Monochamus alternatus hope natural enemy analysis method, terminal and storage medium

Abstract

The invention provides a monochamus alternatus hope natural enemy analysis method, a terminal and a storage medium, and relates to the technical field of biometric analysis, and the method comprises the following steps: presetting N test points, and enabling adult monochamus alternatus hopes to lay eggs at the test points; marking the monochamus alternatus hope in the egg period to obtain a first generation of monochamus alternatus hope cluster; monitoring the first generation of monochamus alternatus hope cluster to obtain a first feature data set; determining a population control factor set of each insect period through the first feature data set, and feeding natural enemies of corresponding types; selecting n test points, and marking monochamus alternatus hope at any insect period to obtain a second-generation monochamus alternatus hope cluster; obtaining the insect period and a population control factor set; the same kind of natural enemies of all ages are put into the n test points respectively; monitoring a second-generation monochamus alternatus hope cluster to obtain a second feature data set; and through the second feature data set, determining the influence weight of the released natural enemy species on the monochamus alternatus hope at each age. And the influence degree of the natural enemy age on each insect period of the monochamus alternatus hope is quantified so as to improve the control effect when the natural enemy is put.

Description

Technical Field

[0001] The present invention relates to the technical field of biostatistical analysis, and in particular to a method, a terminal and a storage medium for analyzing natural enemies of Monochamus alternatus. Background Art

[0002] In the process of controlling pine beetles, releasing natural enemies as a biological control method has been widely adopted and proven to be effective. However, most of the natural enemies released in the existing technology are adults, and this approach has some limitations:

[0003] First, natural enemies in the adult stage may not necessarily achieve the best control effect. The characteristics of adult natural enemies, such as predation ability, activity range, and reproduction rate, may not be fully adapted to the biological characteristics and occurrence patterns of pine beetles. Therefore, in some cases, releasing adult natural enemies may not effectively control the population of pine beetles, and may even lead to a waste of natural enemy resources;

[0004] Secondly, compared with natural enemies in the adult stage, natural enemies in certain other stages may have better control effects on pine brown beetles; for example, natural enemies in the larval stage may have higher predation efficiency and stronger adaptability, and can better cope with the damage caused by pine brown beetles. Summary of the invention

[0005] The purpose of the present invention is to provide a method, terminal and storage medium for analyzing the natural enemies of pine beetle. The technical problem to be solved is how to determine the influence of the age of natural enemies on the various insect stages of pine beetle, so as to improve the control effect when releasing natural enemies.

[0006] The present invention is achieved through the following technical solutions:

[0007] The first aspect provides a method for analyzing natural enemies of Monochamus alternatus, comprising the following steps:

[0008] S100, presetting N test points, setting traps at each of the N test points, trapping adult pine beetles with the traps, and allowing the adult pine beetles to lay eggs at the test points;

[0009] S200, within a time period T1, marking and numbering the above-mentioned Monochamus alternatus in the egg stage at each of the above-mentioned test points to obtain a first-generation Monochamus alternatus colony;

[0010] Monitor the vital signs and death factors of each pine beetle in the first generation of the pine beetle colony at each insect stage to obtain a first feature data set; the first feature data in the first feature data set consists of the vital signs and death factors of a pine beetle at any insect stage, wherein the death factor is the type of natural enemy that causes the death of the pine beetle;

[0011] S300, determining a population control factor set for each insect stage of Monochamus alternatus through the N first characteristic data sets, wherein the population control factors in the population control factor set are natural enemy species that control the development trend of the population; and raising natural enemies of corresponding species based on the population control factor set;

[0012] S400, selecting n of the above test points, and marking and numbering the above Monochamus alternatus of any insect stage at each of the selected test points within a time period T2, to obtain a second-generation Monochamus alternatus colony;

[0013] S500, obtaining the insect stage when the Monochamus alternatus is marked in the time period T2 and the population control factor set of the insect stage, extracting morphological data from the population control factor set, and obtaining a morphological reference data set;

[0014] Acquire the morphological data of the above-mentioned natural enemies raised to obtain an actual morphological data set; determine the type and age of the natural enemies through the above-mentioned morphological reference data set and the actual morphological data set; and release the same type of natural enemies of different ages to the n above-mentioned test points respectively;

[0015] S600, monitoring the vital signs and mortality factors of Monochamus alternatus in the second-generation pine beetle colony to obtain a second feature data set; the second feature data in the second feature data set consists of the vital signs and mortality factors of a Monochamus alternatus during the insect stage when the Monochamus alternatus was marked in time period T2;

[0016] S700. Determine the influence weight of the released natural enemy species on Monochamus alternatus at each age through n of the above second characteristic data sets.

