Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Improved SWAT vegetation growth module for tropical ecosystem

View through CrossRef
Abstract. The Soil and Water Assessment Tool (SWAT) is a globally applied river basin eco-hydrological simulator in a wide spectrum of studies, ranging from land use change and climate change impacts studies to research for the development of best water management practices. However, SWAT has limitations in simulating the seasonal growth cycles for trees and perennial vegetation in tropics, where the major plant growth controlling factor is the rainfall (via soil moisture) rather than temperature. Our goal is to improve the vegetation growth module of the SWAT model for simulating the vegetation parameters such as the leaf area index (LAI) for tropics. Therefore, we present a modified SWAT version for the tropics (SWAT-T) that uses of a simple but robust soil moisture index (SMI) – a quotient of the rainfall (P) and reference evapotranspiration (PET) – to initiate a new growing season after a defined dry season. 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 shrubs, indicating that the SMI is a reliable proxy to dynamically initiate a new growing cycle. The water balance components (evapotranspiration and flow) simulated by the SWAT-T exhibit a good agreement with remote sensing-based evapotranspiration (RS-ET) and observed flow. The SWAT-T simulator with the proposed improved vegetation growth module for tropical ecosystem could be a robust tool for several applications including land use and climate change impact studies.
Title: Improved SWAT vegetation growth module for tropical ecosystem
Description:
Abstract.
The Soil and Water Assessment Tool (SWAT) is a globally applied river basin eco-hydrological simulator in a wide spectrum of studies, ranging from land use change and climate change impacts studies to research for the development of best water management practices.
However, SWAT has limitations in simulating the seasonal growth cycles for trees and perennial vegetation in tropics, where the major plant growth controlling factor is the rainfall (via soil moisture) rather than temperature.
Our goal is to improve the vegetation growth module of the SWAT model for simulating the vegetation parameters such as the leaf area index (LAI) for tropics.
Therefore, we present a modified SWAT version for the tropics (SWAT-T) that uses of a simple but robust soil moisture index (SMI) – a quotient of the rainfall (P) and reference evapotranspiration (PET) – to initiate a new growing season after a defined dry season.
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 shrubs, indicating that the SMI is a reliable proxy to dynamically initiate a new growing cycle.
The water balance components (evapotranspiration and flow) simulated by the SWAT-T exhibit a good agreement with remote sensing-based evapotranspiration (RS-ET) and observed flow.
The SWAT-T simulator with the proposed improved vegetation growth module for tropical ecosystem could be a robust tool for several applications including land use and climate change impact studies.

Related Results

Attribution of Eco-hydrological changes based on coupled SWAT-ML method
Attribution of Eco-hydrological changes based on coupled SWAT-ML method
Vegetation is an important part of terrestrial ecosystem, and the vegetation growth condition is closely related to hydro-meteorological elements. Accurate simulation of ecohydrolo...
Incorporating Vegetation Type Transformation with NDVI Time-Series to Study the Vegetation Dynamics in Xinjiang
Incorporating Vegetation Type Transformation with NDVI Time-Series to Study the Vegetation Dynamics in Xinjiang
Time-series normalized difference vegetation index (NDVI) is commonly used to conduct vegetation dynamics, which is an important research topic. However, few studies have focused o...
Open areas in patchy ecosystems: key spaces for vegetation survival.
Open areas in patchy ecosystems: key spaces for vegetation survival.
<p>Drylands are one of the largest biomes over the Earth, covering around 40% of land surface. These are water limited ecosystems where vegetation occupies the most f...
Construction of Enhanced Recovery Training Module for Former Drug Addicts
Construction of Enhanced Recovery Training Module for Former Drug Addicts
Construction of an academic module requires few main objectives in the module construction which are Module Construction, Module Validity Assessment, Module Reliability Test, and M...
Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas
Realization and Prediction of Ecological Restoration Potential of Vegetation in Karst Areas
Based on the vegetation ecological quality index retrieved by satellite remote sensing in the karst areas of Guangxi in 2000–2019, the status of the ecological restoration of the v...
A vegetation classi?cation and map: Guadalupe Mountains National Park
A vegetation classi?cation and map: Guadalupe Mountains National Park
A vegetation classi?cation and map for Guadalupe Mountains National Park (NP) is presented as part of the National Park Service Inventory & Monitoring - Vegetation Inventory Pr...
Decoupling and partitioning the effect of climate and afforestation on long‐term vegetation greening in China since the 1990s
Decoupling and partitioning the effect of climate and afforestation on long‐term vegetation greening in China since the 1990s
AbstractVegetation is an essential component of the Earth's surface system, and is a clear indicator to global climate changes. Understanding the long‐term characteristics of veget...
Valuation of Ecosystem Services, Karnataka State, India
Valuation of Ecosystem Services, Karnataka State, India
Humans depend on the environment for their basic needs, such as food, fuel, minerals, water, air, etc. Burgeoning unplanned development activities to cater to the demands of the in...

Back to Top