The indicator measures the proportion of land cover dominated by shrub vegetation in the Tahoe Region. Shrub vegetation represents an early successional stage of forest vegetation. The relative proportion of shrub type is important as it provides habitat for a wide diversity of wildlife species and complements vegetation diversity in the Region. The primary factors responsible for shrub vegetation are light exposure, soil type and moisture content, and extent and frequency of wildfire and other natural disturbances. TRPA has adopted policies and ordinances designed to promote a diversity of native vegetation communities in the Region. Forest fuels reduction projects affiliated with the Environmental Improvement Program tend to target the removal of understory shrubs to meet fuels reduction objectives and to prevent an overabundance of shrub-dominated vegetation type.
Estimated percent of land area dominated by “shrub” vegetation in the Lake Tahoe Region relative to the TRPA-adopted target of 25 percent. The effects of the 2021 Caldor Fire and the recent mortality event in the yellow pine and red fir communities along the west shore, are anticipated to significantly impact future abundance distributions. These disturbances are likely to reshape the landscape and may facilitate a transition to shrub vegetation types in those areas, necessitating a reevaluation of baseline data in future assessments. Sources: (USDA 2017)
Data provided by the USDA Forest Service, R5 Remote Sensing Lab. Access detailed datasets on Tahoe Open Data, including, vegetation type summary, vegetation spatial data, and detailed vegetation attributes.
Vegetation Distribution in the Tahoe Region - 2010 Ecobject.
EIP Action Priorities
The Tahoe Fire and Fuels Team is working to thin overstocked forests to reduce hazardous fuels and improve ecosystem resilience. As of 2023, partners have completed 90,000 acres of forest treatments.
EIP Indicators
Monitoring Programs
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April 2017. EcObject Vegetation Map v2.1 Product Guide. USDA Forest Service, R5 Remote Sensing Lab.