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Quantifying Post-fire Vegetation Recovery on the Colorado Front RangeForest composition and structure in the Colorado Front Range has been altered by changing wildfire regimes, particularly in response to increased fire severity. Subsequent reductions in post-fire tree regeneration can result in chronic impacts to ecological function and water quality. This project partnered with the U.S. Forest Service to estimate tree canopy recovery from 15 to 21 years after four Colorado Front Range fires that burned between 1996 and 2002— the Bobcat, Buffalo Creek, Hayman, and High Meadows fires—using Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper (ETM+), and Landsat 8 Operational Land Imager (OLI). First, we evaluated relationships between recovery metrics derived from spectral vegetation indices (i.e. post-fire vegetation, normalized burn ratio, percent unrecovered vegetation) and field-collected counts of post-fire tree seedling regeneration. Then, we used high-resolution imagery paired with Landsat timeseries spectral and geomorphometric data to map forest canopy cover 15-21 years post-fire. Finally, we assessed ecological drivers of recovery including topography, climate, soils, and fire severity using Random Forest. While we found that basic vegetation index metrics failed to distinguish field-measured tree regeneration, our data showed that both aspect and burn severity were important drivers of vegetation recovery. North-facing aspects tended to have higher pre-fire Normalized Difference Vegetation Index (NDVI) and thus higher burn severities. However, areas that burned at high severity experienced slower vegetation recovery, regardless of aspect suggesting that high severity fire can mute favorable site conditions on north-facing aspects (i.e. moister, more developed soils). While this work propels our understanding of variables that influence vegetative recovery, vegetation type, forest conversion, and watershed function, more work should focus on what vegetation indices identifying areas of recovery indicate across different forest types and burn severities.
Document ID
20205005077
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Eric Jensen
(SSAI DEVELOP)
Lauren Kremer
(SSAI DEVELOP)
Zackary Werner
(SSAI DEVELOP)
Audrey Colley
(SSAI DEVELOP)
Anthony Vorster
(Colorado State University Fort Collins, Colorado, United States)
Charles W Rhoades
(United States Department of Agriculture Washington D.C., District of Columbia, United States)
Tim Covino
(Colorado State University Fort Collins, Colorado, United States)
Kristen Nicole Dennis
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
July 24, 2020
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Geophysical Union 2020 Fall Meeting
Location: Virtual
Country: US
Start Date: December 7, 2020
End Date: December 11, 2020
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 970315.02.02.01.01
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Professional Review
Keywords
NASA DEVELOP

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