This map shows the boundaries of Resource Conservation Districts and their Spheres of Influence within San Bernardino County, California.

California Nature Conserved Areas Explorer The Conserved Areas Explorer is a web application enabling users to investigate a synthesis of the best available data representing lands and coastal waters of California that are durably protected and managed to support functional ecosystems, both intact and restored, and the species that rely on them. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.Terrestrial and Freshwater Data• The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or group of parcels, such that the spatial features of CPAD correspond to ownership boundaries. • The California Conservation Easement Database (CCED), also managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity. Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership. • The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such, boundaries represented within it may not align with other data sources. • Numerous datasets representing designated boundaries for entities such as National Parks , and Monuments, Wild and Scenic Rivers, Wilderness Areas, and others, were downloaded from publicly available sources, typically hosted by the managing agency.Methodology1. CPAD and CCED represent the most accurate location and ownership information for parcels in California which contribute to the preservation of open space and cultural and biological resources.2. Superunits are collections of parcels (Holdings) within CPAD which share a name, manager, and access policy. Most Superunits are also managed with a generally consistent strategy for biodiversity conservation. Examples of Superunits include Yosemite National Park, Giant Sequoia National Monument, and Anza-Borrego Desert State Park. 3. Some Superunits, such as those owned and managed by the Bureau of Land Management, U.S. Forest Service, or National Park Service , are intersected by one or more designations, each of which may have a distinct management emphasis with regards to biodiversity. Examples of such designations are Wilderness Areas, Wild and Scenic Rivers, or National Monuments.4. CPAD Superunits were intersected with all designation boundary files to create the operative spatial units for conservation analysis, henceforth 'Conservation Units,' which make up the Conserved Areas Map Layer. Each easement was functionally considered to be a Superunit. 5. Each Conservation Unit was intersected with the PAD-US dataset in order to determine the management emphasis with respect to biodiversity, i.e., the GAP code. Because PAD-US is national in scope and not specifically parcel aligned with California assessors' surveys, a direct spatial extraction of GAP codes from PAD-US would leave tens of thousands of GAP code data slivers within the Conserved Areas Map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single GAP code was uniformly assigned that code. Additionally, the total area of GAP codes 1 and 2 were summed for the remaining uncoded Conservation Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2. 6. Subsequent to this stage of analysis, certain Conservation Units remained uncoded, either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset. 7. These uncoded Conservation Units were then broken down into their constituent, finer resolution Holdings, which were then analyzed according to the above workflow. 8. Areas remaining uncoded following the two-step process of coding at the Superunit and Holding levels were assigned a GAP code of 4. This is consistent with the definition of GAP Code 4: areas unknown to have a biodiversity management focus. 9. Greater than 90% of all areas in the Conserved Areas Explorer were GAP coded at the level of Superunits intersected by designation boundaries, the coarsest unit of analysis. By adopting this coarser analytical unit, the Conserved Areas Explorer maintains a greater level of user responsiveness, avoiding the need to maintain and display hundreds of thousands of additional parcel records, which in most cases would only reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.Marine Data • The Conserved Areas Explorer displays the network of 124 Marine Protected Areas (MPAs) along coastal waters and the shoreline of California. There are several categories of MPAs, some permitting varying levels of commercial and recreational fishing and waterfowl hunting, while roughly half of all MPAs do not permit any harvest. These data include all of California's marine protected areas (MPAs) as defined January 1, 2019. This dataset reflects the Department of Fish and Wildlife's best representation of marine protected areas based upon current California Code of Regulations, Title 14, Section 632: Natural Resources, Division 1: FGC- DFG. This dataset is not intended for navigational use or defining legal boundaries.Tracking Conserved AreasThe total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing improvements in our understanding of existing biodiversity conservation efforts. The California Nature Conserved Areas Explorer is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data. CPAD, CCED, and PAD-US are built from the ground up. These terrestrial data sources are derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Conserved Areas Explorer, please use this link to initiate a review. The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.

