Quantitative Analysis of Plant Population Quantity and Species Adaptation to Drought Based on Differential Dynamics Model

Abstract

To address the impact of drought on species changes in plant communities, first, based on the weather data obtained in Area A, a Markov weather prediction model was constructed to simulate the changes in irregular weather in that area, and the probability of drought was found to be 54.73%. Then, a differential dynamics model was established to simulate the changes in plant populations, and ultimately the population changes with weather were obtained. Secondly, an optimization model was constructed from the population number to the total number of plants, and the optimal population number was obtained through numerical simulation. Thirdly, under the condition that other factors remain unchanged, the species number charts with weather changes are simulated, and the impact of different species types on the environment is analyzed. Thirdly, based on the above weather change results, increase or decrease the probability of dry weather factors, and obtain a change map of the number of species to analyze the impact on the environment. The research shows that when the pollution is light, the plant community will not be greatly affected, while when the pollution is serious, the plant population will degenerate. When habitat decreases, the growth rate of plant communities slows down.