[0017] By setting up traps at preset test points and trapping adult pine beetles, the life history of the pine beetles they laid (vital signs and mortality factors during the egg, larval, pupal and adult stages) was observed and recorded, and numbers were marked when they were in the egg stage to facilitate tracking of the life history of each pine beetle; by analyzing the life history of each pine beetle, the population control factor set for each stage of the pine beetle was determined, that is, the natural enemy species that can significantly affect the population development trend of the pine beetle; then, according to the population control factors, the corresponding natural enemy species were raised to prepare for the subsequent release The experiment was well prepared; during the release experiment, only one insect stage was targeted each time, and the pine brown beetles in that insect stage during the release period were marked to facilitate tracking of the life course of each marked pine brown beetle in that insect stage; natural enemies of different ages were released to each test point to observe the effects of natural enemies of different ages on the pine brown beetles, and the influence weights of the released natural enemy species on the pine brown beetles at each age were obtained. According to the analysis results of the influence weights, the types, ages and quantities of natural enemies released can be adjusted to improve the prevention and control effect and reduce costs; quantitative analysis provides a scientific basis for optimizing the natural enemy release strategy.

[0018] Furthermore, the population control factor set of each insect stage of Monochamus alternatus is determined by using the first characteristic data set, and the specific steps include:

[0019] S310, obtaining the number of egg-stage pine beetles from the first-generation pine beetle colony to obtain a first-generation experimental quantity;

[0020] Obtain the vital signs corresponding to the egg stage, larval stage, pupal stage and adult stage of the Monochamus alternatus from the first characteristic data set, and determine whether the Monochamus alternatus is dead or not through the vital signs; if the Monochamus alternatus is dead, obtain the death factor, and add 1 to the death amount corresponding to the death factor of the insect stage;

[0021] The number of deaths corresponding to the death factors of the above-mentioned Monochamus alternatus in the egg stage, larval stage, pupal stage and adult stage was counted;

[0022] S320, calculating the mortality rate corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage by using the above-mentioned one-generation experimental amount and the mortality amount corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage;

[0023] S330, obtaining the mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage of the N test points, and calculating the average mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage;

[0024] S340, using the following formula to calculate the control index of each mortality factor in the egg stage, larval stage, pupal stage and adult stage;

[0025] a∈{egg stage, larvae stage, pupa stage, adult stage},

[0026] Among them, P i a It represents the control index of the i-th mortality factor when the insect stage is a; It represents the average mortality rate of the ith death factor when the insect stage is a;

[0027] S350, calling the control threshold, and comparing the control index with the control threshold;

[0028] If the above control index is equal to or greater than the control threshold, the mortality factor corresponding to the control index is classified as the population control factor of insect stage a;

[0029] If the above control index is less than the control threshold, the mortality factor corresponding to the control index will be classified as a non-population control factor of insect stage a.

[0030] For each insect stage, the number of deaths corresponding to each death factor at each test point was counted separately, and the mortality rate of each death factor in each insect stage was calculated based on the first-generation experimental amount and the number of deaths corresponding to each death factor in each insect stage; the mortality rate corresponding to each death factor in each insect stage of N test points was summarized, and the average mortality rate of each death factor in each insect stage was calculated, which helped to eliminate the data bias of a single test point and improve the accuracy of the analysis; the control index of each death factor in each insect stage was calculated using a formula, and the average mortality rate was converted into a relatively quantitative indicator, which was convenient for comparing the population control ability of different death factors on each insect stage of pine brown alternator; through the set control threshold, the death factors were classified to obtain population control factors and non-population control factors, and the population control factors had a stronger population control ability on the specified insect stage of pine brown alternator; based on the identification of population control factors, it can be determined which natural enemy species have the best control effect on the specified insect stage of pine brown alternator, providing a scientific basis for the subsequent breeding and release of natural enemies.

[0031] Furthermore, before releasing the same type of natural enemies of each age to the n test points mentioned above, it is also necessary to sort the above population control factor sets for each insect stage according to the size of the control index to obtain a population control factor sequence; through the above population control factor sequence, determine the order of releasing the natural enemy species for the corresponding insect stage.

[0032] From an experimental perspective, the breeding and release of natural enemies requires a certain amount of resources and costs. By determining the order of release of natural enemy species, we can ensure that the natural enemies with the most significant population control effect on pine brown alternating beetles are released first to avoid the problem of insufficient funds leading to the inability to carry out subsequent release experiments. From a practical application perspective, the population control factor sequence obtained through sorting can clearly show which natural enemy species have stronger control over the various insect stages of pine brown alternating beetles, which will help to formulate more accurate natural enemy release strategies, give priority to those natural enemy species with the best control effects, and thus improve prevention and control efficiency. The release of a variety of natural enemy species will help maintain ecological balance, avoid excessive pressure on natural enemy populations, and reduce the impact on other biological populations, thereby enhancing the sustainability of prevention and control effects.

