Mark Tukman, Tukman Geospatial, President 20230803 vector digital data https://wildlife.ca.gov/Data/BIOS https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2960.zip The Tamalpais Lands Collaborative (One Tam; https://www.onetam.org/), the network of organizations that manage lands on Mount Tamalpais in Marin County, initiated the countywide mapping project with their interest in creating a seamless, comprehensive map depicting vegetation communities across the landscape. With support from their non-profit partner the Golden Gate National Parks Conservancy (https://www.parksconservancy.org/) One Tam was able to build a consortium to fund and implement the countywide fine scale vegetation map.Development of the Marin fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/) Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation) with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) to develop a Marin County-specific vegetation classification.High density lidar data was obtained countywide in the early winter of 2019 to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as 6-inch imagery from 2014 and various dates of National Agriculture Imagery Program (NAIP) imagery.In 2019, a 26-class lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.In 2019, Tukman Geospatial staff and partners conducted countywide reconnaissance fieldwork to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2020, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In the spring of 2021, draft maps were distributed and reviewed by Marin County's community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in June 2021. In total, 107 vegetation classes were mapped with a minimum mapping size of one fifth to one acre, varying by class.Accuracy assessment plot data were collected in 2019, 2020, and 2021. Accuracy assessment results were compiled and analyzed in the summer of 2021. Overall accuracy of the lifeformmap is 95%. Overall accuracy of the fine-scale vegetation map is 77%, with an overall 'fuzzy' accuracy of 81%.The Marin County fine-scale vegetation map was designed for a broad audience for use at many floristic and spatial scales. At its most floristically resolute scale, the fine-scale vegetation map depicts the landscape at the National Vegetation Classification alliance level - which characterizes stands of vegetation generally by the dominant species present. This product is useful to managers interested in specific information about vegetation composition. For those interested in general land use and land cover, the lifeform map may be more appropriate. Tomake the information contained in the map accessible to the most users, the vegetation map is published as a suite of GIS deliverables available in a number of formats. Map products are being made available wherever possible by the project stakeholders, including the regional data portal Pacific Veg Map (http://pacificvegmap.org/data-downloads). The Tamalpais Land Collaborative (One Tam) and Golden Gate Park Conservancy built a consortium in 2018 to initiate, develop, and implemented a fine-scale countywide vegetation map of 366,329 acres within Marin County, CA. The project, which concluded in 2021, is known as the Marin Countywide Vegetation Map and Landscape Database Project (the Marin Veg Map). Under separate contract and in collaboration with the California Department of Fish and Wildlife (CDFW) VegCAMP Program, California Native Plant Society (CNPS) developed this floristic vegetation classification based on the Marin Veg Map. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). Rarity Ranking: Rarity ranks for various types in this map have been updated utilizing the NatureServe Conservation Status Assessments Rank Calculator Version 3.186, and are current as of July 5, 2022. Rarity ranks are subject to change due to changing threats and trends and as ranking methodologies are further refined. Please check CDFW’s Natural Communities page for the most up-to-date rarity ranks (https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities). References: Tukman Geospatial, Aerial Information Systems and Kass Green and Associates. 2018 Marin Countywide Fine Scale Vegetation Mapping Report. Tamalpais Lands Collaborative (One Tam); 3/22/2022. Available from: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=213079 Buck-Diaz, J., Sikes, K and J. Evens. Vegetation Classification of Alliance and Associations in Marin County, California. California Native Plant Society; 9/2021. Available from: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=195293 Sikes, K, Buck-Diaz, J. and J. Evens. Vegetation Classification of Alliances and Associations in San Mateo County, California; Appendix D: Vegetation Descriptions. Golden Gate National Parks Conservancy; 1/2021. Available from: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667 Golden Gate National Parks Conservancy, Tamalpais Lands