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Butterfly-Wasp ModelSaturday, November 9, 2019
Designed by Huisheng Zhu, Ran Tao, and Zeman Li
Coach: Christina Lee
Overview
Restatement of the Problem
Assumptions
Model Design
Models
Simulation, Results & Analysis
Conclusion
Restatement
of Our
Problem
Female butterfly's pheromone release attracts
many males (P. Brassicae)
Male butterfly release a chemical signal called
“anti-aphrodisiacs " to disrupt other males
Wasps, the butterfly egg parasitoid, could
detect the A.A.
When a female butterfly has a higher level of
A.A., Wasps are more likely to find and eat their
eggs
Our
assumptions
1. This is an idealized
ecosystem focusing solely on wasps
and butterflies.
2. All wasps possess the
same parasitic strategy
3. Ratio of female P. brassicae to male
P. brassicae is 1:1 and probability of
giving birth to a male progeny is 50%.
Model Design
What is Best for the system? What
is likely to happen in the long run?
Goal: find α (the amount of a.a.
secreted by one male butterfly) to
maximize B (butterfly population) in
the long run
• The established Lotka-Volterra Model fits
well into our simulated situation of the
competition between butterflies and
wasps
• Based on the classic LV Model, we
introduce the influence of anti-
aphrodisiacs
• 𝑑 𝑊 = 0.57 (Southon et al., 2015)
𝑑𝐵
𝑑𝑡
= 𝑔 𝐵 𝐵 1 −
𝐵
𝐾 𝐵
− 𝑓1 𝐵𝑊 (1)
𝑑𝑊
𝑑𝑡
= −𝑑 𝑊 𝑊 1 +
𝑊
𝐾 𝑊
+ 𝑓2 𝐵𝑊 2
Model Design
𝑔 𝐵 = 𝑔 𝐵0 1 + 𝑚𝛼
𝑔 𝐵 = 0.348 1 + 0.5𝛼
Interactions of Male & Female P. brassicae
• 𝑔 𝐵0: the natural growth rate of butterflies without a.a. =
0.348 (Southon et al., 2015)
• 𝑚: the effectiveness of a.a. in helping female butterflies lay
their eggs
• α: the amount of a.a. secreted by one male butterfly (𝜇𝑔)
• 𝑔 𝐵: the growth rate of butterflies with a.a.
Interactions of Butterflies & Parasitic Wasps
𝑓1 = 𝑓10 1 + ℎ𝛼
𝑓2 = 𝑓20 1 + ℎ𝛼
• 𝑓10 : butterflies’ natural mortality factor without a.a.
• h: the effectiveness of a.a. in helping wasps eat the eggs = 0.5
(Fatouros et al., 2005)
• α: the amount of a.a. secreted by one male butterfly (𝜇𝑔)
• 𝑓1: butterflies’ mortality factor by supplying eggs to wasps
• 𝑓20: wasps’ natural growth factor without a.a.
• 𝑓2: wasps’ growth factor by consuming host butterfly eggs
𝑓1 = 0.01 1 + 0.5𝛼
𝑓2 = 0.005 1 + 0.5𝛼
𝑑𝐵
𝑑𝑡
= 0.348 1 + 0.5𝛼 𝐵 1 −
𝐵
6000
− 0.01(1 + 0.5𝛼) 𝐵𝑊
𝑑𝑊
𝑑𝑡
= −0.57𝑊 1 +
𝑊
3000
+ 0.005 1 + 0.5𝛼 𝐵𝑊
The Model
Initial conditions
𝐵 0 = 2000
𝑊 0 = 500
Simulation, Results & Analysis
Alpha = 0
Simulation, Results & Analysis
Characteristics of Our
Simulation (h = 0.5, alpha = 0)
• Butterfly reaches its
minimum around Day 5
• As the wasp population
remains at a high level,
butterfly population starts to
recover
• A cyclical repeat
• Equilibrium population or
fixed point 0 20 40 60 80
time (Days)
0
200
400
600
800
1000
1200
1400
1600
1800
2000
TheTotalPopulation
The Total Population of Spices With Respect to Time
The Total Population of Butterfly
The Total Population of Wasp
600 800 1000 1200 1400 1600 1800 2000
The Total Population of Butterfly
100
200
300
400
500
600
700
TheTotalPopulationofWasp
The Ratio Between Population of Butterfly and Wasp
Simulation, Results & Analysis
Alpha = 0.78
Simulation, Results &
Analysis
• Explanation
• When h change from from 0.5
to 0.05, the alpha of
maximum equilibrium
population change from 0 to
0.78
• Possible explanation from the
viewpoint of evolution
"Interestingly, this behavior is
innate in T. brassicae, whereas T.
evanescens learns it after one
successful ride on a mated female
butterfly" (Huigens et al., 2010).
