Assessment of inter-annual forest production variations in Italy by the use of remote-sensing and ancillary data. Issue 1 (1st January 2017)

• Record Type: Journal Article
• Authors: Chiesi, Marta; Fibbi, Luca; Tognetti, Roberto; Lombardi, Fabio; Chirici, Gherardo; Teobaldelli, Maurizio; Cherubini, Paolo; Maselli, Fabio
• Is Part Of: European journal of remote sensing. Volume 50:Issue 1(2017)
• Page Start: 577
• Page End: 587
• Publication Date: 2017-01-01
• Subjects: C-Fix -- NOAA-AVHRR -- Spot-VEGETATION -- NDVI -- water factor -- thermal factor; Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.1080/22797254.2017.1374215
• Languages: English
• ISSNs: 2279-7254

Abstract

ABSTRACT: The application of Monteith's models to estimate the gross primary production (GPP) of forest ecosystems is a common and efficient practice. A modified version of one of these parametric models, C-Fix, has been widely tested in Italy at daily to annual temporal scales. The current paper is a step forward demonstrating the capability of this model to reproduce also inter-annual forest GPP variations. To this aim, dendrochronological measurements collected in two study areas were utilized to validate the model. The first study area is a coastal Mediterranean pine forest and the second is a more temperate ecosystem dominated by the presence of European beech. The experiment was organized into the following main steps. Modified C-Fix was applied to simulate annual GPP over a 15-year period for both sites. Both the main driving factors used by the model and the estimated GPP were then analysed and assessed against the detrended tree-ring width series of the collected cores. The study yields indications on the factors most influential on GPP for the two forest ecosystems and supports the capability of the proposed modelling approach to reproduce relevant inter-annual GPP variations, which is useful for predicting the impacts of ongoing climatic changes.