Point Reyes National Seashore 20030730 map Classification of the vegetation of Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor, Mount Tamalpais, and Tomales State Parks in Marin, San Francisco, and San Mateo Counties, California ftp://ftp.dfg.ca.gov/BDB/GIS/BIOS/Public_Datasets/ http://bios.dfg.ca.gov The National Park Service (NPS), in conjunction with the Biological Resources Division (BRD) of the U.S. Geological Survey (USGS), has implemented a program to develop a uniform hierarchical vegetation mapping methodology and classification at a national level and apply it to National Parks. The purpose of the data is to document the state of vegetation within Point Reyes National Seashore, Golden Gate National Recreation Area and the surrounding wildlands during 1994, thereby providing reference data for further analysis at the Regional or Service-wide level. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation primarily reflects conditions that existed during 1994 and 1995. Several sets of aerial photography were utilized for this project: 1) NOAA 1:24,000 March 1994 Natural Color Prints (Leaf Off) covering Point Reyes NS, the northern portion and southern coastal portions of Golden Gate NRA, and the western two thirds of Mt. Tamalpais State Park; 2) Pacific Aerial Survey 1:24,000 August 1995 Natural Color Prints (Leaf On) covering the southern portions of Golden Gate NRA and the San Francisco Watershed district; 3) Pacific Aerial Survey 1:24,000 November 1995 Natural Color Prints (Leaf Change) covering Samuel P. Taylor State Park and portions of the GGNRA; 4) 1:36,000 August 1991 Natural Color Prints (Leaf On) covering the eastern portion of Mt. Tamalpais State Park; 5) 1:12,000 August 1990 Natural Color Prints (Leaf On) covering Samuel P. Taylor State Park. (Supplemental data set - not interpreted off of); 6) 1:12,000 June 1993 Natural Color Prints (Leaf On) covering coastal portions of Mt. Tamalpais State Park (Supplemental data set - not interpreted off of); 7) Hammon-Jensen-Wallen 1:12,000 August 1996 CIR Prints and Diapositives (Leaf On) covering the Vision Fire Burn Area; 8) 1:12,000 April 1984 CIR Prints were provided to fill in small gaps in the Drakes Bay area; 9) Radman Aerial Surveys 1:12,000 April 1993 Natural Color Prints covering Angel Island; 10) Only the Black and White DOQQ (San Francisco NE) was available for Alcatraz Island. Additionally, supplemental DAIS imagery for October 2001 was acquired after the project was started, which was then used to re-interpret some of the original work. There is an inherent margin of error in the use of aerial photography for vegetation delineation and classification. The purpose of this spatial data is to provide the National Park Service the necessary tools to wisely manage the natural resources within this park system. Several parks, representing different regions, environmental conditions, and vegetation types, were chosen by BRD to be part of the prototype phase of the program. The initial goal of the prototype phase is to "develop, test, refine, and finalize the standards and protocols" to be used during the production phase of the project. This includes the development of a standardized vegetation classification system for each park and the establishment of photo interpretation, field, and accuracy assessment procedures. Point Reyes National Seashore and Golden Gate National Recreation Area were initially identified as one of the prototype projects within the National Park System for the USGS-NPS Vegetation Mapping Program. Point Reyes National Seashore (PRNS) was established in September of 1962 and encompasses approximately 71,000 acres of diverse habitats, including grasslands, coastal scrub, broadleaved evergreen woodlands and coniferous forests. Within the general vicinity of the PRNS there are a number of public and private land holdings that have also been interpreted and mapped for the project. They include the following areas: 1) PRNS 2) Phillip Burton Wilderness Area and Research Natural Area (part of PRNS); 3) Privately owned land including portions of the town of Inverness, Olema, and Bolinas, land east of the Bear Valley Trail to Olema Creek, Audubon Canyon Ranch, and a narrow band along State Highway 1 north to Preston Point; 4) Samuel P. Taylor State Park; 5) Tomales Bay State Park; 6) Stinson Beach. Areas in the general vicinity of PRNS that were not part of the mapping effort include: 1) The Marin Municipal Water District (Kent Lake Area); 2) Portions of the towns of Bolinas, Inverness Park, Stinson Beach and Inverness; 3) Duxbury Reef Reserve and Point Reyes Headlands Reserve (below the mean high water); 4) Farallone Islands National Marine Sanctuary. Golden Gate National Recreation Area (GGNRA), established in 1983, covers over 76,000 acres of land, including extensive stands of chaparral, coastal scrub, grasslands, broadleaved woodlands and old growth redwood forests. Within the general vicinity of the GGNRA there are a number of public and private land holdings that have been interpreted and mapped for the project. They include the following areas: 1) GGNRA; 2) Muir Woods National Monument; 3) Mount Tamalpais State Park; 4) Marine Headlands; 5) The Presidio of San Francisco; 6) Angel Island State Park; 7) Fort Funston; 8) Sweeny Ridge; 9) The San Francisco Watershed Lands. Areas in the general vicinity of the GGNRA that were not part of the mapping effort include: 1) Adjacent Mid Peninsula Regional Open Space lands; 2) Edgewood County Park; 3) Portions of Montara State Beach and San Pedro Valley County Park. REFERENCE: The final report is located at: http://www.nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=17023. 