HYDROCARB produced several high-impact outcomes, some of them not anticipated at the start of the project. Uncertainty in HYDROCARB data forced us to explore the global isotopes in precipitation database (GNIP) with statistical methods, including machine learning algorithms, to create such a product. The outcome of this work is the PISO.AI model that is feely available online (
https://isotope.bot.unibas.ch/PisoAI/(si apre in una nuova finestra)) and can simulate back to 1950 monthly precipitation δ2H and δ18O values for any given location in Europe. The development of this model advanced the field significantly, because it allows for the first time to base the interpretation of δ2H and δ18O values in plants on precise and accurate background precipitation δ2H and δ18O values. This has implications for the application of these signals in plant ecology, paleoclimatology and forensic sciences.
The combination of papers that we published from the HYDROCARB project addressing the biochemical fractionation factors that determine the hydrogen isotope composition of plants and to establish the link between environmental forcing, a plant's carbohydrate metabolism, biochemical pathways and the δ2H values of plant-derived organic compounds can also be regarded significant achievements. These studies have much advanced the mechanistic understanding of what drives the hydrogen isotope composition of plant materials and what physiological processes they reflect. We are preparing a comprehensive review paper for the journal New Phytologist as a key outcome of HYDROCARB that will summarize this information for the scientific community, We expect this review to be highly cited with a high impact on the field.
With the many experiments performed in the context of HYDROCARB, the team build extensive expertise on the δ2H and δ18O values of plant materials and how to interpret them. This led to unplanned discussions how to best interpret tree ring δ2H and δ18O values and the exploitation of an extensive European-wide tree ring oxygen isotope data base. The δ18O data in this database revealed that the atmospheric vapor pressure has been increasing in Europe over the past decades due to atmospheric temperature increases and that atmospheric drying is the strongest today since the last 400 years (Treydte et al. 2024, Nature Geosciences). A dry atmosphere has severe consequences for the water relations of ecosystems as it drives evaportanspiration. As such, the paper that HYDRICARB significantly contributed to, stresses one of the key climate change agents for European Ecosystems and puts the magnitude of this change into a historical perspective.