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Remote sensing prediction method for occurrence period and occurrence amount of populus euphratica spring cankerworms

A prediction method, the technology of spring inchworm, applied in the field of remote sensing analysis of forestry pest data, can solve the problem of not being able to accurately find the effective control period of Populus euphratica spring inchworm

Inactive Publication Date: 2018-11-06
贾翔
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a remote sensing prediction method for the occurrence period and amount of Populus euphratica, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem that the prior art has not carried out the method for the occurrence of Populus euphratica during each occurrence period. The method of prediction cannot accurately find the effective control period of Populus euphratica, so as to prevent the occurrence of inchworm pests

Method used

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  • Remote sensing prediction method for occurrence period and occurrence amount of populus euphratica spring cankerworms
  • Remote sensing prediction method for occurrence period and occurrence amount of populus euphratica spring cankerworms
  • Remote sensing prediction method for occurrence period and occurrence amount of populus euphratica spring cankerworms

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Embodiment 2

[0128] Embodiment 2: as attached Figures 2 to 9 As shown, the remote sensing prediction method of each occurrence period and occurrence amount of Populus euphratica includes the following steps:

[0129] As shown in Table 1 and Table 2, the development duration and daily average temperature of each worm state in Table 1 are sorted out and calculated as the required data in the formula (6) in the above-mentioned embodiment 1, and it is Table 2 after sorting out data format in . Among them, N is the development period of each worm state, T is the daily average temperature during the period, and V is the development rate of the worm state. Then use the formulas (6) and (7) in the above-mentioned embodiment 1 to calculate the values ​​of the developmental starting point temperature C and the effective accumulated temperature K of the stages such as eclosion, reproduction, hatching, and larvae, respectively.

[0130] Put the data in Table 3 into formula (6) and formula (7), resp...

Embodiment 3

[0174] Embodiment 3: the occurrence amount prediction process of Populus euphratica during the occurrence period is as follows:

[0175] As shown in Table 9, according to the survey data and collected data statistics, the active period of spring inchworm larvae is from February to May each year, and the sign of the beginning of spring inchworm activity period is the emergence of overwintering pupae, and the spring inchworm 5th instar After maturity, it enters the soil to do pupation and enters the dormancy period, which represents the end of the spring inchworm activity period. From the prediction results of each stage of spring inchworm, the prediction results of spring inchworm activity period can be obtained (Table 9).

[0176] According to the statistics of the activity period, it is predicted that the activity period of the spring inchworm will reach the eclosion standard on January 29, 2007 at the earliest. The feathering begins to occur. At the same time, it can be se...

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Abstract

The invention relates to the technical field of forestry pest and disease damage data remote sensing analysis, in particular to a remote sensing prediction method for an occurrence period and an occurrence amount of populus euphratica spring cankerworms. The method comprises the following steps of 1, building a spring cankerworm occurrence period prediction model based on an effective accumulatedtemperature rule; 2, calculating pest state remote sensing models based on the effective accumulation temperature rule, and predicting temperatures of pest states; 3, predicting the occurrence degreeof the populus euphratica spring cankerworms; and 4, checking a prediction result. According to the method disclosed by the invention, the populus euphratica cankerworms are used as research objects;and according to a life history rule of populus euphratica defoliators, and in combination with field sampling and field survey, calculation and analysis are performed to prove that the leaf consumption of spring cankerworm larvae during the occurrence of the two-instar larvae is not greatly increased yet, egg hatching enters beginning and ending periods, and the four-instar defoliators of the spring cankerworms basically does not occur, so that the optimal prevention control time is the occurrence period of the two-instar larvae, and the pest damage occurrence rate can be effectively reducedby performing prevention control in the period.

Description

technical field [0001] The invention relates to the technical field of remote sensing analysis of forestry disease and insect pest data, and relates to a remote sensing prediction method for the occurrence period and amount of Populus euphratica. Background technique [0002] Populus euphratica is a desert riparian forest that grows in humid conditions such as river banks and lakes. Its unique physiological structure enables it to survive in the harsh environment of saline-alkali, sandstorm and drought. It is a near-top natural arbor community in arid desert areas. It is an important part of the desert ecosystem and plays an important ecological function in maintaining the ecological balance of the desert area, preventing wind and sand fixation, regulating the climate, and improving the ecological environment. However, in recent years, due to artificial excessive water diversion and climate change, the living environment of Populus euphratica has deteriorated, its growth has...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F17/18
CPCG06F17/18G06Q10/04G06Q50/02
Inventor 贾翔陈孟禹黄铁成来风兵陈蜀江侯博展
Owner 贾翔
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