Alpha = 0.78
Alpha = 0
Additional Issues
• Additional Change 1 - when we introduces a new predator on both butterflies and the wasps?
In LV models, if we have animals more than two, we could use the following equation:
𝑑𝑥 𝑖
𝑑𝑡
= 𝑟𝑖 𝑥𝑖 1 − 𝑖=1
𝑖=𝑁
𝛼 𝑖𝑗 𝑥 𝑗
𝑀 𝑖
where 𝑟𝑖 denotes the birth rate of animal 𝑥𝑖, 𝛼𝑖𝑗 denotes the relative impact of animal 𝑥𝑗 on the growth of anima
𝑥𝑖, and 𝑀𝑖 denotes the carry capacity of animal 𝑥𝑖
In this simulation, we get the equations as follows: we assume the third animal is bird and denotes its population
with D, the natural death rate of the birds is 𝑑 𝑑, and the ecosystem’s carrying capacity of birds is 𝐾 𝑑. The
bird’s impact on butterflies is 𝑓3 and the bird’s impact on wasps' impact is 𝑓4.
𝑑𝐵
𝑑𝑡
= 𝑔 𝐵 𝐵 1 −
𝐵
𝐾 𝐵
− 𝑓1 𝐵𝑊 − 𝑓3 𝐷𝐵 (1)
𝑑𝑊
𝑑𝑡
= −𝑑 𝑊 𝑊 1 +
𝑊
𝐾 𝑊
+ 𝑓2 𝐵𝑊 − 𝑓4 𝐷𝑊 (2)
𝑑𝐷
𝑑𝑡
= −𝑑 𝐷 𝐷 1 +
𝐷
𝐾 𝐷
+ 𝑓3 𝐷𝐵 + 𝑓4 𝐷𝑊(3)
Additional Issues
• Additional Change 2 - when we
introduces a new predator on both
butterflies and the wasps?
• Female butterfly’s strategy depends on the trade-
offs of releasing anti-aphrodisiac.
• Under condition that h = 0.5, female prefers to
mate with males that have low propensity to
releasing a.a.
• Under condition that h = 0.05, when alpha range
from 0 to 0.78, female prefers to mate with the
male that higher propensity to release a.a.
Alpha range from 0 to 0.78
Alpha = 0
Additional Issues
• Additional Change 3 – what if effectiveness of a.a. depends on time of day?
Initial conditions
𝐵 0 = 2000
𝑊 0 = 500
𝑑𝐵
𝑑𝑡
= 0.348 1 + 𝑚(𝑡)𝛼 𝐵 1 −
𝐵
6000
− 0.01(1 + ℎ(𝑡)𝛼) 𝐵𝑊
𝑑𝑊
𝑑𝑡
= −0.57𝑊 1 +
𝑊
3000
+ 0.005 1 + ℎ(𝑡)𝛼 𝐵𝑊
Reference
• Huigens, M. E., Woelke, J. B., Pashalidou, F. G., Bukovinszky, T., Smid, H.
M., & Fatouros, N. E. (2010). Chemical espionage on species-specific
butterfly anti-aphrodisiacs by hitchhiking Trichogramma wasps. Behavioral
Ecology, 21(3), 470-478.
• Southon, R. J., Bell, E. F., Graystock, P., & Sumner, S. (2015). Long live
the wasp: adult longevity in captive colonies of the eusocial paper
waspPolistes canadensis(L.). PeerJ, 3. doi: 10.7717/peerj.848
•Fatouros, N. E., Huigens, M. E., Loon, J. J. A. V., Dicke, M., & Hilker, M.
