A method for preventing and treating solenopsis invicta by using amphiareus simillimus
By studying the predation characteristics of Chinese antlion larvae on red imported fire ants, the optimal release rate and control ratio were determined, solving the problems of environmental pollution and poor efficacy in existing red imported fire ant control technologies, and achieving green, environmentally friendly, and highly efficient biological control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF PLANT PROTECTION CHINESE ACAD OF AGRI SCI
- Filing Date
- 2023-07-17
- Publication Date
- 2026-08-04
AI Technical Summary
Existing technologies are insufficient to effectively control the spread of red imported fire ants. Chemical control methods pollute the environment and are ineffective, while biological control methods lack natural enemies of red imported fire ants, especially the predatory nature of the larvae of the Chinese antlion, which has not been utilized.
By studying the predation characteristics of Chinese antlion larvae on red imported fire ants, a density gradient experiment and model were established to determine the optimal release amount and control ratio of larvae at different instars, and Chinese antlion larvae were used for biological control of red imported fire ants.
It provides scientific basis and methods, achieving green, environmentally friendly, economical, and efficient control of red imported fire ants. The larvae of the Chinese antlion can play a sustainable role, without the need for complicated facilities, and are suitable for widespread application.
Smart Images
Figure CN117016534B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of biological pest control technology, and in particular relates to a method for controlling red imported fire ants using the Chinese antlion. Background Technology
[0002] Red imported fire ants (Solenopsis invicta Buren) are among the 100 most dangerous invasive species internationally, attracting significant attention due to their substantial impact on human health, economic development, and local biodiversity. The invasion of red imported fire ants has a profound impact on human life, the economy, and the ecosystem. Surveys have revealed that red imported fire ant invasions have caused damage to crops and plants, abandoned farmland, poultry bites, attacks and stings on people, and endangered the lives of vulnerable populations in most parts of southern China, posing a potential threat to public safety, agricultural and forestry production, and ecosystem security. To effectively control the spread of red imported fire ants, researchers have employed physical and chemical methods, but with limited effectiveness. These methods also have many limitations, consume significant human and material resources, and chemical control pollutes the environment, disrupts ecological balance, and harms other organisms.
[0003] Biological control is a more sustainable method of pest control, which involves introducing and establishing natural enemies to reduce pest populations. Ideally, these natural enemy insects will self-sustain and naturally spread to uncontrolled pest populations, significantly reducing pest numbers and spread. Utilizing natural enemy insects to control pests is a very important method of agricultural pest control, and it is of great significance for ensuring the quality of agricultural products and protecting the ecological environment.
[0004] The Chinese antlion (Myrmeleonmicans) belongs to the order Neuroptera and the family Myrmeleontidae. The larvae, called antlions, are stout, with a raised abdomen and abundant hair. They have well-developed, long, curved mandibles with teeth on the inner side. They dig funnel-shaped burrows in sandy soil, burying themselves at the bottom with only their heads exposed, waiting for small insects to fall in and be caught and eaten. Both adults and larvae of the Chinese antlion are mostly terrestrial and predatory, feeding on harmful insects such as aphids, spider mites, and scale insects. They play an important role in controlling insect populations and maintaining ecological balance. Antlions also have high medicinal value, used to treat conditions such as hypertension, urinary tract stones, gallstones, and osteomyelitis. In recent decades, my country and many other countries around the world have successfully applied Neuroptera insects to the biological control of pests. However, since the larvae of the Chinese antlion have not yet been found to prey on red imported fire ants, the biological control of red imported fire ants using the Chinese antlion has not yet been applied in China. Summary of the Invention
[0005] In view of the problems existing in the prior art, the present invention provides a method for controlling red imported fire ants using the Chinese ant lacewing. The method utilizes the larvae of the Chinese ant lacewing to prey on red imported fire ants for biological control. Through the study of predation response, data on the predation amount of red imported fire ants by different larval stages of the Chinese ant lacewing are obtained. Furthermore, a functional response model of the Chinese ant lacewing larvae to predation and a disturbance and competition model are derived, providing a scientific basis for the control of red imported fire ants using the Chinese ant lacewing.
[0006] The technical solution provided by this invention is as follows:
[0007] This invention provides a method for controlling red imported fire ants using the larvae of the Chinese ant larvae. This method utilizes the larvae of the Chinese ant larvae to prey on red imported fire ants, thereby controlling the fire ants.
[0008] This invention unexpectedly discovered that the larvae of the Chinese antlion at different stages are predatory towards red imported fire ants. Through density gradient experiments, Holling's disk equation, and Watt's interference and competition model, the optimal release rate of the Chinese antlion larvae at different instars and the optimal control ratio against red imported fire ants were determined. The biological control method provided by this invention utilizes the Chinese antlion, a dominant natural enemy of red imported fire ants, providing a scientific basis for its widespread application in the future control of red imported fire ants.
[0009] This invention is the first to discover that the larvae of the Chinese antlion can prey on red imported fire ants. The Chinese antlion, a natural enemy insect described in this invention, can be raised using readily available prey insects, resulting in low breeding costs. The Chinese antlion is an insect that is naturally decomposed, leaves no residue, and poses no harm to human health. Furthermore, the Chinese antlion is easy to use; simply releasing it into the wild requires no complex tools or facilities, and it continues to exert its effect. Therefore, using the Chinese antlion to control red imported fire ants has advantages such as being environmentally friendly, economical, sustainable, and highly efficient, making it suitable for widespread application.
[0010] Furthermore, the optimal control ratio of the Chinese antlion against red imported fire ants is 1:14 to 1:47.
[0011] The larvae of the Chinese ant lacewing can be any one or more of the 1st, 2nd, and 3rd instars; the optimal control ratio of 1st instar larvae against red imported fire ants is 1:14; the optimal control ratio of 2nd instar larvae against red imported fire ants is 1:34; and the optimal control ratio of 3rd instar larvae against red imported fire ants is 1:47.
[0012] The method of controlling red imported fire ants using single-headed Chinese ant larvae includes the following steps: release Chinese ant larvae at an optimal control ratio of 1:14 for first-instar larvae; release Chinese ant larvae at an optimal control ratio of 1:34 for second-instar larvae; and release Chinese ant larvae at an optimal control ratio of 1:47 for third-instar larvae.
[0013] Furthermore, the optimal release rate of *Sinocyclocheilus spp.* larvae for controlling red imported fire ants includes: 1-3 *Sinocyclocheilus spp.* larvae per rearing space to control 20-60 red imported fire ants.
[0014] Preferably, for each rearing space, 3 Chinese antlions are used to control 60 red imported fire ants.
[0015] The rearing space can be 25.2cm × 17.4cm × 9.3cm in size, with a substrate at the bottom, which includes sand and / or soil, and the substrate thickness is 2-3cm.
[0016] Furthermore, the larvae of the Chinese antlion were used to prey on red imported fire ant worker ants.
[0017] The process may include the following steps: First, feed the larvae of the Chinese antlion to red imported fire ants for 24 hours to allow them to acclimate, then starve them for 24 hours before releasing them into the soil. For example, feed the larvae to red imported fire ant workers for 24 hours to allow them to acclimate, then starve them for 24 hours before releasing them into dry, fine sand (passed through a 40-mesh sieve) or soil, to a depth of 2-3 cm, while maintaining an ambient temperature of 26±1℃ and a humidity of 60%±10%.
[0018] Using the above methods is beneficial to improving the prevention and control effect.
[0019] This invention also provides a method for calculating the optimal control ratio of Chinese ant larvae against red imported fire ants, comprising the following steps:
[0020] (1) Construct a predation-functional reaction device;
[0021] (2) Different numbers of red imported fire ant worker ants were introduced into the predatory reaction device;
[0022] (3) Feed the larvae of the Chinese East Antlet to red imported fire ants for 24 hours to adapt, then starve them for 24 hours before releasing them into the predatory function reaction device. Place the predatory function reaction device in an artificial climate incubator and maintain the temperature at 26±1℃ and the humidity at 60%±10%.
[0023] (4) After 24 hours, the larvae of the Chinese antlion were observed and counted. The average daily predation amount of the Chinese antlion larvae on different numbers of red imported fire ants was statistically analyzed. The data were fitted using the Holling disk equation to obtain the predation function response model of the Chinese antlion larvae to red imported fire ants, and the optimal control ratio was calculated.
[0024] The above method can be used to calculate the optimal control ratio of Chinese ant larvae against red imported fire ants, which is helpful in guiding prevention and control work.
[0025] Furthermore, the Holling-II type disk equation Na=a'NT / (1+a'ThN) is as follows: a' is the instantaneous attack rate, Th is the processing time, Na is the daily prey quantity, N is the prey density, T is the test time (1 day), 1 / Th is the maximum theoretical prey quantity, and a' / Th is the predation capacity.