Collaborative (One Tam), Tukman Geospatial LLC, and Aerial Information Systems. September 30, 2021. Marin Veg Map Datasheet - Fine Scale Vegetation Map. Tukman Geospatial LLC. Available from: https://vegmap.press/marin_vegmap_datasheet Golden Gate National Parks Conservancy, Tamalpais Lands Collaborative (One Tam), University of Vermont Spatial Analysis Lab, and Tukman Geospatial LLC. August 20, 2021. Marin County Impervious Surfaces. Tukman Geospatial LLC. Available from: https://tukmangeospatial.egnyte.com/dl/uQhGjac1zw Golden Gate National Parks Conservancy and Tukman Geospatial LLC. September 30, 2021. Marin Veg Map Datasheet - Marin County Forest Lifeform. Tukman Geospatial LLC. https://tukmangeospatial.egnyte.com/dl/juikfNtQQX Golden Gate National Parks Conservancy and Tukman Geospatial LLC. September 30, 2021. Marin Veg Map Datasheet - Marin County Lifeform. Tukman Geospatial LLC. Available from: https://tukmangeospatial.egnyte.com/dl/xtZtpJphKy Tukman Geospatial. 2021. Fine Scale Map Class Abbreivaiotn Lookup. Available from: https://tukmangeospatial1net.sharepoint.com/:x:/s/TukmanGeospatialLLC/EaHvf0TC56BJuJHO3nciU_IBYnVxwWTpw7VT5kqws55JaA?rtime=_9rOenQ520g Complete As needed -123.041183 -122.414198 38.333861 37.801535 None Marin Countywide Vegetation and and Landscape Database Project, Marin Veg Map, California Department of Fish and Wildlife, National Vegetation Classification Standard, NVCS, Manual of California Vegetation, Tamalpais Land Collaborative, One Tam, Golden Gate Parks Conservancy, Tukman Geospatial, Aerial Information Systems, AIS, Kass and Green Associates ISO 19115 Topic Categories biota environment imageryBaseMapsEarthCover None Marin, Marin County None CDFW's VegCAMP appreciates learning how these vegetation datasets are being used so that we can leverage support for classifying and mapping new areas and let users know of any updates. Please contact us at VegCAMP@wildlife.ca.govor call any of the staff listed here: https://wildlife.ca.gov/Data/VegCAMPLicense: This work is licensed under Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets ( https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer: The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data. California Department of Fish & Wildlife Rachelle Boul VegCAMP Program Lead mailing

1700 9th St, 4th floor

Sacramento California 94244-2090 US VegCAMP@wildlife.ca.gov California Department of Fish & Wildlife Rachelle Boul VegCAMP Program Lead mailing

1700 9th St, 4th floor

Sacramento California 94244-2090 US VegCAMP@wildlife.ca.gov This map was created by Tukman Geospatial and Aerial Information Systems (AIS). It was prepared for Tamalpais Lands Collaborative (One Tam; https://www.onetam.org/ ). Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270 Vector GT-polygon composed of chains 96638 NAD 1983 California Teale Albers 34.0 40.5 -120.0 0.0 0.0 -4000000.0 coordinate pair 0.0001 0.0001 meter D North American 1983 GRS 1980 6378137.0 298.257222101 ds2960 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. Esri Coordinates defining the features. MCVName Names will be the same as ones used in the Manual of California Vegetation and California Natural Community List (https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities). These standardized names correspond as much as possible to the National Vegetation Classification System (see http://usnvc.org/) or are submitted to the regional editors for induction.Classes for human land use or otherwise unvegetated land were drawn from the California Wildlife Habitat Relationship. https://vegetation.cnps.org/ MCVLevel The standardized level of the vegetation description in the Manual of California Vegetation corresponding with levels of the National Vegetation Classification System http://usnvc.org MapCode The code for a vegetation association, alliance, group, unvegetated type, or land use for polygons that are not natural vegetation. This code matches the Veg field from the Report. MapClass The finest level of vegetation type mapped (alliance, association, group or macrogroup); or descriptions for polygons that are not natural vegetation per the mapping classification, including land use and natural barrens or water features. Map classes are described in the mapping report. This name matches the VegName field from the Report. UID Unique identifier for each polygon. Calculated at the end of project. CalVegType A crosswalk to the Classification and Assessment with Landsat of Visible Ecological Groupings (CalVeg) vegetation system (USDA Forest Service). Note that there may be a one-to-many relationship between CalVeg and NVCS, but the best crosswalk for this area is chosen. https://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 OID_COPY Unique index for internal use. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK MAP_CLASS_18 National Vegetation Classification (NVCS) map class label for all stands, as defined in Marin’s fine scale mapping key. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK ABBRV Map class abbreviations for use in cartography and visualization. https://vegmap.press/marin_vegmap_abbrevs LIFEFORM_18 26-class lifeform label for all stands. Labels are floristically more general than the fine scale map class and forest lifeform. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK FOREST_LIFEFORM_18 30-class lifeform label for all stands. Labels are floristically more general than the fine scale map class. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK ABS_COVER_19 Absolute cover of trees greater than 15 feet in height. Derived from 2019 lidar data. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK REL_CON_COV_18 Relative conifer cover, estimating the percent of tree canopy >= 15 ft. is conifer. Derived from manual image interpretation of ‘18 imagery. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK REL_HDW_COV_18 Relative hardwood cover, estimating the percent of tree canopy >= 15 ft. is hardwood. Derived from manual image interpretation of ‘18 imagery. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK HDW_COVER_18 Absolute hardwood cover, derived as: ((relative % hardwood cover/100) x (absolute % hardwood/100)) * 100 https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK CON_COVER_18 Absolute conifer cover, derived as: ((relative % conifer cover/100) x (absolute % cover/100)) * 100 https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK SHB_COVER_18 Absolute shrub cover for herbaceous and shrub stands. Derived from manual image interpretation of ‘18 imagery. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK STAND_HT_MN_19 Mean stand height from LiDAR-derived canopy height model (CHM). https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK STAND_HT_MX_19 Maximum stand height from LiDAR-derived canopy height model (CHM). https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK STAND_HT_SD_19 Standard deviation stand height from LiDAR-derived canopy height model (CHM). https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK STANDING_DEAD_19 Estimate of percent standing dead vegetation in forested stands. Estimates the percent of the woody canopy > 7 feet tall that did not have a living crown in late 2018/early 2019. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK FRACAL_MORTALITY_18 Estimate of the % standing dead cover of Frangula Californica in mapped coffeeberry stands. Estimate is relative to total coffeeberry cover in the stand. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK CANOPY_GAP_10_19 % of stand that is a canopy gap that formed between 2010 and 2019. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK LARGEST_GAP_10_19 Largest canopy gap that formed between 2010 and 2019 in square feet. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK CON_CHANGE_14_18 % conifer cover change between 2014 and 2018. Only applies to Marin County Parks and Marin Water lands. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK HDW_CHANGE_14_18 % hardwood cover change between 2014 and 2018. Only applies to Marin County Parks and Marin Water lands. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK AGL_BIOM_2017_RATE Aboveground live biomass in tons per hectare for forestlands. Data integrated from 2017 LEMMA using the zonal statistics function. https://lemmadownload.forestry.oregonstate.edu/ AGL_BIOM_2017_TOT Aboveground live biomass in tons for forestlands. Data integrated from 2017 LEMMA using the zonal statistics function. https://lemmadownload.forestry.oregonstate.edu/ MEAN_LADDER_FUELS Mean lidar derived ‘ladder fuels’ for forested stands. Represents density of lidar returns between 1-4 meters above ground. Integrated from the 2019 lidar derived ladder fuels raster using the zonal statistics function. The ladder fuel metric is a 0-1 metric; 0 is lowest, 1 is highest. https://tukmangeospatial.egnyte.com/dl/iWdGQxTebV SLOPE_MEAN Mean slope degrees, derived from the 2019 lidar data. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK SLOPE_STD Standard deviation slope degrees, derived from the 2019 lidar data. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK SLOPE_MAX Maximum slope degrees, derived from the 2019 lidar data. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK Orig_Map_Class Map class from the 2004-2014 fine scale mapping efforts. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK WOODWARD_FIRE_SEVERITY Burn severity classes (from WERT burn severity data) for stands within the footprint of the 2020 Woodward fire. