Soil water dynamics;
Surface versus deep layers;
Evapotranspiration;
Modelling;
APSIM;
NITROUS-OXIDE;
GROWTH-STAGES;
DECIMAL CODE;
APSIM MODEL;
CARBON;
SYSTEMS;
CALIBRATION;
EMISSIONS;
MAIZE;
YIELD;
D O I:
10.1016/j.agwat.2018.04.017
中图分类号:
S3 [农学(农艺学)];
学科分类号:
0901 ;
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.
机构:
Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USAColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Chen, Chao
Baethgen, Walter E.
论文数: 0引用数: 0
h-index: 0
机构:
Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USAColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Baethgen, Walter E.
Wang, Enli
论文数: 0引用数: 0
h-index: 0
机构:
CSIRO Land & Water APSRU, Canberra, ACT 2601, AustraliaColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Wang, Enli
Yu, Qiang
论文数: 0引用数: 0
h-index: 0
机构:
Univ Technol, Sch Environm, Sydney, NSW, Australia
Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R ChinaColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
机构:
Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USAColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Chen, Chao
Baethgen, Walter E.
论文数: 0引用数: 0
h-index: 0
机构:
Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USAColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Baethgen, Walter E.
Wang, Enli
论文数: 0引用数: 0
h-index: 0
机构:
CSIRO Land & Water APSRU, Canberra, ACT 2601, AustraliaColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA
Wang, Enli
Yu, Qiang
论文数: 0引用数: 0
h-index: 0
机构:
Univ Technol, Sch Environm, Sydney, NSW, Australia
Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R ChinaColumbia Univ, Earth Inst, Int Res Inst Climate & Soc, Palisades, NY USA