20230517 16433700 1.0 FALSE SCNonNative 002 Projected GCS_NAD_1983_2011 Linear Unit: Foot_US (0.304801) NAD_1983_2011_StatePlane_California_III_FIPS_0403_Ft_US <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_2011_StatePlane_California_III_FIPS_0403_Ft_US",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6420]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103005</WKID><LatestWKID>6420</LatestWKID></ProjectedCoordinateSystem> 20241006 13365700 20241006 13365700 50000 5000 ItemDescription Esri ArcGIS 13.3.0.52636 Santa Cruz - Santa Clara Fine Scale Vegetation Map Selected invasive species plant layers for Santa Cruz and Santa Clara County from the fine scale vegetation map <div style='text-align:Left;'><div><div>This feature layer of Invasive species within Santa Cruz and Santa Clara County was queried from the Fine Scale Veg Map. <a href='https://tukmangeospatial.egnyte.com/dl/DvNTI67dWG' rel='nofollow ugc'>Santa Cruz and Santa Clara Fine Scale Vegetation Map Datasheet.pdf</a><h4>Query Process and Criteria</h4>The selection of invasive species classes was based on known invasive vegetation types in Santa Cruz and Santa Clara County and their representation within the Fine-Scale Pacific Vegetation Map dataset. The following steps were taken to query and approximate these invasives in the dataset:<ol><li>Identification of Key Fields:<ul><li>Queries were structured around the <code>MAP_CLASS</code> and <code>ENHANCED_LIFEFORM</code> fields in the Fine-Scale Pacific Vegetation Map dataset, which contain classifications of vegetation types and lifeforms. These fields were chosen to capture the invasive vegetation most relevant to the county.</li></ul></li><li>Included Alliances and Associations: The following alliances and associations were selected for their relevance to invasive species in Santa Cruz County:<ul><li>Forest and Ruderal Tree Types:<ul><li>Hesperocyparis macrocarpa Ruderal Semi-Natural Association: Represents Monterey cypress (Hesperocyparis macrocarpa) in disturbed areas.</li><li>Pinus radiata Plantation Provisional Semi-Natural Association: Captures areas with planted Monterey pine (Pinus radiata).</li><li>Eucalyptus (globulus, camaldulensis) Provisional Semi-Natural Association: Represents stands dominated by non-native Eucalyptus species.</li></ul></li><li>Shrub and Ruderal Grassland Types:<ul><li>Cytisus scoparius – Genista monspessulana – Cotoneaster spp. Semi-Natural Alliance: Includes Scotch broom (Cytisus scoparius), French broom (Genista monspessulana), and Cotoneaster species.</li><li>Conium maculatum – Foeniculum vulgare Semi-Natural Alliance: Represents areas dominated by poison hemlock (Conium maculatum) and fennel (Foeniculum vulgare).</li><li>Cortaderia (jubata, selloana) Semi-Natural Alliance: Includes pampas grass species (Cortaderia jubata and Cortaderia selloana).</li></ul></li><li>Herbaceous and Grassland Types:<ul><li>Brassica nigra – Centaurea (solstitialis, melitensis) Semi-Natural Alliance: Represents black mustard (Brassica nigra) and yellow starthistle (Centaurea solstitialis).</li><li>Lolium perenne Semi-Natural Alliance: Stands of perennial ryegrass (Lolium perenne).</li><li>Non-native Herbaceous and Non-native Shrub categories: These broader classes represent non-native vegetation where specific invasive species were not individually identified.</li></ul></li></ul></li><li>Limitations and Exclusions: Despite attempts to capture all key invasive vegetation types, certain specific alliances and associations were not represented in the dataset due to classification constraints. Notable exclusions include:<ul><li>Grass species and associations such as Avena spp., Bromus spp., Brachypodium distachyon, and Briza maxima.</li><li>Specific invasive herbaceous types, including Cynosurus echinatus, Carduus pycnocephalus, and Raphanus sativus.</li><li>These limitations reflect the dataset’s structure, which does not include fine-scale distinctions for some invasive herbaceous species.</li></ul></li></ol>This layer should be used with an understanding of its limitations in representing the full range of invasive species in Santa Cruz County. It provides a general approximation of invasive vegetation presence, but specific invasive species may be underrepresented due to the limitations of the Fine-Scale Pacific Vegetation Map dataset.</div></div></div> Santa Cruz Santa Clara Fine Scale Vegetation Map Veg Map Fine Scale San Mateo County Resource Conservation District, CALFIRE, Santa Cruz Mountains Stewardship Network, Midpeninsula Regional Open Space District, County of Santa Cruz, Tukman Geospatial LLC File Geodatabase Feature Class dataset EPSG 8.2.10(10.3.1) 0 Simple FALSE 0 TRUE TRUE SCNonNative Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. OID_COPY OID_COPY Integer 4 0 0 MAP_CLASS Fine Scale Map Class in 2020 String 255 0 0 ABBRV Fine Scale Map Class Abbreviation in 2020 String 255 0 0 ENHANCED_LIFEFORM Enhanced Lifeform in 2020 String 255 0 0 ABS_COVER % Veg Returns > 15 Feet in 2020 Integer 4 0 0 REL_CON_COV Relative % Conifer Cover in 2020 Integer 4 0 0 REL_HDW_COV Relative % Hardwood Cover in 2020 Integer 4 0 0 CON_COVER Absolute % Conifer Cover in 2020 Integer 4 0 0 HDW_COVER Absolute % Hardwood Cover in 2020 Double 8 0 0 SHB_COVER Absolute % Shrub Cover in 2020 Integer 4 0 0 STAND_HT_MN Mean lidar Stand Height (ft.) in 2020 Integer 4 0 0 STAND_HT_MX Maximum lidar Stand Height (ft.) in 2020 Integer 4 0 0 STAND_HT_MD Median lidar Stand Height (ft.) in 2020 Integer 4 0 0 STAND_HT_SD Standard Deviation lidar Stand Height (ft.) in 2020 Integer 4 0 0 IMPERVIOUS % Impervious in 2020 Integer 4 0 0 PERVIOUS % Pervious in 2020 Integer 4 0 0 PAVED_RD % Paved Road in 2020 Integer 4 0 0 DIRT_RD % Dirt or Gravel Road in 2020 Integer 4 0 0 OTHER_IMPERV % Other Impervious in 2020 Integer 4 0 0 BUILDINGS % Buildings in 2020 Integer 4 0 0 STAND_DEAD % Standing Dead Over 7ft. in 2020 Integer 4 0 0 URB_WINDOW Santa Clara County Urban Window String 255 0 0 COUNTY County String 255 0 0 SOURCE Fine Scale Label Source String 255 0 0 ACRES Acres Double 8 0 0 ULT_MAFIC_OVERLAP % Ultramafic Overlap Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20241006 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