19930401 19900801 20011001 19840401 19951101 19940301 19950801 19960801 19910801 19930601 ground condition - Nine different dates of aerial photography were utilized to photo interpret the ground conditions. Complete None planned -123.045901 -122.272954 38.265359 37.414204 None Land-cover Wetlands Vegetation Plant Communities Inventory Aerial Photo Interpretation ISO 19115 Topic Category oceans environment biota None San Mateo County Marin County San Francisco County National Seashore Golden Gate National Recreation Area National Park Service Area San Francisco Bay Area North America California Golden Gate Biosphere Reserve Point Reyes National Seashore PORE Natural Resources Ground-surface None. Users should download it from the NPS DataStore to get the most recent version. Any person using the information presented here should fully understand the data collection and compilation procedures, as described in these metadata, before beginning analysis. The burden for determining fitness for use lies entirely with the user. For purposes of publication or dissemination, citations should be given to the National Park Service and the U.S. Geological Survey. Point Reyes National Seashore Dave Schirokauer GIS Biologist physical

Point Reyes National Seashore

Point Reyes CA 94956 US 415-464-5199 415-464-5183 dave_schirokauer@nps.gov Project Leader: Dave Schirokauer - National Park Service (NPS), Vegetation Ecolotgists: Todd Keeler Wolf - California Department of Fish and Wildlife and Pam van der Leeden - National Park Service (NPS), Photo Interprter: John Meinke - Aerial Information Systems, Contract Coordinator: Doug Cribbs - ESRI None None Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959 Point Reyes National Seashore 20030730 http://nrdata.nps.gov/pore/poredata/vegetation-pore&goga-1994.xml Code verification involved running each coverage attribute file through a series of ARC/INFO commands that checked for invalid codes. These commands produced listings and frequencies that aided in identifying abnormal codes. The errors were checked against the vegetation delineation and attribute overlays. Corrections were made to the listings and input into the database. ESRI produced a plot of the converted spatial data and sequence numbers (label I.Ds) for quality control review. These plots were checked for cartographic quality of the arcs defining the polygon features and the accuracy of the label I.D. assignments. Other edits were also noted on the plots, such as overshoots and undershoots, missing lines, premature convergence of polygon boundary lines that intersected arcs at acute angles, and incorrect sequence number assignments. Code verification plots of the community association/alliance codes, height codes, density codes, land use codes, and burn modifier codes were created and checked for coding attribute errors that may have occurred during the polygon attribute encoding step. These plots were checked against the original aerial photograph delineations and attributing. Code changes were noted on the plots. Processors conducted interactive ARCEDIT sessions to make the necessary corrections to the coverages. Accuracy Assessment field data was captured by park staff to analyze the accuracy of the vegetation community polygons. Accuracy Assessment confusion matrices were developed to analyze the data within several levels of the vegetation classification hierarchy including:1) Association = 42.5%; Alliance = 62.3%; Superalliance 71.4%; Mesocluster = 76.1%, Supercluster = 82.4%; Lifeform = 83.8%. A hierarchical vegetation classification system, outside of the National Vegetation Classification System, was developed for this project to improve usability of the data. Alliances were merged hierarchically into Superalliances, Mesoclusters, and Superclusters based on ecological similarities that were discerned during the ordination (TwinSpan) analysis that originally was used to describe plant associations. Each successive level in this hierarchy had fewer, broader, vegetative communities. Therefore, the thematic accuracy (user and producer) improves at each successive level. This is the fuzzy logic approach that was used to improve the usability of these data. The superalliance level was selected as the primary classification to be used because important ecological differences between plant communities are preserved while the accuracy of the product is improved to 71.4%. However, all of the levels in the hierarchy are available for the end-user. Please refer to the final report associated with this project to view the confusion matrices associated with the other levels in the classification hierarchy. The accuracy of each plant community mapping unit at every level in the classification hierarchy is available in the attribute table. See the Entity and Attribute section of this metadata record. All polygon features are checked for topology using the ARC/INFO software. Each polygon begins and ends at the same point with the node feature. All nodes are checked for error so that there are no