Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bursaphelenchus xylophilus invasion risk prediction method based on ecological niche factor model

A factor model, pine wood nematode technology, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve the problems of high cost, poor accuracy, pine infection, etc., to achieve the effect of reducing treatment costs, improving efficiency, and avoiding waste

Pending Publication Date: 2020-06-09
YANGTZE UNIVERSITY
View PDF1 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To sum up, the problems existing in the existing technology are: the mainstream method of monitoring pine wood nematode disease at this stage is to manually conduct sampling surveys on pine trees to analyze whether the pine trees are infected with the disease. These monitoring methods are inefficient, time-consuming, and poor in accuracy. And it often has hysteresis. When pine xylophilus is found, it has often caused a large number of pine trees to be infected and died, and the problem of pine forest diseases and insect pests cannot be effectively screened in time.
[0006] Difficulty in solving the above technical problems: the current quarantine and monitoring technology for pine wood nematode disease is lagging behind, and the efficiency is low and the cost is high. It cannot reflect the status of diseases and insect pests in time, and it is easy to cause large-scale infection of pine wood nematode.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bursaphelenchus xylophilus invasion risk prediction method based on ecological niche factor model
  • Bursaphelenchus xylophilus invasion risk prediction method based on ecological niche factor model
  • Bursaphelenchus xylophilus invasion risk prediction method based on ecological niche factor model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] Taking Hubei Province as an example, the method for predicting the risk of pine wood nematode invasion based on the niche factor model provided by the embodiment of the present invention is as follows:

[0051] Step 1, data collection of pine wood nematode disease, a total of 66 pieces of distribution point data of pine wood nematode disease in Hubei Province, environmental data include:

[0052] ① Climatic factor data: average temperature, annual average precipitation, annual average total sunshine hours, annual average relative humidity, annual average water vapor pressure, and average air pressure. It mainly includes the data of 34 meteorological stations in Hubei Province.

[0053] ② Terrain environment data: including altitude, slope, aspect, and river.

[0054] ③Data of human activity interference factors: including urban residential areas, main roads, railways, farmland, and population distribution density.

[0055] ④Vegetation coverage data: mainly include con...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of bursaphelenchus xylophilus invasion risk prediction, and discloses a bursaphelenchus xylophilus invasion risk prediction method based on an ecological niche factor model, and the method comprises the steps: obtaining distribution point data and environment data of an epidemic area of bursaphelenchus xylophilus; performing Kriging interpolation processing on the climate data, calculating the gradient and the slope direction in the topographic data, and obtaining vegetation types and human activity interference data; importing the distribution point data and various environmental data into an ecological niche factor model, and calculating pine wood nematode disease risk early warning; and evaluating the pine wood nematode disease invasion riskbased on the feature matrix and the risk map obtained by calculation. According to the invention, main environmental influence factors influencing pine wood nematode propagation are used; the method is suitable for local conditions, lays a foundation for early warning, monitoring and control work of pine wood nematode diseases and insect pests, provides a scientific basis for measures of forest biodiversity protection and ecological environment protection, and provides a basis and a reference for early warning and control work of forest diseases and insect pests.

Description

technical field [0001] The invention belongs to the technical field of risk prediction of pine wood nematode invasion, and in particular relates to a method for predicting the risk of pine wood nematode invasion based on a niche factor model. Background technique [0002] At present, the pine wood nematode (Bursaphelenchus xylophilus) is a highly harmful alien pest originating in the United States. It is also a forestry quarantine pest in my country. It is mainly transmitted in pine trees by vector insects such as Monochamus alternatus, causing a very destructive pine tree disease - pine xylophilus disease, which can affect 36 species of pine species and 8 species of non-pine trees. Tree species are harmful. Since the black pine infected by pine wood nematode was first discovered, pine wood nematode disease has caused direct and indirect losses of hundreds of billions of dollars to China. The spread of pine wood nematode spreads quickly. Once the pine trees are infected, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02G06Q50/26G06F30/20
CPCG06Q10/04G06Q10/0635G06Q50/02G06Q50/26
Inventor 李功权沈鹏袁杰祺
Owner YANGTZE UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products