160 results on '"Bonfante, Antonello"'
Search Results
52. A web based Geospatial Decision Support System to quantify the impact of soil sealing on soil functions
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Manna, Piero, primary, Basile, Angelo, additional, Bonfante, Antonello, additional, D'Antonio, Amedeo, additional, De Michele, Carlo, additional, Iamarino, Michela, additional, Langella, Giuliano, additional, Mileti, Florindo Antonio, additional, Munafò, Michele, additional, and Terribile, Fabio, additional
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- 2020
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53. Exploring the effect of varying soil organic matter contents on current and future moisture supply capacities of six Italian soils
- Author
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Bonfante, Antonello, primary, Basile, Angelo, additional, and Bouma, Johan, additional
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- 2020
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54. Assessment of Falanghina vine status at different spatial and temporal scales by means of a smart multiple spatial and temporal resolution system
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Brook, Anna, primary, Bonfante, Antonello, additional, Damiano, Nicola, additional, Cirillo, Chiara, additional, Battipaglia, Giovanna, additional, Erbaggio, Arturo, additional, Buonanno, Maurizio, additional, and De Micco, Veronica, additional
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- 2020
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55. Relationships between vine hydraulics and wine production in Falanghina: morpho-functional and isotopic traceability to evaluate sustainability in a climate change context
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Damiano, Nicola, primary, Cirillo, Chiara, additional, Battipaglia, Giovanna, additional, Amitrano, Chiara, additional, Pannico, Antonio, additional, Caputo, Rosanna, additional, Arena, Carmen, additional, Erbaggio, Arturo, additional, Cherubini, Paolo, additional, Saurer, Matthias, additional, Bonfante, Antonello, additional, and De Micco, Veronica, additional
- Published
- 2020
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56. Pedoclimatic comparison of three viticultural areas of Italy devoted to high-quality Aglianico and Cabernet Sauvignon production
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Monaco, Eugenia, primary, De Mascellis, Roberto, additional, Barbato, Giuliana, additional, Mercogliano, Paola, additional, Buonanno, Maurizio, additional, Brook, Anna, additional, De Micco, Veronica, additional, and Bonfante, Antonello, additional
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- 2020
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57. Soil Sealing: Quantifying Impacts on Soil Functions by a Geospatial Decision Support System
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Manna Piero, Langella Giuliano, Mileti Antonio Florindo, Terribile Fabio, D'Antonio Amedeo, De Michele Carlo, Basile Angelo, Iamarino Michela, Vingiani Simona, Pileri Paolo, and Bonfante Antonello
- Subjects
Decision support system ,Geospatial analysis ,Soil Science ,Soil science ,010501 environmental sciences ,Development ,computer.software_genre ,01 natural sciences ,GeneralLiterature_MISCELLANEOUS ,Ecosystem services ,Urban planning ,Soil functions ,Environmental Chemistry ,Spatial planning ,0105 earth and related environmental sciences ,General Environmental Science ,business.industry ,Environmental resource management ,Land-use planning ,04 agricultural and veterinary sciences ,040103 agronomy & agriculture ,Land degradation ,0401 agriculture, forestry, and fisheries ,Environmental science ,business ,computer - Abstract
Soil sealing is considered among the most dangerous of land degradation processes on Global, European and national scales. Despite important policy documents aiming to mitigate this soil threat, it currently shows no signs of abating and current efforts often do not result in appropriate implementation of soil sealing mitigation in spatial planning, which represents the subject area governing soil sealing. In this paper, we show a Spatial Decision Support Systems - based on a Geospatial Cyber-Infrastructure – with the aim of applying it as an operational instrument aiming towards soil sealing mitigation. The system has the ambition to impact on those who take decision over soil sealing; typically, these are not agriculture experts but rather spatial planners. This tool, focusing on mitigating such crucial land degradation, allows the users - via the web - to produce “what-if” land planning scenarios thanks to the “on-the-fly” modelling engines. Therefore, integrated geospatial quantitative data and procedures may be directly and freely used by planners. The tool has been applied to and tested in an area in the South of Italy. Results from two applications are reported; one addressing municipal planning and the other on a more detailed spatial scale. Furthermore, results include quantification of rural fragmentation, loss of soil ecosystem services and an estimate of soil sealing evolution over time. The tool was developed with the help of end-users and indirectly explores a change of paradigm where soil science and landscape/urban planning work together to provide operational instruments which may be adopted by local communities in addressing soil sealing issues with a proactive approach.
- Published
- 2017
58. Clim4Vitis Workshop, Florence - 09-10 July 2019
- Author
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Bonfante, Antonello, Cappelli, Giovanni, Cassardo, Claudio, Marletto, Vittorio, Mattii, Giovan Battista, Moriondo, Marco, Salvi, Linda, Santos, João, and Spanna, Federico
- Subjects
Viticulture ,Climate change ,Crop models ,Precision Agriculture - Abstract
The Clim4Vitis workshop held in Florence was focused on the methodologies used for assessing climate change impacts in viticultural sector. The keynote speakers provided an overview of the methods and tools currently applied for estimating grapevine growth and production.
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- 2019
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59. Site-specific management in viticulture across space and time: from plant-environment interactions to the end product
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Brillante Luca, Bonfante Antonello, and Priori Simone
- Subjects
Site-specific ,viticulture - Abstract
The identification and classification of agricultural sites with uniform characteristics from a physical point of view, also called zones, or in strict viticulture terms basic terroir units (BTUs), has crucial importance in precision and sustainable agriculture, with positive economic implications. Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of sites or BTU has shifted from a largely descriptive regional science to a more applied, technical research field. The explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been a greater adoption of these technologies, but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Agricultural zoning procedures applied at different spatial scales (from regional to farm or field scale) enable to support and optimize site-specific planning and management of vineyard agroecosystems. A site-specific management is expected to improve efficiency, while the optimization of agricultural decisions according to the site characteristics is likely to reveal the peculiarities of the product that depend on these characteristics. This management is dynamic, as changing is the environment and the market. There is a need for new multidisciplinary approaches in terroir analysis and zoning, to study soil, plant and climate systems in relation to the characteristics of agricultural products, to explore their resilience to climate change by means of quantitative dynamic and spatial modeling approaches. This work wants to group the results of previous papers of the authors relating to site-specific approach of viticultural terroir zoning
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- 2019
60. Functional grapevine anatomy: linking traits of tree rings and leaves to eco- physiological behaviour in response to pedo-climatic and cultivation factors
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Amitrano, Chiara, Niccoli, Francesco, Battipaglia, Giovanna, Cirillo, Chiara, Bonfante, Antonello, Erbaggio, Arturo, Rouphael, Youssef, and Micco, Veronica De
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- 2019
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61. LCIS DSS—An Irrigation Supporting System for Efficient Water Use in Precision Agriculture
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Brook, Anna, primary, Salinas, Keren, additional, Monaco, Eugenia, additional, and Bonfante, Antonello, additional
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- 2019
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62. A Smart Multi-scale and Multi-temporal System to Support Precision and Sustainable Agriculture from Satellite Images
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Brook, Anna, primary, Micco, Veronica De, additional, Battipaglia, Giovanna, additional, Erbaggio, Arturo, additional, Ludeno, Giovanni, additional, Catapano, Ilaria, additional, and Bonfante, Antonello, additional
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- 2019
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63. Retrospective Reconstruction of the Ecophysiological Grapevine Behaviour Through the Analysis of Tree-Ring Series to Validate an Approach to Extract Data From Space-Born and UAV Techniques
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Damiano, Nicola, primary, Bonfante, Antonello, additional, Cirillo, Chiara, additional, Amitrano, Chiara, additional, Erbaggio, Arturo, additional, Brook, Anna, additional, and Micco, Veronica De, additional
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- 2019
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64. Assessing the Potential of Cereal Production Systems to Adapt to Contrasting Weather Conditions in the Mediterranean Region
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Abi Saab, Marie Therese, primary, Houssemeddine Sellami, Mohamed, additional, Giorio, Pasquale, additional, Basile, Angelo, additional, Bonfante, Antonello, additional, Rouphael, Youssef, additional, Fahed, Salim, additional, Jomaa, Ihab, additional, Stephan, Chafic, additional, Kabalan, Rabih, additional, Massaad, Randa, additional, Todorovic, Mladen, additional, and Albrizio, Rossella, additional
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- 2019
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65. How does PTF Interpret Soil Heterogeneity? A Stochastic Approach Applied to a Case Study on Maize in Northern Italy
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Basile, Angelo, primary, Bonfante, Antonello, additional, Coppola, Antonio, additional, De Mascellis, Roberto, additional, Falanga Bolognesi, Salvatore, additional, Terribile, Fabio, additional, and Manna, Piero, additional
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- 2019
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66. Refining physical aspects of soil quality and soil health when exploring the effects of soil degradation and climate change on biomass production: an Italian case study
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Bonfante, Antonello, primary, Terribile, Fabio, additional, and Bouma, Johan, additional
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- 2019
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67. DETERMINANTS OF ADAPTATION OF GRAPEVINE TO AN EVOLVING CLIMATE: HYDROLOGICAL CONDITIONS AND CULTIVARS BIODIVERSITY
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De Lorenzi Francesca (1) Cona Francesco (2) Alfieri Silvia Maria (1 and 3) Riccardi Maria (1) Bonfante Antonello (1) De Mascellis Roberto (1) Mula Ileana (4) Menenti Massimo (3
- Subjects
climate change ,potential cultivation area ,Vitis vinifera L ,yield response functions - Abstract
Soil water availability is one of the main determinants of crop yield and of adaptation to a changing climate. The aim of this study was to analyse the soil water regime, as determined by climatic conditions, in combination with the intra-specific biodiversity of yield responses of grapevine to water availability. The adaptability of wine-producing cultivars to future climate was thus assessed. In a region of southern Italy the effects of climate evolution on soil water availability were determined. Through a mechanistic model, simulations of the soil water regime were performed over the study area accounting for spatial variability of soil hydrological properties. Two climate cases were considered: reference (1961-1990) and future (2021-2050). Hydrological indicators were calculated from model outputs. For several wine-producing cultivars, hydrological requirements were determined by means of yield response functions to water availability. Cultivar-specific hydrological requirements were then evaluated against hydrological indicators of soil water availability to assess adaptability, i.e. the probability that a given cultivar attains the target yield under a specific combination of climate and soil conditions. The potential spatial distribution of wine-producing cultivars was thus determined. The future climate was characterized by higher mean temperatures and by a decrease in precipitation. The variability of soil types affected cultivars adaptability. For instance, in the alluvial terraces and alluvial plain environments the soil water availability was higher and the hydrological indicators had quite similar values in both climate cases; therefore, the adaptability of the cultivars did not vary from the reference to the future climate in a large part of these environments.
- Published
- 2017
68. Discussion SOIL-2018-30, reply to Dr. Nater (RC2)
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Bonfante, Antonello, primary
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- 2018
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69. Interactive comment SOIL-2018-30-SC1
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Bonfante, Antonello, primary
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- 2018
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70. Discussion SOIL-2018-30, reply to David Rossiter (RC1)
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Bonfante, Antonello, primary
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- 2018
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71. Refining physical aspects of soil quality and soil health when exploring the effects of soil degradation and climate change on biomass production: an Italian case study
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Bonfante, Antonello, primary, Terribile, Fabio, additional, and Bouma, Johan, additional
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- 2018
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72. Climate change, variability and extreme events: risk assessment and management strategies in a Peach cultivated area in Italy
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Alfieri Silvia Maria (1), De Lorenzi Francesca (1), Basile Angelo (1), Bonfante Antonello (1), Missere Daniele(2), and Menenti Massimo (3)
- Abstract
Climate change in Mediterranean area is likely to reduce precipitation amounts and to increase temperature thus affecting the timing of development stages and the productivity of crops. Further, extreme weather events are expected to increase in the future leading to significant increase in agricultural risk. Some strategies for effectively managing risks and adapting to climate change involve adjustments to irrigation management and use of different varieties. We quantified the risk on Peach production in an irrigated area of "Emilia Romagna" region ( Italy) taking into account the impact on crop yield due to climate change and variability and to extreme weather events as well as the ability of the agricultural system to modulate this impact (adaptive capacity) through changes in water and crop management. We have focused on climatic events causing insufficient water supply to crops, while taking into account the effect of climate on the duration and timing of phenological stages. Further, extreme maximum and minimum temperature events causing significant reduction of crop yield have been considered using phase-specific critical temperatures. In our study risk was assessed as the product of the probability of a damaging event (hazard), such as drought or extreme temperatures, and the estimated impact of such an event (vulnerability). To estimate vulnerability we took into account the possible options to reduce risk, by combining estimates of the sensitivity of the system (negative impact on crop yield) and its adaptive capacity. The latter was evaluated as the relative improvement due to alternate management options: the use of alternate varieties or the changes in irrigation management. Vulnerability was quantified using cultivar-specific thermal and hydrologic requirements of a set of cultivars determined by experimental data and from scientific literature. Critical temperatures determining a certain reduction of crop yield have been estimated and used to assess thermal hazard and vulnerability in sensitive phenological stages. Cultivar-specific yield response functions to water availability were used to assess the reduction of yield for a determinate management option. Downscaled climate scenarios have been used to calculate indicators of soil water availability and thermal times and to evaluate the variability of crop phenology in combination with critical temperatures. Two climate scenarios were considered: reference (1961-90) and future (2021-2050) climate, the former from climatic statistics on observed variables, and the latter from statistical downscaling of general circulation models (AOGCM). Management options were defined by combinations of irrigation strategies (optimal, rainfed and deficit) with use of alternate varieties. As regards hydrologic conditions, risk assessment has been done at landscape scale in all soil units within each study area. The mechanistic model SWAP (Soil-Water-Atmosphere-Plant model) of water flow in the soil-plantatmosphere system was used to describe the hydrological conditions in response to climate and irrigation. Different farm management options were evaluated. In a moderate water shortage scenario, deficit irrigation was an effective strategy to cope with climate change risks. In a severe water shortage scenario, the study showed the potentiality of intra-specific biodiversity to reduce risk of yield losses, although costs should be evaluated against the benefits of each specific management option. The work was carried out within the Italian national project AGROSCENARI funded by the Ministry for Agricultural, Food and Forest Policies (MIPAAF, D.M. 8608/7303/2008)
- Published
- 2014
73. Adaptation options to future climate of maize crop in Southern Italy examined using thermal sums
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Di Tommasi Paul (1), Alfieri Silvia Maria (1), Bonfante Antonello, Basile Angelo, De Lorenzi Francesca, and Menenti Massimo (2)
- Abstract
Future climate scenarios predict substantial changes in air temperature within a few decades and agriculture needs to increase the capacity of adaptation both by changing spatial distribution of crops and shifting timing of management. In this context the prediction of future behaviour of crops with respect to present climate could be useful for farm and landscape management. In this work, thermal sums were used to simulate a maize crop in a future scenario, in terms of length of the growing season and of intervals between the main phenological stages. The area under study is the Sele plain (Campania Region), a pedo-climatic homogeneous area, one of the most agriculturally advanced and relevant flatland in Southern Italy. Maize was selected for the present study since it is extensively grown in the Sele Plain for water buffalofeeding,. Daily time-series of climatic data of the area under study were generated within the Italian project AGROSCENARI, and include maximum and minimum temperature and precipitation. The 1961-1990 and the 1998-2008 periods were compared to a future climate scenario (2021-2050). Future time series were generated using a statistical downscaling technique (Tomozeiu et al., 2007) from general circulation models (AOGCM). Differences in crop development length were calculated for different maize varieties under 3 management options for sowing time: custom date (typical for the area), before and after custom date. The interactions between future thermal regime and the length of growing season under the different management options were analyzed. Moreover, frequency of spells of high temperatures during the anthesis was examined. The feasibility of the early sowing option was discussed in relation with field trafficability at the beginning of the crop cycle. The work was carried out within the Italian national project AGROSCENARI funded by the Ministry for Agricultural, Food and Forest Policies (MIPAAF, D.M. 8608/7303/2008)
- Published
- 2012
74. Assessing climate change impacts on an irrigation scheme by hydrological modeling
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Bonfante Antonello, SIlvia Maria Alfieri, Maria Riccardi, Angelo Basile, Paul di Tommasi, Massimo Menenti, and Francesca De Lorenzi
- Published
- 2012
75. A plant's perspective of extremes : terrestrial plant responses to changing climatic variability
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Reyer, Christopher P. O., Leuzinger, Sebastian, Rammig, Anja, Wolf, Annett, Bartholomeus, Ruud P., Bonfante, Antonello, de Lorenzi, Francesca, Dury, Marie, Gloning, Philipp, Abou Jaoude, Renee, Klein, Tamir, Kuster, Thomas M., Martins, Monica, Niedrist, Georg, Riccardi, Maria, Wohlfahrt, Georg, de Angelis, Paolo, de Dato, Giovanbattista, Francois, Louis, Menzel, Annette, Pereira, Marizia, Reyer, Christopher P. O., Leuzinger, Sebastian, Rammig, Anja, Wolf, Annett, Bartholomeus, Ruud P., Bonfante, Antonello, de Lorenzi, Francesca, Dury, Marie, Gloning, Philipp, Abou Jaoude, Renee, Klein, Tamir, Kuster, Thomas M., Martins, Monica, Niedrist, Georg, Riccardi, Maria, Wohlfahrt, Georg, de Angelis, Paolo, de Dato, Giovanbattista, Francois, Louis, Menzel, Annette, and Pereira, Marizia
- Abstract
We review observational, experimental, and model results on how plants respond to extreme climatic conditions induced by changing climatic variability. Distinguishing between impacts of changing mean climatic conditions and changing climatic variability on terrestrial ecosystems is generally underrated in current studies. The goals of our review are thus (1) to identify plant processes that are vulnerable to changes in the variability of climatic variables rather than to changes in their mean, and (2) to depict/evaluate available study designs to quantify responses of plants to changing climatic variability. We find that phenology is largely affected by changing mean climate but also that impacts of climatic variability are much less studied, although potentially damaging. We note that plant water relations seem to be very vulnerable to extremes driven by changes in temperature and precipitation and that heatwaves and flooding have stronger impacts on physiological processes than changing mean climate. Moreover, interacting phenological and physiological processes are likely to further complicate plant responses to changing climatic variability. Phenological and physiological processes and their interactions culminate in even more sophisticated responses to changing mean climate and climatic variability at the species and community level. Generally, observational studies are well suited to study plant responses to changing mean climate, but less suitable to gain a mechanistic understanding of plant responses to climatic variability. Experiments seem best suited to simulate extreme events. In models, temporal resolution and model structure are crucial to capture plant responses to changing climatic variability. We highlight that a combination of experimental, observational, and/or modeling studies have the potential to overcome important caveats of the respective individual approaches.
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- 2013
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76. Determinazione della capacità protettiva dei suoli dall’inquinamento da nitrati di origine agricola: confronto fra modelli di simulazione
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Bonfante, Antonello and Bonfante, Antonello
- Abstract
Il lavoro di tesi si è posto l’obbiettivo di analizzare la capacità protettiva dei suoli, alla scala territoriale, relativa all’inquinamento delle falde da nitrati di origine agricola attraverso l’utilizzo di modelli di simulazioni I modelli utilizzati nel lavoro di ricerca (SWAP-ANIMO e Cropsyst) simulano il moto dell’acqua ed il ciclo dell’azoto nel suolo e rappresentano ampiamente il panorama dei modelli presenti in letteratura dal punto di vista della concettualizzazione dei processi a carico della soluzione circolante nel suolo e del ciclo dell’azoto. La funzionalità e la sensibilità dei modelli è stata valutata attraverso la calibrazione e la validazione in due siti di studio(Mantova e Lodi) con caratteristiche pedologiche e gestionali diverse. Il sito di Mantova è un ambiente sottoposto ad agricoltura intensiva con lavorazioni classiche (aratura a 45 cm), produzioni di mais elevate (>30 t/ha di biomassa) in presenza di falda al contorno inferiore mentre il sito di Lodi è un ambiente gestito a minimum tillage (lavorazioni a 20 cm) in assenza di falda al contorno inferiore per la produzione di mais (produzioni di poco superiori alle 21 t/ha di biomassa). I modelli sono stati calibrati e validati nei due siti confrontando le misure dei contenuti idrici e dei contenuti di azoto nitrico (misure, effettuate nell’ambito del progetto ARMOSA dell’ERSAF negli anni 2002-2003-2004 per il sito di Mantova e nel 2002-2003 nel sito i Lodi) a diversa profondità ed i valori di stimati dalle simulazioni. La valutazione delle applicazioni modellistiche è effettuata attraverso l’uso di indici di efficienza (RMSE;R;CD;CRM;EF). I modelli, una volta calibrati e validati, sono stati applicati in due schemi alternativi proposti per la determinazione della capacità protettiva dei suoli nella provincia di Lodi. Un primo schema basato su un approccio classico di land evaluation in cui viene integrato l’utilizzo dei modelli (approccio integrato) dei suoli, mentre il secondo sarà un approc
- Published
- 2006
77. A plant's perspective of extremes: terrestrial plant responses to changing climatic variability
- Author
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Reyer, Christopher P.O., primary, Leuzinger, Sebastian, additional, Rammig, Anja, additional, Wolf, Annett, additional, Bartholomeus, Ruud P., additional, Bonfante, Antonello, additional, de Lorenzi, Francesca, additional, Dury, Marie, additional, Gloning, Philipp, additional, Abou Jaoudé, Renée, additional, Klein, Tamir, additional, Kuster, Thomas M., additional, Martins, Monica, additional, Niedrist, Georg, additional, Riccardi, Maria, additional, Wohlfahrt, Georg, additional, de Angelis, Paolo, additional, de Dato, Giovanbattista, additional, François, Louis, additional, Menzel, Annette, additional, and Pereira, Marízia, additional
- Published
- 2012
- Full Text
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78. Use of Physically Based Models to Evaluate USDA Soil Moisture Classes
- Author
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Bonfante, Antonello, primary, Basile, Angelo, additional, Manna, Piero, additional, and Terribile, Fabio, additional
- Published
- 2011
- Full Text
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79. A plant's perspective of extremes: terrestrial plant responses to changing climatic variability.