The Terrestrial 30x30 Conserved Areas map layer was developed by the CA Nature working group, providing a statewide perspective on areas managed for the protection or enhancement of biodiversity. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.Terrestrial and Freshwater Data• The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or small group of parcels, such that the spatial features of CPAD correspond to ownership boundaries. • The California Conservation Easement Database (CCED), managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity. Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership. • The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such, boundaries represented within it may not align with other data sources. • Numerous datasets representing designated boundaries for entities such as National Parks and Monuments, Wild and Scenic Rivers, Wilderness Areas, and others, were downloaded from publicly available sources, typically hosted by the managing agency.Methodology1. CPAD and CCED represent the most accurate location and ownership information for parcels in California which contribute to the preservation of open space and cultural and biological resources.2. Superunits are collections of parcels (Holdings) within CPAD which share a name, manager, and access policy. Most Superunits are also managed with a generally consistent strategy for biodiversity conservation. Examples of Superunits include Yosemite National Park, Giant Sequoia National Monument, and Anza-Borrego Desert State Park. 3. Some Superunits, such as those owned and managed by the Bureau of Land Management, U.S. Forest Service, or National Park Service , are intersected by one or more designations, each of which may have a distinct management emphasis with regards to biodiversity. Examples of such designations are Wilderness Areas, Wild and Scenic Rivers, or National Monuments.4. CPAD Superunits and CCED easements were intersected with all designation boundary files to create the operative spatial units for conservation analysis, henceforth 'Conservation Units,' which make up the Terrestrial 30x30 Conserved Areas map layer. Each easement was functionally considered to be a Superunit. 5. Each Conservation Unit was intersected with the PAD-US dataset in order to determine the management emphasis with respect to biodiversity, i.e., the GAP code. Because PAD-US is national in scope and not specifically parcel aligned with California assessors' surveys, a direct spatial extraction of GAP codes from PAD-US would leave tens of thousands of GAP code data slivers within the 30x30 Conserved Areas map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single GAP code was uniformly assigned that code. Additionally, the total area of GAP codes 1 and 2 were summed for the remaining uncoded Conservation Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2. 6. Subsequent to this stage of analysis, certain Conservation Units remained uncoded, either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset. 7. These uncoded Conservation Units were then broken down into their constituent, finer resolution Holdings, which were then analyzed according to the above workflow. 8. Areas remaining uncoded following the two-step process of coding at the Superunit and then Holding levels were assigned a GAP code of 4. This is consistent with the definition of GAP Code 4: areas unknown to have a biodiversity management focus. 9. Greater than 90% of all areas in the Terrestrial 30x30 Conserved Areas map layer were GAP coded at the level of CPAD Superunits intersected by designation boundaries, the coarsest land units of analysis. By adopting these coarser analytical units, the Terrestrial 30X30 Conserved Areas map layer avoids hundreds of thousands of spatial slivers that result from intersecting designations with smaller, more numerous parcel records. In most cases, individual parcels reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.Tracking Conserved AreasThe total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing improvements in our understanding of existing biodiversity conservation efforts. The California Nature Project is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to investigate how their lands are represented in the Terrestrial 30X30 Conserved Areas Map Layer. This can be accomplished by using the Conserved Areas Explorer web application, developed by the CA Nature working group. Users can zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data. CPAD, CCED, and PAD-US are built from the ground up. Data is derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Terrestrial 30X30 Conserved Areas map layer, please use this link to initiate a review. The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.

District boundaries for the Geologic Energy Management Division in the California Department of Conservation. CalGEM is the Geologic Energy Management Division of the California Department of Conservation, formerly the Division of Oil, Gas, and Geothermal Resources (as of January 1, 2020).Update Frequency: None Planned, last updated 2022.

An RCIS is a voluntary, non-regulatory, and non-binding conservation assessment that includes information and analyses relating to the conservation of focal species, habitats, and other conservation elements in the RCIS area. Any public agency may develop an RCIS. An RCIS establishes biological goals and objectives at the species level and describes conservation actions and habitat enhancement actions that, if implemented, will contribute to those goals and objectives. Those actions will benefit the conservation of focal species, habitats, and other natural resources, and they may be used as a basis to provide advance mitigation through the development of credits or to inform other conservation investments.

