Long-Term Soil Water Dynamics in the Shortgrass Steppe

Ecology ◽  
1992 ◽  
Vol 73 (4) ◽  
pp. 1175-1181 ◽  
Author(s):  
O. E. Sala ◽  
W. K. Lauenroth ◽  
W. J. Parton
Keyword(s):  
Soil Water ◽  
Shortgrass Steppe ◽  
Water Dynamics ◽  
Soil Water Dynamics

Soil water dynamics and growth of perennial pasture species for dryland salinity control

2000 ◽  
Vol 40 (1) ◽  
pp. 37 ◽  
Author(s):  
S. J. Lolicato
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Lotus Corniculatus ◽  
Growth Patterns ◽  
Water Dynamics ◽  
Seasonal Growth ◽  
Long Term Effects ◽  
Soil Water Dynamics

Fortnightly soil water content measurements to a depth of 2.1 m under 4 cocksfoot cultivars, 2 phalaris cultivars, 2 lucerne cultivars and 1 Lotus corniculatus cultivar were used to compare soil profile drying and to define seasonal patterns of plant water use of the species over a 3-year period, on a duplex soil. Cultivars were also selected, within species groups, for varying seasonal growth patterns to assess this influence on soil water dynamics and growth. Over the 3-year period, treatments with the highest and lowest measures of profile soil water content were used to derive and compare values of maximum plant extractable water. Plots were maintained for a further 3 years, after which soil water content measurements in autumn were used to assess long-term effects of the treatments. The effect of seasonal growth patterns within a species was negligible; however, there were significant differences between species. Twenty-one months after pasture establishment, lucerne alone had a drying effect at 2.0 m depth and subsequently it consistently showed profiles with the lowest soil water content. Maximum plant extractable water was greatest for lucerne (230 mm), followed by phalaris (210 mm), Lotus corniculatus (200 mm) and cocksfoot (170 mm). Profiles with the lowest soil water content were associated with greater herbage growth and greater depths of water extraction. The soil water deficits developed by the treatments in autumn of the fourth year were similar to those measured in autumn of the seventh year, implying that a species-dependant equilibrium had been reached. Long-term rainfall data is used to calculate the probabilities of recharge occurring when rainfall exceeds maximum potential deficits for the different pasture species.

Assessing the sustainability of wheat-based cropping systems using APSIM: model parameterisation and evaluation

2007 ◽  
Vol 58 (1) ◽  
pp. 75 ◽  
Author(s):  
Carina Moeller ◽  
Mustafa Pala ◽  
Ahmad M. Manschadi ◽  
Holger Meinke ◽  
Joachim Sauerborn
Keyword(s):  
Organic Matter ◽  
Soil Water ◽  
Management Practices ◽  
Soil Depth ◽  
Crop Productivity ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Mineral N ◽  
N Use

Assessing the sustainability of crop and soil management practices in wheat-based rotations requires a well-tested model with the demonstrated ability to sensibly predict crop productivity and changes in the soil resource. The Agricultural Production Systems Simulator (APSIM) suite of models was parameterised and subsequently used to predict biomass production, yield, crop water and nitrogen (N) use, as well as long-term soil water and organic matter dynamics in wheat/chickpea systems at Tel Hadya, north-western Syria. The model satisfactorily simulated the productivity and water and N use of wheat and chickpea crops grown under different N and/or water supply levels in the 1998–99 and 1999–2000 experimental seasons. Analysis of soil-water dynamics showed that the 2-stage soil evaporation model in APSIM’s cascading water-balance module did not sufficiently explain the actual soil drying following crop harvest under conditions where unused water remained in the soil profile. This might have been related to evaporation from soil cracks in the montmorillonitic clay soil, a process not explicitly simulated by APSIM. Soil-water dynamics in wheat–fallow and wheat–chickpea rotations (1987–98) were nevertheless well simulated when the soil water content in 0–0.45 m soil depth was set to ‘air dry’ at the end of the growing season each year. The model satisfactorily simulated the amounts of NO3-N in the soil, whereas it underestimated the amounts of NH4-N. Ammonium fixation might be part of the soil mineral-N dynamics at the study site because montmorillonite is the major clay mineral. This process is not simulated by APSIM’s nitrogen module. APSIM was capable of predicting long-term trends (1985–98) in soil organic matter in wheat–fallow and wheat–chickpea rotations at Tel Hadya as reported in literature. Overall, results showed that the model is generic and mature enough to be extended to this set of environmental conditions and can therefore be applied to assess the sustainability of wheat–chickpea rotations at Tel Hadya.

scholarly journals Simulation of long‐term soil water dynamics at Reynolds Creek, Idaho: implications for rangeland productivity

Ecohydrology ◽  
2015 ◽  
Vol 9 (4) ◽  
pp. 673-687 ◽  
Author(s):  
Julie A. Finzel ◽  
Mark S. Seyfried ◽  
Mark A. Weltz ◽  
Karen L. Launchbaugh
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Reynolds Creek

Modeling long-term soil water dynamics in response to land-use change in a semi-arid area

2020 ◽  
Vol 585 ◽  
pp. 124824 ◽  
Author(s):  
Xiao Bai ◽  
Xiaoxu Jia ◽  
Yuhua Jia ◽  
Ming'an Shao ◽  
Wei Hu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Soil Water ◽  
Arid Area ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Semi Arid

Characterizing soil water dynamics on steep hillslopes from long-term lysimeter data

2015 ◽  
Vol 529 ◽  
pp. 795-804 ◽  
Author(s):  
Michael Augenstein ◽  
Nadine Goeppert ◽  
Nico Goldscheider
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Soil Water Dynamics

scholarly journals Testing the EPIC Richards submodel for simulating soil water dynamics under different bottom boundary conditions

2021 ◽  
Author(s):  
Matteo Longo ◽  
Curtis Dinnen Jones ◽  
Roberto César Izaurralde ◽  
Miguel L. Cabrera ◽  
Nicola Dal Ferro ◽  
...  
Keyword(s):  
Boundary Conditions ◽  
Soil Water ◽  
Water Dynamics ◽  
Soil Water Dynamics ◽  
Bottom Boundary

Numerical routine for soil water dynamics from trickle irrigation

2020 ◽  
Vol 83 ◽  
pp. 371-385 ◽  
Author(s):  
Ángel del Vigo ◽  
Sergio Zubelzu ◽  
Luis Juana
Keyword(s):  
Soil Water ◽  
Water Dynamics ◽  
Trickle Irrigation ◽  
Soil Water Dynamics
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