- Author
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Reyer, Christopher P.O., Leuzinger, Sebastian, Rammig, Anja, Wolf, Annett, Bartholomeus, Ruud P., Bonfante, Antonello, de Lorenzi, Francesca, Dury, Marie, Gloning, Philipp, Abou Jaoudé, Renée, Klein, Tamir, Kuster, Thomas M., Martins, Monica, Niedrist, Georg, Riccardi, Maria, Wohlfahrt, Georg, de Angelis, Paolo, de Dato, Giovanbattista, François, Louis, and Menzel, Annette
- Subjects
CLIMATE change ,BIOTIC communities ,GLOBAL environmental change ,FLOODS ,HEAT waves (Meteorology) ,BIOLOGY - Abstract
We review observational, experimental, and model results on how plants respond to extreme climatic conditions induced by changing climatic variability. Distinguishing between impacts of changing mean climatic conditions and changing climatic variability on terrestrial ecosystems is generally underrated in current studies. The goals of our review are thus (1) to identify plant processes that are vulnerable to changes in the variability of climatic variables rather than to changes in their mean, and (2) to depict/evaluate available study designs to quantify responses of plants to changing climatic variability. We find that phenology is largely affected by changing mean climate but also that impacts of climatic variability are much less studied, although potentially damaging. We note that plant water relations seem to be very vulnerable to extremes driven by changes in temperature and precipitation and that heatwaves and flooding have stronger impacts on physiological processes than changing mean climate. Moreover, interacting phenological and physiological processes are likely to further complicate plant responses to changing climatic variability. Phenological and physiological processes and their interactions culminate in even more sophisticated responses to changing mean climate and climatic variability at the species and community level. Generally, observational studies are well suited to study plant responses to changing mean climate, but less suitable to gain a mechanistic understanding of plant responses to climatic variability. Experiments seem best suited to simulate extreme events. In models, temporal resolution and model structure are crucial to capture plant responses to changing climatic variability. We highlight that a combination of experimental, observational, and/or modeling studies have the potential to overcome important caveats of the respective individual approaches. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
80. Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine.
- Author
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Zhou, Lei, Luo, Ting, Du, Mingyi, Chen, Qiang, Liu, Yang, Zhu, Yinuo, He, Congcong, Wang, Siyu, Yang, Kun, and Bonfante, Antonello
- Subjects
CONSTRUCTION & demolition debris ,MACHINE learning ,BUILDING sites ,REMOTE sensing - Abstract
Machine learning has been successfully used for object recognition within images. Due to the complexity of the spectrum and texture of construction and demolition waste (C&DW), it is difficult to construct an automatic identification method for C&DW based on machine learning and remote sensing data sources. Machine learning includes many types of algorithms; however, different algorithms and parameters have different identification effects on C&DW. Exploring the optimal method for automatic remote sensing identification of C&DW is an important approach for the intelligent supervision of C&DW. This study investigates the megacity of Beijing, which is facing high risk of C&DW pollution. To improve the classification accuracy of C&DW, buildings, vegetation, water, and crops were selected as comparative training samples based on the Google Earth Engine (GEE), and Sentinel-2 was used as the data source. Three classification methods of typical machine learning algorithms (classification and regression trees (CART), random forest (RF), and support vector machine (SVM)) were selected to classify the C&DW from remote sensing images. Using empirical methods, the experimental trial method, and the grid search method, the optimal parameterization scheme of the three classification methods was studied to determine the optimal method of remote sensing identification of C&DW based on machine learning. Through accuracy evaluation and ground verification, the overall recognition accuracies of CART, RF, and SVM for C&DW were 73.12%, 98.05%, and 85.62%, respectively, under the optimal parameterization scheme determined in this study. Among these algorithms, RF was a better C&DW identification method than were CART and SVM when the number of decision trees was 50. This study explores the robust machine learning method for automatic remote sensing identification of C&DW and provides a scientific basis for intelligent supervision and resource utilization of C&DW. [ABSTRACT FROM AUTHOR]
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- 2021
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81. Irrigation Optimization under a Limited Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields.
- Author
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Polinova, Maria, Salinas, Keren, Bonfante, Antonello, and Brook, Anna
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IRRIGATION water ,IRRIGATION scheduling ,WATER management ,WATER supply ,NORMALIZED difference vegetation index ,IRRIGATION ,WATER distribution - Abstract
The ability to effectively develop agriculture with limited water resources is an important strategic objective to face future climate change and to achieve the Sustainable Development Goal 2 (SDG2) of the United Nations. Since new conditions increasingly point to a limited water supply, the aim of modern irrigation management is to be sure to maximize the crop yield and minimize water use. This study aims to explore the advantages of the traditional agronomic approach, agro-hydrological model and field feedback obtained by spectroscopy, to optimize irrigation water management in the example of a cotton field. The study was conducted for two summer growing seasons in 2015 and 2016 in Kibbutz Hazorea, near Haifa, Israel. The irrigation schedule was developed by farmers using weather forecasts and corrected by the results of field inspections. The Soil Water Atmosphere Plant (SWAP) model was applied to optimize seasonal water distribution based on different criteria (critical soil pressure head and allowable daily stress). A new optimization algorithm for irrigation schedules by weather forecasts and vegetation indices was developed and presented in this paper. A few indices related to physical parameters and plant health (Normalized Difference Vegetation Index, Red Edge Normalized Difference Vegetation Index, Modified Chlorophyll Absorption Ratio Index 2, and Photochemical Reflectance Index) were considered. Red Edge Normalized Difference Vegetation Index proves itself as a suitable parameter for monitoring crop state due to its clear-cut response to irrigation treatments and was introduced in the developed algorithm. The performance of the considered irrigation scheduling approaches was assessed by a simulation model application for cotton fields in 2016. The results show, that the irrigation schedule developed by farmers did not compensate for the absence of precipitation in spring, which led to long-term lack of water during crop development. The optimization developed by SWAP allows determining the minimal amount of water which ensures appropriate yield. However, this approach could not take into account the non-linear effect of the lack of water at specific phenological stages on the yield. The new algorithm uses the minimal sufficient seasonal amount of water obtained from SWAP optimization. The approach designed allows one to prevent critical stress in cotton and distribute water in conformity with agronomic practice. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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82. Site-specific management in viticulture across space and time: from plant-environment interactions to the end product.
