A. Cescatti

TL;DR: It is demonstrated that estimations of ES critically depend on applied experimental protocols and on data processing and reporting, and standardization of experimental and calculation protocols and critical examination of past reports is essential for development of accurate emission factor databases.

TL;DR: In this paper, the authors used the Harvard Forest phenology record to investigate and characterize sources of uncertainty in predicting phenology, and the subsequent impacts on model forecasts of carbon and water cycling.

TL;DR: In this article, a second-order turbulence closure model was used to test two different parameterisations of canopy architecture in the application of a second order turbulence closure, and the predicted profiles of turbulence statistics reasonably matched actual measurements, especially in the case of the mean contact number parameterisation.

TL;DR: In this paper, the authors used data from MODIS and FLUXNET to assess how well four metrics derived from remotely sensed vegetation indices (hereafter referred to as proxies) and six remote sensing-based models capture spatial and temporal variations in annual GPP.

TL;DR: In this article, the relationship between wind speed and drag coefficient was experimentally investigated in two mixed conifer forests of the Italian Alps, where the authors calculated drag coefficient from the mean momentum equation while canopy architecture was described using optical measurements of gap fraction.