dangling features. There are no duplicate lines or polygons. All nodes will snap together and close polygons based on a specific tolerance. If the node is not within the tolerance, it is adjusted manually. The test for logical consistency is performed in ARC/INFO. All data that can be photointerpreted is also digitized. This includes association / community and superalliance classes, surface water, and unvegetated/landuse. +/- 12 meters National Map Standards for 24000 Scale Data NA Point Reyes National Seashore unpublished material map Classification of the vegetation of Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor, Mount Tamalpais, and Tomales State Parks in Marin, San Francisco, and San Mateo Counties, California 24000 CD-ROM 19940401 unknown ground condition PORE-GOGA Veg Map All information from Final Report associated with this project: AUTOMATION & SPATIAL COVERAGE: Converting the vegetation delineations to a digital format involved four main procedures: 1) Geo-referencing (rectifying) photo overlay line-work to the DOQQ's, 2) Creating manuscript (digital quality) overlays and related attribute files, 3) Input of spatial data into digital format (scanning), and 4) Linking the spatial data with the fields from the attribute files. A hardcopy of the USGS digital orthophoto quarter quads (DOQQ's) series for all or portions of fourteen USGS 1:24,000 topographic quads was used as a base to begin the data conversion process. Creation of the DOQQ hardcopy base required having the image plotted onto clear mylar at the mapping input scale, approximately 1:24,000. To facilitate the geo-referencing of the polygons, it was determined that the average (nominal) scale of the aerial photography was also approximately 1:24,000. Forty-three plots were generated at the normal scale on mylar overlays to cover the study area. The first step in geo-referencing the vegetation polygons delineated on the photo overlays involves manually fitting the line-work to hard copies of the DOQQ's. This was a highly labor intensive procedure that adjusts for distortion in the aerial photography caused by topography and distance from the photo's nadir. Manual rectification was conducted by attaching a new mylar overlay to the hard copy DOQQ. The photo signature delineations were transferred to the overlays through local registration of the photos with the attached photo signature delineation overlay. A small area of the photo was registered to the base at a time. By matching photo image to orthophoto image, the delineations were transferred to the base overlay. Because the parallax of the photo differs from that of the orthophoto base, care was required in transfer. Inconsistent stretching or shortening of the images was common from the photo to the base. When one area was completed, the photo was shifted to register to another small area. The process continued until the manual rectification and transfer of polygons was complete. Three code attributes were placed on the overlays: 1) Values containing alliance (series) / association codes, 2) Height, and 3) Density attributes. These codes were transferred from the corresponding photo overlays. A quality control step was performed in order to assure accuracy of the rectification and delineation and transfer of the codes. A senior interpreter reviewed the overlays for accuracy and completeness of transfer and made the appropriate changes where needed. This procedure was performed for approximately half of the more complicated portions of the study. The remaining modules had line-work directly transferred from the photo overlays to the DOQQ's in an ArcView environment. This heads up digitizing procedure eliminated several interim steps including attribute assignments, manuscript map preparation, sequence number assignments, polygon encoding and scanning. Approximately twenty manuscript maps (roughly half the study area) were created to input the spatial component of the vegetation mapping units. The manuscripts were produced by pin-registering a clean sheet of mylar to the base. The vegetation delineations from the manually rectified overlays were transferred to the new overlays using black P2 Pentel lead suitable for scanning. The manuscript maps were carefully edited to ensure completeness and correctness. The final manuscript maps underwent a quality assurance review. The manuscript maps were compared to geo-referenced (rectified) overlays to ensure that all line-work was transferred correctly. Sequential identification number overlays were produced for the manuscript maps. A clean sheet of mylar was pin-registered to each manuscript, and each polygon was labeled with a unique sequence number. These sequence numbers were used to relate the spatial files to the tabular attribute files. To expedite the encoding of the vegetation attributes for each polygon, a Quattro Pro spreadsheet file was created for each sheet. A separate field was created for the polygon sequence number, PI code, height code, density code, and Vision fire burn attributes. The manuscript maps, sequence number overlays, and attribute overlays were pin - registered together on a light table. The coder, following the numbers on the sequence number overlays, entered the vegetation attributes for each polygon. During this task, the coder verified the accuracy of the sequence number labels. The manuscript