The San Bernardino Valley Water Conservation District (SBVWCD) contracted AECOM to produce an association-level vegetation classification and map of lands owned and/or managed by the District in the Upper Santa Ana River Wash. The classification is consistent with the Manual of California Vegetation (MCV) (CNPS 2018), and vegetation sampling methods followed National Park Service (NPS) Vegetation Index protocols. The mapping study area consists of approximately 2,200-acres near Mentone, in San Bernardino, California. Approximately 1,500-acres lie within the Preserve set aside for the Upper Santa Ana River Wash Habitat Conservation Plan. The primary purpose of this project was to provide the District a consistent system for the mapping of vegetation on its lands. Vegetation mapping is conducted periodically by the District to inform various environmental and species management initiatives.All plot data collection took place May 2-5, 2025. Four-band (RGB and color NIR) aerial imagery was collected May 4, 2022. All image acquisition, processing, and ortho-rectification were conducted by GeoTerra, Inc. Polygons were drawn using a minimum mapping unit (MMU) of 0.5 acre, and vegetation attributes assigned using the vegetation key provided in the newly created classification. Field reconnaissance was conducted by the photo-interpreter during the earliest stages of mapping to establish photo-signature recognition for each alliance and association. There were a total of 21 mapping classes. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3212.zip

CDFW BIOS GIS Dataset, Contact: AIS Aquatic Invasive Species Control Program, Description: This dataset was compiled by Tahoe RCD to record the status of aquatic invasive plant control sites and document control work implemented at these sites. It includes data obtained from Tahoe RCD, TRPA, USFS, CTC, and California State Parks. This dataset is used to allocate resources and plan aquatic invasive plant control work in the Lake Tahoe Basin Region.

🇺🇸 United States English The San Bernardino Valley Water Conservation District (SBVWCD) contracted AECOM to produce an association-level vegetation classification and map of lands owned and/or managed by the District in the Upper Santa Ana River Wash. The classification is consistent with the Manual of California Vegetation (MCV) (CNPS 2018), and vegetation sampling methods followed National Park Service (NPS) Vegetation Index protocols. The mapping study area consists of approximately 2,200-acres near Mentone, in San Bernardino, California. Approximately 1,500-acres lie within the Preserve set aside for the Upper Santa Ana River Wash Habitat Conservation Plan. The primary purpose of this project was to provide the District a consistent system for the mapping of vegetation on its lands. Vegetation mapping is conducted periodically by the District to inform various environmental and species management initiatives.All plot data collection took place May 2-5, 2025. Four-band (RGB and color NIR) aerial imagery was collected May 4, 2022. All image acquisition, processing, and ortho-rectification were conducted by GeoTerra, Inc. Polygons were drawn using a minimum mapping unit (MMU) of 0.5 acre, and vegetation attributes assigned using the vegetation key provided in the newly created classification. Field reconnaissance was conducted by the photo-interpreter during the earliest stages of mapping to establish photo-signature recognition for each alliance and association. There were a total of 21 mapping classes. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3212.zip

description: This map demonstrates the spatial location and total number of refuges within the California LCC, and USFWS regional boundaries.; abstract: This map demonstrates the spatial location and total number of refuges within the California LCC, and USFWS regional boundaries.

This is the boundary layer of the Mulit-Species Habitat Conservation Plan (MSHCP). Western MSHCP boundary also used for Western MSHCP Open Space Fee Area. Per Ord. 810, Sec 8.Section 8. Western Riverside County Multiple Species Habitat Conservation Plan Fee Area Boundary. The boundary of the Western Riverside County Multiple Species Habitat Conservation Plan Fee Area is the same as the MSHCP boundary as set forth in that document entitled MSHCP Plan Area Map dated June 2003, which is on file with the Clerk of the Board.

