DOI: 10.5194/hess-21-4449-2017
Scopus记录号: 2-s2.0-85029176980
论文题名: An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems
作者: Alemayehu T ; , Van Griensven A ; , Woldegiorgis B ; T ; , Bauwens W
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 9 起始页码: 4449
结束页码: 4467
语种: 英语
Scopus关键词: Climate change
; Climate models
; Ecology
; Ecosystems
; Evapotranspiration
; Image reconstruction
; Land use
; Plants (botany)
; Radiometers
; Rain
; Remote sensing
; Research and development management
; Satellite imagery
; Soil moisture
; Stream flow
; Vegetation
; Water management
; Climate change impact
; Controlling factors
; Eco-hydrological models
; Management practices
; Moderate resolution imaging spectroradiometer
; Reference evapotranspiration
; Soil and water assessment tool
; Water balance components
; Tropics
; climate change
; ecohydrology
; evergreen forest
; hydrological modeling
; land use change
; leaf area index
; MODIS
; remote sensing
; savanna
; shrubland
; soil and water assessment tool
; streamflow
; tropical environment
; vegetation dynamics
; water management
; Kenya
; Mara Basin
; Tanzania
英文摘要: The Soil and Water Assessment Tool (SWAT) is a globally applied river basin ecohydrological model used in a wide spectrum of studies, ranging from land use change and climate change impacts studies to research for the development of the best water management practices. However, SWAT has limitations in simulating the seasonal growth cycles for trees and perennial vegetation in the tropics, where rainfall rather than temperature is the dominant plant growth controlling factor. Our goal is to improve the vegetation growth module of SWAT for simulating the vegetation variables - such as the leaf area index (LAI) - for tropical ecosystems. Therefore, we present a modified SWAT version for the tropics (SWAT-T) that uses a straightforward but robust soil moisture index (SMI) - a quotient of rainfall (P ) and reference evapotranspiration (ETr) - to dynamically initiate a new growth cycle within a predefined period. Our results for the Mara Basin (Kenya/Tanzania) show that the SWAT-T-simulated LAI corresponds well with the Moderate Resolution Imaging Spectroradiometer (MODIS) LAI for evergreen forest, savanna grassland and shrubland. This indicates that the SMI is reliable for triggering a new annual growth cycle. The water balance components (evapotranspiration and streamflow) simulated by the SWAT-T exhibit a good agreement with remote-sensing-based evapotranspiration (ET-RS) and observed streamflow. The SWAT-T model, with the proposed vegetation growth module for tropical ecosystems, can be a robust tool for simulating the vegetation growth dynamics in hydrologic models in tropical regions. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79069
Appears in Collections: 气候变化事实与影响
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作者单位: Vrije Universiteit Brussel, Department of Hydrology and Hydraulic Engineering, Brussels, Belgium; IHE Delft Institute for Water Education, Department of Water Science and Engineering, Delft, Netherlands
Recommended Citation:
Alemayehu T,, Van Griensven A,, Woldegiorgis B,et al. An improved SWAT vegetation growth module and its evaluation for four tropical ecosystems[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)