Francesco Fava

Dr. Francesco Fava

Department of Environmental Science and Policy, Università degli Studi di Milano, Via Celoria 2, Milan, Italy
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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2011 in Agricultural and Forest Meteorology
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Journal Article
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MMMirco Migliavacca
Mirco Migliavacca
MGMarta Galvagno
Marta Galvagno
ECEdoardo Cremonese
Edoardo Cremonese
Micol RossiniMicol Rossini
Micol Rossini
MMMichele Meroni
Michele Meroni
ARAndrew D. Richardson
Andrew D. Richardson

9 February 2017 in New Phytologist
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Journal Article
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MMMirco Migliavacca
Mirco Migliavacca
OPOscar Perez-Priego
Oscar Perez-Priego
Micol RossiniMicol Rossini
Micol Rossini
TETarek El-Madany
Tarek El-Madany
GMGerardo Moreno
Gerardo Moreno
MRMarkus Reichstein
Markus Reichstein
Summary: Sun‐induced fluorescence (SIF) in the far‐red region provides a new noninvasive measurement approach that has the potential to quantify dynamic changes in light‐use efficiency and gross primary production (GPP). However, the mechanistic link between GPP and SIF is not completely understood. We analyzed the structural and functional factors controlling the emission of SIF at 760 nm (F760) in a Mediterranean grassland manipulated with nutrient addition of nitrogen (N), phosphorous (P) or nitrogen–phosphorous (NP). Using the soil–canopy observation of photosynthesis and energy (SCOPE) model, we investigated how nutrient‐induced changes in canopy structure (i.e. changes in plant forms abundance that influence leaf inclination distribution function, LIDF) and functional traits (e.g. N content in dry mass of leaves, N%, Chlorophyll a+b concentration (Cab) and maximum carboxylation capacity (Vcmax)) affected the observed linear relationship between F760 and GPP. We conclude that the addition of nutrients imposed a change in the abundance of different plant forms and biochemistry of the canopy that controls F760. Changes in canopy structure mainly control the GPP–F760 relationship, with a secondary effect of Cab and Vcmax. In order to exploit F760 data to model GPP at the global/regional scale, canopy structural variability, biodiversity and functional traits are important factors that have to be considered.

28 May 2015 in Journal of Geophysical Research: Atmospheres
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BMB. Di Mauro
B. Di Mauro
FFFrancesco Fava
Francesco Fava
LFL. Ferrero
L. Ferrero
RGR. Garzonio
R. Garzonio
GBGiovanni Baccolo
Giovanni Baccolo
RCR. Colombo
R. Colombo
In this paper, we evaluate the impact of mineral dust (MD) on snow radiative properties in the European Alps at ground, aerial, and satellite scale. A field survey was conducted to acquire snow spectral reflectance measurements with an Analytical Spectral Device (ASD) Field Spec Pro spectroradiometer. Surface snow samples were analyzed to determine the concentration and size distribution of MD in each sample. An overflight of a four‐rotor Unmanned Aerial Vehicle (UAV) equipped with an RGB digital camera sensor was carried out during the field operations. Finally, Landsat 8 Operational Land Imager (OLI) data covering the central European Alps were analyzed. Observed reflectance evidenced that MD strongly reduced the spectral reflectance of snow, in particular, from 350 to 600 nm. Reflectance was compared with that simulated by parameterizing the Snow, Ice, and Aerosol Radiation radiative transfer model. We defined a novel spectral index, the Snow Darkening Index (SDI), that combines different wavelengths showing nonlinear correlation with measured MD concentrations (R2 = 0.87, root‐mean‐square error = 0.037). We also estimated a positive instantaneous radiative forcing that reaches values up to 153 W/m2 for the most concentrated sampling area. SDI maps at local scale were produced using the UAV data, while regional SDI maps were generated with OLI data. These maps show the spatial distribution of MD in snow after a natural deposition from the Saharan desert. Such postdepositional experimental data are fundamental for validating radiative transfer models and global climate models that simulate the impact of MD on snow radiative properties.

1 October 2020 in Remote Sensing of Environment
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Journal Article
Open access
YCYan Cheng
Yan Cheng
AVAnton Vrieling
Anton Vrieling
FFFrancesco Fava
Francesco Fava
MMMichele Meroni
Michele Meroni
MMMichael Marshall
Michael Marshall
SGStella Gachoki
Stella Gachoki

1 December 2016 in Ecosystem Services
Verified
Journal Article
Closed access
GPGiuseppe Pulighe
Giuseppe Pulighe
FFFrancesco Fava
Francesco Fava
FLFlavio Lupia
Flavio Lupia

1 August 2009 in International Journal of Applied Earth Observation and Geoinformation
Verified
Journal Article
Closed access
FFFrancesco Fava
Francesco Fava
RCR. Colombo
R. Colombo
SBS. Bocchi
S. Bocchi
MMMichele Meroni
Michele Meroni
MSM. Sitzia
M. Sitzia
CZClaudio Zucca
Claudio Zucca