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<div style='text-align:Left;'><div><div><div style='font-size:12pt;'><p style='margin:0 0 11;'>This map is a conglomeration of fine scale vegetation maps for San Mateo, Marin and Sonoma Counties. The San Mateo and Marin maps represent the state of the landscape in summer, 2018 (pre CZU fire). The Sonoma map represents the state of the landscape in late 2013.</p><p style='margin:0 0 11;'>The maps were combined by normalizing map class names so that map classes that represent the same (or very similar) vegetation types in each map are assigned the same fine scale map class in this unified version. Similarly, attributes that represent the same, or nearly the same information were similarly normalized. To see the original fine scale vegetation map class from the source vegetation maps, refer to the ‘Original Map Class Field.’</p><p style='margin:0 0 11;'>Note that there may be slight discrepancies between membership rules for each of the three counties, resulting in differences in mapped types. For more information on the mapping classifications and methods used for each of the individual vegetation maps, visit<span style='text-decoration:underline;'> </span><a href='https://pacificvegmap.org' target='_blank' rel='nofollow ugc noopener noreferrer'>https://pacificvegmap.org</a>.</p><p style='margin:0 0 11;'>This map also includes potential refugia data embedded into the fine scale vegetation layers (see below for attribute information) for four vegetation communities of interest - <span style='font-style:italic;'>Quercus agrifolia, Quercus kelloggii, Pseudotsuga menziesi</span>i, and <span style='font-style:italic;'>Sequoia sempervirens</span>. The refugia data is the result of the Conservation Biology paper<span style='text-decoration:underline;'> </span><a href='https://tukmangeospatial.egnyte.com/dl/VWfAOLHKql' target='_blank' rel='nofollow ugc noopener noreferrer'>Syphard and Ristigian-Romsos, 2024</a>. Potential refugia analysis and incorporation into the unified fine scale vegetation map was done by Tukman Geospatial.</p><p style='margin:0 0 11;'>The full datasheet for this product, which includes potential refugia methodology, can be accessed here:<span style='text-decoration:underline;'> </span><a href='https://vegmap.press/gg_biosphere_veg_map_datasheet' target='_blank' rel='nofollow ugc noopener noreferrer'>https://vegmap.press/gg_biosphere_veg_map_datasheet</a>.</p><p style='margin:0 0 11;'>Attributes for the unified vegetation map are shown in the table below:</p><figure><table><tbody><tr><td><p style='text-align:Center;'><b>Attribute Name</b></p></td><td><p style='text-align:Center;'><b>Attribute Alias</b></p></td><td><p style='text-align:Center;'><b>Description</b></p></td></tr><tr><td>COUNTY</td><td>County</td><td>The county.</td></tr><tr><td>MAP_CLASS</td><td>Fine Scale Map Class</td><td>Fine scale map class, usually (for woody types) at the alliance level of the Manual of California Vegetation.</td></tr><tr><td>ENHANCED_LIFEFORM</td><td>Enhanced Lifeform</td><td>A general classification of land use/land cover type useful for viewing vegetation and landcover with less floristic detail.</td></tr><tr><td>ABBREV</td><td>Fine Scale Map Class Abbreviation</td><td>Fine scale map class abbreviation.</td></tr><tr><td>ABS_COVER</td><td>% Veg Returns over 15 Feet</td><td>% of lidar returns over 15 feet by stand; a good lidar derived proxy for canopy cover.</td></tr><tr><td>REL_COV</td><td>Relative Softwood/Hardwood Cover</td><td>Relative softwood versus hardwood cover, classified into 5 bins.</td></tr><tr><td>REL_CON_COV</td><td>Relative Conifer Cover</td><td>Relative conifer cover as an integer percent (San Mateo and Marin Counties only).</td></tr><tr><td>REL_HDW_COV</td><td>Relative Hardwood Cover</td><td>Relative hardwood cover as an integer percent (San Mateo and Marin Counties only).</td></tr><tr><td>STAND_HT_MN</td><td>Stand Height Mean</td><td>Mean lidar derived stand height for each stand.</td></tr><tr><td>STAND_HT_MX</td><td>Stand Height Max</td><td>Maximum lidar derived stand height for each stand.</td></tr><tr><td>STAND_HT_SD</td><td>Stand Height Standard Deviation</td><td>Standard deviation of lidar derived stand height for each stand.</td></tr><tr><td>IMPERVIOUS_PERCENT</td><td>Percent Impervious</td><td>Percentage of impervious cover for each stand.</td></tr><tr><td>MAP_CLASS_ORIGINAL</td><td>Original Map Class</td><td>Original fine scale map class name.