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

By: Damiano N., Bonfante A., Cirillo C., Amitrano C., Erbaggio A., Brook A., De Micco V.
Published in: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2019 – Proceedings
SDGs : SDG 13  |  Units: Social Sciences  | Time: 2019 |  Link
Description: Climate change is intensifying the need to improve the use efficiency of farm resources and to increase crop yield and q uality, 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. © 2019 IEEE.