Evaluation of temporal, spatial, and tillage-induced variability for parameterization of soil infiltration
Model simulation of water and chemical transport requires information on soil hydraulic properties. Recently, independent parameterization methods have been developed to characterize soil type, tillage, temporal and spatial effects of soils. This study determines the relative magnitude of tillage-in...
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Veröffentlicht in: | Geoderma 1993, Vol.60 (1), p.187-199 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Model simulation of water and chemical transport requires information on soil hydraulic properties. Recently, independent parameterization methods have been developed to characterize soil type, tillage, temporal and spatial effects of soils. This study determines the relative magnitude of tillage-induced, temporal (yearly and seasonal), and spatial (within fields and between rows) variability in a combined analysis of soil infiltration in an agricultural field and evaluates the appropriateness of various parameterization scenarios. Infiltration measurements were obtained in the row and interrow position under plow-tilled and ridge-tilled corn (
Zea mays L.) in four replicates on multiple dates in a wetter (1990) and dryer year (1991). Measurements exhibited significant temporal variability within a growing season, especially in a dry year under plow till when soil cracking resulted in higher infiltration. Position with respect to the row was the most significant source of variability under ridge till, but not under plow till. Row and interrow differences in a ridge-tilled soil are the result of dense soil and lack of disturbance in the interrow. Yearly variations and field variability were relatively low. Differences between tillage practices were primarily expressed in variable susceptibility to spatial and temporal variation. Adequate parameterization of soil infiltration on agricultural fields requires recognition of various sources of variability under different tillage management systems, weather and climatic conditions, and soil types. High intrinsic variability of soil infiltration must be accounted for through increased sampling (e.g. duplicate measurements) and the use of stochastic methods. |
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ISSN: | 0016-7061 1872-6259 |
DOI: | 10.1016/0016-7061(93)90026-H |