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UnifiedVegMap_FineScale (FeatureServer)

View In:   Map Viewer

Service Description: 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.

Service ItemId: 51920bb4e06e4a7ca0a79dee5e2a955a

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: True

Supports Shared Templates: True

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Layers:

Description:

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.

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.’

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 https://pacificvegmap.org.

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 - Quercus agrifolia, Quercus kelloggii, Pseudotsuga menziesii, and Sequoia sempervirens. The refugia data is the result of the Conservation Biology paper Syphard and Ristigian-Romsos, 2024. Potential refugia analysis and incorporation into the unified fine scale vegetation map was done by Tukman Geospatial.

The full datasheet for this product, which includes potential refugia methodology, can be accessed here: https://vegmap.press/gg_biosphere_veg_map_datasheet.

Attributes for the unified vegetation map are shown in the table below:

Attribute Name

Attribute Alias

Description

COUNTY

County

The county.

MAP_CLASS

Fine Scale Map Class

Fine scale map class, usually (for woody types) at the alliance level of the Manual of California Vegetation.

ENHANCED_LIFEFORM

Enhanced Lifeform

A general classification of land use/land cover type useful for viewing vegetation and landcover with less floristic detail.

ABBREV

Fine Scale Map Class Abbreviation

Fine scale map class abbreviation.

ABS_COVER

% Veg Returns over 15 Feet

% of lidar returns over 15 feet by stand; a good lidar derived proxy for canopy cover.

REL_COV

Relative Softwood/Hardwood Cover

Relative softwood versus hardwood cover, classified into 5 bins.

REL_CON_COV

Relative Conifer Cover

Relative conifer cover as an integer percent (San Mateo and Marin Counties only).

REL_HDW_COV

Relative Hardwood Cover

Relative hardwood cover as an integer percent (San Mateo and Marin Counties only).

STAND_HT_MN

Stand Height Mean

Mean lidar derived stand height for each stand.

STAND_HT_MX

Stand Height Max

Maximum lidar derived stand height for each stand.

STAND_HT_SD

Stand Height Standard Deviation

Standard deviation of lidar derived stand height for each stand.

IMPERVIOUS_PERCENT

Percent Impervious

Percentage of impervious cover for each stand.

MAP_CLASS_ORIGINAL

Original Map Class

Original fine scale map class name.

Quality

Climate Refugia Quality

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

CCSM_model

CCSM4 Model “Warmer/ Wetter”

Yes’ if the CCSM global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.

CNRM_model

CNRM-CM5 Model “Hotter/ Wetter”

'Yes’ if the CNRM global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.

MIROC_model

MIROC-ESM Model “Hotter/ Dryer”

'Yes’ if the MIROC global climate model predicts potential refugia for at least 90.01% of the polygon. ‘No’ if otherwise.



Copyright Text: 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

Spatial Reference: PROJCS["NAD_1983_Albers",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",-4000000.0],PARAMETER["central_meridian",-120.0],PARAMETER["Standard_Parallel_1",34.0],PARAMETER["Standard_Parallel_2",40.5],PARAMETER["latitude_of_origin",0.0],UNIT["Meter",1.0]]

Initial Extent:
Full Extent:
Units: esriMeters

Child Resources:   Replicas   Info   SharedTemplates

Supported Operations:   Query   ConvertFormat   Get Estimates   Create Replica   Synchronize Replica   Unregister Replica