Literature DB >> 27401278

Improving SWAT for simulating water and carbon fluxes of forest ecosystems.

Qichun Yang1, Xuesong Zhang2.   

Abstract

As a widely used watershed model for assessing impacts of anthropogenic and natural disturbances on water quantity and quality, the Soil and Water Assessment Tool (SWAT) has not been extensively tested in simulating water and carbon fluxes of forest ecosystems. Here, we examine SWAT simulations of evapotranspiration (ET), net primary productivity (NPP), net ecosystem exchange (NEE), and plant biomass at ten AmeriFlux forest sites across the U.S. We identify unrealistic radiation use efficiency (Bio_E), large leaf to biomass fraction (Bio_LEAF), and missing phosphorus supply from parent material weathering as the primary causes for the inadequate performance of the default SWAT model in simulating forest dynamics. By further revising the relevant parameters and processes, SWAT's performance is substantially improved. Based on the comparison between the improved SWAT simulations and flux tower observations, we discuss future research directions for further enhancing model parameterization and representation of water and carbon cycling for forests.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon; Forest; Parameterization; Phosphorus; Water

Year:  2016        PMID: 27401278     DOI: 10.1016/j.scitotenv.2016.06.238

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters.

Authors:  Adnan Rajib; Grey R Evenson; Heather E Golden; Charles R Lane
Journal:  J Hydrol (Amst)       Date:  2018-12-01       Impact factor: 5.722

2.  Soil & Water Assessment Tool (SWAT) simulated hydrological impacts of land use change from temperate grassland to energy crops: A case study in western UK.

Authors:  Amanda J Holder; Rebecca Rowe; Niall P McNamara; Iain S Donnison; Jon P McCalmont
Journal:  Glob Change Biol Bioenergy       Date:  2019-07-26       Impact factor: 4.745

  2 in total

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