Per hectare estimate of live aboveground tree carbon for a pixel.
Source: USFS,. 2015. https://www.fs.usda.gov/rds/archive/catalog/RDS-2013-0004
The Farmland Mapping and Monitoring Program (FMMP) provides data to decision makers for use in planning for the present and future use of California's agricultural land resources. The data is a current inventory of agricultural resources. This data is for general planning purposes and has a minimum mapping unit of ten acres.
Source: CA Dept of Conservation 2016, 2018. https://maps.conservation.ca.gov/agriculture/#datalist
The annual probability of wildfire burning in a specific location.
Source: USFS 2020. https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0016
Provides a list of all CNDDB-tracked elements (taxa or natural communities) that have been documented by the CNDDB to occur on a particular USGS 7.5 minute topographic quad.
Source: CDFW 2020. https://map.dfg.ca.gov/metadata/ds2853.html?5.92.26
To identify California’s most environmentally burdened and vulnerable communities. Pollution burden and population characteristics. CalEnviroScreen is a science-based mapping tool that helps identify California communities that are most affected by many sources of pollution, and that are often especially vulnerable to pollution’s effects. CalEnviroScreen uses environmental, health, and socioeconomic information to produce a numerical score for each census tract in the state.
This data shows the Final Score which is Pollution Burden + Population Characteristics.
Source: OEHHA, CalEPA 2017. https://oehha.ca.gov/calenviroscreen/about-calenviroscreen
Protected lands as shown in the California Protected Areas Database (CPAD) and California Conservation easements Database (CCED)
Source: various. https://www.calands.org/
Farmland classification identifies map units as prime farmland, farmland of statewide importance, farmland of local importance, or unique farmland. It identifies the location and extent of the soils that are best suited to food, feed, fiber, forage, and oilseed crops.
The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available.
This geospatial dataset depicts ownership patterns of forest land across the conterminous United States. Eight ownership categories are modeled, including three public ownerships: federal, state, and local; four private categories: family, corporate, Timber Investment Management Organization (TIMO) and Real Estate Investment Trust (REIT), and other private (including conservation organizations and unincorporated associations); and Native American tribal land. The data are modeled from Forest Inventory and Analysis (FIA) points from 2012-2017 and the most up-to-date publicly available boundaries of federal, state, and tribal lands.
Source: USFS 2020. https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0044
Applied current approaches in conservation planning to prioritize California watersheds for management of biodiversity using the Zonation software. Considers presence/absence of herpetofauna and fishes; observations of freshwater-dependent mammals, selected invertebrates, and plants; maps of freshwater habitat types; measures of habitat condition and vulnerability; and current management status.
Source: TNC 2018. https://databasin.org/datasets/b03819ca45bc46aa912966bb062763ee
Depicts future land use scenario for a variety of years, climate models and projected emissions/population scenarios. For the web tool, the data sub-commitee chose to include future land use in 2050 using the SSP5 (Shared Socioeconomic Pathways) scenario RCP8.5 (Representative Concentration Pathways) scenario and the HADGEM2-ES climate model. The SSP5 scenario assumes a rapidly growing global economy and a heavy reliance on fossil fuels. U.S. population exceeds 730 million by 2100. Migration flows in this scenario are concentrated towards mid-sized cities to reflect population growth in suburban and exurban areas. The RCP8.5 scenario assumes that global greenhouse gas emissions increase through the year 2100. The HADGEM2-ES climate model performs well for CA and projects a warmer/drier future. It is also one of the models used in the CA climate assessment.
Source: ICLUS 2017 https://iclus.epa.gov/
Boundaries of the unincorporated county and incorporated cities. The boundaries are based on the State Board of Equalization tax rate area maps. Some differences may occur between actual recorded boundaries and boundary placement in the tax rate area GIS map.
Source: State Board of Equalization 2020.
Polygons of "traditional territories". Data created through research efforts and community contribution. "Traditional territories" of indigenous groups (acknowledging this idea is flawed and does rely to some degree on colonial structures of land boundaries, certain types of sources, and ignores migration and the complexities of real-life Indigenous societies.)
Source: native-land.ca 2020. https://native-land.ca/
Source: This data was obtained from SCLTC members in 2020 and early 2021. The Member Conserved Lands include completed projects along with some projects that are planned or in progress.
Depicts point location of existing mitigation banks and in-lieu fee sites. Status field indicates current status.
Source: RIBITS 2020. https://ribits.usace.army.mil/ords/f?p=107:2:15202464317098::NO::
Contains a multi-benefits prioritization layer, and multiple other layers based on ecosystem targets (climate, water quality, etc.), and species (fish, bird, amphibian).
Source: Point Blue, The Sierra Meadows Partnership 2017. https://databasin.org/galleries/e19c0e7c12924434a36b19422b15856b#expand=178859%2C178858%2C178856%2C178857
Depicts large, relatively natural habitat blocks that support native biodiversity (Natural Landscape Blocks) and areas essential for ecological connectivity between them. This coarse-scale map was based primarily on the concept of ecological integrity, rather than the needs of particular species.