maps were scanned and converted into ARC/INFO coverages at ESRI. Prior to any production scanning, test scans of small areas of the data map were conducted to determine the optimum raster to vector conversion settings. The critical settings that determine the output resolution and completeness are the TOLERANCE and THRESHOLD. The TOLERANCE, which governs the output resolution and is comparable to fuzzy tolerance, would be set to .01 inches (10 feet at 1:12,000 scale). The THRESHOLD is a reflectance measure. It is dependent on the physical characteristics of the data maps and their contents and is determined through testing. Once the THRESHOLD was derived, production scanning of manuscript maps began. In an earlier step, the vegetation polygons were assigned a unique identifier. The numbers were sequenced 1 through "n" (4 - digit item width) and were drawn on the sequence number overlays. The manuscript maps and the sequence number overlays were registered together on the digitizing board. The polygon identifiers were sequentially input as label points. To ensure that all labels points were entered, the processor marked off each label as it was digitized. Topology is the mathematical procedure for explicitly defining spatial relationships. In the case of maps, topology defines connections between features and identifies adjacent polygons. Once the manuscript map's polygon boundaries and label points had been input into the computer, the ARC / INFO software CLEAN command was used to create the "coverage topology." The CLEAN fuzzy tolerance was set to .002 inches to preserve the required data resolution. When other coordinate edits were made to a coverage after the CLEAN command was run, topology was recreated utilizing the BUILD command. Missing labels were identified by using the LABELERRORS command in ARC. Using ARCEDIT, any label errors identified were corrected by entering the missing label number and placing it within the correct polygon. Once all the errors were corrected, the coverages were joined with the tabular attribute data. The Quattro Pro code file was converted into an INFO file. Once converted it was related to the feature attribute table by the sequence number found in both files. An INFO item, named "SEQNO" was added to the feature attribute table. The sequence number for each polygon was calculated to equal its coverage I.D. number. The ARC/INFO command JOINITEM was used to join the code file to the feature attribute table. The spreadsheet file was joined with its corresponding coverage. Each variable interpreted from the aerial photography was provided with a unique field (item). Code verification involved running each coverage attribute file through a series of ARC / INFO commands that checked for invalid codes. These commands produced listings that aided in identifying abnormal codes. The errors were checked against the vegetation delineation and attribute overlays. Corrections were made to the listings and input into the database. ESRI produced a plot of the converted spatial data and sequence numbers (label I.D.s) for each manuscript. The plot was checked by AIS for cartographic quality of the arcs defining the polygon features and the accuracy of the label I.D. assignments. The plot was overlaid to the manuscript maps to verify that the scanned data was not distorted beyond .02 map inches. Other problems were noted on the plots, including line overshoots and undershoots, missing lines, premature convergence of polygon boundary lines that intersected arcs at acute angles, and incorrect sequence number assignments. ESRI also produced code verification plots of the PI codes, height codes, and density codes. The plots were checked by AIS for coding errors that may have occurred during the polygon attribute encoding step. The plots were overlaid on the corresponding manual rectification code attribute overlay. Code changes were noted on the plot. Once the rectifying of the polygon data was completed and the attribute items populated, a final on screen review of line - work and community designations was performed in an ArcView session. Any final corrections to the community association assignments were then made to the database. Revised coverages were map-joined to create a single coverage. unknown FIELD RECONNAISSANCE & PHOTO INTERPRETATION: Preliminary photo interpretation and ground truth (training) data was collected during the 1997 and 1998 field seasons. Photo interpreters and field crews worked iteratively to collect releve data and develop photo signatures keys for the entire suite of plant communities (associations). A plant community classification and field key was formalized following an ordination analysis of the field data. A map classification was established based on the plant communities described in the key. In most cases plant communities were mapped at the association level however several "mapping units" were established for combinations of associations and alliances that were difficult to distingue in the aerial photos. Ecologists intermittently assisted to assure correct field calls and to verify additional vegetation types as they were encountered. Ground features were interpreted and delineated onto the photo overlays using a stereoscope over a light table. Each photograph was viewed with its matching stereo pairs so images could be seen in 3-dimensions. To