Modeling Of Giant Panda Population Characteristics Based On Multi-Environment Membrane System

Membrane Computing is a new branch of the field of natural computing.Its computational model is a distributed and parallel computing model abstracted from the structure and function of living cells or the collaboration of cell groups.It has significant characteristics such as discreteness,uncertainty,expansibility and modularity.Giant panda is the flagship species of China's national treasure and the world's biodiversity conservation,which has attracted extensive attention from researchers,including the number of giant pandas,age composition and various factors causing population dynamic changes.These studies are of great significance for the management and research of giant pandas.Different from the shortcoming of traditional mathematical methods,membrane system,because of its inherent distributed structure and parallel computing mode,can meet the requirements of complex ecosystem modeling,and has become a new choice in the field of ecosystem population dynamics research.At present,researchers have constructed some dynamic models of giant panda population based on membrane system,but the existing models are all about the study of giant panda population in a single environment,lacking the study of the communication mechanism between different environmental populations.The genetic diversity of giant panda is the key factor to evaluate the survival of giant panda species,and the genetic communication among different environmental giant panda populations is the key to improve the genetic diversity of giant panda.Therefore,the study on the communication mechanism between giant panda populations is of great significance.Therefore,this paper uses the multi-environment membrane system to research and analyze the giant panda ecosystem.The main work and research results are as follows:1.Simply analyze the design method of the population dynamic modeling for giant pandas and simulation implementation.2.Construct a multi-environment membrane system model of the population dynamic characteristics of giant pandas.Modeling steps are as follows: firstly,we introduce and analyze the feasibility and superiority of the designed system applied to giant panda population dynamics model.Then,based on the data of giant panda pedigree,we analyze the evolutionary behaviors of the population of giant pandas in GPBB and CCRCGC environments,and construct multi-environmental membrane system model of two regions.Finally,the validity and feasibility of the multi-environment membrane system model were verified by experiments,and the robustness of the model was also analyzed.3.Analyze the main parameters influencing the number of individuals in the constructed model and introduce a parameter uncertainty factor analysis method to a multi-environment membrane system.Firstly,based on the model designed in the previous chapter,the main parameters,for instance,mortality,birth rate and communication rate are analyzed.Secondly,according to some uncertain factors including the environmental stochasticity,demographic stochasticity and parameter estimation in giant panda ecosystem and modeling process,we propose a parameter uncertainty factor analysis method for multi-environment membrane system,and design a multi-environment membrane model of giant panda population based on parameter uncertainty factor analysis method.Finally,the feasibility and effectiveness of the parameter uncertainty factor analysis method get verified.