Study on the reduction of illegal wildlife trade based on data prediction

Abstract

Wildlife is an important part of all life and natural ecosystem on earth, and their living conditions are closely related to the sustainable development of human beings. The current disorderly use has made the illegal wildlife trade become the third largest crime in the world, seriously affecting biodiversity, ecosystem service function, global social order and public security, and wildlife welfare. In recent years, the illegal wildlife trade involves as much as $26.5 billion a year and is considered the fourth largest illegal trade in the world, protection of wildlife has become a top priority. In order to obtain the method to effectively reduce the illegal wildlife trade and predict the change trend of illegal wildlife trade in the next five years,based on this background, this paper uses the collected data and the AHP hierarchical analysis, GM (1,1) model to construct the model of illegal wildlife trade research in the next five years.