[0033] Furthermore, according to the above population control factor sequence of each insect stage, the number of selected test points is adjusted. The specific steps are as follows:

[0034] Obtaining the population control factor to be released from the population control factor sequence, extracting the number of natural enemy species and the age number of each natural enemy species in the population control factor;

[0035] The number of selected test points is calculated by the following formula;

[0036]

[0037] in, represents the number of test points selected when the e-th population control factor is released when the insect stage is a; J m represents the age number of natural enemy species m; It indicates the number of natural enemy species of the e-th population control factor when the insect stage is a.

[0038] By calculating the number of test points, waste and over-allocation of resources are avoided, and each test point can fully play its role and provide valuable data for prevention and control work; a reasonable number of test points ensures the comprehensiveness and accuracy of experimental variables.

[0039] Furthermore, natural enemies of the same age at different stages are released to the n test points mentioned above. The specific steps are as follows:

[0040] Extract the number of natural enemy species and the age number of each natural enemy species in the above population control factors to be released;

[0041] The age of the same natural enemy species in the above population control factors is taken as an element set to obtain an element cluster;

[0042] Select an age from each element set of the above element clusters to determine a combination set of ages of natural enemy species to be released;

[0043] The natural enemy species and age combinations in the above-mentioned natural enemy species and age combinations to be released are released to each test point respectively.

[0044] In compliance with the single variable principle of the experiment, only one age of the natural enemy was changed to conduct the release test, thus ensuring the comprehensiveness of the experimental variables.

[0045] Furthermore, the influence weights of the released natural enemy species on the Monochamus alternatus at each age were determined through the above second characteristic data set. The specific steps are as follows:

[0046] S710, obtaining the number of marked pine beetles from the second-generation pine beetle colony to obtain the second-generation experimental quantity;

[0047] Obtain the vital signs corresponding to the pine beetle from the second characteristic data set, and determine whether the pine beetle is dead through the vital signs; if the pine beetle is dead, obtain the death factor of the pine beetle, and determine whether the death factor is the type of natural enemy released; if so, add 1 to the death amount corresponding to the age of the natural enemy;

[0048] The mortality of the above-mentioned Monochamus alternatus corresponding to the age of the natural enemy was counted to obtain the mortality of the second generation;

[0049] S720, calculating the mortality rate of the released natural enemy species at the age of Monochamus alternatus through the above-mentioned second-generation experimental amount and the second-generation mortality amount, and obtaining the second-generation mortality rate;

[0050] S730, obtaining the second-generation mortality rate of Monochamus alternatus at the n test sites, and calculating the influence weight of the released natural enemy species on Monochamus alternatus at each age by the following formula;

[0051]

[0052] in, It represents the impact weight of the natural enemy species m released on Monochamus alternatus at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of Monochamus alternatus caused by the natural enemy species m released at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of pine beetle caused by the natural enemy species m released at the kth natural enemy age when the insect stage is a.

[0053] A second aspect provides a terminal, including:

[0054] a processor, a memory for storing instructions executable by the processor;

[0055] The processor is configured to call the instructions stored in the memory to execute the analysis method of any one of claims 1 to 6.

[0056] A third aspect provides a computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the analysis method described in any one of claims 1 to 6.

[0057] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0058] By setting up traps at preset test points and trapping adult pine beetles, the life history of the pine beetles they laid (vital signs and mortality factors during the egg, larval, pupal and adult stages) was observed and recorded, and numbers were marked when they were in the egg stage to facilitate tracking of the life history of each pine beetle; by analyzing the life history of each pine beetle, the population control factor set for each stage of the pine beetle was determined, that is, the natural enemy species that can significantly affect the population development trend of the pine beetle; then, according to the population control factors, the corresponding natural enemy species were raised to prepare for the subsequent release The experiment was well prepared; during the release experiment, only one insect stage was targeted each time, and the pine brown beetles in that insect stage during the release period were marked to facilitate tracking of the life course of each marked pine brown beetle in that insect stage; natural enemies of different ages were released to each test point to observe the effects of natural enemies of different ages on the pine brown beetles, and the influence weights of the released natural enemy species on the pine brown beetles at each age were obtained. According to the analysis results of the influence weights, the types, ages and quantities of natural enemies released can be adjusted to improve the prevention and control effect and reduce costs; quantitative analysis provides a scientific basis for optimizing the natural enemy release strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0060] Figure 1 This is the main flow chart of the natural enemy analysis method. DETAILED DESCRIPTION

[0061] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0062] First embodiment:

[0063] Combination Figure 1 , a method for analyzing the natural enemies of Monochamus alternatus, comprising the following steps:

[0064] S100, presetting N test points, setting traps at each of the N test points, trapping adult pine beetles with the traps, and allowing the adult pine beetles to lay eggs at the test points;

[0065] S200, within a time period T1, marking and numbering the above-mentioned Monochamus alternatus in the egg stage at each of the above-mentioned test points to obtain a first-generation Monochamus alternatus colony;

[0066] Monitor the vital signs and death factors of each pine beetle in the first generation of the pine beetle colony at each insect stage to obtain a first feature data set; the first feature data in the first feature data set consists of the vital signs and death factors of a pine beetle at any insect stage, wherein the death factor is the type of natural enemy that causes the death of the pine beetle;

[0067] S300, determining a population control factor set for each insect stage of the pine beetle through the N first feature data sets, wherein the population control factor in the population control factor set is a natural enemy species that controls the development trend of the population; based on the population control factor set, raising natural enemies of corresponding species, and raising and releasing natural enemies in a targeted manner by identifying the population control factors, thereby improving the control effect of each insect stage of the pine beetle;

[0068] S400, selecting n of the above test points, and marking and numbering the above Monochamus alternatus of any insect stage at each of the selected test points within a time period T2, to obtain a second-generation Monochamus alternatus colony;

[0069] S500, obtaining the insect stage when the Monochamus alternatus is marked in the time period T2 and the population control factor set of the insect stage, extracting morphological data from the population control factor set, and obtaining a morphological reference data set;

[0070] Acquire the morphological data of the above-mentioned natural enemies raised to obtain the actual morphological data set; determine the species and ages of the natural enemies through the above-mentioned morphological reference data set and the actual morphological data set; release the same type of natural enemies of different ages to the n above-mentioned test points respectively (Explanation: release one or more natural enemies of the same type to the n above-mentioned test points, the same natural enemy species released at the same test point have the same age, the same natural enemy species released at each test point have the same age, and the same natural enemy species released at each test point have different ages);

[0071] S600, monitoring the vital signs and mortality factors of Monochamus alternatus in the second-generation pine beetle colony to obtain a second feature data set; the second feature data in the second feature data set consists of the vital signs and mortality factors of a Monochamus alternatus during the insect stage when the Monochamus alternatus was marked in time period T2;

[0072] S700. Determine the influence weight of the released natural enemy species on Monochamus alternatus at each age through n of the above second characteristic data sets.

[0073] By setting up traps at preset test points and trapping adult pine beetles, the life history of the pine beetles they laid (vital signs and mortality factors during the egg, larval, pupal and adult stages) was observed and recorded, and numbers were marked when they were in the egg stage to facilitate tracking of the life history of each pine beetle; by analyzing the life history of each pine beetle, the population control factor set for each stage of the pine beetle was determined, that is, the natural enemy species that can significantly affect the population development trend of the pine beetle; then, according to the population control factors, the corresponding natural enemy species were raised to prepare for the subsequent release The experiment was well prepared; during the release experiment, only one insect stage was targeted each time, and the pine brown beetles in that insect stage during the release period were marked to facilitate tracking of the life course of each marked pine brown beetle in that insect stage; natural enemies of different ages were released to each test point to observe the effects of natural enemies of different ages on the pine brown beetles, and the influence weights of the released natural enemy species on the pine brown beetles at each age were obtained. According to the analysis results of the influence weights, the types, ages and quantities of natural enemies released can be adjusted to improve the prevention and control effect and reduce costs; quantitative analysis provides a scientific basis for optimizing the natural enemy release strategy.

[0074] In summary, this method effectively determined the influence of the age of natural enemies on various insect stages of pine brown alternating beetles through refined monitoring, identification of population control factors, determination of the age of natural enemies, and analysis of impact weights. It not only improved the control effect when releasing natural enemies, but also provided scientific guidance and basis for subsequent control work.

[0075] Second embodiment:

[0076] On the basis of the first embodiment, the population control factor set of each insect stage of Monochamus alternatus is determined by using the first characteristic data set, and the specific steps include:

[0077] S310, obtaining the number of egg-stage pine beetles from the first-generation pine beetle colony to obtain a first-generation experimental quantity;

[0078] Obtain the vital signs corresponding to the egg stage, larval stage, pupal stage and adult stage of the Monochamus alternatus from the first characteristic data set, and determine whether the Monochamus alternatus is dead or not through the vital signs; if the Monochamus alternatus is dead, obtain the death factor, and add 1 to the death amount corresponding to the death factor of the insect stage;

[0079] The number of deaths corresponding to the death factors of the above-mentioned Monochamus alternatus in the egg stage, larval stage, pupal stage and adult stage was counted;

[0080] S320, calculating the mortality rate corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage by using the above-mentioned one-generation experimental amount and the mortality amount corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage;

