Model system and prediction method for forest growth

A technology of model system and prediction method, which is applied in the field of model system and prediction of forest growth, can solve the problems of complex fragmentation of forest facies, inability to provide accurate age of sample trees, etc., and achieve the effect of simple and complete forest facies and accurate prediction

Inactive Publication Date: 2009-06-03
BEIJING FORESTRY UNIVERSITY
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] It is impossible to provide the exact age of the sample wood (or even the plot); and the forest is complex and fragmented

Method used

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  • Model system and prediction method for forest growth
  • Model system and prediction method for forest growth
  • Model system and prediction method for forest growth

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Experimental program
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Embodiment Construction

[0021] The model system of forest growth of the present invention, its preferred embodiment is to include one or more models in models such as age-implicit single tree model, age retention rate model, and boundary model, wherein:

[0022] The age-implied single-wood model consists of the formula:

[0023] y ^ k = y ( y 0 , k ) = a · exp ( - b k - b ln ( y 0 ) - ln ...

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Abstract

The invention discloses a model system and a prediction method for forest growth. The system comprises an age implicit single tree model Yk equal to y(y0, k) equal to a. exp(minus b divided by (k minus (b divided by ln(y0) minus ln(a)))), an age retention rate model P<1> equal to p(D, 1) equal to Alpha. exp(Beta. ln(D)), an ingrowth model Nyr equal to N(A) equal to A<2> divided by (C0A<3> plus C1A<2> plus C2A plus C3), and the like. Forest resources are predicted through the models, forest aspect is simple and complete, and the prediction is accurate. The invention is suitable for various forest types, tree species and stumpage types.

Description

technical field [0001] The invention relates to a forest model construction technology, in particular to a forest growth model system and prediction method. Background technique [0002] The investigation of forest resources can make a relatively accurate estimate of the existing forest resources, and provide guidance for the management and utilization of forest resources. Generally, the current data of forest resources are estimated by establishing a model. [0003] In the prior art, there are various types of growth models and complex modeling. One model is the Continuous Forest Inventory System (CFI), in which fixed sample plots are arranged for the province as a whole, and regular review is carried out. For provinces in non-review years, a set of estimated values ​​for the current state of forest resources is often required. Since the review years of each province are different, when the country wants to give the statistical value of the national forest resource status...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00G06Q10/04G06Q50/02
Inventor 余新晓焦一之王雄宾陈丽华牛健植张振明朱建刚刘淑燕
Owner BEIJING FORESTRY UNIVERSITY
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