Rhizosphere priming is tightly associated with root-driven aggregate turnover

2020 ◽  
Vol 149 ◽  
pp. 107964
Author(s):  
Xiaohong Wang ◽  
Liming Yin ◽  
Feike A. Dijkstra ◽  
Jiayu Lu ◽  
Peng Wang ◽  
...  
Keyword(s):  
Aggregate Turnover

scholarly journals Optimal ratio of cash and non-cash payments

2014 ◽  
pp. 114-126
Author(s):  
G. S. Panova
Keyword(s):  
Information Exchange ◽  
Public Information ◽  
Scientific Basis ◽  
Present Condition ◽  
Information Transparency ◽  
Optimal Ratio ◽  
Money Flows ◽  
Aggregate Turnover ◽  
Basic Approaches ◽  
The Stability

Analysis of the present condition and prospects of development of the monetary sector of the Russian economy. Quantitative parameters of aggregate turnover, including the value of cash and non-cash it. Researched issues restricting cash advance industry in Russia and other countries; the problems encountered by foreign States in imposing administrative limits on cash payments; provides specific recommendations and identified risks imposing such restrictions in Russia. The article deals with topical issues of optimization of structure of aggregate turnover. Analyzing the development of money turnover, the role and the place of cash in the economy, the author explored the basic approaches to the determination and regulation of money turnover, proposed a new approach to ensure transparency in money flows. Particularly promising cash flow optimization are: a) measures aimed at improving the cash turnover (including maintaining the stability of the national currency, improving the procedures for issuing and withdrawing money from circulation, determine the optimal structure of monetary aggregates, etc.) and b) development of cashless money turnover. The author's position is presented on the future of the scientific basis and practical realization of the optimal ratio of cash and cashless money turnover in Russia and other countries. In particular, felt the need to increase information transparency, openness international information exchange in order to improve monetary policy by countries at the national and international level. To develop common approaches (models) of the analysis and forecasting of financial markets, as well as the establishment of an international coordination centre responsible for the collection, verification and access to public information databases for the cross-country studies of banking and financial and monetary sphere.

A modeling approach to quantifying soil macroaggregate dynamics

2002 ◽  
Vol 82 (2) ◽  
pp. 181-190 ◽  
Author(s):  
A F Plante ◽  
Y. Feng ◽  
W B McGill
Keyword(s):  
Organic Matter ◽  
Aggregate Size ◽  
Soil Aggregate ◽  
Size Fractions ◽  
Significant Control ◽  
Modeling Approach ◽  
Growing Seasons ◽  
Organic Matter Dynamics ◽  
Aggregate Turnover ◽  
Aggregate Dynamics

While several researchers have suggested that soil aggregate turnover is a significant control on organic matter dynamics, the quantification of soil aggregate dynamics has yet to be achieved. Quantification of soil aggregate turnover is essential to testing any hypothesis concerning the relationship between aggregate turnover and organic matter dynamics. The goal of the current work was to propose a modeling approach to the quantification of soil macroaggregate dynamics. The approach taken was to define model compartments representing water-stable soil aggregate size fractions and describing the flows between compartments using first-order kinetics. Soil aggregate data from a 2-yr field study on two contrasting soils were used to calibrate the model and yielded soil aggregate mean residence times ranging from 4 to 95 d, where aggregate dynamics were generally two to three times more rapid in a Gray Luvisol compared to a Black Chernozem. The model was subsequently used to predict the distribution of applied tracer spheres in water-stable aggregate size fractions from an initially free state. The models closely predicted the Dy "mean weight diameters" (Dy-MWD) after two growing seasons. While the models have several limitations, they offer the first attempt to quantitatively describe soil macroaggregate dynamics, which is essential to predicting the response in organic matter dynamics to changes in aggregate dynamics. Key words: Soil aggregation, macroaggregate turnover, tracer, model

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