As part of the second project phase of the FEdA Central Coordination, the project ‘Continuous AI-based Biodiversity Assessments for Germany (KIBA-D)’ is researching the foundations for an AI-based system in which DFKI AI experts in the field of Large Language Models, together with biodiversity experts from the Faktencheck Artenvielfalt and the FEdA consortium, will use the Faktencheck Artenvielfalt corpus to train AI models that can extract relevant data on biodiversity trends, causal relationships, and assessments of the effectiveness of instruments and measures from digitally available text information. In additional steps, the corpus will be expanded significantly, and the quality of the AI-based results will be analyzed jointly by biodiversity and AI experts. For this purpose, a workflow for AI-supported extraction of biodiversity-relevant information from text sources, a crawling solution for locating and collecting additional sources, and LLM-based extraction models for the various analysis tasks will be developed.