Presentation Information
[POS-06]Evaluation of Energy Efficiency and Adaptive Strategies in Mimosa pudica L. via Mathematical Modeling Analysis
*Kazuhiro Komatsu1 (1. Suwa Seiryo High School, Nagano (Japan))
Keywords:
Mimosa Pudica L.,Stimulus adaptation,Mathematical modeling,Energy effciency,Adaptation strategy
Background and Objectives
Mimosa pudica L. quickly reacts to harmless stimuli and then adapts to suppress further responses, conserving energy. Prior studies showed that a 15cm drop repeated 60 times and a 5second micro-vibration at 250 r.p.m. reduce the plant’s response by ~50% to vertical stimuli and ~70% to horizontal stimuli (Gagliano et al., 2014). Based on these findings, this study constructs a mathematical model to quantitatively analyze stimulus response and adaptation from an energy balance perspective, evaluating the adaptive strategy of Mimosa pudica L.
Model Overview
The model continuously updates an individual’s adaptation level, A(t), immediately after each stimulus. It combines the day’s energy intake-based on the previous day’s photosynthetic output, E(t-1)-with various response costs: damage when reacting (Dr), damage when not reacting (Dn), response cost (Cr), and learning cost (Ca). Additionally, the model incorporates parameters such as the average number of pest stimuli per day (Gi), harmless dummy stimuli per day (Gd), adaptation increment per stimulus (Ga), adaptation retention period (T), and maximum adaptation level (Amax) to capture individual response characteristics and their impact on energy balance.
Simulation and Sensitivity Analysis
Simulations show that extending the adaptation retention period (T) enhances energy yield, while more frequent harmless dummy stimuli decrease overall yield due to adaptation costs. Further simulations using sine curve-modeled stimulus variations to mimic seasonal fluctuations confirm that Mimosa pudica L. minimizes unnecessary energy expenditure while enabling rapid responses when needed.
Significance and Future Prospects
This mathematical model is a valuable tool for understanding the complex stimulus response and adaptation mechanisms of Mimosa pudica L. By clarifying the relationship between energy balance and cost parameters, it offers insights into how plants optimize energy use while adapting to environmental changes. Future work will refine the model, gather additional data, compare similar mechanisms in other species, and investigate energy dynamics under prolonged stress. Integrating image recognition for quantifying leaf movement with stimulus devices will further validate the model.
Mimosa pudica L. quickly reacts to harmless stimuli and then adapts to suppress further responses, conserving energy. Prior studies showed that a 15cm drop repeated 60 times and a 5second micro-vibration at 250 r.p.m. reduce the plant’s response by ~50% to vertical stimuli and ~70% to horizontal stimuli (Gagliano et al., 2014). Based on these findings, this study constructs a mathematical model to quantitatively analyze stimulus response and adaptation from an energy balance perspective, evaluating the adaptive strategy of Mimosa pudica L.
Model Overview
The model continuously updates an individual’s adaptation level, A(t), immediately after each stimulus. It combines the day’s energy intake-based on the previous day’s photosynthetic output, E(t-1)-with various response costs: damage when reacting (Dr), damage when not reacting (Dn), response cost (Cr), and learning cost (Ca). Additionally, the model incorporates parameters such as the average number of pest stimuli per day (Gi), harmless dummy stimuli per day (Gd), adaptation increment per stimulus (Ga), adaptation retention period (T), and maximum adaptation level (Amax) to capture individual response characteristics and their impact on energy balance.
Simulation and Sensitivity Analysis
Simulations show that extending the adaptation retention period (T) enhances energy yield, while more frequent harmless dummy stimuli decrease overall yield due to adaptation costs. Further simulations using sine curve-modeled stimulus variations to mimic seasonal fluctuations confirm that Mimosa pudica L. minimizes unnecessary energy expenditure while enabling rapid responses when needed.
Significance and Future Prospects
This mathematical model is a valuable tool for understanding the complex stimulus response and adaptation mechanisms of Mimosa pudica L. By clarifying the relationship between energy balance and cost parameters, it offers insights into how plants optimize energy use while adapting to environmental changes. Future work will refine the model, gather additional data, compare similar mechanisms in other species, and investigate energy dynamics under prolonged stress. Integrating image recognition for quantifying leaf movement with stimulus devices will further validate the model.