TDR calibration of organic forest floor media

Schaap, M. G.; Lange, L. De; Heimovaara, T.J.

doi:10.1016/s0933-3630(96)00128-6

Cited by 68 publications

(62 citation statements)

References 10 publications

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“…Empirical and dielectric mixing models [25]- [31] are used to relate V MC to effective dielectric properties of various soil types. Due to the differences in bulk density and surface area of materials constituting each forest layer, this relationship in organic soils is very different than the relationship found in mineral soils [29], [30].…”

Section: B Three-layer Forest Floor Modelmentioning

confidence: 99%

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Impact of Conifer Forest Litter on Microwave Emission at L-Band

Kurum

O'Neill

Lang

et al. 2012

IEEE Trans. Geosci. Remote Sensing

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Section: B Three-layer Forest Floor Modelmentioning

confidence: 99%

“…An anisotropic effective medium approach with a three-phase dielectric mixing model [33] is applied to represent the highly complex nature of the surface litter layer. The effective dielectric properties of organic humus [31] and mineral [28] soil layers are obtained from empirical relations published in the literature.…”

Section: B Three-layer Forest Floor Modelmentioning

confidence: 99%

Impact of Conifer Forest Litter on Microwave Emission at L-Band

Kurum

O'Neill

Lang

et al. 2012

IEEE Trans. Geosci. Remote Sensing

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“…This method is non-destructive, fast, and allows for continuous monitoring of the water content if a calibration relationship is known (Topp et al 1980;Schaap et al 1996). The u v -Ka relationships for organic porous media are different from mineral soils (Topp et al 1980;Roth et al 1992;Paquet et al 1993) because organic materials have different dielectric properties than mineral materials (Topp et al 1980).…”

mentioning

confidence: 99%

“…On one hand, only a few u v -Ka relationships have been published for organic porous media (Stein and Kane 1983;Pe´pin et al 1992;Roth et al 1992;Paquet et al 1993;Schaap et al 1996). Their relationships have similar general form, but have different regression coefficients (Table 1).…”

mentioning

confidence: 99%

Water content as a function of apparent dielectric permittivity in a Fibric Limnic Humisol

Lange¹,

Allaire

Juneau³

2008

Can. J. Soil. Sci.

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Volumetric water content (θv) was estimated from time domain reflectometry (TDR) measurementsof apparent dielectric permittivity (Ka) in an organic soil (Humisol). The goals of this study were: (i) to test the accuracy of existing θv-Ka relationships in this soil and if found insufficient (ii) to develop alternative θv-Ka relationships for this organic soil. The Ka values were measured over a wide range of θv in intact soil cores taken from three horizons (Ohp, Of, Oco). Empirical θv-Ka relationships found in the literature for organic porous media could not accurately describe the θv-Ka relationships of any horizon of this Humisol, probably because of the its very large organic matter content (> 75%) of this soil. New θv-Ka relationships for each horizon were consequently developed. Key words: Organic soil, TDR, coprogenic soil, volumetric water content, apparent dielectric permittivity

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“…The majority of the Calluna roots were identified within the organic layer of the soil and this is also where the largest proportion of the soil moisture is stored (see Table 1). However, continuous soil moisture measurements in the organic layer are very difficult due to instrumentation constraints (Schaap et al, 1997). Because of this, it is likely that a large proportion of the soil respiration response to reductions in soil moisture occurred in the organic horizon, and this was not able to be quantified with the current technology.…”

Section: G R Kopittke Et Al: Soil Respiration On An Aging Managed mentioning

confidence: 99%

Soil respiration on an aging managed heathland: identifying an appropriate empirical model for predictive purposes

et al. 2013

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Heathlands are cultural landscapes which are managed through cyclical cutting, burning or grazing practices. Understanding the carbon (C) fluxes from these ecosystems provides information on the optimal management cycle time to maximise C uptake and minimise C output. The interpretation of field data into annual C loss values requires the use of soil respiration models. These generally include model variables related to the underlying drivers of soil respiration, such as soil temperature, soil moisture and plant activity. Very few studies have used selection procedures in which structurally different models are calibrated, then validated on separate observation datasets and the outcomes critically compared. We present thorough model selection procedures to determine soil heterotrophic (microbial) and autotrophic (root) respiration for a heathland chronosequence and show that soil respiration models are required to correct the effect of experimental design on soil temperature. Measures of photosynthesis, plant biomass, photosynthetically active radiation, root biomass, and microbial biomass did not significantly improve model fit when included with soil temperature. This contradicts many current studies in which these plant variables are used (but not often tested for parameter significance). We critically discuss a number of alternative ecosystem variables associated with soil respiration processes in order to inform future experimental planning and model variable selection at other heathland field sites. The best predictive model used a generalized linear multi-level model with soil temperature as the only variable. Total annual soil C loss from the young, middle and old communities was calculated to be 650, 462 and 435 g C m⁻² yr⁻¹, respectively

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TDR calibration of organic forest floor media

Cited by 68 publications

References 10 publications

Impact of Conifer Forest Litter on Microwave Emission at L-Band

Impact of Conifer Forest Litter on Microwave Emission at L-Band

Water content as a function of apparent dielectric permittivity in a Fibric Limnic Humisol

Soil respiration on an aging managed heathland: identifying an appropriate empirical model for predictive purposes

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