IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v127y2014icp41-52.html
   My bibliography  Save this article

SyNE: An improved indicator to assess nitrogen efficiency of farming systems

Author

Listed:
  • Godinot, O.
  • Carof, M.
  • Vertès, F.
  • Leterme, P.

Abstract

Reactive nitrogen (N) flows (all forms of N except N2) are greatly increasing worldwide. This is mainly due to the ever larger use of inorganic N fertilizers used to sustain the growing food production. N flows have major impacts on water, air and soil quality as well as on biodiversity and human health. Reconciling the objectives of feeding the world and preserving the environment is a great challenge for agriculture. One of the main ways to increase food production while reducing its detrimental effects is to increase the efficiency of N use.

Suggested Citation

  • Godinot, O. & Carof, M. & Vertès, F. & Leterme, P., 2014. "SyNE: An improved indicator to assess nitrogen efficiency of farming systems," Agricultural Systems, Elsevier, vol. 127(C), pages 41-52.
    • Handle: RePEc:eee:agisys:v:127:y:2014:i:c:p:41-52
    DOI: 10.1016/j.agsy.2014.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X14000122
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2014.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nevens, F. & Verbruggen, I. & Reheul, D. & Hofman, G., 2006. "Farm gate nitrogen surpluses and nitrogen use efficiency of specialized dairy farms in Flanders: Evolution and future goals," