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Dr. Serena Marras
University of Sassari, Department of Agricultural Science; CMCC Foundation

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0 Water Resource Management
0 Micrometeorology
0 risk management
0 Climate change adaptation and mitigation strategies
0 Carbon budgeting

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Journal article
Published: 07 February 2021 in Forests
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Quantifying actual evapotranspiration (ETa) over natural vegetation is crucial in evaluating the water status of ecosystems and the water-use patterns in local or regional hydrological basins. Remote sensing-based surface energy balance models have been used extensively for estimating ETa in agro-environments; however, the application of these models to natural ecosystems is still limited. The surface energy balance algorithm for land (SEBAL) physical-based surface energy balance model was applied to estimate the actual evapotranspiration over a heterogeneous coverage of Mediterranean maquis in a natural reserve in Sardinia, Italy. The model was applied on 19 Landsat 5 and 8 images from 2009 to 2014, and the results were compared to the data of a micrometeorological station with eddy covariance flux measurements. Comparing the SEBAL-based evaporative fraction (ΛS) to the corresponding tower-derived evaporative fractions (ΛT) showed good flux estimations in the Landsat overpass time (Coefficient of determination R 2 = 0.77, root mean square error RMSE = 0.05 and mean absolute error MAE = 0.076). Three methods were evaluated for upscaling instantaneous latent heat flux (λE) to daily actual evapotranspiration (ETa,D). The upscaling methods use the evaporative fraction (Λ), the reference evapotranspiration fraction (EFr) and the ratio of daily to instantaneous incoming shortwave radiation (Rs24/Rsi) as upscaling factors under the hypothesis of diurnal self-preservation. A preliminary analysis performed using only in-situ measured data demonstrated that the three factors were relatively self-preserved during the daytime, and can yield good ETa,D estimations, particularly when obtained at near the Landsat scene acquisition time (≈10:00 UTC). The upscaling factors obtained from SEBAL retrieved instantaneous fluxes, and some ancillary measured meteorological data were used to upscale SEBAL-estimated instantaneous actual λ to daily ET. The Λ EFr and Rs24/Rsi methods on average overestimated the measured ETa,D by nearly 20, 61 and 18%, respectively. The performance of the Λ and Rs24/Rsi methods was considered satisfactory, bearing in mind the high variable ground cover and the inherent variability of the biome composition, which cannot be properly represented in the Landsat moderate spatial resolution. In this study, we tested the potential of the SEBAL model application in a complex natural ecosystem. This modeling approach will be used to represent the spatial dynamics of ET, which will be integrated into further environmental and hydrological applications.

ACS Style

Hassan Awada; Simone Di Prima; Costantino Sirca; Filippo Giadrossich; Serena Marras; Donatella Spano; Mario Pirastru. Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach. Forests 2021, 12, 189 .

AMA Style

Hassan Awada, Simone Di Prima, Costantino Sirca, Filippo Giadrossich, Serena Marras, Donatella Spano, Mario Pirastru. Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach. Forests. 2021; 12 (2):189.

Chicago/Turabian Style

Hassan Awada; Simone Di Prima; Costantino Sirca; Filippo Giadrossich; Serena Marras; Donatella Spano; Mario Pirastru. 2021. "Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach." Forests 12, no. 2: 189.

Preprint content
Published: 23 March 2020
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Mediterranean region is recognized as an hot spot for negative effects due to climate change. The region is already experiencing an increase in frequency and intensity of extreme weather events (i.e. drought conditions, fire, floods, and heat waves) and climate projections indicate a general exacerbation of such phenomena.

This work, performed in the framework of the Sardinia Region Adaptation Strategy to Climate Change and in collaboration with the LIFE Project Master-ADAPT, analyzed the impacts and the vulnerability to climate change in the Sardinia region (Italy) for three sectors: agricultural-forestry sector, the inland water systems, and the hydrogeological component.

The analysis used the innovative approach of developing "Impact Chains” per each sector and analyzed risk. A selection of indicators has been used (at municipality level) as proxy to assess climate hazard (for past and future conditions) and the exposure, sensitivity and adaptation capacity of the Region. This analysis represents the knowledge base required by local administrations for developing adaptation policies to climate change.

Results allowed to better understand climate vulnerability for the territory, and to guide the process of identifying adaptation objectives and options to face climate risk for each sector. Adaptation to climate change is a priority and local administrations need to work towards climate adaptation objectives and policies in order to strengthen climate resilience, reduce negative impacts due to climate change, and enable more effective management opportunities.

ACS Style

Serena Marras; Valentina Bacciu; Valentina Mereu; Antonio Trabucco; Sara Masia; Simone Mereu; Josè Maria Costa Saura; Paola Mercogliano; Giuliana Barbato; Veronica Villani; Gianluca Cocco; Giovanni Satta; Donatella Spano. Climate change vulnerability and impacts assessment in a Mediterranean region for adaptation purposes. 2020, 1 .

