A Method for Building an Optimal Model of Forest Stand Spatial Structure Based on Particle Swarm Optimization
A technology of particle swarm algorithm and establishment method, which is applied in the field of establishment of forest stand spatial structure optimization model based on particle swarm algorithm, can solve problems such as complex solution process, lack of optimal forest management examples, difficulty in finding near-natural model forests, etc.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2015-10-07
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention belongs to the field of stand space structure optimization and relates to a method for establishing a stand space structure optimization model based on a particle swarm algorithm. Background technique
[0002] Water conservation forest is one of the special significance of water and soil protection forest species, its leading function is to conserve water, purify water quality, prevent soil erosion and lake silting and regulate climate. According to system theory and structured forest management theory, the health and stability of water conservation forests depend on the forest structure, and a reasonable forest structure can better play various functions of the forest. The stability of mixed and different-aged forests on the same site is higher than that of pure forests and same-aged forests. The structure of multi-layered, different-aged and mixed forests is an ideal structure on the stand scale of water conservation forests, and at the...
Examples
Embodiment 1
[0048] A forest stand was selected from Hefu National Forest Park in Changde, Hunan Province, with an area of 20m×20m, and the total station and other measuring equipment were used to measure the tree species belonging to the climax group and the transitional community tree species with a DBH greater than 5cm in the forest stand There are 101 trees in total, which belong to 6 tree species. The normalized spatial coordinate map of each tree is as follows figure 1 As shown, each tree is numbered, and the measured parameters are as follows:
[0049]
[0050] Randomly select 10% of the total number of trees whose DBH is greater than 5 centimeters in the tree species belonging to the climax group and the distance from the sideline greater than 5 meters in the transitional community tree species. In this example, 10 trees are used as the initial particle group. Take each tree as a particle, and the spatial coordinates of the tree in the forest stand as the position of the parti...