Abstract
Background/Objectives: A study was conducted to observe the self-similarity pattern exhibited within the vegetational field due to their nutritional sharing channels. Methods/Statistical Analysis: A square grid matrix was chosen in the cultivated fields to draw the sample data of the biological as well as environmental variables. Grid matrix was further divided into one hundred and forty -four subareas of 1.2 by 1.2-meter square. Data were analyzed based on a Box-counting method to determine the fractal dimension in each class. Findings: Highest dimension was found to be 2.48 in class one which consists of 144 small grids. Whereas, the lowest dimension found to be 1.03 in class 4. The pattern of the fractal dimension of various classes seems to be self-similar within the vegetational field. Application/Improvements: Vegetational fields share several materials through the nutritional channels within the grid matrix. We observed the pattern in different scales using fractal dimension and found to be the self-similar pattern in all scales. Keywords: Box-Counting Method, Fractal Dimension, Self-Similar Pattern
Highlights
Fractal analysis is very worthwhile for the ecologist for describing the ecological processes
Detecting patterns through space or time considered a central goal of landscape ecology and to conclude those patterns through multiple scales[3,4]
Self-similarity is the characteristics of Fractal used to distinguish achieving the research goals[5]. These approaches are very fruitful to the field of landscape ecology and address explicitly to measures the symmetry at various scales
Summary
Fractal analysis is very worthwhile for the ecologist for describing the ecological processes. Detecting and describing the pattern in the distribution of vegetation can be instrumental in understanding the factors which influence how and where plants grow, and the role played by plants in shaping ecosystems. Detecting patterns through space or time considered a central goal of landscape ecology and to conclude those patterns through multiple scales[3,4]. Self-similarity is the characteristics of Fractal used to distinguish achieving the research goals[5]. These approaches are very fruitful to the field of landscape ecology and address explicitly to measures the symmetry at various scales. Dimension ‘D’), or this dimension ‘D’ can change at different scales of measurement
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