AMA Style

Serena Marras, Valentina Bacciu, Valentina Mereu, Antonio Trabucco, Sara Masia, Simone Mereu, Josè Maria Costa Saura, Paola Mercogliano, Giuliana Barbato, Veronica Villani, Gianluca Cocco, Giovanni Satta, Donatella Spano. Climate change vulnerability and impacts assessment in a Mediterranean region for adaptation purposes. . 2020; ():1.

Chicago/Turabian Style

Serena Marras; Valentina Bacciu; Valentina Mereu; Antonio Trabucco; Sara Masia; Simone Mereu; Josè Maria Costa Saura; Paola Mercogliano; Giuliana Barbato; Veronica Villani; Gianluca Cocco; Giovanni Satta; Donatella Spano. 2020. "Climate change vulnerability and impacts assessment in a Mediterranean region for adaptation purposes." , no. : 1.

Conference paper
Published: 20 September 2018
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Increased drought risk in Southern Europe is expected due to changing rainfall patterns and increasing evapotranspiration. Water availability is crucial in semi-arid Mediterranean countries, where irrigation is essential for crop production.In this work, irrigated agriculture vulnerability of three Sardinian irrigation districts and their associated reservoirs is assessed. The simultaneous impact of climate change on water inflow to the reservoir, open surface evaporation, and water supply is evaluated and then integrated into indicators. Vulnerability Index is calculated to define future reservoir adequacy in guaranteeing irrigated crops. The analysis is conducted by comparing the baseline (1976-2005) with the future (2036-2065) climate under RCP 4.5 and 8.5. The Simulation of Evapotranspiration of Applied Water model is incorporated into a GIS platform to compute crop irrigation demand. Changes in water inflow to reservoirs and evaporation losses are estimated. Results show a decreasing resilience and increasing vulnerability of irrigated agriculture under climate change in each case study. The highest resilience is estimated in Monte Pranu and Stretta di Calamaiu reservoir while the highest vulnerability in the Cuga-Alto Temo system. Climate change may only partially affect irrigation in resilient systems, where storage capacity and water entering into the reservoir is higher than water outflow.

ACS Style

Sara Masia; Janez Sušnik; Serena Marras; Simone Mereu; Donatella Spano; Antonio Trabucco. Impact of Climate Change on Irrigated Agriculture in Sardinia Region. 2018, 1 .

AMA Style

Sara Masia, Janez Sušnik, Serena Marras, Simone Mereu, Donatella Spano, Antonio Trabucco. Impact of Climate Change on Irrigated Agriculture in Sardinia Region. . 2018; ():1.

Chicago/Turabian Style

Sara Masia; Janez Sušnik; Serena Marras; Simone Mereu; Donatella Spano; Antonio Trabucco. 2018. "Impact of Climate Change on Irrigated Agriculture in Sardinia Region." , no. : 1.

Journal article
Published: 15 February 2018 in Water
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Climate change in Mediterranean countries is anticipated to have a strong impact on water availability by exacerbating drought conditions and water scarcity. In this context, efficient irrigation practices are becoming essential for sustaining crop production. This work assesses vulnerability of irrigated agriculture for six irrigation districts and their associated reservoirs in Mediterranean areas across Italy under climate change (1976–2005 versus 2036–2065; RCP 4.5 and 8.5), evaluating changes in irrigation requirements, evaporation from reservoirs, and the availability of freshwater supplies. Irrigation requirements are estimated through a crop water model (SIMETAW_R) integrated into a GIS platform, while inflows to reservoirs are hydrologically modelled as partitioning of precipitation contributing to runoff. Results are aggregated into indicators that show the general decreasing resilience and increasing vulnerability of irrigated agriculture under climate change conditions in each case study. The highest percentage of allowable water losses for irrigation is estimated in the Cuga-Alto Temo system, during the prolonged drought period, to be able to satisfy irrigation demand for less than a year. Climate change may only partially affect irrigation in resilient systems, in which storage capacity and the water level entering into the reservoir are considerably higher than the water distribution volumes.

ACS Style

Sara Masia; Janez Sušnik; Serena Marras; Simone Mereu; Donatella Spano; Antonio Trabucco. Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy. Water 2018, 10, 209 .

AMA Style

Sara Masia, Janez Sušnik, Serena Marras, Simone Mereu, Donatella Spano, Antonio Trabucco. Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy. Water. 2018; 10 (2):209.

Chicago/Turabian Style

Sara Masia; Janez Sušnik; Serena Marras; Simone Mereu; Donatella Spano; Antonio Trabucco. 2018. "Assessment of Irrigated Agriculture Vulnerability under Climate Change in Southern Italy." Water 10, no. 2: 209.

Journal article
Published: 01 April 2017 in Agricultural and Forest Meteorology
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ACS Style

Veronica Bellucco; Serena Marras; C. Susan B. Grimmond; Leena Järvi; Costantino Sirca; Donatella Spano. Modelling the biogenic CO 2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters. Agricultural and Forest Meteorology 2017, 236, 113 -122.