[0081] S330, obtaining the mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage of the N test points, and calculating the average mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage;

[0082] S340, using the following formula to calculate the control index of each mortality factor in the egg stage, larval stage, pupal stage and adult stage;

[0083] a∈{egg stage, larvae stage, pupa stage, adult stage},

[0084] Among them, P i a It represents the control index of the i-th mortality factor when the insect stage is a; It represents the average mortality rate of the ith death factor when the insect stage is a;

[0085] S350, calling the control threshold, and comparing the control index with the control threshold;

[0086] If the above control index is equal to or greater than the control threshold, the mortality factor corresponding to the control index is classified as the population control factor of insect stage a;

[0087] If the above control index is less than the control threshold, the mortality factor corresponding to the control index will be classified as a non-population control factor in insect stage a, avoiding excessive attention to non-population control factors, optimizing the utilization of natural enemy resources, and reducing prevention and control costs.

[0088] For each insect stage, the number of deaths corresponding to each death factor at each test point was counted separately, and the mortality rate of each death factor in each insect stage was calculated based on the first-generation experimental amount and the number of deaths corresponding to each death factor in each insect stage; the mortality rate corresponding to each death factor in each insect stage of N test points was summarized, and the average mortality rate of each death factor in each insect stage was calculated, which helped to eliminate the data bias of a single test point and improve the accuracy of the analysis; the control index of each death factor in each insect stage was calculated using a formula, and the average mortality rate was converted into a relatively quantitative indicator, which was convenient for comparing the population control ability of different death factors on each insect stage of pine brown alternator; through the set control threshold, the death factors were classified to obtain population control factors and non-population control factors, and the population control factors had a stronger population control ability on the specified insect stage of pine brown alternator; based on the identification of population control factors, it can be determined which natural enemy species have the best control effect on the specified insect stage of pine brown alternator, providing a scientific basis for the subsequent breeding and release of natural enemies.

[0089] An application scenario for reference is provided. There are 10 test points preset. It is known that the experimental amount of each test point is 100 pine beetles. The death amount corresponding to each death factor of the pine beetles in the egg stage, larval stage, pupal stage and adult stage at the 10 test points is counted, as shown in Table 1.

[0090] Table 1

[0091]

[0092] Based on the data in Table 1, using (in, It indicates the mortality rate corresponding to the ith death factor when the insect stage is a; represents the number of deaths corresponding to the ith death factor when the insect stage is a; r a represents the experimental quantity when the insect stage is a. Based on the known conditions, the experimental quantity of the egg stage is 100. According to Table 1, the experimental quantity of the larval stage at test point 1 is calculated as r 幼虫期 =r 卵期 -s 卵期 =100-(1+2)=97, where r 卵期 Indicates the experimental quantity of egg stage, s 卵期 = represents the total death amount in the egg stage, the experimental amount in the pupal stage = the experimental amount in the larval stage - the total death amount in the larval stage, and so on), calculate the mortality rate corresponding to each death factor in each insect stage; use (in, represents the mortality rate of the ith mortality factor at the test point h when the insect stage is a), and the average mortality rate corresponding to each mortality factor at each insect stage is calculated; as shown in Table 2;

[0093] Table 2

[0094]

[0095] Finally, using a∈{egg stage, larval stage, pupal stage, adult stage}, calculate the control index of each mortality factor in the egg stage, larval stage, pupal stage and adult stage, exclude the mortality factors with control index lower than the control threshold, and obtain the population control factor set of insect stage a.

[0096] Third embodiment:

[0097] On the basis of the second embodiment, before releasing the same natural enemies of each age to the n test points respectively, it is also necessary to sort the above-mentioned population control factor sets for each insect stage according to the size of the control index to obtain a population control factor sequence; through the above-mentioned population control factor sequence, determine the order of releasing the natural enemy species for the corresponding insect stage.

[0098] From an experimental perspective, the breeding and release of natural enemies requires a certain amount of resources and costs. By determining the order of release of natural enemy species, we can ensure that the natural enemies with the most significant population control effect on pine brown alternating beetles are released first to avoid the problem of insufficient funds leading to the inability to carry out subsequent release experiments. From a practical application perspective, the population control factor sequence obtained through sorting can clearly show which natural enemy species have stronger control over the various insect stages of pine brown alternating beetles, which will help to formulate more accurate natural enemy release strategies, give priority to those natural enemy species with the best control effects, and thus improve prevention and control efficiency. The release of a variety of natural enemy species will help maintain ecological balance, avoid excessive pressure on natural enemy populations, and reduce the impact on other biological populations, thereby enhancing the sustainability of prevention and control effects.