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK DIRT_RD_18 Percent of stand that was dirt or gravel road in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK OTHER_PAVED_18 Percent of stand that was a paved, non-road surface (such as a paved parking lot) in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK BUILDING_18 Percent of stand that was a building in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK OTHER_DIRT_18 Percent of stand that was an unpaved, non-road impervious surface (such as a gravel parking lot) in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK PAVED_RD_18 Percent of stand that was paved road in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK IMPERVIOUS_18 Percent of stand that was impervious in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK PERVIOUS_18 Percent of stand that was pervious in 2018. Integrated from the Marin County impervious surface map. https://tukmangeospatial.egnyte.com/dl/lh8BPnoMUK CalVegCode The code used for the CalVeg type. https://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 CWHRType A crosswalk to the California Wildlife Habitat Relationships system. Note that there is usually a one-to-many relationship between CWHR and NVCS. The best fit for this area has been chosen. https://wildlife.ca.gov/Data/CWHR/Wildlife-Habitats CWHRCode The code for the CWHR type. https://wildlife.ca.gov/Data/CWHR/Wildlife-Habitats GlobalRank The global rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from G1 which is critically imperiled/has very few occurrences to G5, when a community is demonstrably secure due to broad distribution with area not subject to threats. Ranks G1-G3 are considered sensitive. See: http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities Ranks are current as of the publication date or update date. http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities StateRank The state rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from S1 which is critically imperiled/has very few occurrences to S5, when a community is demonstrably secure due to security globally. Ranks S1-S3 are considered sensitive. See: http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities Ranks are current as of the publication date or update date. http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf and https://wildlife.ca.gov/Data/VegCAMP/Natural-Communities Sensitive Is the vegetation type considered sensitive? Y= yes, sensitive natural community. Alliances and associations with global ranks of G1-G3 state ranks of S1-S3 are considered sensitive natural communities. Additionally if an association has not gone through the ranking process, but is estimated to be sensitive Y will be shown without a G or S rank. Ranks are current as of the publication date or update date. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities/Background CaCode California Natural Community Codes - unique code assigned to alliances and associations. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities MCVAlliance The standardized name for the alliance within the NVCS as interpreted in the Manual of California Vegetation. https://vegetation.cnps.org/ MCVGroup The standardized name for the group within the National Vegetation Classification System, with some potential exceptions within the Manual of California Vegetation Database. https://vegetation.cnps.org/ MCVMacrogroup The standardized name for the macrogroup within the National Vegetation Classification System, with some potential exceptions within the Manual of California Vegetation Database. https://vegetation.cnps.org/ CommunityLink The link to the alliance in the Manual of California Vegetation Online. https://vegetation.cnps.org/ Acres GIS Calculated acres based on calculation done in California (Teale) Albers, NAD83. SHAPE_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. SecondCaCode The secondary California Code of the Alliance or Association, typically when original community was split and both communities could exist in map https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities SecondSensitive The sensitivity of the secondary community, typically when original community was split and both communities could exist in map https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities/Background SHAPE_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Hectares GIS Calculated hectares based on calculation done in California (Teale) Albers, NAD83. 20230803 California Department of Fish & Wildlife Rachelle Boul VegCAMP Program Lead mailing

1700 9th St, 4th floor

Sacramento California 94244-2090 US VegCAMP@wildlife.ca.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time CDFW’s VegCAMP appreciates learning how these vegetation datasets are being used so that we can leverage support for classifying and mapping new areas and let users know of any updates. Please contact us at VegCAMP@wildlife.ca.govor call any of the staff listed here: https://wildlife.ca.gov/Data/VegCAMPLicense: This work is licensed under Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets ( https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer: The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data.