. Deterministic model for simulating the predation of Toxorhynchites rutilus rutilus on Aedes aegypti. Mathematical models; Mosquitoes, Control, Biological control, United States. Scaling factors 1-DISTBN DISTBN 121 daily mortality Ae. aegypti onTy () Both spec ies (*0 Tx. r. rut i1 us adults S31 4 7", 12% daily mortality Nc i the r species (). (: Figure 3.—Predator and prey distribution in containers. Percentages in parentheses refer to frequency of each typt of container when 53% are positive for Aedes aegypti and 80% are positive for Toxorhynchites rutilus rutilus. fro
. Deterministic model for simulating the predation of Toxorhynchites rutilus rutilus on Aedes aegypti. Mathematical models; Mosquitoes, Control, Biological control, United States. Scaling factors 1-DISTBN DISTBN 121 daily mortality Ae. aegypti onTy () Both spec ies (*0 Tx. r. rut i1 us adults S31 4 7", 12% daily mortality Nc i the r species (). (: Figure 3.—Predator and prey distribution in containers. Percentages in parentheses refer to frequency of each typt of container when 53% are positive for Aedes aegypti and 80% are positive for Toxorhynchites rutilus rutilus. from oviposition into containers devoid of prey and since one type of container produces neither species, these containers are not specifically mod- eled in the program but are accounted for with scaling factors (fig. 3). To represent the salient features of the interaction in the field and to represent the resulting Ae. aegypti adult density, two containers, both positive for Ae. aegypti, are included in the model. Only one of these is inter- faced with the predator subroutine. Ae. aegypti eclosion and Tx. r. rutilus oviposition are scaled by factors of DISTBN and AEDIST, respective- ly, to depict the frequency of the two containers in the field. Because of the scaling factors, the numbers of Ae. aegypti and Tx. r. rutilus adults are in terms of one container, and multiplying the output of adults by the number of containers per area gives an absolute population estimate. RESULTS OF SIMULATION Figures 4 and 5 represent model-generated Ae. aegypti adult densities per container for no-rain and daily-rain-into-every-container situations, re- spectively. Figures 6 and 7 depict the correspond- ing total number of Ae. aegypti immatures per container for the two rainfall situations. In each instance and in all subsequent simulation runs, the model program was initialized on day 1 with 1-day-old adult Ae. aegypti. The resulting numbers within each stage were largely inde. Please not
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