe, CA, NV were mapped from high-resolution satellite imagery using Object-Based Image Analysis (OBIA) analysis techniques. The derived substrate classes were translated into three fish habitats classes (spawning, feed and cover, marginal) in order to evaluate the attainment status with environmental standards related to nearshore fish habitat and to improve map products used for land-use planning and regulatory purposes. The results confirm previous satellite mapping efforts that feed and cover habitats and spawning grounds are limited in distribution to distinct areas around the lake. Our results support the use of high-resolution satellite data for discriminating substrate variation at a resolution sufficient to inform regional planning. Management and land-use actions may consider additional focus on these areas to maintain Lake Tahoe littoral fish habitat characteristics.
Service Item Id: 8a0325246ab44159adbaf6e070f5becb
Copyright Text: Jarlath O’Neil-Dunne, Shane Romsos and David Saah
Spatial informatics Group, LLC
July, 2016
F:\GIS\GIS_DATA\FishHabitat\2016Update\FishHabitat
Description: Brief Methods: In version 2 of the Sierra Nevada Multi-source Meadow Polygons Compilation, polygon boundaries from the original layer (SNMMPC_v1 - https://meadows.ucdavis.edu/data/4) were updated using ‘heads-up’ digitization from high-resolution (1m) NAIP imagery. In version 1, only polygons larger than one acre were retained in the published layer. In version 2, existing polygon boundaries were split, reduced in size, or merged, and additional polygons not captured in the original layer were digitized. If split, original IDs from version 1 were retained for one half and a new ID was created for the other half. In instances where adjacent meadows were merged together, only one ID was retained and the unused ID was “decommissioned”. If digitized, a new sequential ID was assigned. AcknowledgementsTim Lindemann, Dave Weixelman, Carol Clark, Stacey Mikulovsky, Qiqi Jiang, Joel Grapentine, Kirk Evans - USDA Forest Service, Pacific Southwest Region Wes Kitlasten - U.S. Geological Survey Sarah Yarnell, Ryan Peek, Nick Santos - UC Davis, Center for Watershed Sciences Anna Fryjoff-Hung - UC Merced Meadow Polygon Attributes FieldDescriptionAREA_ACREMeadow area in acresSTATEState in which the meadow is located (CA or NV)ID*Unique meadow identifier UCDSNMxxxxxx*Note: IDs are non-sequential* HUC12Unique identifier for the Hydrologic Unit Code (HUC), level 12, in which the meadow is locatedOWNERSHIPLand ownership status (multiple sources)EDGE_COMPLEXITYGives an indication of the meadow's exposure to external conditions EDGE COMPLEXITY = (MEADOWperimeter/EAC perimeter) [EAC = Equal Area Circle]DOM_ROCKTYPEDominant rock type on which the meadow is located based on the USGS layerVEG_MAJORITYVegetation majority based on the LANDFIRE layer (GROUPVEG attribute)SOIL_SURVEYSoil survey from which SOIL_COKEY, MAPUNIT_Kf, MAPUNIT_ClayTot_r, SOIL_MUKEY, and SOIL_COMP_NAME were assigned to each meadow (SSURGO or STATSGO depending on layer coverage)SOIL_MUKEYMapunit Key: Unique identifier for the Mapunit in which the meadow is locatedSOIL_COKEYComponent Key: Unique identifier for the major component of the mapunit in which the meadow is located SOIL_COMP_NAMEComponent Name: Name of the soil component with the highest representative value in the mapunit in which the meadow is located MAPUNIT_KfK factor: A soil erodibility factor that quantifies the susceptibility of soil particles to detachment by water. Low: 0.05-0.2 Moderate: 0.25-0.4, High: >0.4MAPUNIT_ClayTot_rRepresentative value (%)of total clayCATCHMENT_AREAThe approximate area of the upstream catchment exiting through the meadow(sq. m)ELEV_MEANMean elevation (m)ELEV_RANGEElevation range (m) across each meadowED_MIN_FStopo_ROADSMinimum Euclidean Distance (m) to Forest Service Topographic Map Data Transportation Roads ED_MIN_FStopo_TRAILSMinimum Euclidean Distance (m) to Forest Service Topographic Map Data Transportation Trails ED_MIN_LAKEMinimum Euclidean Distance (m) to lake edges ED_MIN_FLOWMinimum Euclidean Distance (m) to NHD Streams/Rivers ED_MIN_SEEPMinimum Euclidean Distance (m) to NHD Seeps/Springs MDW_DEM_SLOPEMedian DEM based slope (in degrees)STRM_SLOPE_GRADELength-weighted average slope of all NHD flowline segments in each meadow. Given for meadows with flowlines. Meadows without flowlines are null for this attribute.POUR_POINT_LATLatitude of the lowest point along a flowline at which water flows out of the meadow in decimal degrees(meadow with no flowline has null value) POUR_POINT_LONLongitude of the lowest point along a flowline at which water flows out of the meadow in decimal degrees(meadow with no flowline has null value) HGM_TypeDominant meadow hydrogeomorphic (HGM) type LAT_DDLatitude of polygon centroid in decimal degreesLONG_DDLongitude of polygon centroid in decimal degreesShape_LengthMeadow perimeter in metersShape_AreaMeadow area in sq. metersDetailed Attribute Descriptions:GeologyField: DOM_ROCKTYPEData Source: USGS - https://pubs.usgs.gov/of/2005/1305/Dominant rock type was attributed to the meadow polygons based on available state geology layers. Using Zonal Statisitics in ArcGIS, the most abundant lithology in the map unit (ROCKTYPE1) was identified for each meadow. VegetationField: VEG_MAJORITYData Source: LANDFIRE - https://www.landfire.gov/version_comparison.php?mosaic=YUsing Zonal Statisitics in ArcGIS, the 2014 LANDFIRE dataset was used to attribute generalized vegetation (GROUPVEG) to the meadow polygons. SoilsFields: SOIL_SURVEY, SOIL_MUKEY, SOIL_COKEY, SOIL_COMP_NAME, MAPUNIT_Kf, MAPUNIT_ClayTot_rData Source: USDA, Natural Resources Conservation ServiceSSURGO: https://gdg.sc.egov.usda.gov/STATSGO: https://websoilsurvey.sc.egov.usda.gov/App/HomePage.htmSSURGO (1:24,000 scale) datasets were compiled for the entirety of the study area. Gaps were filled with compiled STATSGO data (1:250,000 scale). Components were assigned based on the soil component with the highest representative value in the map unit in which the meadow was located. For each component, the clay and Kf values from the top-most horizon were assigned to each meadow polygon using Zonal Statistics. Note: MAPUNIT_Kf may be null if the mapunit dominant condition is a miscellaneous area component such as Rock outcrop. Also, forested components with organic litter surface horizons will also return a null K-factor when the surface horizon K-factor is used.STATSGO does not have the detail for approximation of soil properties in the mountain meadows. The polygons are so big (Order 4) that they do not recognize the soils in the meadows as unique components, so there are no data for the meadows anywhere in those map units. As for the K and clay values for CA790 (Yosemite NP), because it is a new survey, O horizons were populated for those components. There may be a similar issue with the Tahoe Basin. NRCS does not populate the K factor for O horizons. And, at least at the time, NRCS is not populating any mineral material in the O horizons. Many NRCS national interpretations have been edited to look at the first mineral horizon and exclude the O. There is also a lot of Rock Outcrop and no horizon data are populated for those components.Slope Field: MDW_DEM_SLOPE Data Source: USGS 10m DEMThe median Digital elevation model (DEM) based slope (in degrees) was assigned via Zonal Statistics to each meadow.All meadows have a value for this attribute. Field: STREAM_SLOPE_GRADEData Source: USGS National Hydrograpy Dataset (NHD) - https://nhd.usgs.gov/data.htmlA length-weighted average slope of all NHD flowline segments was calculated within each meadow polygon. Meadows with no NHD flowline will have a NULL value for this attribute. Catchment AreaField: MDW_CATCHMENT_AREA (sq meters)Data Source: USGS NHDPlus V2, NHDPlusHydrodem- http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.phpScript