AMA Style

Veronica Bellucco, Serena Marras, C. Susan B. Grimmond, Leena Järvi, Costantino Sirca, Donatella Spano. Modelling the biogenic CO 2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters. Agricultural and Forest Meteorology. 2017; 236 ():113-122.

Chicago/Turabian Style

Veronica Bellucco; Serena Marras; C. Susan B. Grimmond; Leena Järvi; Costantino Sirca; Donatella Spano. 2017. "Modelling the biogenic CO 2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters." Agricultural and Forest Meteorology 236, no. : 113-122.

Journal article
Published: 01 March 2017 in Geoderma
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ACS Style

Lourdes Morillas; Veronica Bellucco; Mauro Lo Cascio; Serena Marras; Donatella Spano; Simone Mereu. Contribution of biological crust to soil CO2 efflux in a Mediterranean shrubland ecosystem. Geoderma 2017, 289, 11 -19.

AMA Style

Lourdes Morillas, Veronica Bellucco, Mauro Lo Cascio, Serena Marras, Donatella Spano, Simone Mereu. Contribution of biological crust to soil CO2 efflux in a Mediterranean shrubland ecosystem. Geoderma. 2017; 289 ():11-19.

Chicago/Turabian Style

Lourdes Morillas; Veronica Bellucco; Mauro Lo Cascio; Serena Marras; Donatella Spano; Simone Mereu. 2017. "Contribution of biological crust to soil CO2 efflux in a Mediterranean shrubland ecosystem." Geoderma 289, no. : 11-19.

Journal article
Published: 28 February 2017 in iForest - Biogeosciences and Forestry
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ACS Style

C. Sirca; A. Caddeo; D. Spano; V. Bacciu; S. Marras. Methods for biomass stock estimation in Mediterranean maquis systems. iForest - Biogeosciences and Forestry 2017, 10, 108 -114.

AMA Style

C. Sirca, A. Caddeo, D. Spano, V. Bacciu, S. Marras. Methods for biomass stock estimation in Mediterranean maquis systems. iForest - Biogeosciences and Forestry. 2017; 10 (1):108-114.

Chicago/Turabian Style

C. Sirca; A. Caddeo; D. Spano; V. Bacciu; S. Marras. 2017. "Methods for biomass stock estimation in Mediterranean maquis systems." iForest - Biogeosciences and Forestry 10, no. 1: 108-114.

Original paper
Published: 20 May 2016 in Irrigation Science
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Improving water use efficiency is a key element of water management in irrigated viticulture, especially in arid or semi-arid areas. In this study, the micrometeorological technique “Eddy Covariance” was used to directly quantify the crop evapotranspiration (ET) and to analyze the complex relationships between evapotranspiration, energy fluxes, and meteorological conditions. Both observed Direct measurements (DIR) of latent heat flux (LE) and observed from the residual of the energy balance (REB) equation were used for crop evapotranspiration calculations. Observed crop coefficients (Kcms) were then determined using the standardized reference evapotranspiration (ETo) equation for short canopies. In addition, linear approximations from observations were used to model the seasonal trend lines for crop coefficients and Kcs values were parameterized by first identifying the beginning and end of each growth stage. The modeled Kcs values were used to predict daily ET from ETo measurements and compared with values from literature. The daily observed DIR ET values (ETdo) were lower than REB ET (ETro) during periods with precipitation, but they were similar during dry periods, which implies that energy balance closure is better when the surface is drier. Comparisons between modeled ET and crop ET estimated using Kc values from best agreement was observed between the modeled REB and FAO 56 and the local Kc values provided by the Regional Agency ARPAS showed good agreement with observed ET (from DIR and REB data) than the FAO 56 ones. The study confirmed that the availability of locally driven Kc could be relevant to quantify the crop water requirement and represents the starting point for a sustainable management of water resources.

ACS Style

Serena Marras; Francesca Achenza; Richard L. Snyder; Pierpaolo Duce; Donatella Spano; Costantino Sirca. Using energy balance data for assessing evapotranspiration and crop coefficients in a Mediterranean vineyard. Irrigation Science 2016, 34, 397 -408.

AMA Style

Serena Marras, Francesca Achenza, Richard L. Snyder, Pierpaolo Duce, Donatella Spano, Costantino Sirca. Using energy balance data for assessing evapotranspiration and crop coefficients in a Mediterranean vineyard. Irrigation Science. 2016; 34 (5):397-408.

Chicago/Turabian Style

Serena Marras; Francesca Achenza; Richard L. Snyder; Pierpaolo Duce; Donatella Spano; Costantino Sirca. 2016. "Using energy balance data for assessing evapotranspiration and crop coefficients in a Mediterranean vineyard." Irrigation Science 34, no. 5: 397-408.