- Author
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Brillante, Luca, Bonfante, Antonello, and Priori, Simone
- Subjects
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SUSTAINABLE agriculture , *SPACETIME , *FARM produce , *VITICULTURE , *AGRICULTURAL productivity , *CROP growth , *VINEYARDS - Abstract
The identification and classification of agricultural sites with uniform characteristics from a physical point of view, also called zones, or in strict viticulture terms basic terroir units (BTUs), has crucial importance in precision and sustainable agriculture, with positive economic implications. Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of sites or BTU has shifted from a largely descriptive regional science to a more applied, technical research field. The explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been a greater adoption of these technologies, but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Agricultural zoning procedures applied at different spatial scales (from regional to farm or field scale) enable to support and optimize site-specific planning and management of vineyard agroecosystems. A site-specific management is expected to improve efficiency, while the optimization of agricultural decisions according to the site characteristics is likely to reveal the peculiarities of the product that depend on these characteristics. This management is dynamic, as changing is the environment and the market. There is a need for new multidisciplinary approaches in terroir analysis and zoning, to study soil, plant and climate systems in relation to the characteristics of agricultural products, to explore their resilience to climate change by means of quantitative dynamic and spatial modeling approaches. This work wants to group the results of previous papers of the authors relating to site-specific approach of viticultural terroir zoning. [ABSTRACT FROM AUTHOR]
- Published
- 2019
83. LANDSUPPORT DSS approach for crop adaptation evaluation to the combined effect of climate change and soil spatial variability.
- Author
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Manna, Piero, Bonfante, Antonello, Perego, Alessia, Acutis, Marco, Jahanshiri, Ebrahim, Ali, Sayed Azam, Basile, Angelo, and Terribile, Fabio
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CLIMATE change , *DECISION support systems , *ENVIRONMENTAL policy , *SUSTAINABLE agriculture , *RURAL development - Abstract
LANDSUPPORT is a Horizon2020 project, funded by the European Commission, stands for "Development of Integrated Web-Based Land Decision Support System Aiming Towards the Implementation of Policies for Agriculture and Environment" (www.landsupport.eu)The project aims at developing a web-based, open-access GeoSpatial Decision Support System (S-DSS) devoted to reconciling agriculture, environmental sustainability and policy implementation.Overall, the S-DSS will contribute to the development and implementation of land use policies in Europe, and it will promote an integrated and participatory approach towards rural development and environmental policies allowing, among others, evaluation of trade-offs between different land uses.A specific tool will be implemented to face the current issue of food security and optimization of land use in agriculture for addressing the Sustainable Development Goal 2 (Zero Hunger) of United Nations. The system will be able to identify, at different spatial scale, the crop adaptation (e.g. yield production) to climate change and therefore answering to different stackeholder requirements. The implemented method is based on CROPBASE approach, modified in a flexible Hybrid Land Evaluation approach, able to integrate qualitative (e.g. standard Land Evaluation system) and quantitative (simulation modelling) methods under climate change conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2019
84. LCIS: a DSS irrigation system for water use efficiency improvement in precision agriculture: a maize case study.
- Author
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Bonfante, Antonello, Monaco, Eugenia, Basile, Angelo, Manna, Piero, Matteucci, Giorgio, Buonanno, Maurizio, Autovino, Dario, Scognamiglio, Solange, Cantilena, Giovanni, Tosca, Maurizio, De Michele, Carlo, Bolognesi, Salvatore Falanga, Salinas, Keren, and Brook, Anna
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WATER efficiency , *IRRIGATION water , *IRRIGATION management , *WATER in agriculture , *IRRIGATION farming , *SUSTAINABLE development , *CORN , *SPATIAL ability - Abstract
The United Nations and FAO, through the Sustainable Development Goal 2 (Zero Hunger) and the Sustainable Crop Production Intensification (SCPI) Strategic Objective A underline the need for an increase of crop productivity, based on science-based sustainable practices, able to improve resource use efficiency (water and nutrient) in a context of Climate Change.The efficient use of water in agriculture is one of the most important agricultural challenges that modern technologies are helping to achieve through Irrigation Advisory Services (IAS) and Decision Support Systems (DSS).These last are considered powerful management instruments able to help the farmer to achieve the best efficiency in irrigation water use and to increase its incomes through the achievement of the highest obtainable crop yield.In this context, within the project "An advanced low cost system for farm irrigation support – LCIS" (a joint Italian-Israeli R&D project), a fully transferable DSS for irrigation support, based on three different methodologies representative of the state of the art in irrigation management tools (W-Tens, proximal sensing; IRRISAT®, remote sensing; W-Mod, simulation modelling of SPA system), has been developed.However, the implementing of appropriate management procedures is not always straightforward in practices and each possible approach to irrigation support application presents pros and cons in the application, due to different spatial scale applicability, costs and complexity of use.For this reason, the LCIS-DSS tools have been evaluated, in terms of their ability to support the farmer in irrigation management, in a real applicative case study on maize in a private farm of southern Italy in the season 2018 on Andosols. The obtained results, have shown that the compared approaches are able to realize the maximum obtainable maize production, however, the method based on proximal sensing (W-Tens) supply 40% more water compared to the other two methods. IRRISAT® and W-Mod approaches represent the best solution in terms of IWUE, moreover the former has the advantage to work without soil spatial information, however both methods need a high level of user expertise and consequently a support of external service providers. Integration between different tools represents the future opportunity to improve water use efficiency in agriculture (e.g. field sensors and remote sensing).Keywords: precision agriculture, DSS for irrigation, water use efficiency, maize, SDG [ABSTRACT FROM AUTHOR]
- Published
- 2019
85. Evaluating the effect of a biostimulant on growth performance and productivity of Vitis vinifera 'Aglianico' through a multidisciplinary approach tracing functional traits in the continuum soil-plant-atmosphere.
- Author
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De Micco, Veronica, Cirillo, Chiara, Arena, Carmen, Battipaglia, Giovanna, Erbaggio, Arturo, Caputo, Rosanna, Rouphael, Youssef, Amitrano, Chiara, Vitale, Ermenegilda, Niccoli, Francesco, Brook, Anna, and Bonfante, Antonello
- Published
- 2019
86. Understanding the influence of slope preparation on soil profile and grapevine responses for vine implantation: a case study on Aglianico.
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De Micco, Veronica, Battipaglia, Giovanna, Erbaggio, Arturo, De Mascellis, Roberto, and Bonfante, Antonello
- Published
- 2019
87. Soil hydraulic properties and slope steepness: What does play the dominant role in vine water stress? A case study on "Aglianico" vineyard grow in a Mediterranean area.
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Autovino, Dario, Albrizio, Rossella, Basile, Angelo, Bonfante, Antonello, Buonomo, Roberta, De Mascellis, Roberto, Giorio, Pasquale, Guida, Gianpiero, Manna, Piero, and Oliva, Marco
- Published
- 2019
88. The evaluation of the effectiveness of the irrigation realized by three different irrigation support approaches on maize by means of simulation modelling.
