Retrospective reconstruction of the ecophysiological grapevine behaviour through the analysis of tree-ring series to validate an approach to extract data from space-born and UAV techniques

Climate change is intensifying the need to improve the use efficiency of farm resources and to increase crop yield and quality, especially in high profitability crops as grapevine. The achievement of these challenges requires the realization of a continuous crop monitoring in the field to identify and forecast possible anomalies in plant growth and health status due to short-and long-Term environmental constrictions (e.g. climate change). Several indicators are currently used to evaluate plant growth, based on in situ data collection or remote sensing. In this study, we propose a multiscale approach to assess and interpret plant growth indicators in vineyard systems. We not only monitor plant growth and eco-physiology in-vivo during cultivation, but also reconstruct past eco-physiological behavior by transferring the approach of dendro-sciences, typical of the forest science domain, to viticulture. More specifically, we extract anatomical and stable isotope traits (linked with hydraulic and resource efficiency parameters) from tree-ring series to evaluate plant plasticity to past fluctuations in environmental conditions and to changes in the vineyard management. We also check whether the reconstructed eco-physiological behavior corresponds with the indexes obtained from the retrospective analysis of space-borne and UAVs data.