Secondary forest thinning method based on stand development index

Abstract

The invention relates to the technical field of secondary forest thinning, in particular to a secondary forest thinning method based on a stand development index. The composition of tree species, determine the flora and the succession stage, and divide the tree species in the plot according to the top tree species, associated tree species, pioneer tree species and exotic tree species; C. Build a multi-objective model based on the stand development index; D. Use improvement The genetic algorithm was used to solve the multi-objective model to obtain the optimal tending and thinning plan for the secondary forest. The invention uses the stand development index to construct a multi-objective model for tending and thinning of the secondary forest, uses the improved genetic algorithm to perform global optimization, quickly obtains the reasonable thinning intensity and the spatial position of the thinning tree, ensures the accuracy and rationality of the thinning plan, and improves the forest efficiency. quality, and promote the positive succession of secondary forests.

Description

technical field [0001] The invention relates to the technical field of secondary forest thinning, in particular to a secondary forest thinning method based on a stand development index. Background technique [0002] Secondary forest is the primary forest after high-intensity logging, fire and other man-made disturbance or serious natural disaster damage, most of the primary vegetation disappears, mainly relying on natural forces to form a large number of sprouted trees and some seed trees. In my country, the secondary forest area accounts for about half of the national forest area, and most of them are middle-aged and young-aged forests. In order to improve the stand quality, promote the positive succession of secondary forests, and restore the zonal top community, tending and thinning should be adopted for the stands with canopy density greater than 0.7. [0003] Tending thinning is to cut down some trees in a timely and appropriate amount, adjust the composition of tree s...

AI Technical Summary

Problems solved by technology

At present, the research on tending thinning has achieved fruitful results, but there are also obvious deficiencies: 1. The tending thinning of secondary forests is equated with the regulation of stand structure, without considering the tending goal of restoring zonal top communities, and there is a lack of tending thinning for secondary forests. Second, the thinning model uses non-global optimization algorithms for single-tree regulation, or low-efficiency optimization algorithms such as the exhaustive method, which lacks the effective support of intelligent optimization algorithms; Third, only pay attention to the accuracy of the thinning plan, ignoring the stand Determination of Optimal Thinning Intensity

[0006] 2. Thinning

This type of method has low calculation efficiency, and it usually takes 5000-10000 samples to obtain the optimal thinning scheme under a certain thinning intensity

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