Damiano Zanotelli
Free University of Bozen-Bolzano
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Featured researches published by Damiano Zanotelli.
Ecology and Evolution | 2018
Leonardo Montagnani; Damiano Zanotelli; Massimo Tagliavini; Enrico Tomelleri
Abstract Model parameterization and validation of earth–atmosphere interactions are generally performed using a single timescale (e.g., nearly instantaneous, daily, and annual), although both delayed responses and hysteretic effects have been widely recognized. The lack of consideration of these effects hampers our capability to represent them in empirical‐ or process‐based models. Here we explore, using an apple orchard ecosystem in the North of Italy as a simplified case study, how the considered timescale impacts the relative importance of the single environmental variables in explaining observed net ecosystem exchange (NEE) and evapotranspiration (ET). Using 6 years of eddy covariance and meteorological information as input data, we found a decay of the relative importance of the modeling capability of photosynthetically active radiation in explaining both NEE and ET moving from half‐hourly to seasonal timescale and an increase in the relative importance of air temperature (T) and VPD. Satellite NDVI, used as proxy of leaf development, added little improvement to overall modeling capability. Increasing the timescale, the number of variables needed for parameterization decreased (from 5 to 1), while the proportion of variance explained by the model increased (r 2 from 0.56–0.78 to 0.85–0.90 for NEE and ET respectively). The wavelet coherence and the phase analyses showed that the two variables that increased their relative importance when the scale increased (T, VPD) were not in phase at the correlation peak of both ET and NEE. This phase shift in the time domain corresponds to a hysteretic response in the meteorological variables domain. This work confirms that the model parameterization should be performed using parameters calculated at the appropriate scale. It suggests that in managed ecosystems, where the interannual variability is minimized by the agronomic practices, the use of timescales large enough to include hysteretic and delayed responses reduces the number of required input variables and improves their explanatory capacity.
PLOS ONE | 2016
Elisa Varolo; Damiano Zanotelli; Leonardo Montagnani; Massimo Tagliavini; Stefan Zerbe
Introduction Current glacier retreat makes vast mountain ranges available for vegetation establishment and growth. As a result, carbon (C) is accumulated in the soil, in a negative feedback to climate change. Little is known about the effective C budget of these new ecosystems and how the presence of different vegetation communities influences CO2 fluxes. Methods On the Matsch glacier forefield (Alps, Italy) we measured over two growing seasons the Net Ecosystem Exchange (NEE) of a typical grassland, dominated by the C3 Festuca halleri All., and a community dominated by the CAM rosettes Sempervivum montanum L. Using transparent and opaque chambers, with air temperature as the driver, we partitioned NEE to calculate Ecosystem Respiration (Reco) and Gross Ecosystem Exchange (GEE). In addition, soil and vegetation samples were collected from the same sites to estimate the Net Ecosystem Carbon Balance (NECB). Results The two communities showed contrasting GEE but similar Reco patterns, and as a result they were significantly different in NEE during the period measured. The grassland acted as a C sink, with a total cumulated value of -46.4±35.5 g C m-2 NEE, while the plots dominated by the CAM rosettes acted as a source, with 31.9±22.4 g C m-2. In spite of the different NEE, soil analysis did not reveal significant differences in carbon accumulation of the two plant communities (1770±130 for F. halleri and 2080±230 g C m-2 for S. montanum), suggesting that processes often neglected, like lateral flows and winter respiration, can have a similar relevance as NEE in the determination of the Net Ecosystem Carbon Balance.
Biogeosciences | 2012
Damiano Zanotelli; Leonardo Montagnani; Giovanni Manca; Massimo Tagliavini
European Journal of Agronomy | 2012
Giancarlo Roccuzzo; Damiano Zanotelli; Maria Allegra; Antonio Giuffrida; Biagio Torrisi; Antonino Leonardi; Ana Quiñones; Francesco Intrigliolo; Massimo Tagliavini
European Journal of Agronomy | 2015
Damiano Zanotelli; Leonardo Montagnani; Giovanni Manca; Francesca Scandellari; Massimo Tagliavini
European Journal of Horticultural Science | 2016
Paolo Inglese; Giorgia Liguori; Andrea Pitacco; Riccardo Gucci; Massimo Tagliavini; Giuseppe Celano; Francesca Scandellari; Giovanni Caruso; Franco Meggio; Damiano Zanotelli; Maria Palese Assunta
Applied Soil Ecology | 2016
Elisabetta Tomé; Maurizio Ventura; Silvia Folegot; Damiano Zanotelli; Leonardo Montagnani; Tanja Mimmo; Giustino Tonon; Massimo Tagliavini; Francesca Scandellari
European Journal of Soil Biology | 2015
Francesca Scandellari; Damiano Zanotelli; Christian Ceccon; M. Bolognesi; Leonardo Montagnani; P. Cassol; George Wellington Bastos de Melo; Massimo Tagliavini
bioRxiv | 2017
F. Reyes; Damiano Gianelle; Benoît Pallas; Evelyne Costes; Christophe Pradal; Massimo Tagliavini; Damiano Zanotelli
Scientia Horticulturae | 2017
Giancarlo Roccuzzo; Francesca Scandellari; Maria Allegra; Biagio Torrisi; Fiorella Stagno; Tanja Mimmo; Damiano Zanotelli; Paola Gioacchini; Peter Millard; Massimo Tagliavini