scholarly journals EFFECTS OF HURRICANE-DRIVEN DEFORESTATION AND REFORESTATION ON DIURNAL SOIL TEMPERATURE CHANGES IN THE TATRA MOUNTAINS IN SOUTHERN POLAND

2020 ◽  
Vol 19 (3) ◽  
pp. 59-71
Author(s):  
Joanna Siwek ◽  

Aim of the study: The aim of the study was to investigate the effect of hurricane-driven deforestation and reforestation on diurnal changes in soil temperatures in the Tatra Mountains (Poland). Material and methods: Soil temperature was measured at 0.20 m of depth in the mineral soil horizons on both north-facing and south-facing slopes in the deforested subcatchment and in the control woodland subcatchment. Soil temperature measurements were collected every 10 minutes in 2015–2020. The cross-correlation analysis was applied in order to determine the magnitude of the delay of soil temperature to air temperature changes at four studied sites during a day. Results and conclusions: The effect of deforestation on diurnal changes in soil temperature manifested itself mainly via a larger range of diurnal soil temperatures during warmer part of the year. In the summer months the diurnal soil temperature range for deforested slopes was 1 to 3℃ higher than that for wooded slopes. Diurnal soil temperature ranges were found to strongly decline with reforestation. Deforested slopes were characterized by a more rapid soil temperature reaction to changes in air temperature over the course of the day. Cross-correlation revealed that soil temperature changes on a deforested, south-facing slope occurred 4 to 5 hours later relative to changes in air temperature, while the delay for a wooded slope facing the same direction was usually 7 to 8 hours. Soil temperatures in the summer, both during the day and at nighttime, were higher on deforested slopes than wooded slopes. This indicates that deforestation may significantly intensify soil warming caused by global climate warming.

2017 ◽  
Vol 8 (2) ◽  
pp. 203-218 ◽  
Author(s):  
Zohreh Maryanaji ◽  
Hajar Merrikhpour ◽  
Hamed Abbasi

The main objective of this study is to develop a general methodology for predicting soil temperature based on general circulation data. To meet this demand, we used temperature data that can be profitably used to predict soil temperature in a period of 20 years. Accordingly, air temperature data were downscaled to 2016–2025 based on LARS-WG data. The obtained results indicated that the model has precisely predicted minimal and maximal temperatures. According to the results, the best correlation methods are S, cubic, and quadratic. To investigate soil temperature changes, the predicted data were classified and categorized into two separate decades (2016–2025 and 2026–2035). The results showed that air temperature increases to 1 °C and 1.2 °C in the first decade (2016–2025) and the second decade (2026–2035), respectively, but varies in different regions. The predicted air temperature is lower in the eastern part of the region. In the central region, air and soil temperatures are predicted to be greater than that of other regions. It should also be mentioned that a variety of temperature changes are related to the depth of soil.


1995 ◽  
Vol 25 (3) ◽  
pp. 507-515 ◽  
Author(s):  
Anders Lindström ◽  
Erik Troeng

Soil temperatures were measured at a depth of 8 cm in top, middle, and bottom positions of 30 cm high mineral and organic mounds and at 8 cm depth in scarified patches during winter and spring 1987–1988 and 1988–1989. At low air temperature, frozen mounds without snow cover showed much lower temperatures than snow-covered mounds, the maximum difference being 16 °C. During the coldest period of the two winters, when minimum air temperature was −26 °C, soil temperature in the top of a snowless mineral mound remained within −16 to −10 °C for 3.5 days and −8 to −5 °C in a snowless scarified patch. Minimum temperatures were lower, duration of low temperature freezing was longer, and temperature changes were more rapid in mineral than in organic mounds. Large temperature differences were found between the top and the bottom of mounds. In dry conditions during early spring, the upper part of the mineral mound thawed and froze repeatedly with daily maximum and minimum temperatures of 5 °C and −6 °C. Soil temperature patterns during the winter period are discussed in relation to root freezing tolerance of conifer seedlings. Mounding as a scarification method should be used with care as winter temperatures may injure seedling root systems.


2013 ◽  
Vol 10 (7) ◽  
pp. 4465-4479 ◽  
Author(s):  
K. L. Hanis ◽  
M. Tenuta ◽  
B. D. Amiro ◽  
T. N. Papakyriakou

Abstract. Ecosystem-scale methane (CH4) flux (FCH4) over a subarctic fen at Churchill, Manitoba, Canada was measured to understand the magnitude of emissions during spring and fall shoulder seasons, and the growing season in relation to physical and biological conditions. FCH4 was measured using eddy covariance with a closed-path analyser in four years (2008–2011). Cumulative measured annual FCH4 (shoulder plus growing seasons) ranged from 3.0 to 9.6 g CH4 m−2 yr−1 among the four study years, with a mean of 6.5 to 7.1 g CH4 m−2 yr−1 depending upon gap-filling method. Soil temperatures to depths of 50 cm and air temperature were highly correlated with FCH4, with near-surface soil temperature at 5 cm most correlated across spring, fall, and the shoulder and growing seasons. The response of FCH4 to soil temperature at the 5 cm depth and air temperature was more than double in spring to that of fall. Emission episodes were generally not observed during spring thaw. Growing season emissions also depended upon soil and air temperatures but the water table also exerted influence, with FCH4 highest when water was 2–13 cm below and lowest when it was at or above the mean peat surface.


