Forest community point sampling investigation method

A technology of forest communities and sampling points, applied in the field of statistical investigation, can solve problems such as not easy random sampling, small amount of samples and information, difficult to grasp and understand, and achieve easy practical operation, large sample size and information, and easy to grasp Effect

Inactive Publication Date: 2008-08-20
INST OF FORESTRY CHINESE ACAD OF FORESTRY
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Problems solved by technology

[0004] There are at least the following disadvantages in the above-mentioned prior art: the individual of a species is used as the sampling unit, because the sampling unit is only the individual in the community section, rather than the community as a whole with a certain type composition and a certain structure, the accuracy is relatively poor; As a sampling unit, the workload is heavy, the amount of samples and information is small, it is difficult to grasp and understand in the wild, and it is not easy to achieve random sampling

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  • Forest community point sampling investigation method
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  • Forest community point sampling investigation method

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[0021] Starting from a random point in the forest stand, set up a sampling point at a certain distance (based on the principle that the nearest 4 adjacent trees of the survey reference tree are not repeated) by means of mechanical distribution, and take a serpentine route in the forest stand , using the laser angle detector as an auxiliary tool to investigate the spatial structure parameters of the four trees with a diameter at breast height greater than or equal to 5cm closest to the sampling point, including angular scale, size ratio, degree of mixing and their attributes (tree species name, diameter at breast height, etc.), At the same time, the stratification and tree species number of the structural unit composed of the reference tree and its four adjacent trees were investigated. At the same time, the basal area of ​​the stand was measured by using a 5-point angle gauge. The number of sampling points for the survey of natural forest communities is 49. The characteristics...

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Abstract

The invention discloses a forestry community point sample investigation method, which is, firstly, to select many sampling points in the investigated forestry community; secondly, to take 3-5 trees recent to each sampling point to be the reference trees, to take 4 trees recent to each reference tree to be the neighboring tree, and to carry on the investigation to the structural parameter of a structural unit formed by each reference tree and the periphery neighboring tree, wherein, the structural parameter includes the angle of the reference tree, the size ratio, the mingling degree, the species name of the tree, the DBH size, and the layered property and the tree species number of the structural unit and so on; finally, to use the additional angle to measure point, to carry on the angle gage to measure the stand basal area. The invention is characterized in that the investigation unit has nothing to do with the sampling ground size, the position coordinates of each tree are also does not need to be surveyed, the accuracy is high, the sample size and the information content is big, and the method is simple, easy to grasp and actually operate.

Description

technical field [0001] The invention relates to a statistical survey method, in particular to a sampling survey method of forest community points. Background technique [0002] In the investigation of forest community characteristics, like other research work, in most cases, due to the limitation of time, funds, personnel and other reasons, it is impossible to count all the vegetation in the forest community one by one, and only a part can be extracted. Conduct studies, so-called sample surveys. The purpose of sampling survey is to infer the overall vegetation through the study of samples (quadrats, sample points). Therefore, the sample must be representative, and it is necessary to obtain very accurate characteristics of the population through sampling as little as possible. If the sampling is not proper, not only will the population not be known, but it will distort the population and draw wrong conclusions. [0003] In the prior art, there are two main approaches in the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G01B21/00
Inventor 惠刚盈
Owner INST OF FORESTRY CHINESE ACAD OF FORESTRY
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