Journal article
Published: 02 February 2016 in Journal of Geophysical Research: Biogeosciences
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Several studies have demonstrated that Monteith's approach can efficiently predict forest gross primary production (GPP), while the modeling of net ecosystem production (NEP) is more critical, requiring the additional simulation of forest respirations. The NEP of different forest ecosystems in Italy was currently simulated by the use of a remote sensing-driven parametric model (Modified C-Fix) and a biogeochemical model (BIOME-BGC). The outputs of the two models, which simulate forests in quasi-equilibrium conditions, are combined to estimate the carbon fluxes of actual conditions using information regarding the existing woody biomass. The estimates derived from the methodology have been tested against daily reference GPP and NEP data collected through the eddy-correlation technique at five study sites in Italy. The first test concerned the theoretical validity of the simulation approach at both annual and daily time scales and was performed using optimal model drivers (i.e., collected or calibrated over the site measurements). Next, the test was repeated to assess the operational applicability of the methodology, which was driven by spatially extended datasets (i.e., data derived from existing wall-to-wall digital maps). A good estimation accuracy was generally obtained for GPP and NEP when using optimal model drivers. The use of spatially extended datasets worsens the accuracy to a varying degree, which is properly characterized. The model drivers with the most influence on the flux modeling strategy are, in increasing order of importance, forest type, soil features, meteorology and forest woody biomass (growing stock volume).

ACS Style

Gherardo Chirici; Marta Chiesi; Piermaria Corona; Riccardo Salvati; Dario Papale; Luca Fibbi; Costantino Sirca; Donatella Spano; Pierpaolo Duce; Serena Marras; Giorgio Matteucci; Alessandro Cescatti; Fabio Maselli. Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data. Journal of Geophysical Research: Biogeosciences 2016, 121, 266 -279.

AMA Style

Gherardo Chirici, Marta Chiesi, Piermaria Corona, Riccardo Salvati, Dario Papale, Luca Fibbi, Costantino Sirca, Donatella Spano, Pierpaolo Duce, Serena Marras, Giorgio Matteucci, Alessandro Cescatti, Fabio Maselli. Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data. Journal of Geophysical Research: Biogeosciences. 2016; 121 (2):266-279.

Chicago/Turabian Style

Gherardo Chirici; Marta Chiesi; Piermaria Corona; Riccardo Salvati; Dario Papale; Luca Fibbi; Costantino Sirca; Donatella Spano; Pierpaolo Duce; Serena Marras; Giorgio Matteucci; Alessandro Cescatti; Fabio Maselli. 2016. "Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data." Journal of Geophysical Research: Biogeosciences 121, no. 2: 266-279.

Journal article
Published: 01 December 2015 in Agricultural and Forest Meteorology
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It is recognized that agriculture is the fourth largest contributor to global greenhouse gases (GHGs) emissions by sector (14%) and the wine industry is one of the most important economic sectors in terms of production and distribution worldwide. However, agriculture can also contribute to sequester carbon, so it is important to understand the double role of such systems. Even if the agricultural phase is recognized by several authors to have a strong environmental impact during the wine production, only a few studies estimate GHG emissions related to this stage. In addition, the determination of the carbon footprint (CF) (i.e. the amount of direct and indirect CO2 emissions caused by a production process) of the agricultural phase is not a simple task due to the large uncertainty related to local characteristics, climate, land, agricultural practices, grape type, and to a general lack of experimental data. The main goal of this work was to determine the CF of a mature vineyard during the grape production process. The CF analysis was conducted in a typical Mediterranean vineyard located in the South of Sardinia (Italy) using 1 kg of grape yield as functional unit. The system boundary was “from cradle to gate” excluding winemaking processes, distribution, and consumption. In addition, the study was addressed to assess the role of the vineyard to offset carbon emissions at the end of the productive year. The Eddy Covariance technique was used to directly measure the CO2 exchange over the vineyard and the net CO2 budget was computed by combining the measured fluxes and the GHG emissions estimated by the CF analysis. Results showed that the production of 1 kg of grape determined a total amount of GHG emissions of 0.39 kg CO2-eq and most of them derived from external inputs such as fossil fuel combustion and soil management. In addition, ecophysiological processes could contribute to offset the CO2 emissions released during the agronomic practices.

ACS Style

Serena Marras; Sara Masia; Pierpaolo Duce; Donatella Spano; Costantino Sirca. Carbon footprint assessment on a mature vineyard. Agricultural and Forest Meteorology 2015, 214-215, 350 -356.

AMA Style

Serena Marras, Sara Masia, Pierpaolo Duce, Donatella Spano, Costantino Sirca. Carbon footprint assessment on a mature vineyard. Agricultural and Forest Meteorology. 2015; 214-215 ():350-356.

Chicago/Turabian Style

Serena Marras; Sara Masia; Pierpaolo Duce; Donatella Spano; Costantino Sirca. 2015. "Carbon footprint assessment on a mature vineyard." Agricultural and Forest Meteorology 214-215, no. : 350-356.