Source: CDFW 2014. https://map.dfg.ca.gov/metadata/ds0621.html?5.89.14c
TPL Park Access identifies block groups that do not have access to a park within a 10 minute walk. Area analyzed is limited to census designated places.
Source: Trust for Public Land 2020. https://www.tpl.org/parkserve/downloads
Pacific Crest Trail, John Muir Trail, National Historic Trails, National Scenic Byways, California Scenic Highways
Shows a comprehensive picture of connectivity in California along with the movement pathways that connect current habitat.
Source: TNC 2018. https://omniscape.codefornature.org/#/analysis-tour
The purpose of the California Integrated Assessment of Watershed Health (the Assessment) is to identify healthy watersheds and characterize relative watershed health across the state to guide future protection initiatives. A healthy watershed has the structure and function in place to support healthy aquatic ecosystems. It is characterized as having either in its entirety, or as key components: intact and functioning headwaters, wetlands, floodplains, riparian corridors, biotic refugia, instream and lake habitat, and biotic communities; natural vegetation in the landscape; natural hydrology (e.g., range of instream flows and lake levels); sediment transport and fluvial geomorphology; and natural disturbance regimes expected for its location.
Source: EPA (via DataBasin) 2013. https://databasin.org/datasets/84270b4364174451ae978f9872e30574
Relative Watershed Vulnerability scores represent a best approximation of the potential for future degradation of aquatic ecosystem health. They depict projected changes in natural and anthropogenic watershed characteristics that are related to aquatic ecosystem health rather than explicit changes in physical, chemical, and biological stream conditions. The index is most valuable when used in conjunction with information on current levels of watershed health, such as Relative Watershed Condition Index scores and/or Relative Stream Health Index scores.
Source: EPA (via DataBasin) 2013. https://databasin.org/datasets/8a564df851b849ff95b57e6486f957ea
Brings together resilience, permeability, and diversity to develop a connected network of sites that both represents the full suite of geophysical settings and has the connections and networks necessary to support the continued rearrangement of species in response to change.
California Aquatic Resources Inventory (CARI) Streams: The current version of CARI is a compilation of local, regional, and statewide aquatic resource GIS datasets into a seamless, statewide coverage of aquatic resources that employs a common wetland classification system.
Source: CDFW 2017. https://map.dfg.ca.gov/metadata/ds2836.html?5.92.26
Approximate service areas of SCLTC member organizations.
Source: SCLTC members 2020.
Source: Southern Sierra Partnership. https://consbio.org/products/projects/southern-sierra-partnership
Soil organic carbon stock estimate (SOC) in standard zone 3 (0-30 cm depth). The concentration of organic carbon present in the soil expressed in grams C per square meter to a depth of 30 cm.
Summary of the best available information on species biodiversity in California, and is based on species occurrence and distribution information for amphibians, aquatic macroinvertebrates, birds, fish, mammals, plants, and reptiles.
Source: CDFW 2018. https://map.dfg.ca.gov/metadata/ds2769.html?5.84.09
This data set was developed to support conservation planning efforts by allowing users to spatially evaluate the distribution of terrestrial significant habitats across the landscape. Terrestrial Significant Habitats may include habitats or vegetation types that are the focus of state, national, or locally legislated conservation laws, as well as key habitat areas that are essential to the survival and reproduction of focal wildlife species. The Terrestrial Significant Habitats data set is expected to be used along with other ACE datasets to provide a robust assessment of the presence and relative importance of elements important for biodiversity conservation.
Source: CDFW 2020. https://map.dfg.ca.gov/metadata/ds2721.html?5.84.09
CALVEG Existing Vegetation depicts existing vegetation. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR)
National Hydrography Data Plus High Resolution (NHD Plus HR) HUC8 Watersheds and HUC12 Watersheds.
Source: NHD 2018/2019. https://www.usgs.gov/core-science-systems/ngp/national-hydrography/nhdplus-high-resolution
California Aquatic Resources Inventory (CARI) Wetlands: The current version of CARI is a compilation of local, regional, and statewide aquatic resource GIS datasets into a seamless, statewide coverage of aquatic resources that employs a common wetland classification system.
Source: CDFW 2017. https://map.dfg.ca.gov/metadata/ds2835.html?5.92.26
California Wild and Scenic Rivers, National Wild and Scenic Rivers
Source: various. https://gis.data.ca.gov/datasets/CDFW::wild-and-scenic-rivers-state-designations-only-california-ds950?geometry=-132.330%2C38.736%2C-111.423%2C41.672
An index that quantifies the relative potential for wildfire that may be difficult to control, used as a measure to help prioritize where fuel treatments may be needed.
Source: USFS 2020. https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0016