2 resultados para lethal moisture
em Brock University, Canada
Resumo:
The purpose of this study was to determine the effect of increased soil moisture levels on
the decomposition processes in a peat-extracted bog. Field experiments, in which soil
moisture levels were manipulated, were conducted using 320 microcosms in the
Wainfleet Bog from May 2002 to November 2004. Decomposition was measured using
litter bags and monitoring the abundance of macro invertebrate decomposers known as
Collembola. Litter bags containing wooden toothpicks (n=2240), filter paper (n=480)
and Betula pendula leaves (n=40) were buried in the soil and removed at regular time
intervals up to one year. The results of the litter bag studies demonstrated a significant
reduction of the decomposition of toothpicks (p<0.001), filter paper (p<0.001), and
Betula pendula leaves (p
Resumo:
The effects. of moisture, cation concentration, dens ity , temper~ t ure and grai n si ze on the electrical resistivity of so il s are examined using laboratory prepared soils. An i nexpen si ve method for preparing soils of different compositions was developed by mixing various size fractions i n the laboratory. Moisture and cation c oncentration are related to soil resistivity by powe r functions, whereas soil resistiv ity and temperature, density, Yo gravel, sand , sil t, and clay are related by exponential functions . A total of 1066 cases (8528 data) from all the experiments were used in a step-wise multiple linear r egression to determine the effect of each variable on soil resistivity. Six variables out of the eight variables studied account for 92.57/. of the total variance in so il resistivity with a correlation coefficient of 0.96. The other two variables (silt and gravel) did not increase the · variance. Moisture content was found to be - the most important Yo clay. variable- affecting s oil res istivi ty followed by These two variables account for 90.81Yo of the total variance in soil resistivity with a correlation ~oefficient ·.of 0 . 95. Based on these results an equation to ' ~~ed{ ct soil r esist ivi ty using moisture and Yo clay is developed . To t est the predicted equation, resistivity measurements were made on natural soils both in s i tu a nd i n the laboratory. The data show that field and laboratory measurements are comparable. The predicted regression line c losely coinciqes with resistivity data from area A and area B soils ~clayey and silty~clayey sands). Resistivity data and the predicted regression line in the case of c layey soils (clays> 40%) do not coincide, especially a t l ess than 15% moisture. The regression equation overestimates the resistivity of so i l s from area C and underestimates for area D soils. Laboratory prepared high clay soils give similar trends. The deviations are probably caused by heterogeneous distribution of mo i sture and difference in the type o f cl ays present in these soils.