minimize edge distortion, interpretation was focused towards the center of each photograph. Texture, height, pattern, life form, and position in the landscape were all used in the decision process of delineating polygons and assigning map unit codes. Several ancillary sets aerial photographs were used to assist in the interpretation process. By the end of the 1998 field season, mapping protocols were sufficiently stabilized to permit the aerial photo interpretation team to complete the initial delineation. unknown INTRODUCTION & AERIAL PHOTOGRAPHY: The plant community spatial database covers Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor State Park, Tomales Bay State Park, Mt. Tamalpais State Park, and the San Francisco Municipal Water District; a total area of 62,753 hectares (155,000 acres). The 80 (1:24,000) true color aerial photographs interpreted for the northern portion of this project were acquired in March 1994. The photos used to map the southern portion of the study area were acquired in August of 1995. The spatial database reflects conditions that existed at the time the photos were collected. unknown Point Reyes National Seashore Dave Schirokauer GIS Biologist physical

Point Reyes National Seashore

Point Reyes CA 94956 US 415-464-5199 415-464-5183 dave_schirokauer@nps.gov Process Timeline: March 12, 1994 Aerial photography for the northern portions of the study flown August 8, 1995 Aerial photography for the southern portions of the study flown December 5, 1995 Initial costs and contract drawn up between PRNS and ESRI September 1996 Preliminary efforts by Todd Keeler - Wolf and Laura Nelson in developing a list of possible vegetation communities March of 1996 Post fire aerial photography flown October 24, 1996 Preliminary Vegetation Scoping Meeting (ESRI - NatureServe PRNS, GGNRA) January 20, 1997 AIS receives photography and metadata from NPS March 1997 Field reconnaissance effort with AIS and Todd Keeler-Wolf March 31, 1997 Preliminary mapping classification for the study area developed April - June 1997 Preliminary line work and initial polygon labels interpreted and sent to Todd Keeler - Wolf in 3 shipments. October 1998 Plot sampling effort complete for study a total of 366 plots Copies of field overlays delivered to AIS for review against initial PI calls Updates and corrections made to the photo overlays February 1999 The PRNS Classification Supported by Plots completed Three - day field verification effort completed March 1999 Updates and corrections made to the photo overlays based on the three - day field verification trip June 9, 1999 Geo - referencing (rectification) of the first twelve modules in the grassland areas around Drakes Bay delivered to NPS June 1999 Accuracy Assessment (AA) efforts begin October 1999 Second set of modules delivered to NPS, AA points selected by the NPS. November 1999 Third set of modules delivered to NPS (All regions except the San Francisco Presidio and Angel Island) January 2000 Delivery of modules to NPS both with and without quad boundaries Completion of fire attribute assignment to shrub and tree polygons in the Vision Fire area July 2002 Accuracy assessment results reviewed by NPS, AIS, and Heritage Ecologist during a meeting in Redlands at AIS. Final set of accuracy plots to be used in accuracy assessment agreed on by all parties. Several plant communities, with poor thematic accuracy, were re-interpreted (heads-up) using DAIS imagery (1m2 4 band aerial imagery). August 2003 Final GIS database delivered to NPS. Draft reports accepted by NPS and contract with ESRI completed. October 2003 Final accuracy assessment completed and confusion matrices produced. unknown Point Reyes National Seashore Dave Schirokauer GIS Biologist physical

Point Reyes National Seashore

Point Reyes CA 94956 US 415-464-5199 415-464-5183 dave_schirokauer@nps.gov Vector GT-polygon composed of chains 11167 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 Point_Reyes NA NPS OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. NVCSName The standardized name of the vegetation description used in the National Vegetation Classification System (see http://usnvc.org/). Since the NVCS does not have categories for human land use or otherwise unvegetated land, those descriptions were drawn from the California Wildlife Habitat Relationship. NVCSLevel The standardized level of the vegetation description used in the National Vegetation Classification System (see http://usnvc.org/). MapClass The finest level of vegetation type mapped (alliance, association, group or macrogroup); or land use for polygons that are not natural vegetation, per the mapping classification. PI The code that corresponds to a specific land cover type assigned by the photo interpreters. The other attributes in this dataset describe design cover and vegetation types. Detailed descriptions of each vegetative associations and alliance contained in this data set are available in the final report that is associated with this data. 