Journal article
Published: 09 August 2015 in Irrigation Science
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Rice is a crop that is usually grown under flooded conditions and can require large amounts of water. The objective of this 3-year study was to quantify water use in water- (WS) and dry-seeded (DS) systems. In WS systems, the field is continuously flooded, while in DS systems the field is flush irrigated for the first month and then flooded. Research was conducted on commercial rice fields where the residual of the energy balance method using a sonic anemometer and the eddy covariance method were used to determine crop evapotranspiration (ETc) and crop coefficient (K c) values. In addition, inlet irrigation water and tailwater drainage were determined. Across years, there was no difference in ETc (averaged 862 mm), seasonal K c (averaged 1.07), irrigation water delivery (averaged 1839 mm) and calculated percolation and seepage losses (averaged 269 mm) between systems. An analysis of the first month of the season, when the water management between these two practices was different, indicated that K c and water use were lower in DS systems relative to WS systems when there was only one irrigation flush during this period, while two or three irrigation flushes resulted in similar values between the two systems.

ACS Style

Bruce A Linquist; Richard Snyder; Frank Anderson; Luis Espino; Paolo Inglese; Serena Marras; Ruben Moratiel; Randall Mutters; Placido Nicolosi; Honza Rejmanek; Alfonso Russo; Tom Shapland; Zhenwei Song; Atef Swelam; Gwen N Tindula; Jim Hill. Water balances and evapotranspiration in water- and dry-seeded rice systems. Irrigation Science 2015, 33, 375 -385.

AMA Style

Bruce A Linquist, Richard Snyder, Frank Anderson, Luis Espino, Paolo Inglese, Serena Marras, Ruben Moratiel, Randall Mutters, Placido Nicolosi, Honza Rejmanek, Alfonso Russo, Tom Shapland, Zhenwei Song, Atef Swelam, Gwen N Tindula, Jim Hill. Water balances and evapotranspiration in water- and dry-seeded rice systems. Irrigation Science. 2015; 33 (5):375-385.

Chicago/Turabian Style

Bruce A Linquist; Richard Snyder; Frank Anderson; Luis Espino; Paolo Inglese; Serena Marras; Ruben Moratiel; Randall Mutters; Placido Nicolosi; Honza Rejmanek; Alfonso Russo; Tom Shapland; Zhenwei Song; Atef Swelam; Gwen N Tindula; Jim Hill. 2015. "Water balances and evapotranspiration in water- and dry-seeded rice systems." Irrigation Science 33, no. 5: 375-385.

Book chapter
Published: 30 December 2014 in Physics of Semiconductor Devices
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Regional approaches to estimate the carbon budget of Italian forest ecosystems using Process-Based Models (PBMs), have been applied by several national institutions and researchers. Gross and net primary productivity (GPP and NPP) have been estimated through the PBMs simulations of carbon, water, and elemental cycles driven by remotely sensed data set and ancillary data. In particular the results of the GPP and NPP estimations provided by the implementation of two hybrid models are presented. The first modeling approach, based on the integration of two widely used models (C-fix and BIOME-BGC), has been applied to simulate monthly GPP and NPP values of all Italian forests for the decade 1999–2008. The approach, driven by remotely sensed SPOT-VEGETATION ten-day Normalized Difference Vegetation Index (NDVI) images and meteorological data, provided a NPP map of Italian forests reaching maximum values of about 900 g C m−2 year−1. The second modeling approach is based on the implementation of a modified version of the 3-PG model running on a daily time step to produce daily estimates of GPP and NPP. The model is driven by MODIS remotely sensed vegetation indexes and meteorological data, and parameterized for specific soil and land cover characteristics. Average annual GPP and NPP maps of Italian forests and average annual values for different forest types according to Corine Land Cover 2000 classification are reported.

ACS Style

Angelo Nolè; Alessio Collalti; Marco Borghetti; Marta Chiesi; Gherardo Chirici; Federico Magnani; Serena Marras; Fabio Maselli; Costantino Sirca; Donatella Spano. The Role of Managed Forest Ecosystems: A Modeling Based Approach. Physics of Semiconductor Devices 2014, 71 -85.

AMA Style

Angelo Nolè, Alessio Collalti, Marco Borghetti, Marta Chiesi, Gherardo Chirici, Federico Magnani, Serena Marras, Fabio Maselli, Costantino Sirca, Donatella Spano. The Role of Managed Forest Ecosystems: A Modeling Based Approach. Physics of Semiconductor Devices. 2014; ():71-85.

Chicago/Turabian Style

Angelo Nolè; Alessio Collalti; Marco Borghetti; Marta Chiesi; Gherardo Chirici; Federico Magnani; Serena Marras; Fabio Maselli; Costantino Sirca; Donatella Spano. 2014. "The Role of Managed Forest Ecosystems: A Modeling Based Approach." Physics of Semiconductor Devices , no. : 71-85.

