Type prediction method of vegetation in high-altitude permafrost region

A prediction method and technology in permafrost regions, applied in the field of geography, can solve problems such as inability to distinguish unique vegetation

Pending Publication Date: 2017-11-07
GUIZHOU INST OF PRATACULTURE
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Problems solved by technology

[0007] Embodiments of the present invention provide a method for predicting vegetation types in high-altitude permafrost reg

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] figure 1 It is a flowchart of a method for predicting vegetation types in high-altitude permafrost regions provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0022] S101. Obtain the survey data of vegetation characteristics in the permafrost region of the Qinghai-Tibet Plateau; wherein, the survey data of vegetation characteristics includes 490 sampling points for the investigation of vegetation chara...

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Abstract

The invention discloses a type prediction method of vegetation in a high-altitude permafrost region, and relates to the field of geography. The method comprises the steps that the survey data of characteristics of the vegetation in the permafrost region of Qinghai-Tibet Plateau is obtained; bio-climatic parameters are obtained; according to an NDVI data set, NDVI parameters are obtained; according to a digital elevation model (DEM), the slope, the slope direction and the profile curvature at each grid pixel element point in the permafrost region of Qinghai-Tibet Plateau are obtained; the elevations, the slopes, the slope directions and the profile curvatures are used as topography parameters; the parameters with the correlation coefficients larger than 0.8 are selected in the bio-climatic parameters, the NDVI parameters and the topography parameters through a principal component analysis method, and vegetation classification parameters are obtained; according to the survey data of the characteristics of the vegetation, the vegetation classification parameters, climate scenarios data and a climatic system mode, the types of the vegetation in the permafrost region of Qinghai-Tibet Plateau are obtained through a decision tree classification method. By means of the method, the type distribution prediction, in the mode of ten types of ten categories of climatic systems and four types of climate scenarios in 2050 and 2070, of the vegetation in the permafrost region of Qinghai-Tibet Plateau can be achieved.

Description

technical field [0001] The invention relates to the field of geography, in particular to a method for predicting vegetation types in high-altitude permafrost regions. Background technique [0002] The Qinghai-Tibet Plateau is a multi-stage complex that has experienced long-term complex geological processes. It has the largest high-altitude area in the world and is recognized as the "third pole of the world". Library". As the global temperature has increased year by year in the past century, the permafrost widely distributed on the Qinghai-Tibet Plateau has also experienced serious degradation, and according to existing research, this trend will continue in the 21st century. The degradation of permafrost will lead to an increase in the thickness of the active layer above it, thereby changing the water and thermal environment in the soil, which has an important impact on the growth and distribution of vegetation in the permafrost region of the Qinghai-Tibet Plateau. When the...

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Application Information

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IPC IPC(8): G06F19/00G06K9/62
CPCG16Z99/00G06F18/24323Y02A90/10
Inventor 王志伟莫本田丁磊磊吴晓东赵林王茜岳广阳史建宗阮玺睿班骞马培杰陈伟
Owner GUIZHOU INST OF PRATACULTURE
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