Effects of Irregular Climate Environment on Plant Community Diversity——BP neural network model based on gray prediction optimization

Abstract

Plant communities play a vital role in the ecological environment. In order to explore the relationship between drought adaptability and the number of species in the plant community, this paper discusses the survival ability of the plant community in a drought environment by constructing a neural network model, and studies and discusses the impact of the interspecific relationship of the plant community on survival. First, we found a positive correlation among the species in community Ⅱ through multiple regression model. Second, we quantify the concept of plant community into time-series data. Under the premise of considering the interaction between species, a BP neural network model based on gray prediction optimization was established to obtain the change law of species diversity index over time under different regular weather conditions. Finally, two concepts of species number and species type are introduced. The stability of the model was tested by changing the size of the species number and exchanging the dominant species among the communities.