[0099] An application scenario that can be used for reference. It can be seen from Table 2 that there are two sequences of population control factors for pine brown alternator in the egg stage, one is beetle and mantis, and the other is mantis and beetle; the sequence of population control factors for pine brown alternator in the larval stage is Sichuan scleroderma + flower beetle, Sichuan scleroderma, flower beetle, and pine brown alternator Centrostomus; the sequence of population control factors for pine brown alternator in the pupal stage is Sichuan scleroderma, flower beetle, and mantis; the sequence of population control factors for pine brown alternator in the adult stage is beetle, mantis, and woodpecker.

[0100] Fourth embodiment:

[0101] On the basis of the third embodiment, according to the above population control factor sequence of each insect stage, the number of selected test points is adjusted, and the specific steps are as follows:

[0102] Obtaining the population control factor to be released from the population control factor sequence, extracting the number of natural enemy species and the age number of each natural enemy species in the population control factor;

[0103] The number of selected test points is calculated by the following formula;

[0104]

[0105] in, represents the number of test points selected when the e-th population control factor is released when the insect stage is a; J m represents the age number of natural enemy species m; It indicates the number of natural enemy species of the e-th population control factor when the insect stage is a.

[0106] Use the given formula to calculate the number of test sites that should be selected when placing a population control factor. This formula takes into account the number of ages and species of natural enemies, ensuring that the number of test sites can cover all the species and ages of natural enemies that need to be observed.

[0107] By calculating the number of test points, waste and over-allocation of resources are avoided, and each test point can fully play its role and provide valuable data for prevention and control work; a reasonable number of test points ensures the comprehensiveness and accuracy of experimental variables.

[0108] In addition, in the actual implementation process, the number of test points can be flexibly adjusted according to specific circumstances. For example, if a certain natural enemy species has a particularly significant control effect on Monochamus alternatus, the number of test points for observing this natural enemy species can be considered to be increased.

[0109] In a specific embodiment, natural enemies of the same age at different ages are released to the n test points mentioned above, and the specific steps are as follows:

[0110] Extract the number of natural enemy species and the age number of each natural enemy species in the above population control factors to be released;

[0111] The age of the same natural enemy species in the above population control factors is taken as an element set to obtain an element cluster;

[0112] Select an age from each element set of the above element clusters to determine a combination set of ages of natural enemy species to be released;

[0113] The natural enemy species and age combinations in the above-mentioned natural enemy species and age combinations to be released are released to each test point respectively.

[0114] In compliance with the single variable principle of the experiment, only one age of the natural enemy was changed to conduct the release test, thus ensuring the comprehensiveness of the experimental variables.

[0115] An application scenario for reference. As shown in Table 2, the population control factor sequence of the larval stage pine beetle is Sichuan scleroderma + flower beetle, Sichuan scleroderma, flower beetle, and pine beetle centrocera; the first population control factor in the population control factor sequence of the larval stage pine beetle (i.e. Sichuan scleroderma + flower beetle) is extracted. The number of natural enemy species in this population control factor is 2. Sichuan scleroderma and flower beetle both have four instars: egg stage, larval stage, pupa stage and adult stage; the instar of Sichuan scleroderma is taken as a Element set A = {Sichuan scleroderma scleroderma egg stage, Sichuan scleroderma scleroderma larva stage, Sichuan scleroderma scleroderma pupal stage, Sichuan scleroderma scleroderma adult stage}, the age of the flower beetle is taken as an element set B = {flower beetle egg stage, flower beetle larva stage, flower beetle pupal stage, flower beetle adult stage}, element set A and element set B together form an element cluster C = {A, B}; select an age from element set A and element set B respectively, and recombine to obtain the age combination set of natural enemy species to be released D = {D1 = {Sichuan scleroderma scleroderma egg stage, ={the egg stage of the flower parasitoid beetle}, D2 = {the egg stage of the Sichuan scleroderma scleroderma, the larval stage of the flower parasitoid beetle}, D3 = {the egg stage of the Sichuan scleroderma scleroderma, the pupa stage of the flower parasitoid beetle}, D4 = {the egg stage of the Sichuan scleroderma scleroderma, the adult stage of the flower parasitoid beetle}, D5 = {the larval stage of the Sichuan scleroderma scleroderma, the egg stage of the flower parasitoid beetle}, D6 = {the larval stage of the Sichuan scleroderma scleroderma, the larval stage of the flower parasitoid beetle}, D7 = {the larval stage of the Sichuan scleroderma scleroderma, the pupa stage of the flower parasitoid beetle}, D8 = {the larval stage of the Sichuan scleroderma scleroderma, the adult stage of the flower parasitoid beetle}, D9 = {the pupa stage of the Sichuan scleroderma scleroderma ={stage, egg stage of flower parasitoid beetle}, D10 ={pupa stage of Sichuan scleroderma scleroderma, larval stage of flower parasitoid beetle}, D11 ={pupa stage of Sichuan scleroderma scleroderma, pupa stage of flower parasitoid beetle}, D12 ={pupa stage of Sichuan scleroderma scleroderma, adult stage of flower parasitoid beetle}, D13 ={adult stage of Sichuan scleroderma scleroderma, egg stage of flower parasitoid beetle}, D14 ={adult stage of Sichuan scleroderma scleroderma, larval stage of flower parasitoid beetle}, D15 ={adult stage of Sichuan scleroderma scleroderma, pupa stage of flower parasitoid beetle}, D16 ={adult stage of Sichuan scleroderma scleroderma, adult stage of flower parasitoid beetle}}; use The number of selected test points is 16, and D1 to D16 in the natural enemy species and age combination set D to be released are released to the 16 test points respectively.

