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  • 1
    Publication Date: 2023-01-26
    Description: Cosmic‐ray neutron sensors (CRNS) enable noninvasive determination of field‐scale soil moisture content by exploiting the dependence of the intensity of aboveground epithermal neutrons on the hydrogen contained in soil moisture. However, there are other hydrogen pools besides soil moisture (e.g., biomass). Therefore, these hydrogen pools should be considered for accurate soil moisture content measurements, especially when they are changing dynamically (e.g., arable crops, deforestation, and reforestation). In this study, we test four approaches for the correction of biomass effects on soil moisture content measurements with CRNS using experiments with three crops (sugar beet, winter wheat, and maize) based on high‐quality reference soil moisture: (a) site‐specific functions based on in‐situ measured biomass, (b) a generic approach, (c) the thermal‐to‐epithermal neutron ratio (Nr), and (d) the thermal neutron intensity. Bare soil calibration of the CRNS resulted in high root mean square errors (RMSEs) of 0.097, 0.041, and 0.019 m³/m³ between estimated and reference soil moisture content for sugar beet, winter wheat, and maize, respectively. Considering in‐situ measured biomass for correction reduced the RMSE to 0.015, 0.018, and 0.009 m³/m³. The consideration of thermal neutron intensity for correction was similarly accurate. We also explored the use of CRNS for biomass estimation and found that Nr only provided accurate biomass estimates for sugar beet. In contrast, we found significant site‐specific relationships between biomass and thermal neutron intensity for all three crops, suggesting that thermal neutron intensity can be used both to improve CRNS‐based soil moisture content measurements and to quantify crop biomass.
    Description: Plain Language Summary: Water availability is a key challenge in agriculture, especially given the expected increase of droughts related to climate change. A promising noninvasive technique to monitor soil moisture content is cosmic‐ray neutron sensing (CRNS), which is based on the negative correlation between the number of near‐surface fast neutrons originating from cosmic radiation and the amount of hydrogen stored as soil moisture. However, hydrogen is also stored in other pools, such as biomass. These additional pools of hydrogen must be considered to accurately determine soil moisture content with CRNS. In this study, we used data from three experiments with different crops for comparing four methods for the correction of biomass effects on the measurement of soil moisture content with CRNS. We found that soil moisture content measurements were most accurate when locally measured biomass was considered for correction. We also found that changes in the amount of biomass of different crops can be quantified using thermal neutrons additionally detected by CRNS, that is, neutrons from cosmic rays that have a lower energy than fast neutrons. A correction of biomass effects using thermal neutron measurements also provided accurate soil moisture content measurements.
    Description: Key Points: Cosmic ray soil moisture measurements were most accurate when corrected with in‐situ biomass measurements or thermal neutron intensity. The effect of biomass on epithermal and thermal neutron intensity is plant‐specific. Biomass could be estimated from thermal neutron intensity for three crops, but not with the thermal‐to‐epithermal neutron ratio.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: EU‐FP7
    Description: https://doi.org/10.34731/qb7h-6287
    Keywords: ddc:631.4 ; soil moisture ; cosmic ray neutron sensing ; biomass influence ; biomass estimation ; thermal neutrons
    Language: English
    Type: doc-type:article
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  • 2
    ISSN: 1420-908X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract The degree of association of sodium salicylate and indomethacin with inflammatorycells was measured underin vivo conditions in ascites bearing mice. These animals had sufficient volume of inflammatory effusion in the peritoneal cavity which enabled measurement of drug concentrations extravascularly, both in the effusion and in the inflammatory cells. A single anti-inflammatory dose of 200 mg/kg sodium salicylate or 10 mg/kg indomethacin was administered orally or intraperitoneally. The peritoneal salicylate levels exceeded blood levels starting approximately 4 h following oral drug application. Indomethacin peritoneal levels were substantially lower within 6 h after oral drug intake and exceeded the blood levels at 24 h. Intraperitoneal dosing of salicylate resulted after approximately 4 h in similar vascular and extravascular drug concentrations. Indomethacin was slowly cleared from the peritoneal compartment after intraperitoneal administration. Salicylate and indomethacin accumulated under in vivo inflammatory conditions in peritoneal cells. The degree of accumulation (the intracellular concentration was at most 6 times the extracellular concentration) was dependent on compound, time of sampling, protein binding and administration route. These results were confirmed inin vitro cell association experiments. Protein appeared to affect the macro- and micropartition of these drugs. The differences in biodistribution at macro level (tissue distribution) and at micro level (cellular association) between sodium salicylate and indomethacin were sought in the apparent disparities in protein binding and affinity for protein in mouse serum and exudate.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2021-07-04
    Description: In their study, Dong and Ochsner (2018, https://doi.org/10.1002/2017WR021692) used an extensive data set of 18 cosmic‐ray neutron rover surveys along a 150 km long transect on unpaved roads to assess the influence of precipitation and soil texture on mesoscale soil moisture patterns. Based on their analysis, they concluded that soil texture, represented by sand content, exerted a stronger influence on mesoscale soil moisture variability than precipitation, represented by the antecedent precipitation index, on 17 of the 18 survey days. However, we found that Dong and Ochsner (2018) made a mistake in their calculation of volumetric soil moisture. After correction, the validity of the original conclusions of Dong and Ochsner (2018) was considerably weakened, as soil texture exerted a stronger influence on soil moisture than precipitation on 12 of the 18 survey days only.
    Description: Key Points: Dong and Ochsner (2018) concluded that soil texture exerted a stronger influence on mesoscale soil moisture variability than precipitation. Dong and Ochsner (2018) made a mistake in their calculation of volumetric soil moisture. We found that correlations between soil moisture and soil texture and precipitation were significantly different in only 8 of 18 surveys.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: 631.4 ; Cosmic‐Ray Neutron (CRN) Sensing ; CRN Rover ; mesoscale soil moisture ; soil moisture patterns
    Type: article
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