Book chapter
Published: 30 December 2014 in Soil and Recycling Management in the Anthropocene Era
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Although their carbon stock is relevant in assessing the baseline for the negotiation of future agreements with respect to carbon balance, there still are few available studies concerning the biomass and the net ecosystem exchange capacity of Mediterranean shrublands. In this chapter a preliminary overview on the biomass values concerning Italian shrubland communities and/or their dominant/characteristic woody species is provided. Many useful data on above- and belowground biomass issued from investigations carried out in other Mediterranean countries and concerning plant communities, which share the same ecological, floristic and structural traits of Italian shrublands. A preliminary finding of this research is the uneven degree of knowledge concerning the different non-forest woody communities. For example, there is still no literature on the biomass of some 2/3 of all the considered phytosociological units. Besides, both the above and the below-ground biomass of many Mediterranean shrubs show a very wide range of variation as they are strongly influenced by progressive succession processes and by the nature, the intensity and the frequency of disturbance factors. Thus, direct measuring of these values for each vegetation unit and dominant woody species should be encouraged and intensified. Monitoring activities concerning biomass increase are recommended as well: as a matter of fact, at present reference data on this topic are so limited and variable that it is not possible to confidently estimate the annual growth of shrubland communities.

ACS Style

Salvatore Claudio Pasta; Tommaso La Mantia; Serena Marras; Costantino Sirca; Donatella Spano; Riccardo Valentini. Trying to Link Vegetation Units with Biomass Data: The Case Study of Italian Shrublands. Soil and Recycling Management in the Anthropocene Era 2014, 195 -211.

AMA Style

Salvatore Claudio Pasta, Tommaso La Mantia, Serena Marras, Costantino Sirca, Donatella Spano, Riccardo Valentini. Trying to Link Vegetation Units with Biomass Data: The Case Study of Italian Shrublands. Soil and Recycling Management in the Anthropocene Era. 2014; ():195-211.

Chicago/Turabian Style

Salvatore Claudio Pasta; Tommaso La Mantia; Serena Marras; Costantino Sirca; Donatella Spano; Riccardo Valentini. 2014. "Trying to Link Vegetation Units with Biomass Data: The Case Study of Italian Shrublands." Soil and Recycling Management in the Anthropocene Era , no. : 195-211.

Book chapter
Published: 30 December 2014 in Physics of Semiconductor Devices
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A common belief is that agricultural fields cannot be net carbon sinks,but perennial tree crops, growing a permanent woody structure with a life cycle of decades could act as carbon sink. Vineyards are good candidates to test this hypothesis, because they are often grown with limited soil cultivation and produce plenty of woody pruning material that can be left on the ground. Three Eddy\ud Covariance sites were established in different vineyards, along a north-south\ud transect, in Italy, to study the role of vine cultivation in the carbon balance of the\ud Italian penisula. The year 2009 was chosen as a reference year for the three sites,in order to compare carbon budget estimates in areas characterized by different meteorological, pedological and geomorphological conditions. In the three sites a carbon sink ranging between 814 (Negrisia site) and 89 (Serdiana site) g C m−2 y−1 was measured. Both climate (water availability and PAR) and management (in particular the presence of permanent grass cover) have a strong impact on the carbon balance of the ecosystems. Even if it can be argued that this sink may be only\ud temporary and the built-up can be substantially disrupted at the end of the vineyard life cycle, these results show that there is a concrete possibility of storing carbon in agricultural soils. Proper practices can be defined to preserve this storage at best, greatly contributing to the global carbon budge

ACS Style

Damiano Gianelle; Luciano Gristina; Andrea Pitacco; Donatella Spano; Tommaso La Mantia; Serena Marras; Franco Meggio; Agata Novara; Costantino Sirca; Matteo Sottocornola. The Role of Vineyards in the Carbon Balance Throughout Italy. Physics of Semiconductor Devices 2014, 159 -171.

AMA Style

Damiano Gianelle, Luciano Gristina, Andrea Pitacco, Donatella Spano, Tommaso La Mantia, Serena Marras, Franco Meggio, Agata Novara, Costantino Sirca, Matteo Sottocornola. The Role of Vineyards in the Carbon Balance Throughout Italy. Physics of Semiconductor Devices. 2014; ():159-171.

Chicago/Turabian Style

Damiano Gianelle; Luciano Gristina; Andrea Pitacco; Donatella Spano; Tommaso La Mantia; Serena Marras; Franco Meggio; Agata Novara; Costantino Sirca; Matteo Sottocornola. 2014. "The Role of Vineyards in the Carbon Balance Throughout Italy." Physics of Semiconductor Devices , no. : 159-171.

Journal article
Published: 01 June 2014 in Acta Horticulturae
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ISHS VII International Symposium on Irrigation of Horticultural Crops LONG-TERM MONITORING OF EVAPOTRANSPIRATION IN A SARDINIAN VINEYARD

ACS Style

S. Marras; C. Sirca; D. Spano; P. Duce; P. Zara; A. Arca; R.L. Snyder. LONG-TERM MONITORING OF EVAPOTRANSPIRATION IN A SARDINIAN VINEYARD. Acta Horticulturae 2014, 437 -442.

