Species distributions models (SDMs) rely on accurate climatic data to predict the potential ranges of species, however, climatic datasets are often based on interpolations between weather stations. In regions where stations are scarce, such as the tropics, modelling can therefore be problematic.
Combining GBIF-mediated occurrences with data from a novel database, the Global Naturalized Alien Flora (GloNAF), this study seeks to identify and quantify the spread and distribution of naturalized plant species worldwide.
By focusing on a portion of Europe that includes Great Britain, France, Belgium and the Netherlands, this study examines the influence of environmental and anthropogenic factors on global distribution of invasive species.
This study combines DNA analysis of present-day Pacific gray whales and fossils—including newly reported specimens from the North Sea—with predictive habitat models to suggest the usefulness of keeping watch for future climate-driven dispersals of this Arctic sentinel species.
The increasing availability of high quality occurrence and abundance data at the species level accompanied by many environmental data layers has boosted the developments in species distribution modeling (SDM).