scholarly journals Simulation of Organic Matter Loss in the Area Around Taihu Lake

1999 ◽  
Vol 11 (1) ◽  
pp. 81-85 ◽  
Author(s):  
XU Xiang-yang ◽  
◽  
LIU Jun
Keyword(s):  
Organic Matter ◽  
Taihu Lake ◽  
Organic Matter Loss

ESTIMATION OF SOIL EROSION AND DEPOSITION BY A LANDSCAPE ANALYSIS TECHNIQUE ON CLAY SOILS IN SOUTHWESTERN SASKATCHEWAN

1983 ◽  
Vol 63 (4) ◽  
pp. 727-739 ◽  
Author(s):  
A. R. MERMUT ◽  
D. F. ACTON ◽  
W. D. EILERS
Keyword(s):  
Organic Matter ◽  
Landscape Analysis ◽  
Clay Soils ◽  
Erosion And Deposition ◽  
Swelling Clay ◽  
Analysis Technique ◽  
Native Grassland ◽  
Close Relationship ◽  
Organic Matter Loss ◽  
The Relationship

The thicknesses of self-mulching A horizons were studied in native grassland and cultivated glaciolacustrine clay soils in southwestern Saskatchewan to estimate the extent of erosion and evaluate the relationship between slope characteristics, erosion and sedimentation. It has been shown that under similar gradient, the thickness of the A horizon, in the erosional portion of slopes, is less under cultivated than native grassland conditions; whereas, in the depositional portion the thickness of the A horizon is greater under cultivation. Erosion equations were developed which indicated 7.4 kg∙m−2∙yr−1 or 0.57 cm/yr for a 7.5% backslope and 2.1 kg∙m−2∙yr−1 or 0.16 cm/yr for 2% backslope. Calculated losses of organic matter from the most severely eroded slopes amounted to 650 kg∙ha−1∙yr−1. Comparable losses of nitrogen were 65 kg∙ha−1∙yr−1. This represents a 41% and 35% loss in organic matter and nitrogen, respectively, under nearly 70 yr of cultivation. The very close relationship shown in this study between various slope attributes and erosion clearly indicates the importance of slope considerations in all erosion studies. Key words: Erosion, deposition, swelling clay soils, landscape analysis, organic matter loss

Rapid soil organic matter loss from forest dieback in a subalpine coniferous ecosystem

2011 ◽  
Vol 43 (12) ◽  
pp. 2450-2456 ◽  
Author(s):  
Yanmei Xiong ◽  
Justin J. D’Atri ◽  
Shenglei Fu ◽  
Hanping Xia ◽  
Timothy R. Seastedt
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Forest Dieback ◽  
Organic Matter Loss

scholarly journals Characterizing dissolved organic matter in Taihu Lake with PARAFAC and SOM method

2022 ◽  
Author(s):  
W. Zhang ◽  
T. Li ◽  
B. Dong
Keyword(s):  
Neural Network ◽  
Organic Matter ◽  
Dissolved Organic Matter ◽  
Fluorescence Spectrum ◽  
Spectrum Analysis ◽  
Lake Water ◽  
Taihu Lake ◽  
Three Dimensional ◽  
Fluorescence Characteristics ◽  
Network Method

Abstract The three-dimensional fluorescence spectrum has a significant amount of information than the single-stage scanning fluorescence spectrum. At the same time, the parallel factor (PARAFAC) analysis and neural network method can help explore the fluorescence characteristics further, thus could be used to analyse multiple sets of three-dimensional matrix data. In this study, the PARAFAC analysis and the self-organizing mapping (SOM) neural network method are firstly introduced comprehensively. They are then adopted to extract information of the three-dimensional fluorescence spectrum data set for fluorescence characteristics analysis of dissolved organic matter (DOM) in Taihu Lake water. Forty water samples with DOM species were taken from different seasons with the fluorescence information obtained through the three-dimensional fluorescence spectrum analysis, PARAFAC analysis and SOM analysis. The PARAFAC analysis results indicated that the main fluorescence components of dissolved organic matter in Taihu Lake water were aromatic proteins, fulvic acids, and dissolved microorganisms. While the SOM analysis results exhibited that the fluorescence characteristics of the dissolved organics in Taihu Lake varied seasonally. Therefore, the combined method of the three-dimensional fluorescence spectrum analysis, PARAFAC and SOM analysis can provide important information for the characterization of the fluorescence properties of dissolved organic matter in surface water bodies.

Rumen degradation of straw 3. Botanical fractions of two rice straw varieties and effects of ammonia treatment

1988 ◽  
Vol 46 (3) ◽  
pp. 347-352 ◽  
Author(s):  
T. K. Walli ◽  
E. R. Ørskov ◽  
P. K. Bhargava
Keyword(s):  
Organic Matter ◽  
Rice Straw ◽  
Dry Matter ◽  
Leaf Sheath ◽  
Silica Content ◽  
Ammonia Treatment ◽  
Rumen Degradation ◽  
Dry Matter Loss ◽  
Organic Matter Loss ◽  
Whole Plants

ABSTRACTTwo varieties of rice straw, long variety — no. 370 Basmati traditional (L) and short variety — no. PR106 hybrid (S) were separated into botanical fractions giving the proportion of leaf plus leaf sheath, internode, node and chaff (g/kg dry matter) as 633, 247, 83 and 37 for L and 680, 156, 76 and 88 for S, respectively. Samples of whole plants, leaves plus leaf sheaths and internodes were subjected to ammonia treatment. The chemical composition and the rumen degradability of dry matter and organic matter determined by the nylon bag technique were ascertained for treated and untreated samples of whole plants and botanical fractions of plants from both varieties. The ash and silica content were higher in leaf plus leaf sheath, 211 and 102 g/kg for the L and 190 and 67 g/kg for the S, than in internodes, 160 and 29 g/kg for L and 184 and 29 g/kg S, respectively.The potential degradability (a + b) value from the formula p = a + b(−e−ct) for dry-matter loss (DML), organic-matter loss (OML) and degradability of organic matter in dry matter (DOMD) were significantly higher for the S being 622, 659 and 544 g/kg, than for the L being 561, 586 and 500 g/kg, respectively (P < 0·01). The degradation rate too was significantly higher for the S than for the L for DML, OML and DOMD (P < 0·01). The ammonia treatment significantly improved the potential degradability for DML, OML and DOMD for both the varieties and their fractions (P < 0·01).

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