[0026] This invention also provides a method for calculating the optimal release amount of *Sinomenium acutum* larvae for controlling red imported fire ants, comprising the following steps:
[0027] (1) Construct a predation-functional reaction device;
[0028] (2) Introduce red imported fire ant worker ants into the predatory reaction device;
[0029] (3) Feed the larvae of the Chinese ant larvae to the red imported fire ant workers for 24 hours to adapt. Then, put different numbers of Chinese ant larvae of different ages into the predatory function reaction device after starving them for 24 hours. Place the predatory function reaction device in an artificial climate incubator and maintain the temperature at 26±1℃ and the humidity at 60%±10%.
[0030] (4) After 24 hours, observe and count the number of larvae of different stages of the Chinese ant larvae and calculate the average daily predation amount of red imported fire ants. Use Watt's interference and competition model equation to fit the data, obtain the interference and competition equation of different stages of the Chinese ant larvae, and calculate the optimal release amount.
[0031] Watt's interference and competition model equation is A = aX -b , where a is the attack rate of the larvae of the Chinese antlion in the absence of competition, X is the density of the larvae of the Chinese antlion, and b is the intraspecific competition parameter of the larvae of the Chinese antlion.
[0032] The beneficial effects of this invention include:
[0033] This invention utilizes the predatory characteristics of *Aegilops sinensis* larvae towards red imported fire ants for red imported fire ant control. Through predation response studies, data on the predation amount of *Aegilops sinensis* larvae on red imported fire ants was obtained, determining the optimal release quantity of both larvae and ants. Furthermore, by fitting the obtained data, a predation functional response model of *Aegilops sinensis* larvae to red imported fire ants, as well as a disturbance and competition model, were derived. These data and models will provide a scientific basis for the control of red imported fire ants using *Aegilops sinensis*. Attached Figure Description
[0034] Figure 1The image shows the morphology of the larvae of the Chinese antlion; the left image is an enlarged view, and the right image is a reduced view.
[0035] Figure 2 It is a predation-functional reaction device; among which, 1 is a rearing box, 2 is fine sand, and 3 is the larvae of the Chinese antlion.
[0036] Figure 3 The predatory functional response of a first-instar larva of the Chinese antlion to red imported fire ants in Example 1. Figure 3 (Only data for 10-50 heads is shown).
[0037] Figure 4 The predatory functional response of the second instar larvae of the Chinese antlion to red imported fire ants in Example 1. Figure 4 (Only data for 20-80 heads is shown).
[0038] Figure 5 The predatory functional response of the third instar larvae of the Chinese antlion to red imported fire ants in Example 1. Figure 5 (Only data for 20-80 heads is shown).
[0039] Figure 6 The search effect of Chinese ant larvae on red imported fire ants ( Figure 6 (Only data for 20-100 heads is shown). Detailed Implementation
[0040] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0041] In this invention, unless otherwise specified, all methods are conventional in the art or performed according to the techniques or conditions described in the literature in the art, or according to the product instructions. Reagents and instruments whose manufacturers are not specified are all conventional products that can be purchased from legitimate channels or prepared according to conventional methods in the art.
[0042] Experimental materials:
[0043] Larvae of the Chinese Eastern Antfly: Collected from Xichuan County, Nanyang City, Henan Province. The larvae of the Chinese Eastern Antfly prey on red imported fire ants as shown in the image. Figure 1 As shown.
[0044] Red imported fire ants: collected in Jinjiang City, Quanzhou City, Fujian Province.
[0045] The predation-functional reaction device used in the embodiments of the present invention is as follows: Figure 2As shown, it includes a breeding box 1 and fine sand 2; the breeding box 1 can be square, with dimensions of 25.2cm × 17.4cm × 9.3cm (length × width × height), and can be made of transparent plastic. The breeding box 1 is equipped with a breathable lid. Figure 2 (Not shown in the image); the bottom of the rearing box 1 is covered with fine sand 2, which is about 2-3 cm high and is dry fine sand (passed through a 40-mesh sieve); the larvae of the Chinese antlion 3 can be put into the fine sand 2 for cultivation.
[0046] The following is a description through specific embodiments.
[0047] Example 1
[0048] A study was conducted on the predation of red imported fire ants by the larvae of the Chinese antlion to determine the optimal control ratio of the larvae against the red imported fire ants. The study included the following steps:
[0049] (1) Construct a predation-feeding response device based on the feeding box, such as... Figure 2 As shown; the size of the feeding box is 25.2cm × 17.4cm × 9.3cm;
[0050] (2) Different numbers of red imported fire ant worker ants were introduced into the predatory function reaction device. The number of red imported fire ant worker ants in each treatment group was set from 10 to 100 (10, 20, 30, 40, 50, 60, 70, 80, 100).