There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). Geospatial data from the DOGGR were used in the prioritization analysis. Dataset include geospatial data for 222,637 petroleum wells, administrative boundaries for 514 oil, gas, and geothermal fields, and boundaries for DOGGR's 6 juristictional districts. The data were downloaded from DOGGR's Geographic Information System (GIS) Mapping website at http://www.conservation.ca.gov/dog/maps. The DOGGR GIS Mapping website is periodally updated, and the datasets downloaded by the U.S. Geological Survey in 2014 may no longer be available on the DOGGR website.

Los Angeles County Native Tree Restoration Mitigation and Priority Planting PlanLos Angeles County Contract (with RCDSMM) #SPF03-03These layers are for use in determining where to plant native trees in the Santa Monica Mountains National Recreation Area (SMMNRA) for restoration or mitigation purposes, given the fact that the climate is changing and many native trees may not continue to survive or reproduce in their current locations. Native trees are a limited yet key part of the SMMNRA landscape, providing habitat and linkages for many species as well as a diversity of ecosystem services. Project layers include: Study Area; Existing Locations for each species, derived from NPS 2007 Vegetation Mapping data or California Consortium of Herbaria data; and Suitable Habitat RCP 8.5 for each species (future climate projections of suitable habitat for each species). THE SUITABLE HABITAT RCP 8.5 LAYERS HAVE NOT BEEN FIELD-CHECKED; THEREFORE, THESE LAYERS SHOULD BE USED AS GUIDELINES FOR POTENTIAL PLANTING AREAS ONLY. Any potential planting locations should be visited in the field, and proper permitting should be secured. In addition, these layers, and the app, should be used in conjunction with the Los Angeles County Native Tree Priority Planting Plan, available at: https://www.rcdsmm.org/resources/reports-and-publications/Map Catalog – (download location)https://drive.google.com/drive/folders/1sjFlFG-HvUlQVaR0Xm0aqgV4Pc4rqxwS?usp=sharingData Download – (download location)https://drive.google.com/drive/folders/1vgyIpiQ52xZGJA86zbacJMqo055VyZ76?usp=sharingWeb App – (interactive application)CLICK HERE for an application to use in identifying priority planting areas.(https://nps.maps.arcgis.com/apps/webappviewer/index.html?id=552aa3e8797b41d7aab68e0eb20a9521)Project Contact Information:Rosi DagitResource Conservation District of the Santa Monica Mountains540 South Topanga BlvdTopanga, CA 90290818-597-8627rdagit@rcdsmm.org

