Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR022692 |
Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions | |
Jakobi, J.1; Huisman, J. A.1; Vereecken, H.1; Diekkrueger, B.2; Bogena, H. R.1 | |
2018-10-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:10页码:7383-7402 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Understanding the feedback mechanisms between soil water content (SWC) and biomass production is important for sustainable resources management. Here we present a new method enabling simultaneous noninvasive measurements of SWC and biomass dynamics based on cosmic ray neutron sensing (CRNS). Recently, it was suggested that the neutron ratio (N-r) between thermal neutron (TN) and fast neutron (FN) intensity contains information on other hydrogen pools like vegetation, canopy interception, and snow. The aim of this study is to evaluate the accuracy of simultaneous measurements of SWC and biomass dynamics during agricultural drought conditions using CRNS probes. To this end, we instrumented an arable field cropped with sugar beet with CRNS probes and a wireless in situ SWC sensor network. Belowground and aboveground biomass were sampled in monthly intervals. We found a linear relationship between N-r and the aboveground biomass that allowed to continuously quantify the dry aboveground biomass development throughout the growing season with a root-mean-square error from 0.14 to 0.22 kg/m(2). This information was used together with measured belowground biomass to correct for the effect of biomass on SWC determination with CRNS probes, which increased the accuracy of the SWC estimates considerably as indicated by the decrease of the root-mean-square error from 0.046 to 0.013 cm(3)/cm(3). We anticipate that future research on the N-r can further improve the accuracy of SWC and biomass estimates and extend the application of CRNS to include canopy interception, ponding water, and snow water equivalent estimation for both stationary and roving CRNS systems. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450726000016 |
WOS关键词 | UNIVERSAL CALIBRATION FUNCTION ; CATCHMENT SCALE ; FIELD-SCALE ; VEGETATION INDEXES ; MOISTURE ; NETWORK ; EVAPOTRANSPIRATION ; VALIDATION ; DYNAMICS ; PATTERNS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21749 |
专题 | 资源环境科学 |
作者单位 | 1.Forschungszentrum Julich, Agrosphere Inst IBG 3, Julich, Germany; 2.Univ Bonn, Dept Geog, Bonn, Germany |
推荐引用方式 GB/T 7714 | Jakobi, J.,Huisman, J. A.,Vereecken, H.,et al. Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions[J]. WATER RESOURCES RESEARCH,2018,54(10):7383-7402. |
APA | Jakobi, J.,Huisman, J. A.,Vereecken, H.,Diekkrueger, B.,&Bogena, H. R..(2018).Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions.WATER RESOURCES RESEARCH,54(10),7383-7402. |
MLA | Jakobi, J.,et al."Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions".WATER RESOURCES RESEARCH 54.10(2018):7383-7402. |
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