Field capacity in soils with a yearly oscillating water table

Cavazza, L.; Patruno, A.; Cirillo, Elio

doi:10.1016/j.biosystemseng.2007.07.001

Cited by 11 publications

(14 citation statements)

References 10 publications

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“…The seasonal comparison with θ confirmed that the relationship between SMD and θ was not consistent over time. Given soil structure change through the year (Holden, ) and dependence on antecedent conditions (Veihmeyer & Hendrickson, ; Cavazza et al ., ), further research is required on hysteresis and nutrient management advice. Seasonal changes in θ were related to soil drainage: the poorer the drainage, the greater the differences between seasons.…”

Section: Discussionmentioning

confidence: 97%

“…These hydrological assumptions make the model relevant for land and nutrient management as it reflects water movements as a function of water status. However, the meaning of FC is subject to debate (Nachabe, ; Cavazza et al ., ) because of issues related to the water potential used as a standard for measurement, spatial variability, hysteresis and the difficulty of demonstrating when equilibrium is reached (Schuh et al ., ; Pachepsky & Giménez, ). Nevertheless, using the concept of gravity moveable water, Herbin et al .…”

Section: Introductionmentioning

confidence: 99%

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Soil Moisture Deficit as a predictor of the trend in soil water status of grass fields

Kerebel

Cassidy

Jordan³

et al. 2013

Soil Use and Management

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Nutrient loss from agricultural land following organic fertilizer spreading can lead to eutrophication and poor water quality. The risk of pollution is partly related to the soil water status during and after spreading. In response to these issues, a decision support system (DSS) for nutrient management has been developed to predict when soil and weather conditions are suitable for slurry spreading. At the core of the DSS, the Hybrid Soil Moisture Deficit (HSMD) model estimates soil water status relative to field capacity (FC) for three soil classes (well, moderately and poorly drained) and has potential to predict the occurrence of a transport vector when the soil is wetter than FC. Three years of field observation of volumetric water content was used to validate HSMD model predictions of water status and to ensure correct use and interpretation of the drainage classes. Point HSMD model predictions were validated with respect to the temporal and spatial variations in volumetric water content and soil strength properties. It was found that the HSMD model predictions were well related to topsoil water content through time, but a new class intermediate between poor and moderate, perhaps ‘imperfectly drained’, was needed. With correct allocations of a field into a drainage class, the HSMD model predictions reflect field scale trends in water status and therefore the model is suitable for use at the core of a DSS.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Soil Moisture Deficit as a predictor of the trend in soil water status of grass fields

Kerebel

Cassidy

Jordan³

et al. 2013

Soil Use and Management

View full text Add to dashboard Cite

show abstract

“…Both models overestimated the number of days when the soil was at field capacity. The field capacity value used in this study was for the top 0–5 cm of the soil profile and was determined at 5 kPa, but field capacity is a poorly defined variable with a lack of consensus and uncertainty relating to its determination (Cavazza et al. , 2007).…”

Section: Discussionmentioning

confidence: 99%

Overland flow initiation from a drumlin grassland hillslope

Doody

Higgins

Matthews

et al. 2010

Soil Use and Management

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Accurate prediction of overland flow requires an understanding of the hydrological processes controlling its occurrence over a range of spatial and temporal scales. This study investigated the factors controlling the initiation of overland flow from grassland on a drumlin. From January 2003 to December 2006, fine scale monitoring of soil moisture, rainfall and overland flow were carried out at a grazed grassland site in Northern Ireland. Logistic regression analyses were used to identify the factors controlling the initiation of overland flow. Relationships between the observed volumetric soil moisture (VSM) and soil moisture deficit (SMD) values predicted from regional meteorological data were also compared. Results demonstrated that although saturation excess overland flow occurs at this site, 59% of overland flow events occurred on days when soil moisture was below field capacity. The logistic regression analysis confirmed that when soils were below field capacity, average rainfall intensity was the most important variable in determining the probability of overland flow occurring followed by the SMD. Although VSM values at this site were correlated with two sets of modelled values of SMD, one based on the meteorological office rainfall and evaporation calculation system model of the UK Meteorological Office and the other based on a study from Ireland, neither model provided accurate indicators of the risk of overland flow. Each significantly overestimated the number of days when soils were at or above field capacity. This uncertainty and the predicted increase in high-intensity rainfall events as a result of climate change pose challenges to the use of SMD as an indicator of the risk of overland flow.

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“…The FC is measured at potentials of -10 to -50 kPa (Dane and Topp, 2002;Lal, 2006). However, the water content at -33 kPa matric potential is usually used for moderately coarse-and finer-textured soils Cassel and Nielsen, 1986;Addiscott and Whitmore, 1991;Liu, 1996;Gebregiorgis and Savage, 2006;Lal, 2006;Cavazza and Patruno, 2007;Jabro et al, 2009). Although it is generally acknowledged that undisturbed soil samples are required in the pressure plate method (Cassel and Nielsen, 1986;Gebregiorgis and Savage, 2006), the disturbed soil samples are still favored for they are easier to collect.…”

Section: Introductionmentioning

confidence: 97%

Field capacity in black soil region, Northeast China

et al. 2010

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In this work, 23 black soil profiles were surveyed and 113 soil samples were collected to determine the field capacity (FC) of the black soil in Northeast China. The effectiveness of three methods measuring FC, the Wilcox method (WM), the undisturbed soil pressure plate method (PUM) and the air-dried sieved soil pressure plate method (PDM) were compared to select a suitable laboratory measurement method. Results show that the FC values measured by PDM are greater than those measured by PUM, and the values measured by PUM are greater than those measured by WM. PUM is more suitable for the determination of FC in the study area. One regression equation between PUM and PDM has been established through which undisturbed soil can be replaced by air-dried sieved soil, which is easier to get, to measure FC. FCs vary from 23.50% to 37.00%, with an average of 31.65%, which differ greatly among the 23 black soil profiles. FC is found to be significantly positively correlated with the silt content, clay content and bulk density of the soil, but significantly negatively correlated with the sand content. An empirical pedotransfer function is established to estimate the FC using available soil physical and chemical properties.

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Field capacity in soils with a yearly oscillating water table

Cited by 11 publications

References 10 publications

Soil Moisture Deficit as a predictor of the trend in soil water status of grass fields

Soil Moisture Deficit as a predictor of the trend in soil water status of grass fields

Overland flow initiation from a drumlin grassland hillslope

Field capacity in black soil region, Northeast China

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