Analysis and Evaluation of Species Invasion

Abstract

Invasive species, like dandelions, threaten biodiversity and bring economic and ecological risks. It is important to evaluate whether they are beneficial and their interactions with local species. This article stimulates the occurrence of invasion, evaluates the influencing factors of three species, and finally provides their invasive ranking. We used the Vensim model to dynamically simulate the intrusion process and supplemented it with an Agent Based Model (ABS). Under all other conditions, we found that for every 10% increase in birth rate, the number of dandelions increases by nearly 20%. We construct an Analytical Hierarchy Process (AHP) model to calculate the impact factor for different species. Our models have passed sensitivity tests. The model deepens our understanding of the dynamic process of species invasion and provides a theoretical framework for the identification and control of invasive species. In the future we will improve the models by collecting more comprehensive meteorological data to demonstrate the impact of seasons on seeding processes and try to displace number of Google search results to surveys on ecology experts to promote the scientific basis of our impact factor.