[0051] (3) Feed the larvae of the Chinese ant larvae to the worker ants of the red imported fire ants for 24 hours to adapt. During the adaptation period, each larvae of the Chinese ant larvae is fed a certain number (about 5-10) of red imported fire ants. After starving for 24 hours, the larvae of the Chinese ant larvae are put into the predatory function reaction device. One larvae of the Chinese ant larvae is put into each group. The predatory function reaction device is placed in an artificial climate chamber and the temperature is controlled at 26±1℃ and the humidity is 60%±10%.
[0052] (4) After 24 hours, the number of remaining red imported fire ant workers in each group was observed and recorded. The average daily predation rate of *Eriocaulon chinensis* larvae on different numbers of red imported fire ants was calculated. Each treatment group was repeated 6 times. The number of red imported fire ant workers that died naturally in the control group was used for correction. The data were fitted using the Holling disk equation Na=a'NT / (1+a'ThN), where Na is the number of red imported fire ants preyed on (unit: heads), a' is the instantaneous attack coefficient of *Eriocaulon chinensis*, T is the total time of the predation functional response test (unit: hours), which was 24 hours in this experiment, N is the initial number of red imported fire ants (unit: heads), and Th is the time it takes for *Eriocaulon chinensis* larvae to treat one red imported fire ant (unit: hours). Thus, the predation functional response model of *Eriocaulon chinensis* larvae to red imported fire ants was obtained, and the optimal control ratio was calculated.
[0053] The test data of different larval stages of *Sinoceras chinensis* are shown in Table 1. In Table 1, R... 2 Ri is the correlation coefficient, representing the degree of fit of the regression model to the data. 2 The closer the value is to 1, the higher the degree of fit. The instantaneous attack rate represents the strength of the predator's attack ability on its prey, which is calculated by the equation Na=a'NT / (1+a'ThN). The data is fitted using the least squares method. The predation functional response equation of *Aegilops sinensis* larvae to red imported fire ants is fitted using the data in Table 1. The predation amount (Na) of *Aegilops sinensis* larvae to red imported fire ants increases with the increase of prey density (N). The theoretical maximum daily predation amount is 47.1698 for 3rd instar larvae, 34.9650 for 2nd instar larvae, and 14.3266 for 1st instar larvae. The predation functional response of *Aegilops sinensis* larvae to red imported fire ants conforms to the Holling-II type disc equation (Table 1).
[0054] Based on the data in Table 1, the theoretical maximum daily predation rate was calculated, thus determining the optimal control ratio of *Sinomenium acutum* to red imported fire ants. Specifically, the optimal control ratio of first-instar *Sinomenium acutum* larvae to red imported fire ants is 1:14, meaning that one first-instar *Sinomenium acutum* larvae per day can control 14 red imported fire ants; the optimal control ratio of second-instar *Sinomenium acutum* larvae to red imported fire ants is 1:34, meaning that one second-instar *Sinomenium acutum* larvae per day can control 34 red imported fire ants; and the optimal control ratio of third-instar *Sinomenium acutum* larvae to red imported fire ants is 1:47, meaning that one third-instar *Sinomenium acutum* larvae per day can control 47 red imported fire ants.
[0055] Table 1. Functional response equations of *Sinocyclocheilus spp.* larvae to red imported fire ants.
[0056]
[0057] Note: In Table 1, the processing time Th is converted to days.
[0058] The results of the predatory responses of different instars of the Chinese ant lacewing larvae to red imported fire ants are as follows: Figures 3 to 5 As shown, when the red imported fire ant population increases to a certain level, the predation rate of the larvae tends to stabilize, meaning that the number of red imported fire ants preyed upon by the larvae of the Chinese antlion does not increase significantly. For example, for the first instar larvae of the Chinese antlion, when the number of red imported fire ants reaches 30, the predation rate tends to stabilize; for the second instar larvae, when the number of red imported fire ants reaches 60, the predation rate tends to stabilize; and for the third instar larvae, when the number of red imported fire ants reaches 70, the predation rate tends to stabilize.
