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Relationships Between Environmental Factors and Plant Growth Based on the DSSAT and DO3SE Models
Md Shafiqul Bari, Md Shafiqul Bari

Last modified: 2017-10-06


The DO3SE (Deposition of O3 for Stomatal Exchange) model is an established tool for estimating ozone (O3) deposition, stomatal flux and impacts to a variety of vegetation types across Europe. It has been embedded within the EMEP (European Monitoring and Evaluation Programme) photochemical model to provide a policy tool capable of relating the flux-based risk of vegetation damage to O3 precursor emission scenarios for use in policy formulation. On the other hand, the decision support system for agro technology transfer (DSSAT) was originally developed by an international network of scientists, cooperating in the International Benchmark Sites Network for Agro technology Transfer project, to facilitate the application of crop models in a systems approach to agronomic research. Its initial development was motivated by a need to integrate knowledge about soil, climate, crops, and management for making better decisions about transferring production technology from one location to others where soils and climate differed. However both the model used Soil plant atmosphere interface module. This module computes daily soil evaporation and plant transpiration. This module brings together soil, plant and atmosphere inputs and computes light interception by the canopy, potential evapotranspiration, as well as actual soil evaporation and plant transpiration. We need some knowledge about what is the output of both DO3SE and DSSAT model if the same weather is input. Considering this fact, an investigation was carried out to compare the output of both models in terms of Soil plant atmosphere- especially of daily average evapotranspiration behaviour.

Indian Baranasi 2016 weather data was used as input weather data for both the model. In case of DO3SE, standard 10 weather parameter data and location data were used. In case of DSSAT, using the same Baranasi weather data a weather station named FARE was developed. In DSSAT model, it was run both with Baranasi soil IN074 and IN114 which were default pre-set of DSSAT 4.5 Interface version. Four pre-set wheat variety were used to run the DSSAT model with two different soil depths planting like 5 cm and 10 cm. In case of DO3SE, the default European wheat pre-set was used. Moreover, two set of Varanasi weather data were used in DO3SE- one was with Ozone deposition and another was without consider Ozone deposition i.e. zero concentration of Ozone.

The output data of both the Model showed same pattern irrespective to all the variety, soil and planting depth. The average evapotranspiration output of both the model was same at the end of growing period of wheat. But it was different at the active growth phase. During the middle of the wheat growth stage, the DO3SE output was irregular and more as compare to DSSAT. Again, at the starting of growth stage, the output of evapotranspiration were more in DSSAT as compare to DO3SE except the unique day of year 108. In the day of the year 108, the evapotranspiration was more due to soil evaporation of DO3SE output was more.  On the active growth phase, the irregular evapotranspiration in DO3SE may be due to the changes of atmospheric temperature and VPD. In DSSAT output, the trend of evaporation at the active growth period was linear and small may be due to the input weather data in case of DSSAT run was minimum like it not included VPD, wind speed and atmospheric pressure. However, it may be concluded that the trend of output of Evapotranspiration of DSSAT and DO3SE using same weather input data was same. But the output of DO3SE was more consistence to the atmospheric temperature as compare to DSSAT. This may be due to use more atmospheric weather parameter in DO3SE as the input data compare to DSSAT model.

Key words: DO3SE, DSSAT, Model, Environment, Weather, Plant growth

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