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Treesearch

An enhanced representation of forest cover for distributed hydrologic modeling based on forest inventory data

Informally Refereed
Download (PDF 640 KB): https://research.fs.usda.gov/download/treesearch/63174.pdf

Abstract

Tree canopies exert stronger controls than understory vegetation on hydrologic processes. Forest type, density, and dynamics (i.e., disturbance) affect the relative magnitudes of hydrologic fluxes such as interception, transpiration, evaporation, infiltration, and runoff. Although many distributed, physically based hydrologic models are capable of distinguishing overstory vs. understory influences on water resources, most assessments lack stratified canopy data and thus rely on remote sensing-based estimates of total leaf area index (LAI) (Goeking and Tarboton 2020).

Parent Publication

Citation

Goeking, S. A.; Tarboton, D. G. 2020. An enhanced representation of forest cover for distributed hydrologic modeling based on forest inventory data. In: Brandeis, Thomas J., comp. Celebrating progress, possibilities, and partnerships: Proceedings of the 2019 Forest Inventory and Analysis (FIA) Science Stakeholder Meeting; November 19-21, 2019; Knoxville, TN. e-Gen. Tech. Rep. SRS-256. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. p. 46-49.