description: "West Mojave Route Network Project Travel Management Area 2 - Map 7 of 22 (Shows Route Designations Decisions for Alternatives 1, 2, 3 and 4, Planning Area Boundary, Travel Management Area Boundary, Subregion Boundaries, Field Office Boundaries, Surface Management Agencies, Land Ownership, Route Designations, Areas of Critical Environmental Concern, Sensitive Resource Receptors, Restricted Areas, Wilderness Study Areas, Off-highway Vehicle Open Areas, National Monument Boundaries, Special Recreation Management Areas, Desert Linkage Network, Soil Erosion, Air Quality Management Districts, California Air Basins, and Unusual Plant Assemblages) n n n nTMA_02_Map_07_Soda Lake North, West of Soda Lake n n1. Travel Management Area 2 - Map 7 of 22 n2. WEMO Map Index Figure (Locator Map) n3. Map and Resource Data n n a. Labels ni. Route Designation n Motorized n Non-BLM n Non-Mechanized n Non-Motorized n Transportation Linear Disturbance n Route with Subdesignation n WEMO Planning Area n WEMO Travel Management Area n WEMO Subregion n BLM Field Office Boundary nii. Land Ownership n Bureau of Land Management n Forest Service n National Park Service n Fish and Wildlife Service n Bureau of Reclamation n Bureau of Indian Affairs n Department of Defense n Other Federal n State n Local Government n Private n iii. Resource Data n Wilderness Area n Area of Critical Environmental Concern n Active Grazing Allotment n National Conservation Lands n Special Recreation Management Area n Desert Linkage Network n Area Prone to Erosion Due to Slopes Greater than 10 Percent niv. Air Quality Management Districts n Great Basin Unified n v. California Air Basins n Great Basin Valleys n vi. Unusual Plant Assemblage n n b. Base Data n i. City or Town (Data Source: USGS Geographic Names Inventory System) nii. Major Roads (Data Source: US Census TIGER/Line) n iii. County Boundary (Data Source: ESRI) niv. BLM Field Office Boundary (Data Source: BLM State Office) n n c. WEMO Planning Boundaries n i. WEMO Planning Area (Data Source: BLM State Office) n ii. Travel Management Area 2 (Data Source: BLM Barstow Field Office) n iii. Subregions - (Data Source: BLM Barstow Field Office) n n d. Project Alternatives n i. Alternative 1 - No Action (Data Source: BLM Barstow Field Office) n ii. Alternative 2 Conservation (Data Source: BLM Barstow Field Office) n iii. Alternative 3 Increased Access (Data Source: BLM Barstow Field Office) n iv. Alternative 4 - Preferred (Data Source: BLM Barstow Field Office) n n e. Non-BLM Routes or routes not under BLM jurisdiction (Data Source: BLM State Office) n n f. Resource Descriptions and Data Sources n n i. Residential Area are areas near residences (Data Source: BLM State Office) n ii. Wilderness Areas are areas that include federally designated wildernesses (Data Source: BLM State Office) n iii. Area of Critical Environmental Concern are federally protected areas with special natural resources (Data Source: BLM State Office) n iv. National Monuments are federally designated through Presidential Proclamation (Data Source: BLM State Office) n v. National Conservation Lands are lands that the Bureau of Land Management for conservation purposes federally designates these (Data Source: BLM State Office) n vi. Areas Prone to Erosion are areas that are likely to experience erosion (Data Source: BLM State Office) n vii. Air Quality Management Districts are federally designated air quality districts with boundaries (Data Source: CA Air Resource Board) n viii. California Air Basins are designated by California with boundaries (Data Source: CA Air Resource Board) n"; abstract: "West Mojave Route Network Project Travel Management Area 2 - Map 7 of 22 (Shows Route Designations Decisions for Alternatives 1, 2, 3 and 4, Planning Area Boundary, Travel Management Area Boundary, Subregion Boundaries, Field Office Boundaries, Surface Management Agencies, Land Ownership, Route Designations, Areas of Critical Environmental Concern, Sensitive Resource Receptors, Restricted Areas, Wilderness Study Areas, Off-highway Vehicle Open Areas, National Monument Boundaries, Special Recreation Management Areas, Desert Linkage Network, Soil Erosion, Air Quality Management Districts, California Air Basins, and Unusual Plant Assemblages) n n n nTMA_02_Map_07_Soda Lake North, West of Soda Lake n n1. Travel Management Area 2 - Map 7 of 22 n2. WEMO Map Index Figure (Locator Map) n3. Map and Resource Data n n a. Labels ni. Route Designation n Motorized n Non-BLM n Non-Mechanized n Non-Motorized n Transportation Linear Disturbance n Route with Subdesignation n WEMO Planning Area n WEMO Travel Management Area n WEMO Subregion n BLM Field Office Boundary nii. Land Ownership n Bureau of Land Management n Forest Service n National Park Service n Fish and Wildlife Service n Bureau of Reclamation n Bureau of Indian Affairs n Department of Defense n Other Federal n State n Local Government n Private n iii. Resource Data n Wilderness Area n Area of Critical Environmental Concern n Active Grazing Allotment n National Conservation Lands n Special Recreation Management Area n Desert Linkage Network n Area Prone to Erosion Due to Slopes Greater than 10 Percent niv. Air Quality Management Districts n Great Basin Unified n v. California Air Basins n Great Basin Valleys n vi. Unusual Plant Assemblage n n b. Base Data n i. City or Town (Data Source: USGS Geographic Names Inventory System) nii. Major Roads (Data Source: US Census TIGER/Line) n iii. County Boundary (Data Source: ESRI) niv. BLM Field Office Boundary (Data Source: BLM State Office) n n c. WEMO Planning Boundaries n i. WEMO Planning Area (Data Source: BLM State Office) n ii. Travel Management Area 2 (Data Source: BLM Barstow Field Office) n iii. Subregions - (Data Source: BLM Barstow Field Office) n n d. Project Alternatives n i. Alternative 1 - No Action (Data Source: BLM Barstow Field Office) n ii. Alternative 2 Conservation (Data Source: BLM Barstow Field Office) n iii. Alternative 3 Increased Access (Data Source: BLM Barstow Field Office) n iv. Alternative 4 - Preferred (Data Source: BLM Barstow Field Office) n n e. Non-BLM Routes or routes not under BLM jurisdiction (Data Source: BLM State Office) n n f. Resource Descriptions and Data Sources n n i. Residential Area are areas near residences (Data Source: BLM State Office) n ii. Wilderness Areas are areas that include federally designated wildernesses (Data Source: BLM State Office) n iii. Area of Critical Environmental Concern are federally protected areas with special natural resources (Data Source: BLM State Office) n iv. National Monuments are federally designated through Presidential Proclamation (Data Source: BLM State Office) n v. National Conservation Lands are lands that the Bureau of Land Management for conservation purposes federally designates these (Data Source: BLM State Office) n vi. Areas Prone to Erosion are areas that are likely to experience erosion (Data Source: BLM State Office) n vii. Air Quality Management Districts are federally designated air quality districts with boundaries (Data Source: CA Air Resource Board) n viii. California Air Basins are designated by California with boundaries (Data Source: CA Air Resource Board) n"