Source: USGS, Wes Kitlasten; USFS, Kirk Evans, Carol ClarkUsing python scripting and the Watershed tool in ArcGIS, the area of the upstream catchment exiting through the meadow was obtained using a flow direction raster created from the NHDPlusHydrodem.Euclidean Distance Fields: ED_MIN_SEEP, ED_MIN_LAKE, ED_MIN_FLOW, ED_MIN_FSTopo_ROADS, ED_MIN_FSTopo_TRAILSData Source: USGS National Hydrograpy Dataset (NHD) - https://nhd.usgs.gov/data.htmlFSTopo - https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=FSTopoUsing the Euclidean Distance (Spatial Analyst) tool in ArcGIS, the minimum distance to each meadow was calculated for NHD Springs/Seeps, NHD Streams/Rivers (flow), NHD Waterbodies (lakes), and FS Topographic Transportation Trails and Roads. HGM Type During the mapping process, the dominant Hydrogeomorphic (HGM) type (Weixelman et al 2011) was estimated for each meadow larger than one acre. Visual inspection of NAIP 1-m resolution imagery was used in this process. DEM layers were used to estimate the landform position. The USGS hydrographic layer was used to determine locations of flowlines. Google Earth imagery was used to estimate greenness during the summer months. Meadows are often composed of more than one HGM type. In this effort, the dominant type was estimated. HGM types have not yet been estimated for Yosemite and Sequoia Kings Canyon National Parks. Types were mapped according to the following visual interpretation. Meadows adjacent to lakes or reservoirs and at nearly the same elevation as the Water bodyLacustrine Fringe (LF)1’. Not as above2Meadow sites located in an obvious topographic depression. 32’. Not as above4Sites with obvious standing water after mid-summer or vegetation remaining dark green after mid-summer. Depressional Perennial (DEPP)3’. Not as above. Sites with no standing water after mid-summer or apparently not remaining dark green after mid-summer.Depressional Seasonal (DEPS)Meadows with a flow line (using the USGS hydrographic layer) entering from above the meadow and exiting below the meadow, or meadows located in a swale or drainway ………………………………Riparian (RIP)4’. Not as above5Meadows fed by a spring or seep. No flowline entering from above the meadow. Typically occurring on hillslopes or toeslopes. In addition, the USGS DEM layer was used to look for the text label “Springs” and/or a symbol indicating a spring. Discharge Slope (DS)5’. Dry meadows without a visible flowline entering from above the meadow, vegetation greenness disappears by mid-summer. No apparent groundwater inputs from springs or seeps. May occur in a swale, drainageway, gentle hillslope, or crest. Dry (Dry)OwnershipField: OWNERSHIPData Sources by priority:USDA Forest Service Basic Ownership (OWNERCLASSIFICATION) - https://data.fs.usda.gov/geodata/edw/datasets.php?dsetCategory=boundariesNational Parks Service (UNIT_NAME) - https://irma.nps.gov/DataStore/California Protected Areas Database – CPAD (LAYER) - http://www.calands.org/Protected Area Database-US (CBI Edition) Version 2.1 (OWN_NAME) - http://consbio.org/products/projects/PAD-US-CBI-establishment-datesOwnership values were assigned to each meadow using the above priorities and Zonal Statistics in ArcGIS. Datum/Projection Projected Coordinate System: NAD_1983_California_Teale_AlbersProjection: AlbersFalse Easting: 0.00000000False Northing: -4000000.00000000Central Meridian: -120.00000000Standard Parallel 1: 34.00000000Standard Parallel 2: 40.50000000Latitude of Origin: 0.00000000Linear Unit: Meter
Service Item Id: 8a0325246ab44159adbaf6e070f5becb
Copyright Text: Weixelman, D. A., B. Hill, D.J. Cooper, E.L. Berlow, J. H. Viers, S.E. Purdy, A.G. Merrill, and S.E. Gross. 2011. Meadow Hydrogeomorphic Types for the Sierra Nevada and Southern Cascade Ranges in California: A Field Key. Gen. Tech. Rep. R5-TP-034. Vallejo, CA. U.S. Department of Agriculture, Forest Service, Pacific Southwest Region, 34 pp.
