Zobrazeno 1 - 10 of 39 pro vyhledávání: '"Marco Carozzi"'
1
Akademický článek
Land cover changes with the development of anaerobic digestion for biogas production in France
Autor: Florent Levavasseur, Lucie Martin, Léa Boros, Jeanne Cadiou, Marco Carozzi, Philippe Martin, Sabine Houot
Publikováno v: GCB Bioenergy, Vol 15, Iss 5, Pp 630-641 (2023)
Abstract Anaerobic digestion is developing in various countries worldwide to produce renewable energy. In addition, the resulting digestates provide readily available nutrients when applied to cropping systems as fertilizers. The introduction of a bi
Externí odkaz: https://doaj.org/article/4fd8c3d8258c4df6bd297e043ca26a04
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2
Akademický článek
A Review of Chamber and Micrometeorological Methods to Quantify NH3 Emissions from Fertilisers Field Application
Autor: Ester Scotto di Perta, Nunzio Fiorentino, Marco Carozzi, Elena Cervelli, Stefania Pindozzi
Publikováno v: International Journal of Agronomy, Vol 2020 (2020)
Agriculture is mainly responsible for ammonia (NH3) volatilisation. A common effort to produce reliable quantifications, national emission inventories, and policies is needed to reduce health and environmental issues related to this emission. Sources
Externí odkaz: https://doaj.org/article/aec3682fdc5344f48ad152565549c756
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3
Akademický článek
The Nitrification Inhibitor Vizura® Reduces N2O Emissions When Added to Digestate before Injection under Irrigated Maize in the Po Valley (Northern Italy)
Autor: Marcello Ermido Chiodini, Alessia Perego, Marco Carozzi, Marco Acutis
Publikováno v: Agronomy, Vol 9, Iss 8, p 431 (2019)
The agricultural area in the Po Valley is prone to high nitrous oxide (N2O) emissions as it is characterized by irrigated maize-based cropping systems, high amounts of nitrogen supplied, and elevated air temperature in summer. Here, two monitoring ca
Externí odkaz: https://doaj.org/article/98c747f0401a436a9e0a0994bab0aaa9
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4
Akademický článek
An Assessment of Low-Cost Techniques to Measure Ammonia Emission from Multi-Plots: A Case Study with Urea Fertilization
Autor: Jakob Lavrsen Kure, Jakob Krabben, Simon Vilms Pedersen, Marco Carozzi, Sven G. Sommer
Publikováno v: Agronomy, Vol 8, Iss 11, p 245 (2018)
Ammonia (NH3) emission from agriculture is an environmental threat and a loss of nitrogen for crop production. Mineral fertilizers and manure are significant sources of NH3; therefore, abatement technologies have been introduced to mitigate these emi
Externí odkaz: https://doaj.org/article/a3f0d2ab1ddb48699a5aa2f49a251664
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5
Effects of climate change in European croplands and grasslands: productivity, greenhouse gas balance and soil carbon storage
Autor: Marco Carozzi, Raphaël Martin, Katja Klumpp, Raia Silvia Massad
Publikováno v: Biogeosciences. 19:3021-3050
Knowledge of the effects of climate change on agro-ecosystems is fundamental to identifying local actions aimed to maintain productivity and reduce environmental issues. This study investigates the effects of climate perturbation on the European crop
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5bd351a92c371b32daf0b4ccf0089bec
https://doi.org/10.5194/bg-19-3021-2022
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6
There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decision-making method to investigate the rationale applied by modelers in a model ensemble study where 12 process-based different biogeochemical model types were compared across five successive calibration stages. The modelers shared a common level of agreement about the importance of the variables used to initialize their models for calibration. However, we found inconsistency among modelers when judging the importance of input variables across different calibration stages. The level of subjective weighting attributed by modelers to calibration data decreased sequentially as the extent and number of variables provided increased. In this context, the perceived importance attributed to variables such as the fertilization rate, irrigation regime, soil texture, pH, and initial levels of soil organic carbon and nitrogen stocks was statistically different when classified according to model types. The importance attributed to input variables such as experimental duration, gross primary production, and netecosystem exchange varied significantly according to the length of the modeler’s experience. We argue that the gradual access to input data across the five calibration stages negatively influenced the consistency of the interpretations made by the modelers, with cognitive bias in 'trial-and-error' calibration routines. Our study highlights that overlooking human and social attributes is critical in the outcomes of modeling and model intercomparison studies. While complexity of the processes captured in the model algorithms and parameterization is important, we contend that (1) the modeler’s assumptions on the extent to which parameters should be altered and (2) modeler perceptions of the importance of model parameters are just as critical in obtaining a quality model calibration as numerical or analytical details
Autor: Fabrizio Albanito, David McBey, Matthew Harrison, Pete Smith, Fiona Ehrhardt, Arti Bhatia, Gianni Bellocchi, Lorenzo Brilli, Marco Carozzi, Karen Christie, Jordi Doltra, Christopher Dorich, Luca Doro, Peter Grace, Brian Grant, Joël Léonard, Mark Liebig, Cameron Ludemann, Raphael Martin, Elizabeth Meier, Rachelle Meyer, Massimiliano De Antoni Migliorati, Vasileios Myrgiotis, Sylvie Recous, Renáta Sándor, Val Snow, Jean-François Soussana, Ward N. Smith, Nuala Fitton
Publikováno v: Environmental Science and Technology
Environmental Science and Technology, 2022, 56 (18), pp.13485-13498. ⟨10.1021/acs.est.2c02023⟩
There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dbadd6d00dc3c224b9a39e130d3e55e
https://pubmed.ncbi.nlm.nih.gov/36052879
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8
Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level
Autor: Arthur Nicolaus Fendrich, Philippe Ciais, Emanuele Lugato, Marco Carozzi, Bertrand Guenet, Pasquale Borrelli, Victoria Naipal, Matthew McGrath, Philippe Martin, Panos Panagos
Publikováno v: Geoscientific Model Development
Geoscientific Model Development, 2022, 15 (20), pp.7835-7857. ⟨10.5194/gmd-15-7835-2022⟩
Promoting sustainable soil management is a possible option for achieving net-zero greenhouse gas emissions in the future. Several efforts in this area exist, and the application of spatially explicit models to anticipate the effect of possible action
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af66f3f7fc0a48579fc41d9c26d4925f
https://doi.org/10.5194/gmd-2022-121
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