scholarly journals Determination of the united quality latent index of adaptability (UQLIA) and contribution of some environmental parameters to it for Deschampsia antarctica populations, Galindez island (Maritime Antarctic) season 2017/2018

2019 ◽  
Vol 16 (2) ◽  
pp. 190-202
Author(s):  
I. Y. Parnikoza ◽  
N. Y. Miryuta ◽  
V. Y. Ivanets ◽  
E. O. Dykyi
Keyword(s):  
Surface Temperature ◽  
Pairwise Comparison ◽  
Environmental Parameters ◽  
Soil Surface ◽  
Deschampsia Antarctica ◽  
Near Surface ◽  
Soil Surface Temperature ◽  
Experimental Populations ◽  
The Individual

The purpose of our work has been to determine the indicator of complex adaptability — the United Quality Latent Index of Adaptability (UQLIA) for the experimental populations of Deschampsia antarctica É. Desv. and study the contribution to it of some environmental factors such as the near soil surface temperature and organogens content. Materials and methods. The determination of UQLIA was based on a pairwise comparison of the differences between investigated parameters of populations by mathematical regression techniques. The soil surface temperature was measured by loggers installed near plants in each locus during April 2017 – April 2018. Results and conclusions. Temperature fluctuations were described during December 2017 – February 2018 for twelve experimental populations of D. antarctica and one control fragment of moss turf subformation from Galindez Island. Significant variations in average daily near surface temperature were observed during the study period between populations, especially in December and January. The UQLIA of D. antarctica for this season was calculated on the basis of the projective cover, biometric indices of generative plants and the content of protective and reserve proteins in seeds for the eleven populations. The values of the United Soil Surface Temperature Influence Index (UTII) for the season summer months and the United Organogens Content in Soil Influence Index (UOCSII) have been calculated for the individual parameters of D. antarctica plants adaptability. The reliable contribution of UTII to ULIA has been shown for December and January, at the moment of the greatest variation of soil surface temperature. UOCSII provided a reliable contribution to the ULIA only in the amount of UTII. Keywords: Deschampsia antarctica, United Quality Latent Index of Adaptability (UQLIA), contribution of soil surface temperature and organogens content to complex adaptability.

Using soil surface temperature to assess soil evaporation in a drip irrigated vineyard

2013 ◽  
Vol 116 ◽  
pp. 128-141 ◽  
Author(s):  
B.L. Kerridge ◽  
J.W. Hornbuckle ◽  
E.W. Christen ◽  
R.D. Faulkner
Keyword(s):  
Surface Temperature ◽  
Soil Surface ◽  
Soil Evaporation ◽  
Soil Surface Temperature

scholarly journals Two-Dimensional Spectral Analysis of Soil Surface Temperature

Hilgardia ◽  
1988 ◽  
Vol 56 (3) ◽  
pp. 1-28 ◽  
Author(s):  
M. Bazza ◽  
R. H. Shumway ◽  
D. R. Nielsen
Keyword(s):  
Spectral Analysis ◽  
Surface Temperature ◽  
Soil Surface ◽  
Two Dimensional ◽  
Soil Surface Temperature

Diagnosis of the Operation of Power Plants

2007 ◽  
Author(s):  
Jose´ Miguel Gonza´lez-Santalo´ ◽  
Abigail Gonza´lez-Di´az ◽  
Carlos Alberto Marin˜o-Lo´pez
Keyword(s):  
Power Plants ◽  
Environmental Changes ◽  
Environmental Parameters ◽  
Combined Cycle ◽  
Characteristic Parameters ◽  
Operating Variables ◽  
Design Values ◽  
The Individual ◽  
The Impact

A system was developed to diagnose the operation of combined cycle power plants and to determine, when deviations are found, which components are causing the deviations and the impact of each component deviation. The system works by comparing the values of the actual operating variables with some reference values that are calculated by a model that was adjusted to the design heat balances. The model can use the actual values of the environmental parameters as well as the design values, so the effect of environmental changes can be quantified and separated. The determination of the individual equipment impacts is done by adjusting the equipment parameters in order to reproduce the values of the measured variables. The adjustment is done by varying the values of the characteristic parameters of the equipment in order to minimize the sum of the squares of the differences between the values of the measured variables and the calculated values from the model.

