An evaluation of stringent filtering to improve species distribution models from citizen science data

Aim Citizen science data are increasingly used for modelling species distributions because they offer broad spatiotemporal coverage of local observations. However, such data are often collected without experimental design or set survey methods, raising the risk that bias and noise will compromise mo...

Ausführliche Beschreibung