'Classification of the vegetation of Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor, Mt.Tamalpais, and Tomales State Parks in Marin, San Francisco, and San Mateo counties California.' HEIGHT The average height of the dominant life form of current records alliance or association type. Vegetation Map Final Report 1 < 0.5 m Accuracy: Trees-NA, Shrubs-36.6%, Herb-81.4% Final Report 2 0.5-2 meters Accuracy: Trees-50%, Shrubs-74.2%, Herb-72.6% Final Report 3 2-5 meters Accuracy: Trees-37.5%, Shrubs-17.8%, Herb-0% Final Report 4 5-15 meters Accuracy: Trees-68.3%, Shrubs-33.3%, Herb-NA% Final Report 5 15-35 m Accuracy: Trees-17.1%, Shrubs-NA%, Herb-NA Final Report 6 35-50 meters Accuracy: Trees-13.6%, Shrubs-NA%, Herb-NA Final Report 7 > 50 m Accuracy: Trees-0%, Shrubs-NA%, Herb-NA Final Report 9 Not applicable NA DENSITY The percent cover (absolute) class of the dominant vegetative life form in the current records polygon. Please see the Final Report for more detail on the accuracy of this attribute Vegetation Map Final Report 1 Closed / continuous: > 60%. Accuracy: Trees-86.9%, Shrubs-71.7, Herbs-63.7% Vegetation Map Final Report 2 Discontinuous: 40% -- 60% Accuracy: Trees-11.0%, Shrubs-9.1, Herbs-11.1% Vegetation Map Final Report 3 Disbursed: 25% -- 40% Accuracy: Trees-14.7%, Shrubs-35.8, Herbs-40.0% Vegetation Map Final Report 4 Sparse: 10% -- 25% Accuracy: Trees-8.0%, Shrubs-12.1, Herbs-0% Vegetation Map Final Report 5 Rare: 2% -- 10% Accuracy: Trees-0%, Shrubs-0, Herbs-NA Vegetation Map Final Report 9 Not applicable Vegetation Map Final Report FIELD_ID The identifier that links the vegetation map's data to the tabular database containing vegetation plot field data. NPS X_COORD The x-coordinate of the current polygons centroid. Y_COORD The y-coordinate of the current record polygons centroid. ASSOC Association: A plant community based on dominant and up to several associated species. A recurring plant community with a characteristic range in species composition, specific diagnostic species, and a defined range in habitat conditions and physiognomy or structure. The most detailed floristic level of the national vegetation classification system. Detailed descriptions of each vegetative associations and alliance contained in this data set are available in the final report that is associated with this data. 'Classification of the vegetation of Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor, Mt.Tamalpais, and Tomales State Parks in Marin, San Francisco, and San Mateo counties California.' Proposed Standards for Association and Alliances of the U.S. National Vegetation Classification ESA Panel on Vegetation Classification, 2003. ALLIANCE A grouping of associations with a characteristic physiognomy and habitat and which share one or more diagnostic species typically found in the upper most or dominant stratum of the vegetation. Synonymous with series. Part of the national vegetation classification system. Detailed descriptions of each vegetative associations and alliance contained in this data set are available in the final report that is associated with this data. 'Classification of the vegetation of Point Reyes National Seashore, Golden Gate National Recreation Area, Samuel P. Taylor, Mt.Tamalpais, and Tomales State Parks in Marin, San Francisco, and San Mateo counties California.' Proposed Standards for Association and Alliances of the U.S. National Vegetation Classification ESA Panel on Vegetation Classification, 2003. ALLIANC_AC Vegetative Alliance User Accuracy - The percentage of polygons for the current record's alliance where the alliance on the ground matched the alliance on the vegetation map. This value can also be considered the probability that the vegetative alliance on the ground matched the alliance on the vegetation map. The value is based on accuracy assessment protocols: Confidence intervals for each class' accuracy are available in Appendix C. of the final report associated with this project. GROUP_ Physiognomic Group: The level in the classification hierarchy below subclass based on leaf characters and identified and named in conjunction with broadly defined macroclimatic types to provide a structural-geographic orientation (Grossman et al. 1998). GROUP_AC Group user accuracy. The percentage of polygons for the current record's group where the group on the ground matched the group on the vegetation map. This value can also be considered the probability that the vegetative group on the ground matched the group on the vegetation map. The value is based on accuracy assessment protocols: Confidence intervals for each class' accuracy are available in Appendix C. of the final report associated with this project. SUPERAL Superalliance: The superalliance level (in our vegetation classification hierarchy) groups vegetative associations and/or alliances based on shared dominant species or other shared floristic, physiognomic and ecological properties. This grouping provides an ecological perspective on associations and alliances, emphasizing the shared geographic, site, and disturbance factors that shape vegetation patterns. These superalliances are aggregations of vegetation associations and alliances that are narrower than the formation level of the USNVC. The superalliances were determined by analyzing the TWINSPAN and cluster analysis diagrams of the vegetation plots. Superalliance groups were typically defined by the low - level breaks in TWINSPAN and Cluster Analysis algorithms, we also call them microclusters indicating their low - level position in the numerical classification of the plots. SUPERAL_AC Superalliance user accuracy. MESOCLUSTE Mesocluster: The mesocluster level (in our vegetation classification hierarchy) groups