California Coastal Live Oak Woodland

EVT 7113California Coastal Live Oak Woodland and Savanna
CES206.937GNRTreeHardwood
Summary
These Quercus agrifolia-dominated woodlands occur throughout the Pacific coastal areas from Sonoma County, California, south to Baja California. Occurrences vary in canopy cover from dense conditions that support sparse understory vegetation of Rubus ursinus, Symphoricarpos mollis, Heteromeles arbutifolia, and Toxicodendron diversilobum, to more open conditions with perennial bunchgrass understory. The latter typically occur on south-facing slopes with soils of variable depth. Variable canopy densities in existing occurrences are likely due to variation in soil moisture regime, natural patch dynamics of fire, and land use (fire suppression, livestock grazing, herbivory, etc.).
Source: NatureServe Explorer
Environment
This system is found mainly below 500 m elevation in foothill environments (but up to 1200 m) on alluvial terraces, canyon bottoms, streambanks, slopes, and flats. It is typically found within 100 km of the coast, largely within the coastal fog belt (Allen-Diaz et al. 2007). Soils are moderately to well-drained, deep, sandy or loamy with high organic matter. More open occurrences with perennial bunchgrass undergrowth are typically on south-facing slopes with soils of variable depth. Annual precipitation is 40-80 cm, with January mean minimum daily temperatures of 5-10°C and July mean maximum daily temperatures of 18-23°C.
Source: NatureServe Explorer
Dynamics
From Sawyer et al. (2009): Dominant tree root system contains both roots that tap groundwater and extensive surface-feeding ones (Callaway 1990, as cited in Sawyer et al. 2009). It is the most susceptible of the California oaks to soil drought.

Fire is the dominant disturbance mechanism. Fire severity can range from high in oak woodlands with a high shrub component to moderate or low in open woodlands and savannas with a grass understory. Historically, fire occurred frequently, and the dominant oaks are resistant to low-intensity surface fires (Allen-Diaz et al. 2007). Lightning-ignited fires are uncommon but human-ignited fires may have occurred frequently given the propensity of aboriginal cultures to burn foothill environments (Keeley 2002, Landfire 2007a). Fire history does exert some effect on fire mosaic turnover, although the effect appears to be short-lived. Also, productivity (e.g., high cover of flammable shrubs and grasses) does not seem to be as strong a control on fire occurrence as meteorology (i.e., hot, dry wind events) in these systems (Landfire 2007a).

From Sawyer et al. (2009): Large trees are exceptionally fire-resistant with the thickest bark of any California oak. They generally recover well from a fire, although severely burned crowns, trunks, and root crowns may require several years to sprout. Smaller trees are less resistant, but even low to moderately severe fires often kill seedlings and saplings. Stands may attain 80 to 100% of their pre-fire densities within 10 years after fire, though fire-return intervals in natural conditions vary widely (Steinberg 2002b, Sugihara et al. 2006).
Source: NatureServe Explorer
Threats
Conversion of this type has commonly come from residential and urban development; conversion to agriculture (clearing for rangeland and pastures). Common stressors and threats include widespread mortality of oaks from exotic pathogen sudden oak death syndrome (Phytophthora ramorum) (Allen-Diaz et al. 2007); land use (fire suppression, livestock grazing, herbivory, etc.). Frequent fires may create shrublands or limit oak invasion of chaparral and grasslands (Mensing 1998), while long fire-free intervals may have allowed an oak expansion (Van Dyke et al. 2001). Some studies suggest that low levels of recruitment may be related to competition from exotic grasses and forbs (Wills 2006), drought, rodent and insect damage, grazing by cattle, seedling and acorn predation by wild, and domestic animals (Landfire 2007a).

In the west central coast regions, regional climate models project mean annual temperature increases of 1.6-1.9°C by 2070. The projected impacts will be warmer winter temperatures, earlier warming in spring and increased summer temperatures. Regional models project a decrease in mean annual rainfall of 61-188 mm by 2070. While there is greater uncertainty about the precipitation projections than for temperature, some projections call for a slightly drier future climate relative to current conditions (PRBO Conservation Science 2011).

