1197 Correlation of the Nest Density and the Number of Workers in Bait Traps for Fire Ants (Solenopsis invicta) in Southern China by Yong-Yue Lu, Lei Wang*, Yijuan Xu, Ling Zeng & Ningdong Li ABSTRACT The relationship between Solenopsis invicta nest density and the number of fire ant workers in bait traps and percentages of traps capturing ants were investigated in the waste land of Wuchuan, Guangdong, South China. The results showed that fire ant nest density is positively correlated with the num- ber of workers captured in traps, and could be described by N=60.53LnD +348.0D+421.1. The workers exceeded 200 and 300 in bait traps while the density of fire ant nests was over 0.023 and 0.084 ind./m2, respectively. The percentages of traps capturing ants were also positively correlated with fire ant nest density and fit by Pe=1/(1+e0.9694-309.85D). When the nest density was over 0.018 ind./m2, over 99% of traps captured fire ant workers. N=8.8796e0.0346Pe was the fitting line for worker amount and trap percentage. The workers per trap were about 50, 100, and 200 when the trap percentages were 50%, 70% and 90%, respectively. Key words: fire ants, Solenopsis invicta, nest density, bait traps INTRODUCTION The red imported fire ant, Solenopsis invicta, is a serious economic pest. Since its introduction into the U.S., the ant has infested most of the southern states (Williams et al. 2003). To date, Solenopsis invicta is also seen in Australia, New Zealand, mainland China and Taiwan (McCubbin & Weiner 2002, Pascoe 2002, Zeng et al. 2005). Red imported fire ants can cause many problems to Red Imported Fire Ant Research Center, South China Agricultural University, Guangzhou 510642, P.R. China Corresponding author: Lu Yong-yue Red Imported Fire Ant Research Center South China Agricultural University Guangzhou 510642, P.R. China Email: luyong yue@scau.edu.cn , insectlu@163.com *Joint first author 1198 Sociobiolog y Vol. 59, No. 3, 2012 human health, agriculture and native animals. It can cause 12.2-26.1% potato loss, and numbers of the fire ants are negatively correlated with potato and soybean seed yields (Adams et al. 1988, Apperson & Powell 1983). The red imported fire ant can also feed on flowers and developing fruits of citrus, and destroy young citrus trees (Banks et al. 1991). Because of its painful and allergenic stings, fire ants are a serious health threat to some people. High density of fire ant populations may make lawns lose their value (Lofgren et al. 1975). However, sometimes the fire ant is also considered as a beneficial insect in many crops. Fire ants can prey on boll weevils in cotton (Sterling 1978), and citrus leafminers in citrus trees (Zappalà et al. 2007). Although pesticides may harm nontarget animals, chemicals are effec- tive control methods reducing the population of fire ants. Chemicals are formulation as drenches and baits (Kemp et al. 2000), and baiting is an ef- fective control measure for fire ants (Lofgren & Weidhass 1972). Before bait application, the amount and density of fire ant nests and workers must be surveyed and obtained accurately. This work takes much time and manpower, especially in large areas with high fire ant density. Oi et al. (2004) utilized a GIS system to map the bait stations in fish farms, and the map can indicate the locations of fire ant nests. That method can save 43% of time compared to walking surveys. The objective of our study is to reveal the relationships among nest density, the amount of worker ants captured by bait trap, and the percentage of bait traps capturing ants. A calculation method is then designed to calculate the percentage of bait traps capturing ants to estimate the density of fire ant nests and workers in the surveyed area. This will allow more efficient surveying of fire ants. MATERIALS AND METHODS Study sites and sampling We conducted this study during April and June, 2005 in Wuchuan, Guang- dong, China. The habitat surveyed was wasteland. We chose five sites for the experiment, where densities of fire ant mound were different covering in total 2.4 hm2. The experimental sites were divided into 16 blocks with one block of about 1500 m2. Nest densities were recorded by visual observation. No. of fire ant workers were sampled by using bait traps. The sampling method is 1199 Lu, Y.