The CDFW Owned and Operated Lands and Conservation Easements dataset is a subset of the CDFW Lands dataset. It contains lands owned (fee title), some operated (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies that may be publicly accessible) and conservation easements held by CDFW. CDFW Owned and Operated Lands and Conservation Easements replaces the prior dataset, DFG Owned and Operated Lands, which included only fee title lands and some operated lands (wildlife areas, ecological reserves, and public/fishing access properties that are leases/agreements with other agencies and that may be publicly accessible). This is a generalized version dataset that has a shorter attribute table than the original and also has been dissolved based on the fields included. Please note that some lands may not be accessible due to the protection of resources and habitat. It is recommended that users contact the appropriate regional office for access information and consult regulations for CDFW lands in Sections 550, 550.1, 551, 552, 630 and 702. The CDFW Lands dataset is a digitized geographical inventory of selected lands owned and/or administered by the California Department of Fish and Wildlife. Properties such as ecological reserves, wildlife areas, undesignated lands containing biological resource values, public and fishing access lands, and CDFW fish hatcheries are among those lands included in this inventory. Types of properties owned or administered by CDFW which may not be included in this dataset are parcels less than 1 acre in size, such as fishing piers, fish spawning grounds, fish barriers, and other minor parcels. Physical boundaries of individual parcels are determined by the descriptions contained in legal documents and assessor parcel maps relating to that parcel. The approximate parcel boundaries are drawn onto U.S. Geological Survey 7.5'-series topographic maps, then digitized and attributed before being added to the dataset. In some cases, assessor parcel or best available datasets are used to digitize the boundary. Using parcel data to adjust the boundaries is a work in progress and will be incorporated in the future. Township, range, and section lines were based on the U.S. Geological Survey 7.5' series topographic maps (1:24,000 - scale). In some areas, the boundaries will not align with the Bureau of Land Management's Public Lands Survey System (PLSS). See the "SOURCE" field for data used to digitize boundary.