2008 ◽  
Vol 15 (3) ◽  
pp. 409-416 ◽  
Author(s):  
F. Anctil ◽  
A. Pratte ◽  
L. E. Parent ◽  
M. A. Bolinder

Abstract. The objective of this work was to compare time and frequency fluctuations of air and soil temperatures (2-, 5-, 10-, 20- and 50-cm below the soil surface) using the continuous wavelet transform, with a particular emphasis on the daily cycle. The analysis of wavelet power spectra and cross power spectra provided detailed non-stationary accounts with respect to frequencies (or periods) and to time of the structure of the data and also of the relationships that exist between time series. For this particular application to the temperature profile of a soil exposed to frost, both the air temperature and the 2-cm depth soil temperature time series exhibited a dominant power peak at 1-d periodicity, prominent from spring to autumn. This feature was gradually damped as it propagated deeper into the soil and was weak for the 20-cm depth. Influence of the incoming solar radiation was also revealed in the wavelet power spectra analysis by a weaker intensity of the 1-d peak. The principal divergence between air and soil temperatures, besides damping, occurred in winter from the latent heat release associated to the freezing of the soil water and the insulation effect of snowpack that cease the dependence of the soil temperature to the air temperature. Attenuation and phase-shifting of the 1-d periodicity could be quantified through scale-averaged power spectra and time-lag estimations. Air temperature variance was only partly transferred to the 2-cm soil temperature time series and much less so to the 20-cm soil depth.


1952 ◽  
Vol 5 (2) ◽  
pp. 303 ◽  
Author(s):  
ES West

Soil temperatures recorded at Griffith over an 8 year period at a depth ranging from 1 in. to 8 ft. have been examined and compared with air temperatures. The observed fluctuations m the soil temperatures fit closely the theoretical equation for the propagation of a simple harmonic temperature wave into the so11. The diffusivity of the sol1 has been deduced and compared with values found by other workers in other localities. The annual wave of the daily mean temperature at the surface of the soil has been deduced and compared with the annual wave of the dally mean air temperature and the differences in the means, amplitudes, and phase displacements have been discussed.


2019 ◽  
Vol 29 (3) ◽  
pp. 204-209
Author(s):  
Jade Dessent ◽  
Susan Lawler ◽  
Daryl Nielsen

AbstractFuture climate change predictions indicate that there will be an increase in ambient air temperature. Increases in ambient air temperature will result in a corresponding increase in soil temperature. The consequences of further increases in soil temperature will potentially be detrimental for the soil seed bank of plants in terms of length of dormancy and viability of seeds. This experiment investigated the effect of different exposure temperatures and duration of exposure on the germination of semi-aquatic plant species. Seeds of four species (Alternanthera denticulata, Juncus usitatus, Persicaria lapathifolia and Persicaria prostrata) were exposed to temperatures ranging from 25 to 100°C for durations between 1 and 14 days, before being germinated in an incubator for 6 weeks. Germination occurred in all four species after exposure to temperatures ranging from 25 to 60°C. These temperatures appeared to promote germination as the temperature and duration of exposure increased. However, in P. lapathifolia and P. prostrata, the number of seeds germinating declined when exposed to 70°C and there was no germination for temperatures exceeding this. In contrast, A. denticulata and J. usitatus only began to decline when exposed to 80°C, with no germination at higher temperatures. These results suggest that soil temperatures exceeding potential threshold temperatures of 70 and 80°C will result in a decline in the number of seeds germinating and may potentially see a change in species distributions. As such soil temperatures are already being experienced throughout Australia, some species may already be close to their thermal threshold.


2011 ◽  
Vol 2 (1) ◽  
pp. 161-210 ◽  
Author(s):  
D. Wisser ◽  
S. Marchenko ◽  
J. Talbot ◽  
C. Treat ◽  
S. Frolking

Abstract. Northern peatlands contain a large terrestrial carbon pool that plays an important role in the Earth's carbon cycle. A considerable fraction of this carbon pool is currently in permafrost and is biogeochemically relatively inert; this will change with increasing soil temperatures as a result of climate warming in the 21st century. We use a geospatially explicit representation of peat areas and peat depth from a recently-compiled database and a geothermal model to estimate northern North America soil temperature responses to predicted changes in air temperature. We find that, despite a widespread decline in the areas classified as permafrost, soil temperatures in peatlands respond more slowly to increases in air temperature owing to the insulating properties of peat. We estimate that an additional 670 km3 of peat soils in North America, containing ~33 Pg C, could be seasonally thawed by the end of the century, representing ~20% of the total peat volume in Alaska and Canada. Warming conditions result in a lengthening of the soil thaw period by ~40 days, averaged over the model domain. These changes have potentially important implications for the carbon balance of peat soils.


