Soil temperature under forests: a simple model for predicting soil temperature under a range of forest types

Paul, Keryn I.; Polglase, P. J.; Smethurst, P. J.; O’Connell, A. M.; Carlyle, Clive J; Khanna, P.

doi:10.1016/j.agrformet.2003.08.030

Cited by 151 publications

(86 citation statements)

References 23 publications

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“…Strictly, equation (3) is only applicable if mean temperatures are invariant along the soil profile. However, most models to predict daily and seasonal changes of soil temperature assume a constant mean soil temperature along the profile (Kang et al, 2000;Paul et al, 2004), irrespectively of the soil type and period of the year, to be able to use the equation. The fitted regressions were significant (*p < 0.05) on all single days, showing (Table 7) were significantly higher (*p < 0.05) than those for the entire profile and for P2 due to the lower temperature amplitude gradients in the Ah horizon under the litter layer.…”

Section: Thermal Wave Damping With Depthmentioning

confidence: 99%

“…Additional shelter provided by the litter layer may reduce further convective and radiative heat exchange between soil and atmosphere, but this effect may depend on both the degree of canopy cover and thickness of the layer (Johnson-Maynard et al, 2004). Kang et al (2000) predicted deciduous forest soil temperatures from air temperature data in vast areas and latitudes, and assigned a value to the litter layer similar to that of the leaf area index, while Paul et al (2004) used the litter layer mass to predict average soil temperatures from air temperature of several forest types in Australia. The daily variation of soil temperature would be reduced under increased shelter, controlling the penetration depth of the daily heat wave into the soil.…”

Section: Introductionmentioning

confidence: 99%

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Influence of litter layer removal on the soil thermal regime of a pine forest in a mediterranean climate

Andrade

Abreu

Madeira

2010

Rev. Bras. Ciênc. Solo

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SUMMARYThe removal of the litter layer in Portuguese pine forests would reduce fire hazard, but on the other hand this practice would influence the thermal regime of the soil, hence affecting soil biological activity, litter decomposition and nutrient dynamics. Temperature profiles of a sandy soil (Haplic Podzol) under a pine forest were measured with thermocouples at depths to 16 cm, with and without litter layer. The litter layer acted as a thermal insulator, reducing the amplitude of the periodic temperature variation in the mineral soil underneath and increasing damping depths, particularly at low soil water contents. At the mineral soil surface the reduction of amplitudes was about 2.5 ºC in the annual cycle and 5 to 6.7 ºC in the daily cycle, depending on the soil water content. When soil was both cold and wet, mean daily soil temperatures were higher (about 1 -1.5 ºC) under the litter layer. Improved soil thermal conditions under the litter layer recommend its retention as a forest management practice to follow in general.Index terms: soil temperature, Fourier series, damping depth.(1) Received for publication in May 2010 and approved in July 2010.

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Section: Thermal Wave Damping With Depthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of litter layer removal on the soil thermal regime of a pine forest in a mediterranean climate

Andrade

Abreu

Madeira

2010

Rev. Bras. Ciênc. Solo

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“…Soil water and temperature at a particular depth and date are predicted through simple sub-models of soil temperature (Paul et al, 2004) and soil water (Paul et al, 2003b), which had been calibrated across many different soil types, depths and textural classes.…”

Section: Modelmentioning

confidence: 99%

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Smethurst

Gonçalves

Pulito

et al. 2015

Rev. Bras. Ciênc. Solo

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the soil Nitrogen Availability predictor (sNAp) model predicts daily and annual rates of net N mineralization (NNm) based on daily weather measurements, daily predictions of soil water and soil temperature, and on temperature and moisture modifiers obtained during aerobic incubation (basal rate). the model was based on in situ measurements of NNm in Australian soils under temperate climate. the purpose of this study was to assess this model for use in tropical soils under eucalyptus plantations in São Paulo State, Brazil. Based on field incubations for one month in three, NNm rates were measured at 11 sites (0-20 cm layer) for 21 months. the basal rate was determined in in situ incubations during moist and warm periods (January to march). Annual rates of 150-350 kg ha -1 yr -1 NNm predicted by the sNAp model were reasonably accurate (r 2 = 0.84). in other periods, at lower moisture and temperature, NNm rates were overestimated. therefore, if used carefully, the model can provide adequate predictions of annual NNm and may be useful in practical applications. for NNm predictions for shorter periods than a year or under suboptimal incubation conditions, the temperature and moisture modifiers need to be recalibrated for tropical conditions.

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“…Sinusoidal soil temperature models that assume periodic temperature fluctuations and are parameterized with simple meteorological measurements are particularly attractive due to their ease of calculation and minimal data requirements (Paul et al, 2004;Droulia et al, 2009). However, such models can provide unsatisfactory results because they assume soil homogeneity and ignore the spatiotemporal temperature variations caused by overstory shading (Hardy et al, 2004;Bond-Lamberty et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Most models for estimating soil temperature are based on simplified, bare-soil, or agricultural conditions (e.g., Gonzalez-Dugo et al, 2009;Saito and Simunek, 2009), although there are numerous efforts that include the influence of natural vegetation (e.g., Paul et al, 2004;Bond-Lamberty et al, 2005). Models for soil temperature and heat flux also vary in complexity from estimations of soil temperature based on readily available meteorological measurements * Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera

Graham

Lam

Yuen

2010

Agricultural and Forest Meteorology

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a b s t r a c tThe characterization of the solar radiation environment under a forest canopy is important for both understanding temperature-dependent biological processes and validating energy balance models. A modified sinusoidal model of soil heat conductivity was used to estimate subsurface temperature and heat flux from the uneven but periodic solar heating of the soil surface due to sun flecks from a forest canopy. Using a mobile sensor platform with an infrared thermometer along an 11 m transect, a sunfleck model of soil surface temperature was tested using soil surface temperature maxima, air temperatures, and photodiodes placed on the soil surface to measure sunflecks. A pan-tilt-zoom digital camera on a 10 m tower above the site was then used to capture a time series of panoramic images of sunflecks reflected from the soil surface and to scale the sunfleck temperature model to a wide area. Finally, this image-based model of surface temperatures was combined with the modified sinusoidal model for heat conduction to estimate soil subsurface temperatures and heat flux over a wide area due to sunflecks from a forest canopy.

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Soil temperature under forests: a simple model for predicting soil temperature under a range of forest types

Cited by 151 publications

References 23 publications

Influence of litter layer removal on the soil thermal regime of a pine forest in a mediterranean climate

Influence of litter layer removal on the soil thermal regime of a pine forest in a mediterranean climate

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera

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