Arid
DOI10.1016/j.agwat.2018.04.017
Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance
Wang, Enli1; Smith, Chris J.1; Macdonald, Ben C. T.1; Hunt, James R.1,4; Xing, Hongtao1; Denmead, O. T.1; Zeglin, Steve2; Zhao, Zhigan1; Isaac, Peter3
通讯作者Smith, Chris J.
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2018
卷号204页码:271-280
英文摘要

Changes in soil moisture influence the water availability to crop plants and soil ecological processes like carbon and nutrient cycling, impacting on crop productivity and environmental performance (greenhouse gas emissions, leaching) of agricultural systems. While traditional soil moisture measurements are done using point-based methods, the recent development of the cosmic-ray soil moisture neutron sensor (CRNS) offers the opportunity to measure soil water at the field scale. However, due to its shallow (< 300 mm) and variable measurement depth, the relevance of the measurements to crop water use has been questioned. In this paper, we combine point-based soil moisture measurements (soil cores, TDR), areal-based soil moisture and evapotranspiration measurements (CRNS, eddy covariance), and soil-plant systems modelling together to investigate the consistency in measured soil moisture and crop water use with these different methods We also quantify how relevant the CRNS soil moisture measurements are in understanding the water use of cereal crops (wheat and barley). Our results show that crop water uptake from CRNS layers accounted for 50-90% of the total water uptake in dry environments (location, year) with annual rainfall < 300 mm, but only 30-50% of the total crop water uptake in wetter environments (locations, years). This demonstrates a higher relevance of CRNS measurements in semi-arid and arid regions where water is a limiting factor for crop growth and other ecological processes. The high temporal resolution of soil moisture data from CRNS can be assimilated with eddy covariance measurements and point measurements in field to better calibrate soil-plant models and to more accurately simulate field water balance.


英文关键词Soil water dynamics Surface versus deep layers Evapotranspiration Modelling APSIM
类型Article
语种英语
国家Australia
收录类别SCI-E
WOS记录号WOS:000433642000026
WOS关键词SYSTEMS SIMULATION ; NITROUS-OXIDE ; NEUTRON PROBE ; GROWTH-STAGES ; DECIMAL CODE ; APSIM MODEL ; CARBON ; CALIBRATION ; EMISSIONS ; CEREALS
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
来源机构Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/207378
作者单位1.CSIRO Agr, POB 1700, Canberra, ACT 2601, Australia;
2.CSIRO Oceans & Atmospheres, Canberra, ACT 2601, Australia;
3.OzFlux, Melbourne, Vic 3159, Australia;
4.La Trobe Univ, Ctr AgriBiosci, Dept Anim Plant & Soil Sci, 5 Ring Rd, Bundoora, Vic 3086, Australia
推荐引用方式
GB/T 7714
Wang, Enli,Smith, Chris J.,Macdonald, Ben C. T.,et al. Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance[J]. Commonwealth Scientific and Industrial Research Organisation,2018,204:271-280.
APA Wang, Enli.,Smith, Chris J..,Macdonald, Ben C. T..,Hunt, James R..,Xing, Hongtao.,...&Isaac, Peter.(2018).Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance.AGRICULTURAL WATER MANAGEMENT,204,271-280.
MLA Wang, Enli,et al."Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance".AGRICULTURAL WATER MANAGEMENT 204(2018):271-280.
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