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Monaco, Eugenia, Manna, Piero, De Mascellis, Roberto, Basile, Angelo, and Bonfante, Antonello
- Published
- 2019
89. Clim4Vitis Workshop, Florence - 09-10 July 2019
- Author
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Bonfante, Antonello, Cappelli, Giovanni, Cassardo, Claudio, Marletto, Vittorio, Mattii, Giovan Battista, Moriondo, Marco, Salvi, Linda, Santos, João, and Spanna, Federico
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Viticulture ,13. Climate action ,Climate change ,Crop models ,Precision Agriculture - Abstract
The Clim4Vitisworkshop held in Florence was focused on the methodologies used for assessing climate change impacts in viticultural sector. The keynote speakers provided an overview of themethods and tools currently applied for estimating grapevine growth and production. 
90. Clim4Vitis Workshop, Florence - 09-10 July 2019
- Author
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Bonfante, Antonello, Cappelli, Giovanni, Cassardo, Claudio, Marletto, Vittorio, Mattii, Giovan Battista, Moriondo, Marco, Salvi, Linda, Santos, João, and Spanna, Federico
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Viticulture ,13. Climate action ,Climate change ,Crop models ,Precision Agriculture - Abstract
The Clim4Vitis workshop held in Florence was focused on the methodologies used for assessing climate change impacts in viticultural sector. The keynote speakers provided an overview of the methods and tools currently applied for estimating grapevine growth and production.
91. The crucial role of the soil in irrigated crop under water scarcity condition: a case study in Lebanon.
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Bonfante, Antonello, Sellami, Mohamed housemeddine, Abi Saab, Marie Therese, Albrizio, Rossella, Basile, Angelo, Giorio, Pasquale, Manna, Piero, Monaco, Eugenia, De Mascellis, Roberto, and Bouma, Johan
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IRRIGATED soils , *WATER shortages , *AGROHYDROLOGY , *CROPS & soils , *CASE studies , *DEFICIT irrigation - Published
- 2018
92. How the soil spatial scale information impacts on the strategies to achieve the SDG2 aim at 2030.
- Author
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Monaco, Eugenia, Di Maria, Mario, Manna, Piero, Basile, Angelo, Bucchignani, Edoardo, Mercogliano, Paola, and Bonfante, Antonello
- Published
- 2018
93. Effect of multi-level and multi-scale spectral data source on vineyard state assessment
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Eugenia Monaco, Haitham Ezzy, Anna Brook, Maurizio Buonanno, Rossella Albrizio, Pasquale Giorio, Arturo Erbaggio, Carmen Arena, Francesca Petracca, Chiara Cirillo, Veronica De Micco, Antonello Bonfante, EGU, Monaco, Eugenia, Ezzy, Haitham, Brook, Anna, Buonanno, Maurizio, Albrizio, Rossella, Giorio, Pasquale, Erbaggio, Arturo, Arena, Carmen, Petracca, Francesca, Cirillo, Chiara, DE MICCO, Veronica, and Bonfante, Antonello
- Abstract
Leaf water potential (LWP) is widely used to assess plant water status and it is commonly used by growers to make immediate crop and water management decisions. However, LWP measurement via direct method presents challenges as it is labour, time intensive and represents leaf-level conditions for sampling of small vineyard block. An alternative approach is using pigment concentration as a proxy for the canopy’s water status. Spectral data methods have been applied to monitor and evaluate crops’ biophysical variables. In this study, a model to predict LWP using via UAS equipped with a VIS-NIR multispectral camera and trained machine learning algorithm, is developed and tested. The model was tested on three dates in 2020 in a commercial vineyard in the Tufo Wine Region. Three modelling approaches (partial least square regression PLSR, support vector machine SVM, artificial neural network ANN) and two input datasets (combining spectral data and spectral vegetation indices) were used to estimate LWP. All approaches predicted LWP-based on spectral data classified from high to low; the results were consistent in direct proportion to the laboratory results and performed the best results. This research shows the potential for estimating LWP at a vineyard scale based on UAS information, represents a good and relatively cheap solution to assess plant status spatial distribution and therefore it could provide a direct way to achieve precise agricultural vineyard.
- Published
- 2023
94. The GREASE project to unravel how soil and canopy management can mitigate climate change effects on Greco grapevine
- Author
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Chiara Cirillo, Antonello Bonfante, Carmen Arena, Maurizio Buonanno, Francesca Petracca, Chiara Amitrano, Nicola Damiano, Arturo Erbaggio, Luigi Pagano, Rosanna Caputo, Veronica De Micco, AAVV, Cirillo, Chiara, Bonfante, Antonello, Arena, Carmen, Buonanno, Maurizio, Petracca, Francesca, Amitrano, Chiara, Damiano, Nicola, Erbaggio, Arturo, Pagano, Luigi, Caputo, Rosanna, and DE MICCO, Veronica
- Subjects
canopy ,'Greco' (Vitis vinifera L. subsp. vinifera) ,GREASE project ,soil - Abstract
The pedo-climatic conditions can determine the grape varieties that can be cultivated as well as have deep influence on wine quality. Climate change has already caused significant warming and drought in most grape-growing areas of the world, particularly in the Mediterranean area where viticulture is suffering yield and grape quality reductions due to the increased frequency and duration of drought periods. Ongoing climate change is aggravating some critical issues in the production of the autochthonous grape variety 'Greco' (Vitis vinifera L. subsp. vinifera), widely cultivated in the Campania Region (southern Italy) and used alone or blend in many quality label wines. Nowadays, there is a high risk for the economic sustainability of Greco cultivation due to the following main issues: reduced vine productivity, low selling price of grapes, and territory fragmentation. Such criticisms induce the abandonment of small/medium-sized farms due to either crop conversion or consolidation into larger farms.Although pedo-climatic conditions can affect vineyard productivity and grape quality primarily, the application of adequate cultivation techniques, such as soil and canopy management, can help alleviating the increasing constrains to vineyard sustainability. In the framework of the Rural Development Programme 2014-2020, Campania Region funded the GREASE project to contribute to the main topic of improving grapevine productivity, resource use efficiency, and resilience for the sustainable management of vineyards.The general objective of Grease project is to improve the potential production of Greco concerns the management of major cultivation practices in viticulture by the realization of a cultivar-specific model for vine canopy and soil management. Optimization of such cultivation factors is important in order to achieve a good vegetative and reproductive balance that enhances grape and wine quality, improves farm profitability and finally provides environmental sustainability. The project is carried out in a Greco experimental vineyard of Feudi di San Gregorio winery in southern Italy (Avellino, Campania region). One of the main activities is to analyse the effect of soil management and vine training systems on the continuum soil-plant-atmosphere system. The growth and the eco-physiological traits of vines were monitored in the main phenological phases by measuring morphological parameters, fertility, leaf gas-exchanges, chlorophyll a fluorescence emission, leaf water potentials, and leaf anatomical characteristics. The meteorological data and soil water content were collected through weather stations and time-domain reflectometry (TDR) technique. Proximal sensing techniques were applied to monitor the whole vineyard performances. The production of each experimental plot was evaluated in terms of chemical characterization of musts and wines in order to assess the treatments-induced changes in oenological traits.The preliminary results of two-years experimental trials are presented to highlighting how the canopy and soil management can influence the vine eco-physiological behavior and productive performance.An increased understanding of how cultivation factors influence the efficient use of available resources in the Greco vineyard will allow know-how transfer to other grapevine productive systems.
