Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/2673
Title: Surface soil water dynamics in pastures in northern New South Wales. 1: Use of electrical resistance sensors
Contributor(s): Murphy, Sean (author); Lodge, G M (author)
Publication Date: 2004
DOI: 10.1071/EA03026
Handle Link: https://hdl.handle.net/1959.11/2673
Abstract: Stored soil water may influence both the generation of surface runoff and the rate of evapotranspiration from pastures, which may be significant in northern New South Wales. Continuous data is essential to fully understand these processes in field studies. Electrical resistance sensors were used to capture continuous data and they were calibrated directly for soil water content so as to provide quantitative data in real time. Calibration equations (logarithmic regression) were significantly different for a range of installation depths (2.5-20cm). To provide quantitative insight into soil water dynamics in studies of stored soil water, surface runoff, and evapotranspiration, real time data were collected at intervals ranging from 4 min to 24 h. Resistance sensors provided estimates of stored soil water (0-30 cm) that differed by up to 29% compared with estimates obtained from using a neutron moisture meter alone. In surface runoff studies, data collected at 4 min intervals showed that runoff was generated when soil water content was high. In studies of evapotranspiration, daily data were used to quantify different evapotranspiration rates (2.3-4.9mm/day) and progressive depth of drying for a range of treatments. We concluded that data collected in real time using resistance sensors may be used to make better estimates of SWC and so improve the interpretation of surface runoff generation and evapotranspiration data.
Publication Type: Journal Article
Source of Publication: Australian Journal of Experimental Agriculture, 44(3), p. 273-281
Publisher: CSIRO Publishing
Place of Publication: Australia
ISSN: 1446-5574
0816-1089
1836-5787
1836-0939
Fields of Research (FoR) 2008: 050305 Soil Physics
Socio-Economic Objective (SEO) 2008: 830406 Sown Pastures (excl. Lucerne)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Publisher/associated links: http://nla.gov.au/anbd.bib-an4599774
Appears in Collections:Journal Article

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