-L. et al. — Correlation of Fire Ant Nest Density with Bait Traps similar to Huang et al. (2011). At each block, 25ml plastic vials containing a 5 mm thick piece of sausage was placed on the ground surface for 30 min. The number of bait traps depended on the area of site. More than 15 bait traps were put in each block. The ants captured in traps were dipped into soapy water and counted later. The amount of traps which did not trap any ants was recorded. At the same time, the number of Solenopsis invicta active nests was counted in each block. Inspections were performed twice each month, and five times in total. Statistical analysis Nest density was calculated through the nest number divided by the acreage of one block. No. of fire ant workers per bait trap was the mean of the work- ers captured by all traps in each block. Percentage of bait traps capturing fire ants in each block was presented by the ratio of the trap numbers with and without fire ants. All statistical analyses were conducted using SPSS, version 14.0 (SPSS Inc., Chicago, IL, USA). Fig. 1. Correlation of nest density with number of worker captured by bait traps. N=60.5257LnD +348.0473D+421.1183, R=0.9454, n=80, df=79, F=319.8, P<0.01. N means no. of workers captured by bait traps, and D means nest density in this function 1200 Sociobiolog y Vol. 59, No. 3, 2012 Table 1. Nest density, worker amount per bait trap, and percentage of bait traps capturing workers at wasteland, southern China. Nest density ind./m2 D No. of workers per bait trap N Percent of baits capturing workers Pe Nest density ind./m2 D No. of workers per bait trap N Percent of baits capturing workers Pe 0 0 0 0.02800 212.7 100 0.00099 13.8 15.0 0.02889 202.5 94.4 0.00105 27.0 21.1 0.03000 234.5 100 0.00167 21.4 33.3 0.03188 243.2 93.8 0.00182 18.3 31.3 0.04000 202.4 100 0.00200 20.1 50.0 0.04333 199.5 100 0.00214 29.5 57.1 0.04420 223.2 94.4 0.00222 47.2 40.7 0.05000 292.5 91.7 0.00227 51.7 45.5 0.05000 274.4 100 0.00286 68.9 61.9 0.05195 252.3 93.3 0.00333 52.9 73.3 0.05250 282.8 100 0.00441 90.2 84.6 0.05500 190.8 91.7 0.00446 84.7 65.0 0.05733 269.5 100 0.00452 70.2 66.7 0.05778 244.3 92.3 0.00500 78.3 81.3 0.05810 279.3 100 0.00519 115.2 53.8 0.06063 254.1 100 0.00556 100.1 71.4 0.06200 265.3 100 0.00667 72.3 57.1 0.06417 312.4 91.7 0.00706 122.3 76.5 0.06815 303.4 92.3 0.00752 142.4 84.6 0.07417 279.3 100.0 0.00830 113.5 76.9 0.07600 233.3 100 0.00833 194.4 58.3 0.08000 265.6 100 0.00859 162.3 75.0 0.08417 265.5 91.7 0.01000 214.2 84.6 0.08667 204.3 100.0 0.01048 150.5 90.5 0.08917 231.5 91.7 0.01064 195.8 94.4 0.09200 302.1 100 0.01200 175.3 90.9 0.09333 365.8 100 0.01311 203.6 100 0.09714 346.7 100 0.01350 164.1 93.8 0.09926 354.4 84.6 0.01364 140.5 86.7 0.10000 332.0 100 0.01417 203.2 100 0.10519 367.8 92.3 0.01773 244.6 95.0 0.11500 318.4 91.7 0.01852 186.3 80.0 0.12100 289.2 100 0.02000 233.2 100 0.12667 299.6 100 0.02229 182.2 93.8 0.13000 386.3 91.7 0.02500 208.3 84.6 0.13143 353.6 100 0.02500 169.5 100 0.13704 362.3 92.3 0.02620 178.4 94.4 0.13778 395.6 100 0.02679 264.6 100 0.13833 344.2 100 0.02750 226.9 91.7 0.14000 388.4 100 1201 Lu, Y.-L. et al. — Correlation of Fire Ant Nest Density with Bait Traps RESULTS 80 groups of data were obtained over 3 months and listed in Table 1. Fire ant nest density is presented from low to high. Fig.1 shows that the interdependence of density of Solenopsis invicta nests and mean number of ants in traps. The best fit line, a natural logarithm func- tion, N=60.53LnD +348.1D+421.1(R=0.9454, N=80, df=79, F=319.8, P<0.01), predicted the amount of workers were captured in traps as the fire ant nest density increased. The relationship suggested that growth speed of amount of ants was the fastest when the nest density varied from 0 to 0.005 ind./m2, and ant amount was over 100 ind. per trap. The growth rate decreased fewer than 2% when density of nests was over 0.017 ind./m2. A