| Summary: | 碩士 === 臺灣大學 === 地理環境資源學研究所 === 98 === Ecological niche modeling combined with a geographic information system can model and display the spatial distributions of species efficiently. Species’ spatial distributions are the result of dynamic interactions between species and environmental factors. However, the complexity and uncertainty due to the interplay of ecosystem and species can cause difficulties when an individual model is used for the assessment purpose. Therefore, the multi-modeling assessment approach is proposed in this study. We combined various modeling techniques and records of known species occurrences with digital layers of environmental variables to predict species’ probability distributions over broad areas. This study aims to explore the native habitat characteristics of Polygonum Cuspidatum Sieb. & Zucc. (Japanese knotweed) in Taiwan, which has seriously invaded North America and Europe. This study applies three widely-used ecological niche models, GARP (Genetic Algorithm for Ruleset Prediction), MAXENT (Maximum Entropy Method) and logistic regression, with 20 environmental variables to predict the potential distribution of Japanese knotweed in Taiwan. Further, the results are compared between the models, and an optimum combination of habitat characteristics of the species is derived from intersecting the models.
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