Many invasive plant species have not yet filled their potentially suitable habitat. This is what geographers at Leipzig University established in a recent simulation study. They coupled different data sets to predict the probability of occurrence of selected invasive plant species for any location in Germany. "Using satellite imagery to divide Germany into quadrants, I remotely sensed the whole country. Environmental data was determined for each of these quadrants, meaning information about soil type, land use, climate and elevation data, information about infrastructure and existing plant communities." Based on this data, various machine learning techniques were used to calculate whether the respective species would be able to spread in the defined quadrants and thus in certain parts of Germany. Sittaro created these scenarios for current and future climate conditions up to the year 2080. The distribution data was taken from the FlorKart database for the floristic mapping of Germany and from the Natura2000 European network of protected areas.
