scholarly journals Effects of snow compaction ‘yuki-fumi’ on soil frost depth and volunteer potato control in potato–wheat rotation system in Hokkaido

2020 ◽  
pp. 1-12
Author(s):  
Seiji Shimoda ◽  
Masayuki Onodera ◽  
Osamu Okumura ◽  
Hideharu Araki ◽  
Atsushi Kimura ◽  
...  
2006 ◽  
Vol 49 (5) ◽  
pp. 1383-1394 ◽  
Author(s):  
C. Lin ◽  
D. K. McCool
Keyword(s):  

1989 ◽  
Vol 20 (1) ◽  
pp. 9-24 ◽  
Author(s):  
Bertel Vehviläinen ◽  
Yuri Motovilov

A physically based soil frost depth model usable with air temperature data and precipitation data, is presented. Snow depth is calculated from precipitation data using a physical snow cover model. The soil frost depth model is tested in one small basin, with a five-year calibration and verification period. Results from snow depth and soil frost depth simulation were satisfactory also in the verification period. In the second stage simulated frost depth information was used to develop an HBV-runoff model version, attempting to simulate the possible effect of soil frost on runoff. The simulation results are presented. These results suggest that soil frost does not have a very important effect on runoff in this forested basin.


2003 ◽  
Vol 18 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Mikaell Ottosson Löfvenius ◽  
Martina Kluge ◽  
Tomas Lundmark
Keyword(s):  

2010 ◽  
Vol 11 (2) ◽  
pp. 229-252 ◽  
Author(s):  
Tushar Sinha ◽  
Keith A. Cherkauer ◽  
Vimal Mishra

Abstract The present study examines the effects of historic climate variability on cold-season processes, including soil temperature, frost depth, and the number of frost days and freeze–thaw cycles. Considering the importance of spatial and temporal variability in cold-season processes, the study was conducted in the midwestern United States using both observations and model simulations. Model simulations used the Variable Infiltration Capacity (VIC) land surface model (LSM) to reconstruct and to analyze changes in the long-term (i.e., 1917–2006) means of soil frost variables. The VIC model was calibrated using observed streamflow records and near-surface soil temperatures and then evaluated for streamflow, soil temperature, frost depth, and soil moisture before its application at the regional scale. Soil frost indicators—such as the number of frost days and freeze–thaw cycles—were determined from observed records and were tested for the presence of significant trends. Overall trends in extreme and mean seasonal soil temperature from 1967 onward indicated a warming of soil temperatures at a depth of 10 cm—specifically in northwest Indiana, north-central Illinois, and southeast Minnesota—leading to a reduction in the number of soil frost days. Model simulations indicated that by the late-century period (1977–2006), soil frost duration decreased by as much as 36 days compared to the midcentury period (1947–76). Spatial averages for the study area in warm years indicated shallower frost penetration by 15 cm and greater soil temperatures by about 3°C at 10-cm soil depth than in the cold years.


1977 ◽  
Vol 57 (2) ◽  
pp. 419-426 ◽  
Author(s):  
C. E. OUELLET

A technique was developed to determine the long-term climatic contribution of each month to the winter injury of alfalfa from the start of growth in May to the end of the dormant period in April the next year. The basic hypothesis was that this contribution is proportional to the number of climatic variables (single or combined) showing a significant difference between the years of higher and lower survival, i.e. to the number of variables affecting survival. The variables were related to soil and air temperatures, soil frost depth, hours of sunshine, and rain and snow regimes. Annual curves of the monthly numbers of significant variables for Swift Current and La Pocatière were similar. Converting the number of significant variables into terms of relative winter injury, the critical months at Swift Current were: May, contributing to winter injury by 12%; October (12%); December (19%); March (11%); and April (22%). At La Pocatière, they were: May (12%); November (15%); January (10%); March (10%); and April (33%). The similarity in the relative importance of various months at both sites indicated that alfalfa survival is more particularly influenced by the climate during certain phases of its life cycle.


Author(s):  
Tomoyoshi Hirota ◽  
Manabu Nemoto ◽  
Satoshi Inoue ◽  
Tomotsugu Yazaki ◽  
Kazuei Usuki ◽  
...  

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