UC Davis, Center for Watershed Sciences & USDA Forest Service, Pacific Southwest Region, 2017. Sierra Nevada Multi-Source Meadow Polygons Compilation (v 2.0), Vallejo, CA, Regional Office: USDA Forest Service. 2017. http://meadows.ucdavis.edu
Description: This shapefile contains records for aquatic invasive plant control projects in the Lake Tahoe Basin Region. This dataset does not include historic infestation sites. Points are generalized and in some cases multiple small, discrete populations may be grouped as a single control site for planning logistics. Data should be interpreted with this in mind. Attributes are listed for aquatic invasive plant species detected at each location, plant (infestation) status, and management (infest) status and control methods implemented in 2019, 2020, 2021, 2022, 2023. Confirmation of species and status was obtained during contracted dive team during field visits. Development of status categories is ongoing and subject to change in future updates to this dataset. Abbreviation Definitions:EWM = Eurasian watermilfoil CLP = curly-leaf pondweedNZM = New Zealand mudsnailInvPlantSp = Aquatic Invasive Plant SpeciesContr = Control Methods DAS = diver assisted suctionSM or surveillance = surveillance monitoringSA = site assessmentMMP SA = Marina Management Plant Site Assessment (different boundary)SA w NZM = Site Assessment with addition of divers tasked with detecting NZM in survey boundary with a focus on future treatment areasInfest_Sta = This attribute describes the management status of the infestation site. This status incorporates current treatment needed, diver effort, and current funding to prioritize planning efforts and future funding. This status does not indicate the amount of plants, level of establishment, or threat level of an infestation. P1- Planning 1: "Passive" Known or possible infestation. Information regarding the location may be insufficient, access to the site may be blocked, or a funding strategy for future treatment has not yet been established. If there is a funding lapse in a control or surveillance project, those sites will be changed to this category until funding plan is resolved.P2 - Planning 2: "Active" Known infestation. Active planning and/or procurement of funds are being actively implemented. Site Assessments, coordination with land owners, Containment, marina-led maintence treatment, or pilot methods testing projects may be being implemented. Active control methods (barriers, diver-assisted suction, UV-C, or dredging) will likely be needed to treat this site. C1 - Infestation Active Control 1: Known infestation. Active control methods (barriers, diver-assisted suction, UV-C, dredging, site preparation, or methods testing) were implemented over the course of the season. C2 - Infestation Hand Removal 2: First time or previously treated control site that only required hand removal to maintain the weed-free status. Over the course of one season, surveillance visits utilizing hand removal may require substantial effort (20 diver hours) beyond the baseline expected surveillance effort. EDRR sites that are discovered and treated with only hand removal during the season will remain in this category until they are accomodated for in the Surveillance Monitoring plan. S1 - Surveillance Higher Risk 1: Previously treated control site. Over the course of one season, no more than 20 divers hours over the expected surveillance effort was required at this site to maintain weed free status.S2 - Surveillance Lower Risk 2: Historic infestation site. AIP have been treated and/or detected in this location. Consecutive surveys over the course of at least three years have shown no detections. Plant_Stat - this attribute describes the general status of the plant establishment at an infestation site. It is a binary attribute to distinguish between established infestations and infestations that have been completely treated and contain little to no plants. Established Infestation = This indicates a location where aquatic invasive plants are known to be established. This is either because it has not yet been treated, it has only been partially treated, or a high volume of plants return after treatment. It does not indicate whether control work is currently taking place at this location. Surveillance= This indicates a location where aquatic invasive plants have been previously treated. Little to minimal regrowth has been documented. Projection: NAD_1983_CORS96_UTM_Zone_11N, Transverse MercatorDatum: D_NAD_1983_CORS96
Service Item Id: 8a0325246ab44159adbaf6e070f5becb
Copyright Text: Sara Matthews, Tahoe Resource Conservation District (Tahoe RCD)
Description: Summarized secchi disk measurements over time. Includes annual average, winter average, summer average, 5 year average, and predicted water clarity measurements. Data obtained from UC Davis. Data is used for the LT-Info secchi indicator graph.
Description: Full dataset of secchi disk (water clarity) measurements over time. Data obtained from UC Davis. Data is used for the LT-Info water clarity monitoring page.