Method of determining forest horizontal distribution pattern

Abstract

The invention discloses a method for judging the horizontal distribution pattern of trees, firstly, a plurality of reference trees are selected in the tree distribution zone, then the range of included angles between each reference tree and a plurality of nearest neighboring trees is estimated for analyzing the distribution evenness of the plurality of neighboring trees surrounding each reference tree to the reference tree; therefore, the horizontal distribution pattern of the whole trees can be analyzed based on the estimation and analysis. The judgment method of the tree horizontal distribution pattern is simple, easy and convenient in operation, and can analyze and judge the tree horizontal distribution pattern accurately and objectively without the accurate distance measuring, especially the analytical judge of horizontal distribution pattern of large areas of woodlands.

Description

technical field [0001] The invention relates to a method for judging the horizontal distribution pattern of trees. Background technique [0002] The horizontal distribution pattern of trees refers to the configuration or distribution of individual trees in horizontal space. The distribution pattern is not only one of the basic quantitative characteristics of the population, but also one of the basic characteristics of the spatial structure of the population. [0003] The arbor populations in the forest community are the basic components of the community and the ecosystem. With their unique ecological and morphological attributes and environmental factors, they interact with each other and become the basic structural and functional units in the forest ecosystem and the link connecting the community and the individual. . [0004] The distribution pattern of forest trees is the result of the comprehensive effects of population biological characteristics, intra-specific and in...

AI Technical Summary

Problems solved by technology

The advantage of the distance method is that it eliminates the influence of the size of the sample plot on the detection results, but the disadvantage is that it increases the dependence on the stand density, and requires time-consuming and labor-intensive accurate positioning and ranging during field surveys, which increases the difficulty and cost of the survey.

In addition, data processing requires the application of complex mathematical models for data calculation, and it is impossible to immediately apply the analysis results of the horizontal distribution pattern of trees in large-scale forests to guide forest management

[0012] In general, the results of the traditional analysis of the horizontal distribution pattern of trees are usually a numerical value or a graph, which are mostly used to qualitatively explain the state and type of the spatial pattern. There is no distribution of a single value with a clear meaning. The operability is not strong, and it is impossible to directly and instantly use the analysis results of the distribution pattern to adjust the pattern, or to guide the adjustment of the spatial structure of forest stands through pattern investigation

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