[0116] Fifth embodiment:

[0117] On the basis of any of the above embodiments, the influence weight of the released natural enemy species on Monochamus alternatus at each age is determined by using the above second characteristic data set, and the specific steps are as follows:

[0118] S710, obtaining the number of marked pine beetles from the second-generation pine beetle colony to obtain the second-generation experimental quantity;

[0119] Obtain the vital signs corresponding to the pine beetle from the second characteristic data set, and determine whether the pine beetle is dead through the vital signs; if the pine beetle is dead, obtain the death factor of the pine beetle, and determine whether the death factor is the type of natural enemy released; if so, add 1 to the death amount corresponding to the age of the natural enemy;

[0120] The mortality of the above-mentioned Monochamus alternatus corresponding to the age of the natural enemy was counted to obtain the mortality of the second generation;

[0121] S720, calculating the mortality rate of the released natural enemy species at the age of Monochamus alternatus through the above-mentioned second-generation experimental amount and the second-generation mortality amount, and obtaining the second-generation mortality rate;

[0122] S730, obtaining the second-generation mortality rate of Monochamus alternatus at the n test sites, and calculating the influence weight of the released natural enemy species on Monochamus alternatus at each age by the following formula;

[0123]

[0124] in, It represents the impact weight of the natural enemy species m released on Monochamus alternatus at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of Monochamus alternatus caused by the natural enemy species m released at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of pine beetle caused by the natural enemy species m released at the kth natural enemy age when the insect stage is a.

[0125] Sixth embodiment:

[0126] A terminal, comprising:

[0127] a processor, a memory for storing instructions executable by the processor;

[0128] The processor is configured to call the instructions stored in the memory to execute the analysis method of any one of claims 1 to 6.

[0129] Seventh embodiment:

[0130] A computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the analysis method described in any one of claims 1 to 6.

[0131] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing natural enemies of Monochamus alternatus, characterized in that: The following steps are involved: S100, presetting N test points, setting traps at each of the N test points, trapping adult pine beetles with the traps, and allowing the adult pine beetles to lay eggs at the test points; S200, within a time period T1, marking and numbering the Monochamus alternatus in the egg stage at each test point to obtain a first-generation Monochamus alternatus colony; Monitor the vital signs and death factors of each pine beetle in the first generation of pine beetle colony at each insect stage to obtain a first feature data set; the first feature data in the first feature data set consists of the vital signs and death factors of a pine beetle at any insect stage, wherein the death factor is the type of natural enemy that causes the death of the pine beetle; S300, determining a population control factor set for each insect stage of Monochamus alternatus through N first feature data sets, wherein the population control factors in the population control factor set are natural enemy species that control the development trend of the population; and raising natural enemies of corresponding species based on the population control factor set; S400, selecting n test points, and marking and numbering the Monochamus alternatus of any insect stage at each of the selected test points within a time period T2, to obtain a second-generation Monochamus alternatus colony; S500, obtaining the insect stage when the Monochamus alternatus is marked in the time period T2 and a population control factor set of the insect stage, extracting morphological data from the population control factor set, and obtaining a morphological reference data set; Acquire the morphological data of the natural enemy raised to obtain an actual morphological data set; determine the type and age of the natural enemy through the morphological reference data set and the actual morphological data set; and release the same type of natural enemy of different ages to the n test points respectively; S600, monitoring the vital signs and mortality factors of Monochamus alternatus in the second-generation pine beetle colony to obtain a second feature data set; the second feature data in the second feature data set consists of the vital signs and mortality factors of a Monochamus alternatus during the insect stage when the Monochamus alternatus is marked in time period T2; S700. Determine the influence weight of the released natural enemy species on Monochamus alternatus at each age through n of the second characteristic data sets.

