NDLI: Evaluating Post-wildfire Vegetation Regeneration as a Response to Multiple Environmental Determinants

Content Provider	Springer Nature Link
Author	Casady, Grant M. Leeuwen, Willem J. D. Marsh, Stuart E.
Copyright Year	2009
Abstract	Vegetation regeneration in post-fire environments varies across the landscape of a burned area. Variations are caused by interacting factors, including soil properties, vegetation characteristics, hydrology, land management history, and burn severity. While many of these factors have been explored previously, few studies have investigated the combination of multiple factors. A time-series of the remotely sensed enhanced vegetation index data has been analyzed to estimate rates of regeneration across a burn in central Arizona. We used regression trees to evaluate post-fire vegetation response as a function of multiple factors. Regeneration was a function of elevation (likely a proxy for moisture availability), burn severity, pre-burn vegetation, and post-burn management activities. Both time-series vegetation data and regression trees were valuable tools for determining dominant interacting factors responsible for variations in post-fire regeneration. Evaluation of the time-series data and modeled post-fire vegetation permitted the interpretation of management actions across the burned area.
Starting Page	295
Ending Page	307
Page Count	13
File Format	PDF
ISSN	14202026
Journal	Environmental Modeling & Assessment
Volume Number	15
Issue Number	5
e-ISSN	15732967
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-10-09
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	EVI MODIS Regression trees Time-series Wildfire Environment Applications of Mathematics Mathematical Modeling and Industrial Mathematics Math. Application in Environmental Science
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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