In many coastal regions, the interaction between oceanographic and terrestrial air masses may be ecologically important. Intensifying upwelling along the California coast under climate change may intensify fog development and onshore flows in summer months, leading to decreased temperatures and increased moisture flux over land (Snyder et al. 2003, Lebassi et al. 2009, as cited in PRBO Conservation Science 2011). Coastal terrestrial ecosystems could benefit from these changes. However, current trends in fog frequency along the Pacific coast from 1901-2008 have been negative (Johnstone and Dawson 2010, as cited in PRBO Conservation Science 2011), thus the effect of climate change on coastal fog remains uncertain (PRBO Conservation Science 2011). Potential climate change effects could include (PRBO Conservation Science 2011): deep-rooted or phreatophytic species under greater stress and death; drop in groundwater table; more and larger fires; increased fire frequency due to warmer temperatures resulting in drier fuels; increased invasive species due to lack of competition from native species whose vigor is reduced by drought stress, and increased fire intervals favor certain invasive species (Brooks and Minnich 2006); and increased competition for water from all users, and stresses on the already overtaxed water allocation of California agricultural system (PRBO Conservation Science 2011).
Source: NatureServe Explorer
Distribution
Pacific coastal areas from Sonoma County, California, south to Baja California.
Source: NatureServe Explorer
Ecologically Associated Plant Species

Plant species that characterize this ecosystem type, organized by vegetation stratum. These are species ecologically associated with the ecosystem, not confirmed present in any specific area.

Tree canopy

Quercus agrifolia, Umbellularia californica

Shrub/sapling (tall & short)

Heteromeles arbutifolia, Rubus ursinus

Short shrub/sapling

Symphoricarpos mollis

Herb (field)

Toxicodendron diversilobum
Source: NatureServe Ecological System assessment
Ecologically Associated Animals (2)

Animal species ecologically associated with this ecosystem type based on NatureServe assessment. These are species whose habitat requirements overlap with this ecosystem, not confirmed present in any specific roadless area.

Birds (2)

Common NameScientific NameG-Rank
California Scrub JayAphelocoma californicaG5
Acorn WoodpeckerMelanerpes formicivorusG5
Source: NatureServe Ecological System assessment
State Conservation Ranks (1)

Subnational conservation status ranks (S-ranks) assigned by Natural Heritage Programs in each state where this ecosystem occurs. S1 indicates critically imperiled at the state level, S2 imperiled, S3 vulnerable, S4 apparently secure, and S5 secure. An ecosystem may be globally secure but imperiled in specific states at the edge of its range.

StateS-Rank
CASNR
Roadless Areas (24)

Inventoried Roadless Areas where this ecosystem is present, identified from LANDFIRE 2024 Existing Vegetation Type spatial analysis. Coverage indicates the proportion of each area occupied by this ecosystem type.

California (24)

AreaForestCoverageHectares
Bear MountainLos Padres National Forest35.3%130.41
Tepusquet PeakLos Padres National Forest24.0%566.1
LaddCleveland National Forest20.1%431.64
Garcia MountainLos Padres National Forest10.3%328.14
Eagle PeakCleveland National Forest9.1%237.87
ColdwaterCleveland National Forest7.2%245.7
Pine CreekCleveland National Forest7.2%14.67
Black ButteLos Padres National Forest6.1%127.35
ManzanaLos Padres National Forest5.8%49.68
Stanley MountainLos Padres National Forest5.6%330.57
Horseshoe SpringsLos Padres National Forest5.1%292.05
La BreaLos Padres National Forest3.9%220.23
TequepisLos Padres National Forest3.8%137.79
No NameCleveland National Forest3.7%72.72
TrabucoCleveland National Forest3.5%329.58
La PanzaLos Padres National Forest3.1%61.74
Condor PointLos Padres National Forest3.0%180.09
Chalk PeakLos Padres National Forest2.7%81.27
White LedgeLos Padres National Forest2.7%200.07
Bear CanyonLos Padres National Forest2.6%149.94
Los Machos HillsLos Padres National Forest2.1%94.05
Black MountainLos Padres National Forest2.0%139.41
Machesna MountainLos Padres National Forest1.7%86.04
CamuesaLos Padres National Forest1.4%47.88
Methodology and Data Sources

Ecosystem classification: Ecosystems are classified using the LANDFIRE 2024 Existing Vegetation Type (EVT) layer, mapped to NatureServe Terrestrial Ecological Systems via a curated crosswalk. Each EVT is linked to the USNVC (U.S. National Vegetation Classification) hierarchy through pixel-level co-occurrence analysis of LANDFIRE EVT and NatureServe IVC Group rasters across all roadless areas.

Vegetation coverage: Coverage percentages and hectares are derived from zonal statistics of the LANDFIRE 2024 EVT raster intersected with roadless area boundaries.

Ecosystem narratives and community species: Sourced from the NatureServe Explorer API, representing professional ecological assessments of vegetation composition, environmental setting, dynamics, threats, and characteristic species assemblages.

IVC hierarchy: The International Vegetation Classification hierarchy is sourced from the USNVC v3.0 Catalog, providing the full classification from Biome through Association levels.

Component associations: Plant community associations listed as components of each NatureServe Ecological System. Association data from the NatureServe Explorer API.

State ranks: Conservation status ranks assigned by NatureServe member programs in each state where the ecosystem occurs.