Soil Properties and Development of Humus Forms in Pine and Oak Stands of Reclaimed Post-mining Sites in Lusatia

2013 ◽  
pp. 67-87 ◽  
Author(s):  
Oliver Bens ◽  
Reinhard Hüti ◽  
Jan Frouz
Keyword(s):  
Soil Properties ◽  
Mining Sites ◽  
Humus Forms

Effects of conversion from vineyard to tree plantation on humus forms, soil organic carbon stock and other soil properties

2020 ◽  
Author(s):  
Chiara Ferré ◽  
Gianni Facciotto ◽  
Sara Bergante ◽  
Roberto Comolli
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Properties ◽  
Soil Texture ◽  
C:N Ratio ◽  
Tree Plantation ◽  
Humus Forms ◽  
Organic Horizons ◽  
Soc Stock ◽  
The Impact

<p>We explored the effects of conversion from vineyard to tree plantation on humus forms, soil organic carbon (SOC) stocks and other soil properties by sampling paired plots in a hilly area of Monferrato (Piedmont, Italy).</p><p>The study area is located at Rosignano Monferrato (AL) and includes a vineyard (VY) and a nearby 30-years-old tree plantation (TP) for wood production that replaced an existing vineyard, where eight poplar clones were consociated with other timber species (wild cherry, European ash, manna ash, deodar cedar). The area under study covers 3 ha and extends along a slighty-wavy slope with an average gradient of 15%; according to the WRB classification, soils are Calcaric Cambisols (Loamic).</p><p>The impact of land use change on soil properties was evaluated considering the spatial variability of soil characteristics, testing for autocorrelation among the model residuals. Soil sampling was performed from 3 layers (0-10 cm, 10-40 cm and 40-70 cm) at 61 and 69 points in the VY and the TP respectively, to characterize soil pH in water, organic carbon content and SOC stock, C:N ratio, soil texture and total carbonates. The common pedological origin of soils within the study area was verified and confirmed by comparability of soil texture and carbonates content of the deeper layer.</p><p>At TP the humus forms were described and classified; the organic horizons were sampled and analyzed for OC content determination.</p><p>Statistical analyses showed significant (p-value < 0.05) differences for all the investigated layers between the considered land uses with regard to pH, SOC stock and C:N ratio.</p><p>Our study provided evidence that: (1) the conversion from vineyard to tree plantation resulted in the appearance of organic horizons: the main humus forms in TP were Mull and Amphi; (2) 30 years of tree plantation strongly modified SOC stock, resulting in an increase of 26% in the first 70 cm, which became 42% if the organic layers were included; (2) soil acidification (pH difference of 0.4) and change in SOC type (C:N increase of 1) were also observed in TP compared to VY; and (3) the spatial distribution of soil properties in the VY were affected by erosive and depositional dynamics unlike the TP where vegetation counterbalance erosion.</p>

Is the effect of trees on soil properties mediated by soil fauna? A case study from post-mining sites

2013 ◽  
Vol 309 ◽  
pp. 87-95 ◽  
Author(s):  
Jan Frouz ◽  
Miluše Livečková ◽  
Jana Albrechtová ◽  
Alica Chroňáková ◽  
Tomáš Cajthaml ◽  
...  
Keyword(s):  
Soil Properties ◽  
Soil Fauna ◽  
Mining Sites

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.

AVAILABLE WAYS TO OPTIMIZE SOIL PROPERTIES IN APPLE ORCHARDS

2020 ◽  
Vol 16 (2) ◽  
pp. 41-63
Author(s):  
V.L. Zakharov ◽  
◽  
G.N. Pugachev ◽  
Keyword(s):  
Soil Properties ◽  
Apple Orchards

Geospatial comparison of three models to predict soil properties in semi-humid region of West Bengal, India

2018 ◽  
Vol 32 (5) ◽  
pp. 37
Author(s):  
Rajaram Majhi ◽  
Gouri Sankar Bhunia ◽  
Tapan Kumar Das ◽  
Pravat Kumar Shit ◽  
Rabindranath Chattopadhyay
Keyword(s):  
Soil Properties ◽  
West Bengal ◽  
Humid Region
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