Multispecies Deep Learning Using Citizen Science Data Produces More Informative Plant Community Models

This article discusses the use of deep neural networks (DNNs) and citizen science data to map the spatiotemporal distributions of thousands of plant species in Switzerland. The results show that multispecies DNNs are more accurate than traditional approaches and can also provide insights into understudied aspects of ecology. Additionally, the DNNs can be used to predict future changes in species distributions and dominance.