AMA Style

S. Marras, C. Sirca, D. Spano, P. Duce, P. Zara, A. Arca, R.L. Snyder. LONG-TERM MONITORING OF EVAPOTRANSPIRATION IN A SARDINIAN VINEYARD. Acta Horticulturae. 2014; (1038):437-442.

Chicago/Turabian Style

S. Marras; C. Sirca; D. Spano; P. Duce; P. Zara; A. Arca; R.L. Snyder. 2014. "LONG-TERM MONITORING OF EVAPOTRANSPIRATION IN A SARDINIAN VINEYARD." Acta Horticulturae , no. 1038: 437-442.

Journal article
Published: 01 February 2014 in International Journal of Applied Earth Observation and Geoinformation
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Patterns of urban development influence flows of material and energy within urban settlements and exchanges with its surrounding. In recent years the quantitative estimation of the components of the so-called urban metabolism has increasingly attracted the attention of researchers from different fields. To contribute to this effort we developed a modelling framework for estimating the carbon exchanges together with sensible and latent heat fluxes and air temperature in relation to alternative land-use scenarios. The framework bundles three components: (i) a Cellular Automata model for the simulation of the urban land-use dynamics; (ii) a transportation model for estimating the variation of the transportation network load and (iii) the Advanced Canopy-Atmosphere-Soil Algorithm (ACASA) model tightly coupled with the mesoscale weather forecasting model WRF. We present and discuss the results of an example application on the City of Florence

ACS Style

Ivan Blečić; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. Urban metabolism and climate change: A planning support system. International Journal of Applied Earth Observation and Geoinformation 2014, 26, 447 -457.

AMA Style

Ivan Blečić, Arnaldo Cecchini, Matthias Falk, Serena Marras, David R. Pyles, Donatella Spano, Giuseppe A. Trunfio. Urban metabolism and climate change: A planning support system. International Journal of Applied Earth Observation and Geoinformation. 2014; 26 ():447-457.

Chicago/Turabian Style

Ivan Blečić; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. 2014. "Urban metabolism and climate change: A planning support system." International Journal of Applied Earth Observation and Geoinformation 26, no. : 447-457.

Journal article
Published: 28 August 2013 in Annals of Forest Science
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Forest ecosystem carbon uptake is heavily affected by increasing drought in the Mediterranean region. The objectives of this study were to assess the capacity of a modified 3-PG model to capture temporal variation in gross primary productivity (GPP), and ecosystem net carbon uptake (NEE) in two Mediterranean forest types. The model was upgraded from a monthly (3-PG) to a daily time step (3-PGday), and a soil water balance routine was included to better represent soil water availability. The model was evaluated against seasonal GPP and NEE dynamics from eddy covariance measurements. Simulated and measured soil water content values were congruent throughout the study period for both forest types. 3-PGday effectively described the following: GPP and NEE seasonal patterns; the transition of forest ecosystems from carbon sink to carbon source; however, the model overestimated diurnal ecosystem respiration values and failed to predict ecosystem respiration peaks. The model served as a rather effective tool to represent seasonal variation in gross primary productivity, and ecosystem net carbon uptake under Mediterranean drought-prone conditions. However, its semi-empirical nature and the simplicity inherent in the original model formulation are obstacles preventing the model working well for short-term daily predictions.

ACS Style

Angelo Nolè; Alessio Collalti; Federico Magnani; Pierpaolo Duce; Agostino Ferrara; Giuseppe Mancino; Serena Marras; Costantino Sirca; Donatella Spano; Marco Borghetti. Assessing temporal variation of primary and ecosystem production in two Mediterranean forests using a modified 3-PG model. Annals of Forest Science 2013, 70, 729 -741.

AMA Style

Angelo Nolè, Alessio Collalti, Federico Magnani, Pierpaolo Duce, Agostino Ferrara, Giuseppe Mancino, Serena Marras, Costantino Sirca, Donatella Spano, Marco Borghetti. Assessing temporal variation of primary and ecosystem production in two Mediterranean forests using a modified 3-PG model. Annals of Forest Science. 2013; 70 (7):729-741.

Chicago/Turabian Style

Angelo Nolè; Alessio Collalti; Federico Magnani; Pierpaolo Duce; Agostino Ferrara; Giuseppe Mancino; Serena Marras; Costantino Sirca; Donatella Spano; Marco Borghetti. 2013. "Assessing temporal variation of primary and ecosystem production in two Mediterranean forests using a modified 3-PG model." Annals of Forest Science 70, no. 7: 729-741.

