Francesco Primo Vaccari

TL;DR: In this paper, the authors analyse the effect of extrapolation of night-time values of ecosystem respiration into the daytime; this is usually done with a temperature response function that is derived from long-term data sets.

TL;DR: In this paper, the authors upscaled FLUXNET observations of carbon dioxide, water, and energy fluxes to the global scale using the machine learning technique, model tree ensembles (MTE), to predict site-level gross primary productivity (GPP), terrestrial ecosystem respiration (TER), net ecosystem exchange (NEE), latent energy (LE), and sensible heat (H) based on remote sensing indices, climate and meteorological data, and information on land use.

TL;DR: This work compares NDVI surveys performed with UAV, aircraft and satellite, to assess the capability of each platform to represent the intra-vineyard vegetation spatial variability and results indicate that the different platforms provide comparable results in vineyards characterized by coarse vegetation gradients and large vegetation clusters.

TL;DR: In this article, the authors explored the relationship between energy balance closure and landscape heterogeneity using MODIS products and GLOBEstat elevation data and found that landscape-level heterogeneity in vegetation and topography cannot be ignored as a contributor to incomplete energy balance closures at the surface-atmosphere exchange measurements.

TL;DR: In this paper, a large volume application of Biochar (30 and 60 t −1 ) on durum wheat in the Mediterranean climate condition, showing the viability of BC application for carbon sequestration on this crop.