Abstract

Abstract. 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.

Highlights

  • The Soil and Water Assessment Tool (SWAT; Arnold et al, 1998) is a process-oriented, spatially semi-distributed and time-continuous river basin model

  • We presented an innovative approach to improve the simulation of the annual growth cycle for trees and perennials – and improve the simulation of the evapotranspiration and the streamflow – for tropical conditions in SWAT

  • The structural improvements of the leaf area index (LAI) simulation have been demonstrated by comparing uncalibrated SWAT model simulations of the LAI using the modified (i.e. SWAT version for the tropics (SWAT-T)) and the standard SWAT vegetation growth module

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Summary

Introduction

The Soil and Water Assessment Tool (SWAT; Arnold et al, 1998) is a process-oriented, spatially semi-distributed and time-continuous river basin model. Dessu and Melesse, 2012; Easton et al, 2010; Mwangi et al, 2016; Setegn et al, 2009) as well as to study the hydrological impacts of land use change It is worthwhile to note that phenological changes in vegetation affect the biophysical and hydrological processes in the basin and play a key role in integrated hydrologic and ecosystem modelling (Jolly and Running, 2004; Kiniry and MacDonald, 2008; Shen et al, 2013; Strauch and Volk, 2013; Yang and Zhang, 2016; Yu et al, 2016). The leaf area index (LAI) – the area of green leaves per unit area of land – is a vegetation attribute commonly used in ecohydrological modelling, as it strongly correlates with the vegetation phe-

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