(2005). Butterfly anti-aphrodisiac lures parasitic wasps. Nature, 433(7027),
704–704. doi: 10.1038/433704a
THE END

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Butterfly Wasp Model

  • 1. Butterfly-Wasp ModelSaturday, November 9, 2019 Designed by Huisheng Zhu, Ran Tao, and Zeman Li Coach: Christina Lee
  • 2. Overview Restatement of the Problem Assumptions Model Design Models Simulation, Results & Analysis Conclusion
  • 3. Restatement of Our Problem Female butterfly's pheromone release attracts many males (P. Brassicae) Male butterfly release a chemical signal called “anti-aphrodisiacs " to disrupt other males Wasps, the butterfly egg parasitoid, could detect the A.A. When a female butterfly has a higher level of A.A., Wasps are more likely to find and eat their eggs
  • 4. Our assumptions 1. This is an idealized ecosystem focusing solely on wasps and butterflies. 2. All wasps possess the same parasitic strategy 3. Ratio of female P. brassicae to male P. brassicae is 1:1 and probability of giving birth to a male progeny is 50%.
  • 5. Model Design What is Best for the system? What is likely to happen in the long run? Goal: find α (the amount of a.a. secreted by one male butterfly) to maximize B (butterfly population) in the long run
  • 6. • The established Lotka-Volterra Model fits well into our simulated situation of the competition between butterflies and wasps • Based on the classic LV Model, we introduce the influence of anti- aphrodisiacs • 𝑑 𝑊 = 0.57 (Southon et al., 2015) 𝑑𝐵 𝑑𝑡 = 𝑔 𝐵 𝐵 1 − 𝐵 𝐾 𝐵 − 𝑓1 𝐵𝑊 (1) 𝑑𝑊 𝑑𝑡 = −𝑑 𝑊 𝑊 1 + 𝑊 𝐾 𝑊 + 𝑓2 𝐵𝑊 2 Model Design
  • 7. 𝑔 𝐵 = 𝑔 𝐵0 1 + 𝑚𝛼 𝑔 𝐵 = 0.348 1 + 0.5𝛼 Interactions of Male & Female P. brassicae • 𝑔 𝐵0: the natural growth rate of butterflies without a.a. = 0.348 (Southon et al., 2015) • 𝑚: the effectiveness of a.a. in helping female butterflies lay their eggs • α: the amount of a.a. secreted by one male butterfly (𝜇𝑔) • 𝑔 𝐵: the growth rate of butterflies with a.a.
  • 8. Interactions of Butterflies & Parasitic Wasps 𝑓1 = 𝑓10 1 + ℎ𝛼 𝑓2 = 𝑓20 1 + ℎ𝛼 • 𝑓10 : butterflies’ natural mortality factor without a.a. • h: the effectiveness of a.a. in helping wasps eat the eggs = 0.5 (Fatouros et al., 2005) • α: the amount of a.a. secreted by one male butterfly (𝜇𝑔) • 𝑓1: butterflies’ mortality factor by supplying eggs to wasps • 𝑓20: wasps’ natural growth factor without a.a. • 𝑓2: wasps’ growth factor by consuming host butterfly eggs 𝑓1 = 0.01 1 + 0.5𝛼 𝑓2 = 0.005 1 + 0.5𝛼
  • 9. 𝑑𝐵 𝑑𝑡 = 0.348 1 + 0.5𝛼 𝐵 1 − 𝐵 6000 − 0.01(1 + 0.5𝛼) 𝐵𝑊 𝑑𝑊 𝑑𝑡 = −0.57𝑊 1 + 𝑊 3000 + 0.005 1 + 0.5𝛼 𝐵𝑊 The Model Initial conditions 𝐵 0 = 2000 𝑊 0 = 500
  • 10. Simulation, Results & Analysis Alpha = 0
  • 11. Simulation, Results & Analysis Characteristics of Our Simulation (h = 0.5, alpha = 0) • Butterfly reaches its minimum around Day 5 • As the wasp population remains at a high level, butterfly population starts to recover • A cyclical repeat • Equilibrium population or fixed point 0 20 40 60 80 time (Days) 0 200 400 600 800 1000 1200 1400 1600 1800 2000 TheTotalPopulation The Total Population of Spices With Respect to Time The Total Population of Butterfly The Total Population of Wasp 600 800 1000 1200 1400 1600 1800 2000 The Total Population of Butterfly 100 200 300 400 500 600 700 TheTotalPopulationofWasp The Ratio Between Population of Butterfly and Wasp
