Microenvironmental heterogeneity of physical soil properties in a broad-leaved Pinus koraiensis forest gap

2009 ◽  
Vol 4 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Wenbiao Duan ◽  
Jing Wang ◽  
Yan Li
Keyword(s):  
Soil Properties ◽  
Pinus Koraiensis ◽  
Forest Gap

Spatial Variability in Physical Soil Properties in a Pinus koraiensis-Dominated Broadleaved Mixed Forest Gap in Xiao Xing’an Mountains of Northeast China

2012 ◽  
Vol 518-523 ◽  
pp. 4761-4765
Author(s):  
Wen Biao Duan ◽  
Yan Li ◽  
Li Xin Chen
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Northeast China ◽  
Interactive Effect ◽  
Mixed Forest ◽  
Grid Method ◽  
Spatial Distance ◽  
Pinus Koraiensis ◽  
Forest Gap ◽  
Anisotropic Structures

Locations of sampling points in Pinus koraiensis-dominated broadleaved mixed forest gap in Xiao Xing’an Mountains of Northeast China were determined by grid method. Spatial variability in physical soil properties (PSPs) at those locations in 2 depths of 0–20 cm and 20–40 cm was analyzed by descriptive statistics and geostatistics. The results indicated that soil water content (SWC), saturated moisture capacity, capillary water-holding capacity and porosity were higher in 0–20 cm than in 20–40 cm except for bulk density. PSPs in 0–20 cm had relatively higher ranges and coefficients of variation. The total and autocorrelative spatial heterogeneity in PSPs were larger in 0–20 cm than in 20–40 cm. SWC had a strong anisotropic structure in an easterly and northerly direction, but porosity exhibited isotropy structure in the same directions. With increasing spatial distance, the three other PSPs presented anisotropic structures. Within spatial autocorrelative range, the interactive effect between semivariograms of PSPs in 0–20 cm was not significant. For spatial distribution of PSPs in 2 different depths, the patches with the middle and lower ranks dominated in the forest gap. Patches with higher rank were only distributed in 0–20 cm and were located north of the forest gap.

Spatiotemporal Heterogeneity in SWC in a Pinus koraiensis-Dominated Broadleaved Mixed Forest Gap in Xiao Xinganling’ Mountains, China

2012 ◽  
Vol 610-613 ◽  
pp. 3342-3346
Author(s):  
Wen Biao Duan ◽  
Li Xia Wang
Keyword(s):  
Lower Layer ◽  
Mixed Forest ◽  
Growing Season ◽  
Pinus Koraiensis ◽  
Forest Gap ◽  
Ne China ◽  
Classical Statistics ◽  
Higher Rank ◽  
Spatiotemporal Heterogeneity ◽  
The Difference

Spatiotemporal heterogeneity in SWC within 0-20 cm (upper layer) and 20-40 cm (lower layer) in a Pinus koraiensis-dominated broadleaved mixed forest gap in Xiao Xing’an Mountains of NE China was analyzed by using classical statistics and geographical statistics. The results indicated that the variation regularity in SWC within 0-20 cm was different from that within 20-40 cm during the growing season, the difference in SWC between the two layers reached significant level at P<0.01; the variability degree in SWC within every layer fell into medium variation. Spatiotemporal heterogeneity in SWC occurred with different degree during the study period. Autocorrelative spatial heterogeneity in SWC constituted the main part of total SWC heterogeneity. For SWC spatial distribution within different layer, the patches at medium and lower ranks dominated in forest gap, the patches at higher rank only distributed within 0-20 cm.