[0059] This invention further establishes a search effect equation. Based on predation response experimental data, the search effect equation is S = a'(1 + a'ThN), where a' is the instantaneous attack coefficient of the Chinese antlion, Th is the time (in hours) for the Chinese antlion larva to deal with one red imported fire ant, and N is the number of red imported fire ants. The search effect constant S is calculated. The search effect of the first instar larva of the Chinese antlion on red imported fire ants is: S = 1.4482 / (1 + 0.1011N); the search effect of the second instar larva of the Chinese antlion on red imported fire ants is: S = 0.6428 / (1 + 0.0184N); and the search effect of the third instar larva of the Chinese antlion on red imported fire ants is: S = 0.6587 / (1 + 0.0139N). Figure 6 It can be seen that within the prey density range of 20-100 individuals, the search effect of the Chinese antlion larvae on red imported fire ants gradually decreases as the prey density increases.
[0060] In summary, the optimal control ratio of first-instar larvae of the Chinese antlion against red imported fire ants is 1:14, meaning that one first-instar larva of the Chinese antlion can control 14 red imported fire ants; the optimal control ratio of second-instar larvae of the Chinese antlion against red imported fire ants is 1:34, meaning that one second-instar larva of the Chinese antlion can control 34 red imported fire ants; and the optimal control ratio of third-instar larvae of the Chinese antlion against red imported fire ants is 1:47, meaning that one third-instar larva of the Chinese antlion can control 47 red imported fire ants.
[0061] Example 2
[0062] A study was conducted on the predation of red imported fire ants by larvae of the Chinese antlion to determine the optimal release rate of these larvae. The study included the following steps:
[0063] (1) Construct a predation-responsive device based on a feeding box; The size of the feeding box: length × width × height 25.2cm × 17.4cm × 9.3cm;
[0064] (2) 20, 40, 60, 80 and 100 red imported fire ant worker ants were respectively introduced into the predation function reaction device;
[0065] (3) The larvae of the Chinese ant larvae to be tested were first fed with red imported fire ant worker ants for 24 hours to adapt. During the adaptation period, each Chinese ant larvae was fed a certain number (about 5-10) of red imported fire ants, and then starved for 24 hours. Different numbers of Chinese ant larvae were introduced into the predatory function reaction device, with the number of larvae being 1, 2, 3, 4 and 5 respectively. The predatory function reaction device was placed in an artificial climate chamber and the temperature was maintained at 26±1℃ and the humidity at 60%±10%.
[0066] (4) After 24 hours, observe and record the number of remaining red imported fire ant workers in each treatment. Calculate the average daily predation rate of red imported fire ants by different numbers of *Sinoceras chinensis* larvae of different developmental stages. Each treatment group was repeated 5 times, and the number of naturally dying red imported fire ant workers in the control group was used for correction. Watt's interference and competition model equation A = aX -b Fitted data, where A is the number of red imported fire ants preyed upon (unit: head), a is the attack rate of *Sinoceras chinensis* larvae in the absence of competition, X is the density of *Sinoceras chinensis* larvae (unit: head), and b is the intraspecific competition parameter of *Sinoceras chinensis* larvae; interference and competition equations for *Sinoceras chinensis* larvae in different developmental stages were derived, and the optimal release amount was calculated.
[0067] Example 1 investigated the predation ability of antlions on red imported fire ants, i.e. the optimal control ratio corresponding to a single antlion. However, since the antlion population was placed together, the antlions might interfere with each other's predation of red imported fire ants. Therefore, Example 2 further investigated whether the number of antlions released had any effect on the predation ability of red imported fire ants.
[0068] The test data are shown in Tables 2, 3, and 4. In Tables 2 to 4, the average predation rate was calculated by dividing the total predation rate by the number of predators. The predation rate of *Antria sinensis* larvae showed a decreasing trend with increasing population size, and the predation rate per predator gradually decreased, all consistent with Watt's interference and competition model. The interference model equation for the first instar larvae was A = 0.3958X. -1.226 The interference model equation for the second instar larvae is A = 0.4212X. -1.195 The interference model equation for the 3rd instar larva is A = 0.5062X. -1.249 .
[0069] The results in Tables 2 to 4 show that when the number of red imported fire ants reached 60, the average predation rate of *Sinocyclocheilus chinensis* larvae on red imported fire ants decreased significantly when the number of larvae in the three instars was 1, 2, and 3 respectively. However, the difference was not significant when the number of *Sinocyclocheilus chinensis* larvae increased from 4 to 5. These results indicate that an increase in the number of natural enemies per unit space leads to a greater chance of encounters between individuals of different species, resulting in increased interference and thus affecting their predation efficiency. Placing antlions together interferes with their predation of red imported fire ants. Based on the significant interference effect analysis of average data, in a limited rearing space (e.g., 25.2cm × 17.4cm × 9.3cm), placing 3 antlion larvae in a space including sandy soil (2-3cm thick) is optimal for controlling 60 red imported fire ants.