  • 12. Simulation, Results & Analysis Alpha = 0.78
  • 13. Simulation, Results & Analysis • Explanation • When h change from from 0.5 to 0.05, the alpha of maximum equilibrium population change from 0 to 0.78 • Possible explanation from the viewpoint of evolution "Interestingly, this behavior is innate in T. brassicae, whereas T. evanescens learns it after one successful ride on a mated female butterfly" (Huigens et al., 2010). Alpha = 0.78 Alpha = 0
  • 14. Additional Issues • Additional Change 1 - when we introduces a new predator on both butterflies and the wasps? In LV models, if we have animals more than two, we could use the following equation: 𝑑𝑥 𝑖 𝑑𝑡 = 𝑟𝑖 𝑥𝑖 1 − 𝑖=1 𝑖=𝑁 𝛼 𝑖𝑗 𝑥 𝑗 𝑀 𝑖 where 𝑟𝑖 denotes the birth rate of animal 𝑥𝑖, 𝛼𝑖𝑗 denotes the relative impact of animal 𝑥𝑗 on the growth of anima 𝑥𝑖, and 𝑀𝑖 denotes the carry capacity of animal 𝑥𝑖 In this simulation, we get the equations as follows: we assume the third animal is bird and denotes its population with D, the natural death rate of the birds is 𝑑 𝑑, and the ecosystem’s carrying capacity of birds is 𝐾 𝑑. The bird’s impact on butterflies is 𝑓3 and the bird’s impact on wasps' impact is 𝑓4. 𝑑𝐵 𝑑𝑡 = 𝑔 𝐵 𝐵 1 − 𝐵 𝐾 𝐵 − 𝑓1 𝐵𝑊 − 𝑓3 𝐷𝐵 (1) 𝑑𝑊 𝑑𝑡 = −𝑑 𝑊 𝑊 1 + 𝑊 𝐾 𝑊 + 𝑓2 𝐵𝑊 − 𝑓4 𝐷𝑊 (2) 𝑑𝐷 𝑑𝑡 = −𝑑 𝐷 𝐷 1 + 𝐷 𝐾 𝐷 + 𝑓3 𝐷𝐵 + 𝑓4 𝐷𝑊(3)
  • 15. Additional Issues • Additional Change 2 - when we introduces a new predator on both butterflies and the wasps? • Female butterfly’s strategy depends on the trade- offs of releasing anti-aphrodisiac. • Under condition that h = 0.5, female prefers to mate with males that have low propensity to releasing a.a. • Under condition that h = 0.05, when alpha range from 0 to 0.78, female prefers to mate with the male that higher propensity to release a.a. Alpha range from 0 to 0.78 Alpha = 0
  • 16. Additional Issues • Additional Change 3 – what if effectiveness of a.a. depends on time of day? Initial conditions 𝐵 0 = 2000 𝑊 0 = 500 𝑑𝐵 𝑑𝑡 = 0.348 1 + 𝑚(𝑡)𝛼 𝐵 1 − 𝐵 6000 − 0.01(1 + ℎ(𝑡)𝛼) 𝐵𝑊 𝑑𝑊 𝑑𝑡 = −0.57𝑊 1 + 𝑊 3000 + 0.005 1 + ℎ(𝑡)𝛼 𝐵𝑊
  • 17. Reference • Huigens, M. E., Woelke, J. B., Pashalidou, F. G., Bukovinszky, T., Smid, H. M., & Fatouros, N. E. (2010). Chemical espionage on species-specific butterfly anti-aphrodisiacs by hitchhiking Trichogramma wasps. Behavioral Ecology, 21(3), 470-478. • Southon, R. J., Bell, E. F., Graystock, P., & Sumner, S. (2015). Long live the wasp: adult longevity in captive colonies of the eusocial paper waspPolistes canadensis(L.). PeerJ, 3. doi: 10.7717/peerj.848 •Fatouros, N. E., Huigens, M. E., Loon, J. J. A. V., Dicke, M., & Hilker, M. (2005). Butterfly anti-aphrodisiac lures parasitic wasps. Nature, 433(7027), 704–704. doi: 10.1038/433704a