How ET is affected by forest fire.

A conceptual figure showing fire impacts on annual vegetation evapotranspiration and its recovery after fires. Image credit: Ma et al., 2018

Dec 11, 2018 • Dr. Qin Ma is a post-doc researcher in remote sensing at the Sierra Nevada Research Institute, located on the University of California, Merced campus. Here is what she shared with us about the work she is presenting today at #AGU18:

Vegetation water use responses to forest fires in the Sierra Nevada, California using remote sensing

 
What are the major findings of this research?
The Sierra Nevada is the main source of in-state water for California, but over half of the precipitation in the Sierra Nevada is returned to the atmosphere by evapotranspiration (ET).

Fires play an important role in regulating forest density, vegetation water use, and runoff. We analyzed evapotranspiration changes in response to fires in the Sierra Nevada between 1985 and 2015.

We found that the most dramatic ET reduction (up to 3600 million cubic meters/year over the Sierra Nevada) occurred in the 1st year post-fire. Spatially, ET reduction varied from 95 mm to 238 mm per unit area burned in low to high severity fires. Forest stands that were originally greener and denser experienced a greater ET reduction. The combination of Landsat derived fire severity index and vegetation index can predict more than 80% of the spatial variations in ET reduction due to fires.

 
What are the implications of your findings?
This study demonstrates the potential for increasing runoff after fires in mixed conifer forests of the Sierra Nevada, California. Spatially and temporally explicit data on vegetation water use and its change after fires provides a way to identify priority areas that are suitable for prescribed fires (set to increase water yields). In a warming climate, more forest restoration efforts will be needed including forest thinning, prescribed fires or managed wildfires, in the Sierra Nevada forests to reduce vulnerability to droughts and devastating fires.

 
What insight did you gain from Landsat that would have been difficult to ascertain otherwise?
The Landsat derived Normalized Difference Vegetation Index is one of the most important inputs in scaling evapotranspiration from available point measurements. Without Landsat, we cannot scale vegetation water use at such a fine-resolution (30 m) and long-term scale (1985-2015). In addition, we used the fire severity maps derived from Landsat data to analyze fire impacts on vegetation water use. The consistently high quality of fire and vegetation indices from Landsat enable multi-decadal fine-resolution regional studies.

 
Will your research results be shared with the government entities that manage prescribed fires in California’s Sierra Nevada?
Yes, we always share our results and are working with public land managers in California. The ultimate goal of this study is to build a stronger scientific foundation for forest management by providing useful information to government and other entities that are managing forests, water resources, and prescribed fires.

Amount of ET in Sierra Nevada

Reduction in ET post-fire across the Sierra Nevada for six fire severity classes. Greener and denser forests burned at higher severity, with greater drops in evapotranspiration. Evapotranspiration reduction presented on this graph by the mean values for each 0.1 unit pre-fire NDVI. Fire severity classes were determined by percentage of basal area (BA) reduced in the fires. Symbol sizes indicate relative areas in each class.

Co-authors:

Roger C Bales
University of California Merced

Joseph P. Rungee
University of California Merced

Michael Goulden
University of California Irvine

 
This research was supported by the National Science Foundation through the Southern Sierra Critical Zone Observatory.

 
Anyone can freely download Landsat data from the USGS EarthExploreror LandsatLook.

Related reading:
+ How Fire Severity Impacts Soil Microbes
+ Fingerprinting Carbon Loss in Pacific Northwest Forests

Further Reading:
+ Landsat at #AGU18