Partitioning evapotranspiration in semiarid grassland and shrubland ecosystems using time series of soil surface temperature

2009 ◽  
Vol 149 (1) ◽  
pp. 59-72 ◽  
Author(s):  
M.S. Moran ◽  
R.L. Scott ◽  
T.O. Keefer ◽  
W.E. Emmerich ◽  
M. Hernandez ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Soil Surface ◽  
Semiarid Grassland ◽  
Soil Surface Temperature

Analytical Model to Predict Annual Soil Surface Temperature Variation

1995 ◽  
Vol 117 (2) ◽  
pp. 91-99 ◽  
Author(s):  
M. Krarti ◽  
C. Lopez-Alonzo ◽  
D. E. Claridge ◽  
J. F. Kreider
Keyword(s):  
Surface Temperature ◽  
Analytical Model ◽  
Annual Variation ◽  
Soil Surface ◽  
Weather Data ◽  
Phase Lag ◽  
Model Predictions ◽  
Soil Thermal Properties ◽  
Soil Surface Temperature ◽  
Surface Temperature Variation

An analytical model is developed to predict the annual variation of soil surface temperature from readily available weather data and soil thermal properties. The time variation is approximated by a first harmonic function characterized by an average, an amplitude, and a phase lag. A parametric analysis is presented to determine the effect of various factors such as evaporation, soil absorptivity, and soil convective properties on soil surface temperature. A comparison of the model predictions with experimental data is presented. The comparative analysis indicates that the simplified model predicts soil surface temperatures within ten percent of measured data for five locations.

Outdoor demonstration experiment on the effect of soil albedo on soil surface temperature

1984 ◽  
Vol 52 (8) ◽  
pp. 742-744 ◽  
Author(s):  
C. J. Stigter ◽  
Y. B. Mjungu ◽  
J. M. Waryoba
Keyword(s):  
Surface Temperature ◽  
Soil Surface ◽  
Demonstration Experiment ◽  
Soil Surface Temperature

scholarly journals Heterogeneity of soil surface temperature induced by xerophytic shrub in a revegetated desert ecosystem, northwestern China

2013 ◽  
Vol 122 (3) ◽  
pp. 831-840 ◽  
Author(s):  
YA-FENG ZHANG ◽  
XIN-PING WANG ◽  
YAN-XIA PAN ◽  
RUI HU ◽  
HAO ZHANG
Keyword(s):  
Surface Temperature ◽  
Soil Surface ◽  
Northwestern China ◽  
Desert Ecosystem ◽  
Soil Surface Temperature

Efficiency of Grasshopper Baits in Relation to Time of Day of Application

1952 ◽  
Vol 84 (5) ◽  
pp. 147-155 ◽  
Author(s):  
R. H. Handford ◽  
L. G. Putnam
Keyword(s):  
Experimental Data ◽  
Surface Temperature ◽  
Air Temperature ◽  
Soil Surface ◽  
Time Of Day ◽  
Rapid Decrease ◽  
The Other ◽  
Feeding Period ◽  
Air Temperatures ◽  
Soil Surface Temperature

Literature on grasshopper control published hetween 1930 and 1942 stressed the desirability of applying poisoned bait when grasshoppers begin their first main feeding period of the day. Such pubiications include those by Parker (1930). Parker, Walton, and Shotwell (1932), Criddle (1932). Ruggles and Aamodt (1938), and Bird (1940). Parker (1930) found that the lesser migratory grasshopper, Melanoplus mexicanus mexicanus (Sauss.), fed sparingly on baits at air temperatures between 55°F. and 63°F., more actively between 64°F. and 67°F., and most actively between 68°F. and 78°F. A rapid decrease in feeding occurred when air temperature rose above 80°F. or the soil surface temperature above 113°F. Much the same relationship held also for the clear-winged grasshopper, Cammula pellucida (Scudd.). On the basis of such observations it was decided chat an air temperature of 68°F. might be classed as optimum for beginning the application of bait. Parker did not, however, indicate the degree of mortality resulting from such feeding; the other writers gave no experimental data.

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