- Published
- 2022
95. Monitoring Falanghina grapevine acclimation to pedo-climatic spatial variability through a multidisciplinary approach tracing functional traits in the continuum soil-plant-atmosphere
- Author
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Nicola Damiano, Chiara Cirillo, Antonello Bonfante, Giovanna Battipaglia, Carmen Arena, Arturo Erbaggio, Francesca Petracca, Paolo Cherubini, Marco Giulioli, Veronica De Micco, EGU, Damiano, Nicola, Cirillo, Chiara, Bonfante, Antonello, Battipaglia, Giovanna, Arena, Carmen, Erbaggio, Arturo, Petracca, Francesca, Cherubini, Paolo, Giulioli, Marco, and DE MICCO, Veronica
- Subjects
continuum soil-plant-atmosphere ,Falanghina grapevine ,pedo-climatic spatial variability - Abstract
Climate-change-driven increasing temperature and frequency of prolonged drought periods are affecting vine growth and physiological behaviour in the Mediterranean region, with consequences on berry yield and quality. In this scenario, there is increasing need to improve the knowledge on how plants react to environmental fluctuations and forecast possible responses to climate changes. Moreover, the plasticity of morpho-functional aspects, on which vine acclimation relies, can vary according to the spatial variability of some environmental factors such as soil properties and microclimate in the vineyard.The objective of this study was to analyse vine growth and production performance in four vineyards of Vitis vinifera L. subsp. vinifera ‘Falanghina’ located in southern Italy (La Guardiense farm, Campania region) subjected to different pedo-climatic conditions but characterized by vines of similar age, training system (double Guyot), spacing (≈ 4545 vines/ha). Climatic parameters were continuously monitored in each of the vineyard, through meteorological stations and FDR probes installed at three soil depths. The vineyard performance was monitored over three years characterized by different climatic conditions. Vine growth and production was monitored during the three years by quantifying morphological and eco-physiological parameters, measured in the main phenological phases, including: plant architecture, fertility, leaf anatomical traits, and grapevine photosynthetic performance through measurements in vivo of leaf gas exchanges and fluorescence chlorophyll emission. The plant nutritional status was characterized by analyzing minerals (anions, cations) and organic acids in leaves and berries. The analysis of stable isotopes in leaves, wood and must was performed to estimate the whole plant water use efficiency. Berry quality was evaluated by measuring soluble solids, pH, titratable acidity, malic acid, phenolics, anthocyanins, assimilable nitrogen etc. Microvinifications were also performed to evaluate the variability of oenological traits as well as geomorphology and pedological analyses to assess soil properties. Finally, a retrospective analysis through the analysis of anatomical and isotopic traits in tree-ring series was also carried out to achieve information on the past plant eco-physiological behaviour.The overall analysis of data highlighted that the four vineyards can be grouped into two clusters on the basis of growth and production performance as well as of must quality, due to the spatial variability of soil properties leading to different real water availability for the plants, the different microclimates either exacerbated or mitigated by the different cultivation practices and soil management. The improvement of knowledge about the plasticity of morphofunctional traits in different pedo-climatic contexts can support forecasting future response to climatic stress conditions thus helping the management of vineyards.
- Published
- 2022
96. How Leaf Vein and Stomata Traits Are Related with Photosynthetic Efficiency in Falanghina Grapevine in Different Pedoclimatic Conditions
- Author
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Nicola Damiano, Carmen Arena, Antonello Bonfante, Rosanna Caputo, Arturo Erbaggio, Chiara Cirillo, Veronica De Micco, Damiano, Nicola, Arena, Carmen, Bonfante, Antonello, Caputo, Rosanna, Erbaggio, Arturo, Cirillo, Chiara, and De Micco, Veronica
- Subjects
climate change ,leaf trait ,vein and stomata traits ,Ecology ,photosynthesi ,Vitis vinifera ,fungi ,climate changes ,leaf traits ,photosynthesis ,food and beverages ,Plant Science ,Ecology, Evolution, Behavior and Systematics - Abstract
The increase in severe drought events due to climate change in the areas traditionally suitable for viticulture is enhancing the need to understand how grapevines regulate their photosynthetic metabolism in order to forecast specific cultivar adaptive responses to the changing environment. This study aims at evaluating the association between leaf anatomical traits and eco-physiological adjustments of the ‘Falanghina’ grapevine under different microclimatic conditions at four sites in southern Italy. Sites were characterized by different pedoclimatic conditions but, as much as possible, were similar for plant material and cultivation management. Microscopy analyses on leaves were performed to quantify stomata and vein traits, while eco-physiological analyses were conducted on vines to assess plant physiological adaptation capability. At the two sites with relatively low moisture, photosynthetic rate, stomatal conductance, photosystem electron transfer rate, and quantum yield of PSII, linear electron transport was lower compared to the other two sites. Stomata size was higher at the site characterized by the highest precipitation. However, stomatal density and most vein traits tended to be relatively stable among sites. The number of free vein endings per unit leaf area was lower in the two vineyards with low precipitation. We suggest that site-specific stomata and vein traits modulation in Falanghina grapevine are an acclimation strategy that may influence photosynthetic performance. Overall in-depth knowledge of the structure/function relations in Falanghina vines might be useful to evaluate the plasticity of this cultivar towards site-specific management of vineyards in the direction of precision viticulture.
- Published
- 2022
97. Counteracting the Negative Effects of Copper Limitations Through the Biostimulatory Action of a Tropical Plant Extract in Grapevine Under Pedo-Climatic Constraints
- Author
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Chiara Cirillo, Arturo Erbaggio, Veronica De Micco, Antonello Bonfante, Carmen Arena, Rosanna Caputo, Francesca Petracca, Sara De Francesco, Chiara Amitrano, Ermenegilda Vitale, Youssef Rouphael, Cirillo, Chiara, Arena, Carmen, Rouphael, Youssef, Caputo, Rosanna, Amitrano, Chiara, Petracca, Francesca, De Francesco, Sara, Vitale, Ermenegilda, Erbaggio, Arturo, Bonfante, Antonello, and DE MICCO, Veronica
- Subjects
0106 biological sciences ,0301 basic medicine ,plant-based biostimulant, copper, eco-physiology, functional anatomical traits, soil-plant-atmosphere continuum, Vitis vinifera L ,Berry ,Biology ,Photosynthesis ,01 natural sciences ,Vineyard ,eco-physiology ,03 medical and health sciences ,Vitis vinifera L ,Yield (wine) ,Plant defense against herbivory ,lcsh:Environmental sciences ,soil-plant-atmosphere continuum ,General Environmental Science ,lcsh:GE1-350 ,fungi ,plant-based biostimulant ,food and beverages ,Ripening ,Arid ,Soil plant atmosphere continuum ,Horticulture ,030104 developmental biology ,copper ,functional anatomical traits ,010606 plant biology & botany - Abstract
In southern Mediterranean areas, vineyards are facing the combination of increasing air temperature, drought and frequency of extreme events (e.g., heat waves) due to climate change. Since most of the berry growth and ripening phases occur during the aridity period, such environmental constraints are responsible for limitations in yield and berry quality. Within this scenario, to achieve vineyard sustainability, renewed approaches in vineyard management have been proposed and the use of plant biostimulants seems a prominent and environmental friendly practice. The aim of this study was to test four combinations of a tropical plant extract and conventional chemicals for disease control on morpho-anatomical, physiological, biochemical and berry quality inVitis viniferaL. subsp.vinifera“Aglianico.” In particular, we aimed to evaluate the possibility to counteract the negative effects of the reductions in copper distribution, by applying the tropical plant extract enriched with: micronutrients, enzymes involved in the activation of natural defense, aminoacids, and vitamins. The halved dose of Cu in combination with the tropical plant extract allowed maintaining a reduced vegetative vigor. In the second year of treatment, the addition of the plant extract significantly improved leaf gas exchanges and photochemistry as well as the synthesis of photosynthetic pigments. At berry level, the plant extract induced an increase in phenolics accompanied by a decrease in soluble sugars. The overall results showed that the expected differences in growth performance and productivity in vines are linked to different eco-physiological and structural properties induced by the various treatments. The tropical plant extract also primed plant defenses at the leaf and fruit levels, mainly due to modifications of some structural and biochemical traits, respectively.
