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Bursaphelenchus xylophilus disease propagation knowledge mining method based on spatial heterogeneous characteristics

A technique for pine wood nematode and knowledge mining, applied in the fields of forest protection and spatial statistics

Pending Publication Date: 2022-04-22
国家林业和草原局生物灾害防控中心
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Problems solved by technology

[0005] The technical problem to be solved in the present invention is: how to overcome the problem of accurately studying the influence of human factors and natural factors on the transmission and spread of forest pine wood nematode disease, and provide a basis for the prediction work of pine wood nematode disease

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  • Bursaphelenchus xylophilus disease propagation knowledge mining method based on spatial heterogeneous characteristics
  • Bursaphelenchus xylophilus disease propagation knowledge mining method based on spatial heterogeneous characteristics
  • Bursaphelenchus xylophilus disease propagation knowledge mining method based on spatial heterogeneous characteristics

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Embodiment Construction

[0022] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.

[0023] At present, pine xylophilus is native to North America, and then spread to China through timber trading and other means. It parasitizes in longhorn beetles and has a strong reproductive capacity. Secondly, serious pine wood nematode disease has appeared in many cities in China, and it has a tendency to spread in the three northeastern provinces, seriously impacting the development of domestic forestry and forest products. Finally, the relevant disciplines of geographic detectors, statistics and machine learning provide a sufficient theoretical basis for the analysis of the spread of forest pine wood nematode disease. In view of this, the present invention utilizes forest pine w...

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Abstract

The invention relates to the field of forest pest and disease damage and space statistics, and discloses a pine wood nematode disease propagation knowledge mining method based on space heterogeneous characteristics. According to the method, on the basis of forest pine wood nematode disease subcompartment environment factors and social economic factors, pine wood nematode disease propagation and diffusion laws are studied, all influence factors are analyzed according to a geographic detector, and the geographic detector can be used for measuring spatial diversity, detecting interpretation factors and analyzing the interaction relation between variables; therefore, the space diversity is explored, and the back driving force is revealed.

Description

1. Technical field [0001] The invention relates to the fields of forest protection and spatial statistics, in particular to a method for mining knowledge of pine wood nematode disease transmission based on spatial heterogeneity features. 2. Background technology [0002] Pine wood nematode is a destructive pest of pine trees worldwide, which has caused irreversible damage to the global forest ecosystem and environment. Since it entered my country in the 1980s, the resources and quality of pine forests in my country have been reduced, the landscape pattern has been destroyed, and the ecological function has been seriously unbalanced. It has become one of the most dangerous quarantine forest pests in my country. As of 2019, a total of 18 provinces, autonomous regions, and municipalities directly under the central government, involving 666 districts and counties, have been designated as pine wood nematode epidemic areas, which is 340 more than the 248 districts and counties in ...

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06N5/02G06Q50/02
CPCG06F16/334G06F16/35G06Q50/02G06N5/02
Inventor 方国飞黄季夏刘燕青孙红李晓冬陈怡帆王越周艳涛
Owner 国家林业和草原局生物灾害防控中心