2. The method for analyzing the natural enemies of Monochamus alternatus according to claim 1, characterized in that: Determining the population control factor set of each insect stage of Monochamus alternatus through the first characteristic data set, the specific steps include: S310, obtaining the number of egg-stage pine beetles from the first-generation pine beetle colony to obtain a first-generation experimental quantity; Obtaining the vital signs corresponding to the egg stage, larval stage, pupal stage and adult stage of the Monochamus alternatus from the first feature data set, and determining whether the Monochamus alternatus is dead based on the vital signs; if the Monochamus alternatus is dead, obtaining the death factor, and adding 1 to the death amount corresponding to the death factor of the insect stage; Count the number of deaths corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage of the Monochamus alternatus; S320, calculating the mortality rate corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage according to the one-generation experimental amount and the death amount corresponding to each death factor in the egg stage, larval stage, pupal stage and adult stage; S330, obtaining the mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage of N test points, and calculating the average mortality rate corresponding to each mortality factor in the egg stage, larval stage, pupal stage and adult stage; S340, using the following formula to calculate the control index of each mortality factor in the egg stage, larval stage, pupal stage and adult stage; a∈{egg stage, larva stage, pupa stage, adult stage}, in, It represents the control index of the i-th mortality factor when the insect stage is a; It represents the average mortality rate of the ith death factor when the insect stage is a; S350, calling a control threshold, and comparing the control index with the control threshold; If the control index is equal to or greater than the control threshold, the mortality factor corresponding to the control index is classified as the population control factor of insect stage a; If the control index is less than the control threshold, the mortality factor corresponding to the control index is classified as a non-population control factor of insect stage a.

3. The method for analyzing the natural enemies of Monochamus alternatus according to claim 2, characterized in that: Before releasing the same type of natural enemies of different ages to the n test points, it is also necessary to sort the population control factor sets of each insect stage according to the size of the control index to obtain a population control factor sequence; through the population control factor sequence, determine the order of releasing the natural enemy species of the corresponding insect stage.

4. The method for analyzing the natural enemies of Monochamus alternatus according to claim 3, characterized in that: According to the population control factor sequence of each insect stage, the number of selected test points is adjusted. The specific steps are as follows: Obtaining the population control factor to be released from the population control factor sequence, and extracting the number of natural enemy species and the number of ages of each natural enemy species in the population control factor; The number of selected test points is calculated by the following formula; in, represents the number of test points selected when the e-th population control factor is released when the insect stage is a; J m represents the age number of natural enemy species m; It indicates the number of natural enemy species of the e-th population control factor when the insect stage is a.

5. The method for analyzing the natural enemies of Monochamus alternatus according to claim 4, characterized in that: The same natural enemies of different ages are released to the n test points respectively. The specific steps are as follows: Extracting the number of natural enemy species and the age number of each natural enemy species in the population control factor to be released; Taking the age of the same natural enemy species in the population control factor as an element set, an element cluster is obtained; Selecting an age from each element set of the element cluster respectively to determine a combination set of ages of natural enemy species to be released; The natural enemy species and age combinations in the set of natural enemy species and age combinations to be released are released to each test point respectively.

6. The method for analyzing the natural enemies of Monochamus alternatus according to claim 1, characterized in that: The influence weights of the released natural enemy species on Monochamus alternatus at different ages are determined by using the second characteristic data set. The specific steps are as follows: S710, obtaining the number of marked pine beetles from the second-generation pine beetle colony to obtain the second-generation experimental quantity; Obtaining the vital signs corresponding to the pine beetle from the second feature data set, and determining whether the pine beetle is dead through the vital signs; if the pine beetle is dead, obtaining the death factor of the pine beetle, and determining whether the death factor is the type of natural enemy released; if so, adding 1 to the death amount corresponding to the age of the natural enemy; Counting the mortality of the Monochamus alternatus corresponding to the age of the natural enemy to obtain the mortality of the second generation; S720, calculating the mortality rate of the released natural enemy species at the age of Monochamus alternatus through the second-generation experimental amount and the second-generation mortality amount, and obtaining the second-generation mortality rate; S730, obtaining the second-generation mortality rate of Monochamus alternatus at the n test points, and calculating the influence weight of the released natural enemy species on Monochamus alternatus at each age by the following formula; in, It represents the impact weight of the natural enemy species m released on Monochamus alternatus at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of Monochamus alternatus caused by the natural enemy species m released at the jth natural enemy age when the insect stage is a; It indicates the mortality rate of pine beetle caused by the natural enemy species m released at the kth natural enemy age when the insect stage is a.

7. A terminal, characterized in that: include: a processor, a memory for storing instructions executable by the processor; The processor is configured to call the instructions stored in the memory to execute the analysis method described in any one of claims 1 to 6.

8. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the analysis method according to any one of claims 1 to 6 is implemented.

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