Predicting the Habitat for Alien Species based on GIS

Invasive organisms have broken the ecosystems around the world, and the economic losses are huge. It is vital to actively respond to the invasion of harmful organisms and protect the ecological environment in which we live. Predicting the habitats for alien species by using species distribution model is the most economical and effective preventive measure to prevent invasive species' occurrence and harm. By the prediction model of the biological climate similar model, namely, using the climatological data and the biological parameters of the origin of invasive species predicts global habitat so as to determine the scope of the invasion of alien species. In this study, the application Software for predicting the habitat for alien species were developed using C# (programming language) and GIS' secondary developing module---ArcGIS Engine. The experimental results have been verified, AUC value is 0.91.The case study of Pterygoplichthy spardalis, according to Pterygoplichthys pardalis'biological parameters and climatological data of the origin in South America, predicts the globally suitable areas. The research has shown that in addition to the origin of South America, North America countries such as Guatemala, Central African countries such as Gabon, Congo, the southern part of India, Thailand and Burma, Midwestern Indonesia, south Asian countries such as Malaysia and the Philippines are the high incidence area of the Pterygoplichthys pardalis' invasion. It provides the scientific basis for quarantine department of animals and plants in a timely manner to take corresponding measures to control the further spread of the Pterygoplichthys pardalis.