In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata.A dataset was made available (approximately 2004) through CALFIRE - FRAP and the California Spatial Information Library (CaSIL), with additional updates throughout subsequent years. More recently, an effort was made to improve the coastal linework by using the previous interior linework from the 24k data, but replacing the coastal linework based on NOAA's ERMA coastal dataset (which used NAIP 2010). In this dataset, all bays (plus bay islands and constructed features) are merged into the mainland, and coastal features (such as islands and constructed features) are not included, with the exception of the Channel Islands which ARE included.This service represents the latest released version, and is updated when new versions are released. As of June, 2019 it represents cnty19_1.

This dataset is for the archival purpose of demonstrating the extent of the Cowcod Conservation Areas. In 2001, access to the continental shelf in the Southern California Bight was restricted by the implementation of the Cowcod Conservation Areas (CCAs) that prohibit most bottom fishing. The closed area includes a 4,200 square mile area (Area 1, or Western CCA) off the Palos Verdes Peninsula extending southwards about 90 miles and westward another 50 miles. A smaller area, the "43-fathom spot" (Area 2, or Eastern CCA), which lies 40 miles offshore of San Diego and extends northward and offshore to cover 100 square miles, was also designated a part of the closure area. Starting in 2024, CCA restrictions no longer apply to non-trawl commercial and recreational vessels fishing for groundfish. Attributes Area: ID for each CCA. Name: Informal Description of each area.

Alquist-Priolo Earthquake Fault Zoning Act (1972) and the Seismic Hazards Mapping Act (1990) direct the State Geologist to delineate regulatory "Zones of Required Investigation" to reduce the threat to public health and safety and to minimize the loss of life and property posed by earthquake-triggered ground failures. Cities and counties affected by the zones must regulate certain development "projects" within them. These Acts also require sellers of real property (and their agents) within a mapped hazard zone to disclose at the time of sale that the property lies within such a zone.

NOTE: Fault Evaluation Reports are available for those areas covered by a Regulatory Map however there are reports available for areas outside the Regulatory map boundary. For a complete set of maps available for purchase on CD please contact the CGS Library.