</td></tr><tr><td><p style='margin:7 0;'>Quality</p></td><td><p style='margin:7 0;'>Climate Refugia Quality</p></td><td><p style='margin:7 0;'>Predicted quality of climate refugia. High – all three GCM’s predict refugia; medium – two of the three GCM’s predict refugia; low – one GCM predicts refugia; N/A – no GCM’s predict refugia or map class was not included in analysis</p></td></tr><tr><td><p style='margin:7 0;'>CCSM_model_90</p></td><td><p style='margin:7 0;'>CCSM4 Model “Warmer/ Wetter”</p></td><td><p style='margin:7 0;'>‘Yes’ if the CCSM global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.</p></td></tr><tr><td><p style='margin:7 0;'>CNRM_model_90</p></td><td><p style='margin:7 0;'>CNRM-CM5 Model “Hotter/ Wetter”</p></td><td><p style='margin:7 0;'>"Yes’ if the CNRM global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.</p></td></tr><tr><td><p style='margin:7 0;'>MIROC_model_90</p></td><td><p style='margin:7 0;'>MIROC-ESM Model “Hotter/ Dryer”</p></td><td><p style='margin:0 0 11;'>"Yes’ if the MIROC global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.</p></td></tr></tbody></table></figure><p style='margin:0 0 11;'></p></div></div></div></div>
Fine Scale Vegetation Map of Marin, Sonoma, and San Mateo Counties
2017-05-19T00:00:00
2017-05-19T00:00:00
2017-05-19T00:00:00
Allison Schichtel
Sonoma County Agricultural Preservation & Open Space District
Conservation GIS Analyst
Allison.Clark@sonoma-county.org
747 Mendocino Ave, Suite 100
Santa Rosa
CA
95401
707.565.7353
Allison Schichtel
-123.539666
-122.345516
38.859930
38.098791
1
Allison Schichtel
Sonoma County Agricultural Preservation & Open Space District
Conservation GIS Analyst
Allison.Clark@sonoma-county.org
747 Mendocino Ave, Suite 100
Santa Rosa
CA
95401
707.565.7353
Sonoma CountyMarin CountySan Mateo CountyVegetationFine ScaleStandardizedUnifiedVeg MapGolden Gate BiosphereRefugia
Outlines for the unified fine scale vegetation map of the Golden Gate Biosphere, presented with normalized names and attributes as a polygon feature class. The fine scale outlines were designed to be used for displaying map class abbreviations and key attribute information.
Aerial Information Systems Inc., Conservation Biology Institute, County of Marin, County of San Mateo, Golden Gate Biosphere Network, Golden Gate National Parks Conservancy, Marin Water, MarinMap, Midpeninsula Regional Open Space District, National Park Service – Golden Gate National Recreation Area, One Tam, Peninsula Open Space Trust, San Francisco Public Utilities Commission, San Mateo Resource Conservation District, Sonoma Ag + Open Space, Sonoma Water, Tukman Geospatial LLC, USGS 3D Elevation Program
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None, publicly available</SPAN></P></DIV></DIV></DIV>
Esri ArcGIS 13.2.2.49743
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20240603
Allison Schichtel
Sonoma County Agricultural Preservation & Open Space District
Conservation GIS Analyst
Allison.Clark@sonoma-county.org
747 Mendocino Ave, Suite 100
Santa Rosa
CA
95401
707.565.7353
Allison Schichtel
File Geodatabase Feature Class
EPSG
6.13(3.0.1)
VEG_DATA_FINAL
Lifeform Classes
Sonoma Veg MAp
Feature Class
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
SHAPE
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
MAP_CLASS
Fine Scale Map Class
String
255
0
0
REL_COV
Relative Softwood/Hardwood Cover
String
255
0
0
OBJECTID_COPY_ALL
OBJECTID_COPY_ALL
Integer
4
0
0
ABS_COVER
% Veg Returns over 15 Feet
Integer
4
0
0
ENHANCED_LIFEFORM
Enhanced Lifeform
String
255
0
0
ABBREV
Fine Scale Map Class Abbreviation
String
255
0
0
COUNTY
County
String
255
0
0
OBJECTID_COPY
OBJECTID_COPY
Integer
4
0
0
REL_CON_COV
Relative Conifer Cover
Integer
4
0
0
REL_HDW_COV
Relative Hardwood Cover
Integer
4
0
0
STAND_HT_MN
Stand Height Mean
Integer
4
0
0
STAND_HT_MX
Stand Height Max
Integer
4
0
0
STAND_HT_SD
Stand Height Standard Deviation
Integer
4
0
0
IMPERVIOUS_PERCENT
Percent Impervious
Integer
4
0
0
MAP_CLASS_ORIGINAL
Original Map Class
String
255
0
0
MAP_CLASS_FINAL
Fine Scale Map Class (Final)
String
255
0
0
OBJECTID_COPY_1
OBJECTID_COPY
Integer
4
0
0
POT_model
Refugia
String
8000
0
0
CCSM_model
CCSM4 Model “Warmer/ Wetter"
String
8000
0
0
CNRM_model
CNRM-CM5 Model “Hotter/ Wetter"
String
8000
0
0
MIROC_model
MIROC-ESM Model “Hotter/ Dryer"
String
8000
0
0
SHAPE_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Length
Double
8
0
0
SHAPE_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Double
8
0
0
0
Simple
FALSE
0
TRUE
FALSE