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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 782393, 6 pages
Mathematical Models Arising in the Fractal Forest Gap via Local Fractional Calculus
1School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China
2Electronic and Information Technology Department, Jiangmen Polytechnic, Jiangmen 529090, China
3Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar 47415-416, Iran
4African Institute for Mathematical Sciences, Muizenberg 7945, South Africa
Received 8 January 2014; Accepted 10 February 2014; Published 18 March 2014
Academic Editor: Carlo Cattani
Copyright © 2014 Chun-Ying Long et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The forest new gap models via local fractional calculus are investigated. The JABOWA and FORSKA models are extended to deal with the growth of individual trees defined on Cantor sets. The local fractional growth equations with local fractional derivative and difference are discussed. Our results are first attempted to show the key roles for the nondifferentiable growth of individual trees.
Fractals had been used to describe special problems in biology and ecology [1–4] because of the measure of nature objects underlying the geometry, replacing the complex real-world objects by describing the Euclidean ideas. Fractal dimension was applied to describe the measure of the complexity in biology and ecology. In forestry, the fractal geometry had been applied to estimate stand density, predict forest succession, and describe the form of trees [5–7]. The scaling of dynamics in hierarchical structure was investigated in [8–12]. The ecological resilience example from boreal forest was presented in the context . The quantitative theory of forest structure was discussed . The allometric scaling laws in biology were proposed in the works [10, 11]. Based upon the cross-scale analysis, the geometry and dynamics of ecosystems were considered and the structure ecosystems across scales in time and space were discussed in [12, 13]. Fractal forestry was modeled by using the scaling of the testing parameters for ecological complexity.
Forest gap model (JABOWA) developed by Botkin et al. [14–16] was the first simulation model for gap-phase replacement. It was applied to describe a forest as a mosaic of closed canopies and simulate forest dynamics based upon the establishment, growth, and death of individual trees [17–20]. The JABOWA model in the form of the FORET model (called JABOWA-FORET) was further developed in [21–24]. The JABOWA model of the simulation of stand structure in a forest gap model was improved in  and the FORSKA  was proposed by Botkin et al. In [14–16], the ecological functions are continuous. In [10–13], the ecological functions were expressed across scales in time and space. However, as it is shown in Figure 1 the ecological functions distinguishing hierarchical size scales in nature, such as the measures of tree size and measure of soil fertility, are defined on Cantor sets. The above approaches do not deal with them.
Local fractional calculus theory [26–38] was applied to handle the nondifferentiable functions defined on Cantor sets. The heat-conduction, transport, Maxwell, diffusion, wave, Fokker-Planck, and the mechanical structure equations were usefully shown (see for more details [28–36] and the cited references therein). In order to simulate forest dynamics on the basis of the establishment, growth, and death of individual trees defined on Cantor sets, the aim of this paper is to present the forest new gap models for simulating the gap-phase replacement by employing the local fractional calculus.
The paper has been organized as follows. In Section 2, we review the JABOWA and FORSKA models for the forest succession. In Section 3, we propose JABOWA and FORSKA models for the fractal forest succession. Finally, Section 4 is conclusions.
2. Growth Models for Forest Gap
In this section we will revise the JABOWA and FORSKA models.
2.1. The JABOWA Model
The growth equation with difference form is given by [15, 16, 24, 39] where the function is diameter at breast height of the trees, the parameter is tree height, is a growth rate, the function is a quantity encapsulating this allometric relationship, is a quantity influencing the abiotic and biotic environment on tree growth, , and and are the maximum measures of the tree dimensions.
The parameter is simulated as follows : where is a quantity of available light, is a quantity of stand basal area, and is a quantity of the annual degree-day sum. It was referred to as Liebig’s law of the minimum .
Leaf area index reads as follows : where with a species-specific parameter and the scale leaf weight per tree to the projected leaf area .
In order to implement a new height-diameter relationship , the differential form of growth equation in the JABOWA model was suggested as follows : where the function has the following form: with the parameter and the initial slope value of the height diameter relationship .
2.2. The FORSKA Model
The FORSKA model was developed for unmanaged natural forests and tree height had relationship with the FORSKA model given by [24, 25, 39, 41] where the parameter is the initial slope value of the height diameter relationship at , is the maximum measure of the tree dimension, is diameter at breast height of the trees, and is tree height.
3. The JABOWA and FORSKA Models for the Fractal Forest Succession
In this section, based upon the local fractional calculus theory, we show the JABOWA and FORSKA models for the fractal forest succession. At first, we start with the local fractional derivative.
3.1. Local Fractional Derivative
We now give the local fractional calculus and the recent results.
For , the -local fractional differential of reads as [26, 27] From (14), we have approximate formula in the form Let . The local fractional integral of of order is given by [26–31] where , , and , , , , is a partition of the interval .
The -dimensional Hausdorff measure is calculated by 
3.2. The Local Fractional JABOWA Models (LFJABOWA)
Here, we structure the LFJABOWA models via local fractional derivative and difference.
Making use of the fractional complex transform  and (20), the growth equation in the JABOWA model with local fractional derivative (LFJABOWA) is suggested by where is the diameter at breast height, is the scaling coefficient, and and are the fractal dimensions. In order to illustrate the difference from the works presented in , we consider the following case: when , (21) can be integrated to give For the parameters , , the solutions of (21) with different values , , , and are, respectively, shown in Figures 2, 3, 4, and 5.
Using the fractional complex transform, (5) becomes into Comparing (22) and (23), we have where or From (25) and (26), we could get Hence, the local fractional JABOWA model (LFJABOWA) reads as follows: where is a nondifferentiable function and is the diameter at breast height.
When the fractal dimension is equal to 1, we get the generalized form of (1); namely, where
3.3. The Local Fractional FORSKA Models (LFFORSKA)
Here, we present the LFFORSKA models via local fractional derivative and difference.
The tree height is the nondifferentiable function; namely, where for , and .
Following the fractional complex transform , from (8) we have the local fractional growth equation in the following form: where is a local fractional continuous function, is the tree height, and is a parameter.
The expression (36) is the difference form of local fractional FORSKA model (LFFORSKA).
In this work we investigated the local fractional models for the fractal forest succession. Based on the local fractional operators, we suggested the differential and difference forms of the local fractional JABOWA and FORSKA models. The nondifferentiable growths of individual trees were discussed. It is a good start for solving the rhetorical models for the fractal forest succession in the mathematical analysis.
Conflict of Interests
The authors declare that they have no conflict of interests regarding the publication of this paper.
This work is supported by the Science and Technology Commission Planning Project of Jiangxi Province (no. 20122BBG70078).
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