Effects of soil characteristics on forest gap regeneration in different types of natural Pinus koraiensis mixed forest

2017 ◽  
Vol 37 (12) ◽  
Author(s):  
刘少冲 LIU Shaochong ◽  
陈立新 CHEN Lixin ◽  
段文标 DUAN Wenbiao ◽  
张超 ZHANG Chao ◽  
李少博 LI Shaobo ◽  
...  
Keyword(s):  
Mixed Forest ◽  
Soil Characteristics ◽  
Pinus Koraiensis ◽  
Forest Gap ◽  
Gap Regeneration ◽  
Different Types

Effects of Management Measures on Soil Properties of Pinus koraiensis Plantations

2011 ◽  
Vol 356-360 ◽  
pp. 2758-2762
Author(s):  
Shu Li Wang ◽  
Ning Ning Fan
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Properties ◽  
Soil Layer ◽  
Chemical Properties ◽  
Soil Bulk Density ◽  
Pinus Koraiensis ◽  
Management Measures ◽  
Microbial Characteristics ◽  
Natural Reserve

The effects of four management measures (A: All broad-leaved trees and shrubs were cut, B: All broad-leaved trees were cut, C: All shrubs were cut, D: Partial upper broad-leaved trees were cut uniform.) of Pinus koraiensis plantations on the soil properties were studied in National Natural Reserve located in Lesser Xingan Mountains. Litter mass, soil organic matter mass, soil physical properties, soil chemical properties and microbial characteristics were affected significantly by management activities in the Pinus koraiensis plantations no matter what kind of management measures. The rate of undecomposed layer was bigger than 50% in measure A and measure B, and smaller than 50% in measure C and measure D. The lowest surface soil bulk density was in measure C and D. Soil organic matter mass of measure C and D was bigger than that of measure A and B. In the upper soil layer, the nutrient of measure C and D was higher than that of measure A and B. The totoal number of bacterium, fungi and actinomycetes was the bigger in measure C and D, and the smaller in measure A and B. The rusults of the soil properties under different management measures seems to confirm that increasing the degree of close-to-nature forest management could be conductive to improve the soil quality of Pinus koraiensis plantation.

Preservation of broadleaf species in Korean pine (Pinus koraiensis) plantations affects soil properties, carbon storage, biomass allocation, and available nitrogen storage

2008 ◽  
Vol 38 (8) ◽  
pp. 2227-2235 ◽  
Author(s):  
Xuefeng Li ◽  
Shijie Han
Keyword(s):  
Growth Rate ◽  
Soil Properties ◽  
Forest Floor ◽  
Pinus Koraiensis ◽  
Litter Production ◽  
Korean Pine ◽  
Pine Plantation ◽  
Available Nitrogen ◽  
Korean Pine Plantation ◽  
Broadleaf Species

We analyzed forest floor mass, soil properties, soil organic carbon (SOC) storage, soil available nitrogen (NO3–-N and NH4+-N) (SAN) storage, litter production and decomposition, tree biomass, and the growth rate of Korean pine ( Pinus koraiensis Sieb. et Zucc.) to determine the impacts of keeping broadleaf species in the Korean pine plantation on Korean pine growth and identify the interactions of plants and soil. Forest biomass and litter production were significantly higher in the broadleaf mixed Korean pine plantation (KBP) than in the pure Korean pine plantation (KP). Broadleaf species redistributed carbon from forest floor to mineral soil via its fast litter decomposition rate with the result of a smaller forest floor mass and a greater SOC storage in KBP than in KP. KBP had significantly higher SOC and SAN storages, SOC and SAN concentrations, and pH, and lower soil bulk density than KP. Such differences can be largely explained by the input of broadleaf litter into KBP. The Korean pine in KBP had a greater growth rate and allocated a smaller proportion of biomass below ground, indicating that the broadleaf species influenced the Korean pine growth and biomass allocation pattern by changing soil properties. There was a positive feedback among litter N release rate, SAN storage, and plant growth rates.

Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties

2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng
Keyword(s):  
Soil Properties ◽  
Lagrange Multipliers ◽  
Unbiased Estimator ◽  
Soil Property ◽  
Minimum Variance ◽  
Distance Method ◽  
True Value ◽  
A Site ◽  
Method Of Lagrange Multipliers ◽  
Inverse Distance

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.

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