The ultimate goal of this project is to create an updated fine‐scale vegetation map for about 58,000 acres of Orange County, consisting of the 37,000‐acre Orange County Central and Coastal Subregions Natural Community Conservation Plan (NCCP)/Habitat Conservation Plan (HCP) Habitat Reserve System; approximately 9,500 acres of associated NCCP/HCP Special Linkages, Existing Use Areas, and Non‐Reserve Open Space; and approximately 11,000 acres of adjoining conserved open space (study area). The project consisted of three phases.Phase 1: To update vegetation mapping, the Natural Reserve of Orange County (NROC) proposes to use Manual of California Vegetation (MCV) methods (2009), which will be implemented in two stages: Stage 1 – Development of a vegetation classification system for the Central and Coastal Subregions of Orange County that is consistent with the MCV. Stage 2 – Application of the vegetation classification system to create a vegetation map through photointerpretation of available aerial imagery and ground reconnaissance. The MCV methods were developed by the California Department of Fish and Game (CDFG) Vegetation Classification and Mapping Program in collaboration with the California Native Plant Society (CNPS). This approach relies on the collection of quantifiable environmental data to identify and classify biological associations that repeat across the landscape. For areas where documentation is lacking to effectively define all of the vegetation patterns found in California, CDFG and CNPS developed the Vegetation Rapid Assessment Protocol. This protocol guides data collection and analysis to refine vegetation classifications that are consistent with CDFG and MCV standards. Based on an earlier classification by Gray and Bramlet (1992), Orange County is expected to have vegetation types not yet described in the MCV. Using the MCV approach, Rapid Assessment (RA) data was collected throughout the study area and analyzed to characterize these new vegetation types or show concurrence with existing MCV types.Phase 2: Aerial Information Systems, Inc. (AIS) was contracted by the Nature Reserve of Orange County (NROC) to create an updated fine-scale regional vegetation map consistent with the California Department of Fish & Wildlife (CDFW) classification methodology and mapping standards. The mapping area covers approximately 86,000 acres of open space and adjacent urban and agricultural lands including habitat located in both the Central and Coastal Subregions of Orange County. The map was prepared over a baseline digital image created in 2012 by the US Department of Agriculture – Farm Service Agency’s National Agricultural Imagery Program (NAIP). Vegetation units were mapped using the National Vegetation Classification System (NVCS) to the Alliance level as depicted in the second edition of the Manual of California Vegetation (MCV2). One of the most important data layers used to guide the conservation planning process for the 1996 Orange County Central & Coastal Subregion Natural Community Conservation Plan/Habitat Conservation Plan (NCCP/HCP) was the regional vegetation map created in the early 1990s by Dave Bramlett & Jones & Stokes Associates, Inc. (Jones & Stokes Associates, Inc. 1993). Up until now, this same map continues to be used to direct monitoring and management efforts in the NCCP/HCP Habitat Reserve. An updated map is necessary in order to address changes in vegetation makeup due to widespread and multiple burns in the mapping area, urban expansion, and broadly occurring vegetation succession that has occurred over the past 20 years since the original map was created. This update is further necessary in order to conform to the current NVCS, which is supported by the extensive acquisition of ground based field data and subsequent analysis that has ensued in those same 20 years over the region and adjacent similar habitats in the coastal and mountain foothills of Southern California. Vegetative and cartographic comparisons between the newly created 2012 image-based map and the original 1990s era vegetation map are documented in a separate report produced by the California Native Plant Society at the end of 2014.Phase 3: The California Native Plant Society (CNPS) Vegetation Program conducted an independent accuracy assessment of a new vegetation map completed for the natural lands of Orange County in collaboration with Aerial Information Systems (AIS), the California Department of Fish and Wildlife (CDFW), and the Nature Reserve of Orange County (NROC). This report provides a summary of the accuracy assessment allocation, field sampling methods, and analysis results; it also provides an in-depth crosswalk and comparison between the new map and the existing 1992 vegetation map. California state standards (CDFW 2007) require that a vegetation map should achieve an overall accuracy of 80%. After final scoring, the new Orange County vegetation map received an overall user’s accuracy of 87%. The new fine-scale vegetation map and supporting field survey data provide baseline information for long-term land management and conservation within the remaining natural lands of Orange County.Data made available in the OC Data Portal in partnership with UCI Libraries. Methods The project consisted of three phases, each with its own methodology.Phase 1: To update vegetation mapping, the Natural Reserve of Orange County (NROC) usedManual of California Vegetation (MCV) methods (2009), which will be implemented in two stages: Stage 1 – Development of a vegetation classification system for the Central and Coastal Subregions of Orange County that is consistent with the MCV. Stage 2 – Application of the vegetation classification system to create a vegetation map through photointerpretation of available aerial imagery and ground reconnaissance.Phase 2: Aerial Information Systems, Inc. (AIS) was contracted by the Nature Reserve of Orange County (NROC) to create an updated fine-scale regional vegetation map consistent with the California Department of Fish & Wildlife (CDFW) classification methodology and mapping standards.Phase 3: The California Native Plant Society (CNPS) Vegetation Program conducted an independent accuracy assessment of a new vegetation map completed for the natural lands of Orange County in collaboration with Aerial Information Systems (AIS), the California Department of Fish and Wildlife (CDFW), and the Nature Reserve of Orange County (NROC).For more detailed methodology information please consult the README.txt file included with dataset.

Vector polygon map data of sewer districts from San Joaquin County, California, containing 43 features.

A sewer district, also known as a sanitary district or wastewater district, is a local government agency responsible for managing and maintaining sewer systems within a specific geographical area. These districts are tasked with collecting and treating wastewater and sewage from homes, businesses, and industries to prevent pollution of waterways and protect public health.

Sewer districts typically oversee the construction, operation, and maintenance of sewer pipes, pump stations, treatment plants, and other infrastructure necessary for wastewater management. They may also implement regulations and programs to promote water conservation and pollution prevention within their jurisdiction.

This sewer district data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.