engleski

Uncertainty analysis of available spatial data on invasive plants

Chorological data (species records) of invasive plant species are often used in developing species distribution models with goals of determining the distribution of species and implementing successful management measures. The spatial accuracy of records varies based on the methods used during the mapping process. It has been established that low spatial accuracy is a source of uncertainty in environmental modelling and can lead to faulty models. In this study spatial records of four different spatial precision levels were taken from Flora Croatica Database for six invasive plant species in Croatia. Habitats and environmental data were joined to species records and tested if spatial accuracy affects habitat preferences and ecological profile of species. Data were joined in QGIS and statistical analysis included descriptive statistics followed by one-way ANOVA with Tukey post-hoc test for testing the ecological profile and Friedman ANOVA followed by Wilcoxon Matched Pairs test for testing the habitat preference. The results show that lower spatial accuracy generally influences the habitat preferences and ecological profile. However, the effect of spatial precision greatly varies across species and variables and it should be tested before choosing the entry data for developing a species distribution model.

chorological data, spatial precision, invasive plants, Croatia

nije evidentirano