A Measurement Method of Stand Structure Diversity Based on Neighboring Tree Relationship

Abstract

The invention discloses a method for measuring the diversity of forest structure based on the relationship between adjacent trees, which comprises the following steps: 1. Based on the spatial structure parameters of forest based on the relationship of adjacent trees, combining the tree species in the structural unit to carry out multi-parameter combination, and establishing the classification of the type of the spatial structure unit of forest; 2. 2, establishing a diversity model of forest space structure unit; 3, establishing a forest structure diversity model; 4, verifying that measured stand; 5, simulating that verification of the management forest. The invention has the advantages that: 1, the newly constructed diversity index of forest structure can simultaneously integrate the diversity of tree species, the position of forest trees and the size differentiation of forest trees into one index. 2. The index can be used to guide the stand structure adjustment, and it has very important application value to cultivate and manage the target trees. 3, data is conveniently acquired.

Description

technical field [0001] The invention relates to the technical field of stand structure in forestry science, in particular to a method for measuring the diversity of stand structure based on the relationship between adjacent trees. Background technique [0002] Since the early 1990s, the relationship between biodiversity and ecosystem function (BEF) has attracted the attention of the scientific community (Make Ping, 2013), and maintaining and improving biodiversity has become one of the research hotspots at home and abroad. The forest ecosystem plays a decisive and irreplaceable role in maintaining ecological security and maintaining the basic conditions for human survival and development. Protecting and maintaining forest diversity has become an important goal of sustainable forest management. Ecosystem diversity can be divided into α-diversity, β-diversity, γ-diversity and δ-diversity according to the research scale (MacArthur, 1965; Whittaker, 1972). For forest ecosystems...

AI Technical Summary

Problems solved by technology

[0020] There are mainly the following problems in constructing forest stand structure diversity expression methods using biodiversity evaluation models or index variation models. First, there is randomness in the selection of forest stand structure attributes, and different researchers have different cognitions on structure. The selected indicators are very different; the second is that this type of model needs to group structural variables to calculate the corresponding proportion, that is, it needs to discretize continuous variables, such as dividing them into high-order trees and radial orders, and the method and standard of grouping lack uniformity. The basis is highly subjective and lacks ecological significance; third, it is difficult for such indicators to take into account the spatial structure of forest trees, and cannot reflect the differences in structural diversity caused by spatial changes

Fourth, it is difficult to connect with specific business activities

[0024] The main disadvantages of the method based on the accumulation or weighting of structural attributes are: first, the selection of structural attributes of forest stands is arbitrary, and different researchers have different cognitions on the structure, so the selected indicators vary greatly; second, the weighting of indicators The subjective randomness of the time is very large, and there is no uniform standard

The third is that the accumulation of indicators is irrational, and the addition of different indicators lacks a theoretical basis

[0032] In ecology, the marked point pattern or the marked second-order characteristic function can describe the characteristics of the position and attribute of the forest with the change of scale, but the calculation requires accurate coordinate information of the forest, the calculation process is quite complicated, and special software or codes are required. and it is difficult to apply such methods to guide forest management activities

The SCI index can express the diversity of tree positions and individual attributes, but it also requires precise coordinate positions. At the same time, this index only involves the index of tree height and cannot be combined with other indicators, especially the information about tree species cannot be expressed

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