1928 ◽  
Vol 18 (1) ◽  
pp. 90-122 ◽  
Author(s):  
E. McKenzie Taylor

1. The soil temperatures in Egypt at a number of depths have been recorded by means of continuous recording thermometers. In general, the records show that the amplitude of the temperature wave at the surface of the soil is considerably greater than the air temperature wave. There is, however, a considerable damping of the wave with depth, no daily variation in temperature being observed at a depth of 100 cm.2. No definite relation between the air and soil temperatures could be traced. The maximum air temperature was recorded in May and the maximum soil temperature in July.3. The amplitude of the temperature wave decreases with increase in depth. The decrease in amplitude of the soil temperature wave is not regular owing to variations in the physical properties of the soil layers. Between any two depths, the ratio of the amplitudes of the temperature waves is constant throughout the year. The amplitude of the soil temperature wave bears no relation to the amplitude of the air temperature wave.4. The time of maximum temperature at the soil surface is constant throughout the year at 1 p.m. The times of maximum temperature at depths below the surface lag behind the time of surface maximum, but they are constant throughout the year. When plotted against depth, the times of maximum at the various soil depths lie on a straight line.


2013 ◽  
Vol 43 (3) ◽  
pp. 209-223 ◽  
Author(s):  
Jana Krčmáŕová ◽  
Hana Stredová ◽  
Radovan Pokorný ◽  
Tomáš Stdŕeda

Abstract The aim of this study was to evaluate the course of soil temperature under the winter wheat canopy and to determine relationships between soil temperature, air temperature and partly soil moisture. In addition, the aim was to describe the dependence by means of regression equations usable for phytopathological prediction models, crop development, and yield models. The measurement of soil temperatures was performed at the experimental field station ˇZabˇcice (Europe, the Czech Republic, South Moravia). The soil in the first experimental plot is Gleyic Fluvisol with 49-58% of the content particles measuring < 0.01 mm, in the second experimental plot, the soil is Haplic Chernozem with 31-32% of the content particles measuring < 0.01 mm. The course of soil temperature and its specifics were determined under winter wheat canopy during the main growth season in the course of three years. Automatic soil temperature sensors were positioned at three depths (0.05, 0.10 and 0.20 m under soil surface), air temperature sensor in 0.05 m above soil surface. Results of the correlation analysis showed that the best interrelationships between these two variables were achieved after a 3-hour delay for the soil temperature at 0.05 m, 5-hour delay for 0.10 m, and 8-hour delay for 0.20 m. After the time correction, the determination coefficient reached values from 0.75 to 0.89 for the depth of 0.05 m, 0.61 to 0.82 for the depth of 0.10 m, and 0.33 to 0.70 for the depth of 0.20 m. When using multiple regression with quadratic spacing (modeling hourly soil temperature based on the hourly near surface air temperature and hourly soil moisture in the 0.10-0.40 m profile), the difference between the measured and the model soil temperatures at 0.05 m was −2.16 to 2.37 ◦ C. The regression equation paired with alternative agrometeorological instruments enables relatively accurate modeling of soil temperatures (R2 = 0.93).


Author(s):  
Adhia Azhar Fauzan ◽  
Komariah Komariah ◽  
Sumani Sumani ◽  
Dwi Priyo Ariyanto ◽  
Tuban Wiyoso

Himawari 8 satellite image, which was launched in October 2014 and began the operational in July 2015, serves to identify and track the phenomenon of rapid changes in weather. The purpose of this research was to determine the model of local air and soil temperatures using Himawari 8 satellite image. Local air and soil temperatures information was collected from the Climatology Station of Semarang district, Central Java, Indonesia. Interpretation of the Himawari 8 satellite image was performed, as well as the statistical tests of correlation and regression, according to the sun's pseudo motion. Pair correlation and regression analysis on satellite image with air temperature; and air temperature with soil temperature (bare and grass). The results showed the satellite imagery of Himawari 8 could predict the air and soil temperatures, especially bare soil. In specific, the accuracies were higher on soil temperature at 0 (surface) and 5 cm depth. But each period produced vary accuracy, due to many weather elements had may affect the air and soil temperatures.


Sign in / Sign up

Export Citation Format

Share Document