Book chapter
Published: 21 June 2013 in Lecture Notes in Geoinformation and Cartography
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Patterns of urban development affect flows of material and energy within urban settlements and exchanges with their surroundings. In recent years the quantitative estimation of the components of the so-called urban metabolism has increasingly attracted the attention of researchers from different fields. To contribute to this effort we developed a modelling framework for estimating carbon exchanges in relation to alternative land-use scenarios. The framework bundles three components: (1) a Cellular Automata model for the simulation of the urban land-use dynamics; (2) a transportation model for estimating the variation of the transportation network load and (3) the Advanced Canopy-Atmosphere-Soil Algorithm (ACASA) model tightly coupled with the mesoscale weather forecasting model WRF. We present and discuss the results of an example application on the City of Florence.

ACS Style

Ivan Blecic; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. Urban CO2 Planning: A Decision Support System. Lecture Notes in Geoinformation and Cartography 2013, 209 -224.

AMA Style

Ivan Blecic, Arnaldo Cecchini, Matthias Falk, Serena Marras, David R. Pyles, Donatella Spano, Giuseppe A. Trunfio. Urban CO2 Planning: A Decision Support System. Lecture Notes in Geoinformation and Cartography. 2013; ():209-224.

Chicago/Turabian Style

Ivan Blecic; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. 2013. "Urban CO2 Planning: A Decision Support System." Lecture Notes in Geoinformation and Cartography , no. : 209-224.

Journal article
Published: 15 June 2011 in Agricultural and Forest Meteorology
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The Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) model is used to predict energy, water and carbon fluxes over a Mediterranean maquis site located in North-Western Sardinia (Italy) and the model performance is evaluated. Flux simulations are compared with Eddy Covariance field measurements collected from 2004 to 2007. The site experiences a drought season during the summer months in which the vegetation becomes water stressed. Results from the months of January, April, and July are analyzed to demonstrate the model behavior in different environmental conditions. In general, simulated and observed fluxes matched when both the thermal and moisture regime are optimal. During the July water stress period the model underestimated latent heat and carbon fluxes due to a strong stress response linked to soil properties and plant physiological characteristics. The selection of values for key parameters, e.g. maximum ideal photosynthetic capacity (RUBISCO), wilting point, soil water content, and root and leaf area ratio, is crucial to obtain close agreement between simulated and observed fluxes. The model was designed so that the most sensitive parameters are measurable quantities. Using the ACASA model to predict energy and mass fluxes between the vegetation and atmosphere appears promising in this context, and it could significantly improve our ability to estimate fluxes for use in future studies.

ACS Style

S. Marras; R.D. Pyles; Costantino Sirca; K.T. Paw U; R.L. Snyder; Pierpaolo Duce; D. Spano. Evaluation of the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem. Agricultural and Forest Meteorology 2011, 151, 730 -745.

AMA Style

S. Marras, R.D. Pyles, Costantino Sirca, K.T. Paw U, R.L. Snyder, Pierpaolo Duce, D. Spano. Evaluation of the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem. Agricultural and Forest Meteorology. 2011; 151 (6):730-745.

Chicago/Turabian Style

S. Marras; R.D. Pyles; Costantino Sirca; K.T. Paw U; R.L. Snyder; Pierpaolo Duce; D. Spano. 2011. "Evaluation of the Advanced Canopy–Atmosphere–Soil Algorithm (ACASA) model performance over Mediterranean maquis ecosystem." Agricultural and Forest Meteorology 151, no. 6: 730-745.

Conference paper
Published: 01 January 2011 in Computer Vision
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The flows of carbon and energy produced by urbanized areas represent one of the aspects of urban sustainability that can have an important impact on climate change. For this reason, in recent years the quantitative estimation of the so-called urban metabolism components has increasingly attracted the attention of researchers from different fields. On the other hand, it has been well recognized that the structure and design of future urban development can significantly affect the flows of material and energy exchanged by an urban area with its surroundings. In this context, the paper discusses a software framework able to estimate the carbon exchanges accounting for alternative scenarios which can influence urban development. The modelling system is based on four main components: (i) a Cellular Automata model for the simulation of the urban land-use dynamics; (ii) a transportation model, able to estimate the variation of the transportation network load and (iii) the ACASA (Advanced Canopy-Atmosphere-Soil Algorithm) model which was tightly coupled with the (iv) mesoscale weather model WRF for the estimation of the relevant urban metabolism components. An in-progress application to the city of Florence is presented and discussed.

ACS Style

Ivan Blecic; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. Towards a Planning Decision Support System for Low-Carbon Urban Development. Computer Vision 2011, 6782, 423 -438.

AMA Style

Ivan Blecic, Arnaldo Cecchini, Matthias Falk, Serena Marras, David R. Pyles, Donatella Spano, Giuseppe A. Trunfio. Towards a Planning Decision Support System for Low-Carbon Urban Development. Computer Vision. 2011; 6782 ():423-438.

Chicago/Turabian Style

Ivan Blecic; Arnaldo Cecchini; Matthias Falk; Serena Marras; David R. Pyles; Donatella Spano; Giuseppe A. Trunfio. 2011. "Towards a Planning Decision Support System for Low-Carbon Urban Development." Computer Vision 6782, no. : 423-438.