vegetative associations based on broadly shared ecological processes and floristics. Such groupings provide a more ecological perspective on associations and alliances, emphasizing the shared geographic, site, and disturbance factors that shape vegetation patterns. These mesoclusters may be considered as broad vegetation types within a biogeographic region that share similar habitats (e.g., ecological processes, abiotic factors, and environmental gradients) and that have broadly similar species composition. The mesoclusters are aggregations of vegetation associations that are similar to the USNCV formation level. The mesoclusters were determined by analyzing the TWINSPAN and cluster analysis diagrams of the vegetation plots. Mesocluster groups were typically defined by the mid - level breaks in TWINSPAN and Cluster Analysis algorithms, we call them meso clusters indicating their mid - level position in the numerical classification of the plots. Vegetation Map Final Report MESOCLU_AC Mesocluster user accuracy. The percentage of polygons for the current record's mesocluster where the mesocluster on the ground matched the mesocluster on the vegetation map. This value can also be considered the probability that the vegetative mesocluster on the ground matched the mesocluster on the vegetation map. The value is based on accuracy assessment protocols: Confidence intervals for each class' accuracy are available in Appendix C. of the final report associated with this project. SUPERCLUST Supercluster: Groupings of mesoclusters sharing similar physiognomy and ecological context. These superclusters are aggregations of vegetation associations that are broader than the meoscluster and the superalliance levels in our classification hierarchy, and are similar to the sub-class level of the USNVC. The superclusters were determined by analyzing the TWINSPAN and cluster analysis diagrams of the vegetation plots. Supercluster groups were typically defined by the coarse - level breaks in TWINSPAN and Cluster Analysis algorithms, we call them superclusters indicating their coarse (broadest) - level position in the numerical classification of the plots. Vegetation Map Final Report SUPERCL_AC Supercluster user accuracy. COMMUNITY Community: A grouping of vegetation alliances by physiognomy, floristics and distinctive ecological habitat for management purposes. National Park Service (NPS) COMMUNI_AC Community user accuracy. The percentage of polygons for the current records where the community on the ground matched the community on the vegetation map. This value can also be considered the probability that the vegetative community on the ground matched the community on the vegetation map. The value is based on accuracy assessment protocols: Confidence intervals for each class' accuracy are available in Appendix C. of the final report associated with this project. LIFE_FORM Life form. Vegetation Map Final Report h herbaceous n non-vegetated s shrub t tree LIFE_FO_AC Life form user accuracy. CWHR_AC California While Habitat Relations user accuracy. The percentage of polygons for the current record's CWHR type where the CWHR type on the ground matched the CWHR type on the vegetation map. This value can also be considered the probability that the CWHR type on the ground matched the CWHR type on the vegetation map. The value is based on accuracy assessment protocols: Confidence intervals for each class' accuracy are available in Appendix C. of the final report associated with this project. WETLAND All upland types are called 'upland' in this attribute while the wetlands are described by their alliance. Use to help map areas likely to contain wetlands. National Park Service (NPS) LEGEND_ORD The numeric order for a maps legend to be displayed in an ecologically meaningful way grouped by mesocluster. FUEL_MODEL The Anderson fuel model number under average weather conditions. Anderson, Hal E. 1982. Aids to determining fuel models for estimating fire behavior. General Technical Report INT-122. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station; 22 p. EXTRME_FM Anderson fuel model under extreme weather conditions. Anderson, HE. 1982. Aids to Determining Fuel Models For Estimating Fire Behavior. USDA Forest Service, General Technical Report INT-122. Intermountain Forest and Range Experiment Station, Ogden, UT. 22 p. PRCT_DNSTY The mid-point of the Density class for the current polygon. Used to derive fuel model. Anderson, HE. 1982. Aids to Determining Fuel Models For Estimating Fire Behavior. USDA Forest Service, General Technical Report INT-122. Intermountain Forest and Range Experiment Station, Ogden, UT. 22 p. HGHT_MIDPT Midpoint of the height class for the current polygon. Used to determine fuel model. Anderson, HE. 1982. Aids to Determining Fuel Models For Estimating Fire Behavior. USDA Forest Service, General Technical Report INT-122. Intermountain Forest and Range Experiment Station, Ogden, UT. 22 p. TREE_CANOP Absolute crown density for trees. 