bait trap can capture more than 200 and 300 workers on average when the nest densities were over 0.023 and 0.084 ind./m2, respectively. Fig. 2 shows that the higher percentages of bait traps capturing ants were associated with higher fire ant nest density. More than 50% of the traps of the captured ants occurred in mounds with a density of 0.0032 mounds/m2. The growth percentage of the trap capturing ants was very fast. When the Fig. 2. Correlation of nest density with baits capturing workers. Pe=1/(1+exp(0.9694-309.85D)), R=0.9124, n=80, df=79, F=387.5, P<0.01. Pe means percent of baits capturing workers, and D means nest density in this function. 1202 Sociobiolog y Vol. 59, No. 3, 2012 density was over 0.018 nest/m2, the lowest percent of traps capturing ants was nearly 90%. In other words, nearly all traps can capture fire ants. And the best fit line was Pe=1/(1+exp(0.9694-309.85D)) (R=0.9124, N=80, df=79, F=387.5, P<0.01). The dynamics of worker number captured by bait trap with percent of baits capturing workers varied (Fig.3). The function, N=8.8796e0.0346Pe (R=0.8974, n=80, df=79, F=137.8, P<0.01) could describe the relationship between the two variables. First, the number of worker ants per trap increased gradually with trap percent progressing under 50% by which they increased sharply with trap percent over 70~80%. The worker amounts were about 50, 100, and 200 ants per trap when the trap percent were 50%, 70% and 90%, respectively. DISCUSSION The results indicate a correlation between the density of fire ant nests, amount of foraging workers per trap, and percentage of bait traps capturing ants. We can estimate the amount of fire ant nests, and workers in surveyed area by bait trap sampling according to the functions described. The results Fig. 3 Correlation of worker number captured by bait trap with baits capturing workers. N=8.8796e0.0346Pe, R=0.8974, n=80, df=79, F=137.8, P<0.01. N means no. of workers captured by bait traps, and Pe means percent of baits capturing workers in this function. 1203 Lu, Y.-L. et al. — Correlation of Fire Ant Nest Density with Bait Traps can be not only be used in monitoring fire ants, but also in controlling them. Estimating fire ant density can guide how much pesticide bait should be used, and promote the efficiency of pesticide utilization. Bait trap sampling is an important method in ant sampling (Briano et al. 2002), and it can be utilized to determine whether an area contains active fire ant mounds (Oi et al. 2004). Currently, pesticide bait is still an effective control method for fire ants (Williams et al. 2001), especially in countries and regions newly invaded by fire ants. Before baits are spread, the population of fire ants must be surveyed and located. The time required to perform a walking survey to marked nests was 2.8 person-h (Oi et al. 2004). In comparison, the bait trap sampling method only required 1 person-h. Significant time can be saved by using the bait trap sampling method when controlling a large fire ant population. This method is faster than that decribed by Oi et al (2004). In sampling, advanced technologies are needed. Bao et al.(2011) designed a new hotdog-baited trap (B-trap) to detect red imported fire ants under field conditions in Taiwan and demonstrated the B-trap was more efficientthan other methods. There needs to be a simple index to assess the occurrence and severity of fire ants, especially for pest management enterprises. Adams et al. (1986) reported that the economically significant threshold of fire ants is 80 fire ant workers per trap in average. In our investigation, about 50% and 100% of traps could capture ants when the mean density exceeded 0.0032, and 0.02 ind. per m2, respectively. This observation suggests that the percent- age and density are key data in evaluating whether fire ants are widespread or severe. Our research could aid development of a standard in classifying hazard rating of Solenopsis invicta. ACKNOWLEDGMENTS We would like to thank Jun Huang and Shenlei Li for observations and records. 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