Simulation Models for Grassland Ecosystem and Inter-species Plant Competition: Interation in NetLogo

2013 ◽  
Keyword(s):  
Plant Competition ◽  
Simulation Models ◽  
Grassland Ecosystem

Some limitations inherent to static indices of plant competition

1993 ◽  
Vol 23 (10) ◽  
pp. 2141-2152 ◽  
Author(s):  
Philip J. Burton
Keyword(s):  
Plant Competition ◽  
Simulation Models ◽  
Stand Development ◽  
Crop Species ◽  
Vegetation Development ◽  
Competitive Intensity ◽  
Vegetation Control ◽  
Fundamental Limitations ◽  
Vegetation Complex ◽  
Intensity Of Competition

Various measurements of the abundance, proximity, and stature of neighbouring plants are utilized as indices of competitive intensity experienced by crop trees. These indices can be useful in assessing the desirability of vegetation control and stand thinnings, and in simulating stand development. Static competition indices, however, have fundamental limitations which should be more widely considered. Competition is usually a constraint to growth, not a determinant of growth, so any measurement of competition alone is fundamentally limited in its ability to predict individual crop tree performance. Differences in the microsite effects of competitors and the autecological responses of crop species result in wide variation in the size of the functional competitive arena, and suggest the need for distinct weightings of competitive intensity for different combinations of species and site. Site differences and weather variation, when coupled with species differences in above- and below-ground allocation, will alter the mode and intensity of competition within a stand and from year to year. The phenology of competitors and focal species will likewise alter interference patterns within a year, making one-time measurements sometimes misleading. Suggested alternatives for determining the importance and intensity of competition include the maintenance of competition-free seedlings ("phytometers") in order to gauge the competitive constraints experienced elsewhere in a plantation. Simulation models of tree growth and stand development also show promise, but they must incorporate the dynamics of noncrop vegetation development. In developing guidelines for the assessment of noncrop interference and the advisability of vegetation control, there is still a need to determine, in a generalizable manner, appropriate survey plot sizes and critical competition thresholds for different combinations of site type, crop species, and vegetation complex.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

Analysis and Simulation Methods of the Mechanisms for the Innovational Development

2019 ◽  
pp. 16-33
Author(s):  
Marta K. Isaeva
Keyword(s):  
Production Systems ◽  
Technological Development ◽  
Computer Experiment ◽  
Simulation Models ◽  
Construction Simulation ◽  
Technological Structure ◽  
Research Sector ◽  
Practical Trial ◽  
Construction Model ◽  
Computation Analysis

The paper dedicates in commemoration of K.A. Bagrinovsky, known scientist, doctor of economic sciences, professor. His thesis was theoretic problems of mathematical modeling and operation of economy. His works in the operations research, the methods making decision, the simulation were received in scientific world. The analysis and the modeling of the mechanisms for scientific and technological development for the production systems of different level in economic hierarchic both centrally controlled economy and making mechanism were conduced by Bagrinovsky in CEMI RAS. The paper presents the investigations (2001–2015) of the analysis and the simulation of the different mechanisms of the innovational activity. It also discusses the methods of the development the complex of the simulation models. In a sense simulation modeling is the science and the art as the selection of the salient parameters for the construction model, intake simplification, the computer experiment and the making decision based on scarcity of accuracy models rest on the heuristic power of men: the practical trial, the intelligence and the intuition. K.A. Bagrinovsky introduced the considerable endowment in the development of this direction for economic and mathematical investigation.The principal object was to show that the relationship between the innovational policy and the technological structure, scientific research sector and the introducing of the progressive production and the organizational structure is obtainable by the models. The character of these relationships may be to use in control of the parameters for the modernization economic. The construction simulation models and the experimental computation analysis were presented the investigations the different mechanisms of the innovational development ant the variants of the estimation have been accomplished on the modeling level by the computer experiment.

Simplification of Simulation Models for Air-Conditioning Controlling System

2017 ◽  
Vol 137 (8) ◽  
pp. 1001-1008
Author(s):  
Tadayoshi Kosaka ◽  
Kazuhiko Koyanagi ◽  
Yasutaka Satake ◽  
Isao Kobayashi ◽  
Nobuhiro Matsudaira ◽  
...  
Keyword(s):  
Air Conditioning ◽  
Simulation Models ◽  
Controlling System
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