DUET - Distribution of Understory using Elliptical Transport: A mechanistic model of leaf litter and herbaceous spatial distribution based on tree canopy structure

•DUET creates high-resolution litter dispersal patterns based on canopy structure.•DUET leverages the litter and canopy patterns to distribute grass.•Factors including ambient wind, foliage traits, and decay rates are included. Heterogeneity in surface fuels produced by overstory trees and understor...

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Veröffentlicht in:Ecological modelling 2023-09, Vol.483, p.110425, Article 110425
Hauptverfasser: McDanold, Jenna S., Linn, Rodman R., Jonko, Alex K., Atchley, Adam L., Goodrick, Scott L., Hiers, J. Kevin, Hoffman, Chad M., Loudermilk, E. Louise, O'Brien, Joseph J., Parsons, Russell A., Sieg, Carolyn H., Oliveto, Julia A.
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Sprache:eng
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Zusammenfassung:•DUET creates high-resolution litter dispersal patterns based on canopy structure.•DUET leverages the litter and canopy patterns to distribute grass.•Factors including ambient wind, foliage traits, and decay rates are included. Heterogeneity in surface fuels produced by overstory trees and understory vegetation is a major driver of fire behavior and ecosystem dynamics. Previous attempts at predicting tree leaf and needle litter accumulation over time have been constrained in scope to probabilistic models that consider a limited number of key factors influencing tree litter dispersal patterns and decomposition processes. We present a mechanistic model for estimating variation in surface fuels called the Distribution of Understory using Elliptical Transport (DUET). DUET uses a pre-generated voxelated canopy array and distributes the leaf litter from the trees in an elliptical shape based on tree species characteristics, wind data, and location-specific features. DUET then calculates grass growth between trees and around the litter patterns and sets moisture levels based on relative humidity. In this study, we use DUET to simulate spatial distributions of leaf litter and illustrate model sensitivity to several parameters, providing inputs for testing fuel spatial heterogeneity impacts on fire behavior using process-based models.
ISSN:0304-3800
1872-7026
DOI:10.1016/j.ecolmodel.2023.110425