[0070] Table 2. Average predation rate of first-instar larvae of the Chinese antlion on red imported fire ants at different densities.
[0071]
[0072]
[0073] Note: Data in Table 2 are mean ± standard error. Different letters after the data in the same column indicate significant differences at the P < 0.05 level according to Duncan's test.
[0074] Table 3. Average predation rate of second-instar larvae of the Chinese antlion on red imported fire ants at different densities.
[0075]
[0076] Note: Data in Table 3 are mean ± standard error. Different letters after the data in the same column indicate significant differences at the P<0.05 level according to Duncan's test.
[0077] Table 4. Average predation rate of third-instar larvae of the Chinese antlion on red imported fire ants at different densities.
[0078]
[0079] Note: Data in Table 4 are mean ± standard error. Different letters after the data in the same column indicate significant differences at the P < 0.05 level according to Duncan's test.
[0080] Although embodiments of this application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for controlling Solenopsis invicta by using Harpactor fuscipes, characterized in that, The larvae of the Chinese ant lacewing prey on red imported fire ants; the Chinese ant lacewing can be any one or more of the 1st, 2nd, and 3rd instars. When a single larva of the Chinese ant lacewing is released into a unit space, the optimal control ratio of the Chinese ant lacewing to red imported fire ants is 1:14 to 1:
47. When releasing two or more larvae of the Chinese antlion into a unit space, release the larvae at the optimal ratio of 3 Chinese antlion larvae to control 60 red imported fire ants; The dimensions of the unit space are 25.2cm × 17.4cm × 9.3cm; Before releasing the larvae of the Chinese antlion, feed the larvae with red imported fire ants for 24 hours to allow them to adapt, then starve them for 24 hours before releasing them.
2. The method for preventing and treating Solenopsis invicta Buren by using the Chinese ant-lion according to claim 1, wherein the Chinese ant-lion is a larva of the Chinese ant-lion. The optimal control ratio of first-instar larvae against red imported fire ants is 1:14; the optimal control ratio of second-instar larvae of the Chinese antlion against red imported fire ants is 1:34; and the optimal control ratio of third-instar larvae against red imported fire ants is 1:
47.
3. The method for preventing and treating Solenopsis invicta Buren with Chinese East Dendrolimus according to claim 1, characterized in that, The bottom of each unit space is covered with a substrate, which is 2-3 cm thick.
4. The method for preventing and treating Solenopsis invicta Buren with Chinese East Cicada Fly according to any one of claims 1-3, characterized in that, Using the larvae of the Chinese ant larvae to prey on worker red imported fire ants.
5. The method for controlling red imported fire ants using the Chinese antlion according to claim 1, characterized in that, The method for obtaining the prevention and control ratio includes the following steps: (1) Construct a predation-functional reaction device; (2) Different numbers of red imported fire ant worker ants were introduced into the predatory reaction device; (3) The larvae of the Chinese ant larvae were first fed with red imported fire ant worker ants for 24 hours to adapt, and then starved for 24 hours before being released into the predatory function reaction device. The predatory function reaction device was placed in an artificial climate incubator and the temperature was maintained at 26±1℃ and the humidity at 60%±10%. (4) After 24 hours, observe and count the number of red imported fire ants. The average daily predation amount of the Chinese ant larvae on different numbers of red imported fire ants was statistically analyzed. The data was fitted using the Holling disk equation to obtain the predation function response model of the Chinese ant larvae to red imported fire ants, and the optimal control ratio was calculated.
6. The method for controlling red imported fire ants using *Sinocyclocheilus chinensis* according to claim 1, characterized in that, The method for obtaining the optimal release amount includes the following steps: (1) Construct a predation-functional reaction device; (2) Introduce red imported fire ant worker ants into the predatory reaction device; (3) The larvae of the Chinese ant larvae were first fed with red imported fire ant worker ants for 24 hours to adapt, and then different numbers of the Chinese ant larvae were starved for 24 hours before being released into the predatory function reaction device. The predatory function reaction device was placed in an artificial climate incubator and the temperature was maintained at 26±1℃ and the humidity at 60%±10%. (4) After 24 hours, observe and count the daily predation amount of different numbers of Chinese ant larvae on red imported fire ants, and use Watt's interference and competition model equation to fit the data, obtain the interference and competition equation of different ant larvae, and calculate the optimal release amount.