Ecological aspects of the soil-water-plant-atmosphere system

2022 ◽  
pp. 279-302
Author(s):  
Ravindra Kumar Rekwar ◽  
Abhik Patra ◽  
Hanuman Singh Jatav ◽  
Satish Kumar Singh ◽  
Kiran Kumar Mohapatra ◽  
...  
1990 ◽  
pp. 28-41 ◽  
Author(s):  
Jack Keller ◽  
Ron D. Bliesner
Keyword(s):  

2018 ◽  
Vol 66 (2) ◽  
pp. 232-245 ◽  
Author(s):  
Vakhtang Shelia ◽  
Jirka Šimůnek ◽  
Ken Boote ◽  
Gerrit Hoogenbooom

AbstractAccurate estimation of the soil water balance of the soil-plant-atmosphere system is key to determining the availability of water resources and their optimal management. Evapotranspiration and leaching are the main sinks of water from the system affecting soil water status and hence crop yield. The accuracy of soil water content and evapotranspiration simulations affects crop yield simulations as well. DSSAT is a suite of field-scale, process-based crop models to simulate crop growth and development. A “tipping bucket” water balance approach is currently used in DSSAT for soil hydrologic and water redistribution processes. By comparison, HYDRUS-1D is a hydrological model to simulate water flow in soils using numerical solutions of the Richards equation, but its approach to crop-related process modeling is rather limited. Both DSSAT and HYDRUS-1D have been widely used and tested in their separate areas of use. The objectives of our study were: (1) to couple HYDRUS-1D with DSSAT to simulate soil water dynamics, crop growth and yield, (2) to evaluate the coupled model using field experimental datasets distributed with DSSAT for different environments, and (3) to compare HYDRUS-1D simulations with those of the tipping bucket approach using the same datasets. Modularity in the software design of both DSSAT and HYDRUS-1D made it easy to couple the two models. The pairing provided the DSSAT interface an ability to use both the tipping bucket and HYDRUS-1D simulation approaches. The two approaches were evaluated in terms of their ability to estimate the soil water balance, especially soil water contents and evapotranspiration rates. Values of thedindex for volumetric water contents were 0.9 and 0.8 for the original and coupled models, respectively. Comparisons of simulations for the pod mass for four soybean and four peanut treatments showed relatively highdindex values for both models (0.94–0.99).


2020 ◽  
pp. 207-210
Author(s):  
M.K. Trivedi ◽  
K.S. Hariprasad ◽  
A. Gairola ◽  
D. Kashyap

jpa ◽  
1994 ◽  
Vol 7 (1) ◽  
pp. 63-69 ◽  
Author(s):  
M.C. Fortin ◽  
J. Culley ◽  
M. Edwards

2019 ◽  
Vol 76 (5) ◽  
pp. 362-367 ◽  
Author(s):  
Eugênio Ferreira Coelho ◽  
Marcelo Rocha dos Santos ◽  
Sérgio Luíz Rodrigues Donato ◽  
Jailson Lopes Cruz ◽  
Polyanna Mara de Oliveira ◽  
...  

2019 ◽  
Vol 152 ◽  
pp. 38-46 ◽  
Author(s):  
Yuanbo Li ◽  
J. Brett Sallach ◽  
Wei Zhang ◽  
Stephen A. Boyd ◽  
Hui Li
Keyword(s):  

Author(s):  
William Fenner ◽  
Rivanildo Dallacort ◽  
Cleonir A. Faria Junior ◽  
Paulo S. L. de Freitas ◽  
Tadeu M. de Queiroz ◽  
...  

ABSTRACT The evapotranspiration process is critical to studies on the water balance and water demand of crops and can be determined by several methods. A widely-used method, despite its high installation costs, is weighing lysimeters, which consists of a box over a balance connected to a load cell that monitors variations in the soil-water-plant-atmosphere system. The aim of this study was to develop and calibrate six weighing lysimeters (with dimensions of 1.5 x 1.5 x 1.2 m each) by high precision load cells, testing their ability to measure water mass changes in field conditions and cultivated with common bean (Phaseolus vulgaris L.), in the city of Tangará da Serra, in the state of Mato Grosso, Brazil. All lysimeters showed coefficients of determination higher than 0.99, as well as Willmott indexes, correlation and high confidence indexes, indicating that the equipment is suitable for measuring mass variations in water balance and evapotranspiration studies, representing the reality which occurred in the field.


2013 ◽  
Vol 374 (1-2) ◽  
pp. 993-1004 ◽  
Author(s):  
Jinghua Fan ◽  
Zhenli He ◽  
Lena Q. Ma ◽  
Yuangen Yang ◽  
Peter J. Stoffella

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