6 2% - 10% crown density 18 10% - 25% crown density 38 25% - 40% crown density 50 40% - 60% crown density 80 >60% crown density 0 Not Applicable CalVegName A crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. See http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192. CalVegCode A crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. See http://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. See http://www.dfg.ca.gov/biogeodata/cwhr/. CWHRCode A crosswalk to the California Wildlife Habitat Relationships system. Note that there is usually a one-to-many relationship between CWHR and NVCS. See http://www.dfg.ca.gov/biogeodata/cwhr/. GlobalRank The global rarity rank of the plant community mapped (only for alliances). G1 and S1: Fewer than 6 viable occurrences worldwide and/or 2000 acres; G2 and S2: 6-20 viable occurrences worldwide and/or 2000-10,000 acres; G3 and S3: 21-100 viable occurrences worldwide and/or 10,000-50,000 acres; G4 and S4: Greater than 100 viable occurrences worldwide and/or greater than 50,000 acres; G5 and S5: Community demonstrably secure due to secure worldwide and statewide abundance. See: http://www.natureserve.org/publications/ConsStatusAssess_RankMethodology.jsp. StateRank The state rarity rank of the plant community mapped (only for alliances). G1 and S1: Fewer than 6 viable occurrences worldwide and/or 2000 acres; G2 and S2: 6-20 viable occurrences worldwide and/or 2000-10,000 acres; G3 and S3: 21-100 viable occurrences worldwide and/or 10,000-50,000 acres; G4 and S4: Greater than 100 viable occurrences worldwide and/or greater than 50,000 acres; G5 and S5: Community demonstrably secure due to secure worldwide and statewide abundance. See: http://www.natureserve.org/publications/ConsStatusAssess_RankMethodology.jsp. CACode CaCode: California Natural Community Codes - unique code assigned to alliances and associations. Rare Rarity of the vegetation type. Alliances and associations with state ranks of S1-S3 are considered rare. Y Rare N Not Rare U Unknown NVCSAlliance The standardized name for the alliance within the National Vegetation Classification System. See http://usnvc.org/. NVCSGroup The standardized name for the group within the National Vegetation Classification System. See http://usnvc.org/. NVCSMG The standardized name for the macrogroup within the National Vegetation Classification System. See http://usnvc.org/. UID Unique identifier for each polygon. California Department of Fish and Wildlife (CDFW) Acres Acres reported in square meters. Hectares GIS-calculated area measurements of each mapped polygon. PERIM_MILE Perimeter reported in miles. Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. The system is organized hierarchically to support conservation and resource stewardship application across multiple scales. The upper levels of the hierarchy (life form and supercluster) are based on the physical form or structure of the vegetation (physiognomy) and have been refined from the international standards developed by the United Nations Educational Scientific, and Cultural Organization (UNESCO). The two most detailed levels of the hierarchy (association and alliance) are based on the species composition of the existing vegetation (floristics) and reflect the phyto-sociological standards that were originally developed by European ecologists. The middle levels of the classification (superalliance and mesocluster) were developed specifically for this project and are based on the ecological similarity between plant alliances. The superalliance, mesocluster, and supercluster membership was determined by clustering of vegetation plots evident in an ordination analyses conducted as part of this project and expert knowledge of the plant communities in the study area. The vegetation classification is continually advanced through the collection and analysis of new field data and will be greatly strengthened during the course of future NPS mapping efforts. Please refer to the final report for detailed descriptions of the plant communities classified and mapped during this project. Note: certain fields have been added by the Department of Fish and Wildlife's Vegetation Classification and Mapping Program. These include crosswalks to the CalVeg classification systems, Global and State Ranks, CaCode and the fields relating the mapping units to the National Vegetation Classification System as it is described for California in the 2nd edition of the Manual of California Vegetation. NA Point Reyes National Seashore Dave Schirokauer GIS Biologist physical

Point Reyes National Seashore

Point Reyes CA 94956 US 415-464-5199 415-464-5183 dave_schirokauer@nps.gov Download from the NPS GIS Clearing house: http://www.nps.gov/gis/data_info/clearinghouse.html The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics (i.e. ""GIF"" or ""JPG"" format files) are not legal documents and are not intended to be used as such. Description: PORE-GOGA Plant Community Map. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on computer systems at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on other systems for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. shp 1 ESRI Shapefile WinZIP http://www.nps.gov/gis/data_info/clearinghouse.html Download from the NPS GIS Clearing house: http://www.nps.gov/gis/data_info/clearinghouse.html http://nrdata.nps.gov/pore/poredata/vegetation-pore&goga-1994.zip None Download from website, phone call or send email to request FTP download. 20050101 present 20160229 20140923 Point Reyes National Seashore Dave Schirokauer GIS Biologist physical

Point Reyes National Seashore

Point Reyes CA 94956 US 415-464-5199 415-464-5183 dave_schirokauer@nps.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time