- Published
- 2021
98. Evaluation of the effects of future climate change on grape quality through a physically based model application: a case study for the Aglianico grapevine in Campania region, Italy
- Author
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Silvia Maria Alfieri, Pasquale Giorio, Eugenia Monaco, Luigi Moio, R. De Mascellis, Fabio Terribile, Antonello Bonfante, Rossella Albrizio, Giuliano Langella, Angelita Gambuti, Piero Manna, Angelo Basile, Bonfante, Antonello, Alfieri, S. M., Albrizio, R., Basile, A., DE MASCELLIS, Roberto, Gambuti, Angelita, Giorio, P., Langella, Giuliano, Manna, Piero, Monaco, E., Moio, Luigi, and Terribile, Fabio
- Subjects
010504 meteorology & atmospheric sciences ,Climate Change ,Population ,Climate change ,01 natural sciences ,Grape quality ,Effects of global warming ,Botany ,education ,0105 earth and related environmental sciences ,Wine ,education.field_of_study ,CWSI ,Phenology ,SWAP ,Plant Water status ,04 agricultural and veterinary sciences ,Soil type ,Agronomy ,Soil water ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,Aglianico ,Animal Science and Zoology ,Agronomy and Crop Science ,Downscaling - Abstract
Water deficit limiting yields is one of the negative aspects of climate change. However, this applies particularly when emphasis is on biomass production (e.g. for field crops), but not necessarily for plants where quality, not quantity is most relevant. For grapevine development, mild water stress occurring during specific phenological phases is an important factor when producing good quality wines. It induces the production of anthocyanins and aroma precursors and then could offer an opportunity to increase winegrower's income. A multidisciplinary study was carried out in Campania region (Southern Italy), an area well known for high quality wine production. Growth of Aglianico grapevine cultivar, with a standard clone population on 1103 Paulsen rootstocks, was studied on two different types of soil: Calcisols and Cambisols occurring along a slope of 90 m length with 11% gradient. The agro-hydrological model SWAP was calibrated and applied to estimate soil-plant water status during three consecutive seasons (2011–2013). Crop water stress index (CWSI), as estimated by the model, was related to leaf water potential, sugar content of grape bunches and wine quality (e.g. content of tannins). For both soils, the correlations between quality measurements and CWSI were high (e.g. − 0.97** with sugar; 0.895* with anthocyanins in the grape skins). The model was also applied to explore effects of future climate conditions (2021–2051) obtained from statistical downscaling of Global Circulation Models (AOGCM) and to estimate the effect of the climate on CWSI and hence on grape quality. Effects of climate change on grape quality indicate: (i) a resilient behavior of Calcisol to produce high quality wine, (ii) a good potentiality for improving the quality wine in Cambisol. The present study represents an example of multidisciplinary approach in which soil scientists, hydro-pedologists, crop modellers, plant physiologists and oenologists have integrated their knowledge and skills in order to deal with the complex interactions among different components of an agricultural system.
- Published
- 2017
99. Soil Sealing: Quantifying Impacts on Soil Functions by a Geospatial Decision Support System
- Author
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Piero, Manna, Angelo, Basile, Antonello, Bonfante, Amedeo, D'Antonio, Carlo, De Michele, Michela, Iamarino, Giuliano, Langella, Florindo, Mileti Antonio, Pileri, Paolo, Simona, Vingiani, Fabio, Terribile, Manna, Piero, Angelo, Basile, Bonfante, Antonello, Amedeo, D'Antonio, DE MICHELE, Carlo, Iamarino, Michela, Langella, Giuliano, Mileti, Florindo Antonio, Paolo, Pileri, Vingiani, Simona, and Terribile, Fabio
- Subjects
modelling ,decision support system ,ecosystem services ,simulation ,soil sealing ,Environmental Chemistry ,Development3304 Education ,2300 ,Soil Science ,ecosystem service - Abstract
Soil sealing is considered among the most dangerous of land degradation processes on global, European and national scales. Despite important policy documents aiming to mitigate this soil threat, it currently shows no signs of abating, and current efforts often do not result in appropriate implementation of soil sealing mitigation in spatial planning, which represents the subject area governing soil sealing. In this paper, we show a spatial decision support system - based on a Geospatial Cyberinfrastructure - with the aim of applying it as an operational instrument aiming towards soil sealing mitigation. The system has the ambition to impact on those who take decision over soil sealing; typically, these are not agriculture experts but rather spatial planners. This tool, focusing on mitigating such crucial land degradation, allows the users - via the Web - to produce 'what-if' land planning scenarios thanks to the 'on-the-fly' modelling engines. Therefore, integrated geospatial quantitative data and procedures may be directly and freely used by planners. The tool has been applied to and tested in an area in the South of Italy. Results from two applications are reported: one addressing municipal planning and the other on a more detailed spatial scale. Furthermore, results include quantification of rural fragmentation, loss of soil ecosystem services and an estimate of soil sealing evolution over time. The tool was developed with the help of end users and indirectly explores a change of paradigm where soil science and landscape/urban planning work together to provide operational instruments that may be adopted by local communities in addressing soil sealing issues with a proactive approach.
- Published
- 2017
- Full Text
- View/download PDF
100. A geospatial soil-based DSS to reconcile landscape management and land protection
- Author
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Piero Manna, Angelo Basile, Antonello Bonfante, Amedeo D'Antonio, Carlo De Michele, Michela Iamarino, Giuliano Langella, Antonio Florindo Mileti, Paolo Pileri, Simona Vingiani, Fabio Terribile, European Geoscience Union, Manna, Piero, Basile, Angelo, Bonfante, Antonello, D'Antonio, Amedeo, DE MICHELE, Carlo, Iamarino, Michela, Langella, Giuliano, Mileti, FLORINDO ANTONIO, Pileri, Paolo, Vingiani, Simona, and Terribile, Fabio
- Published
- 2017
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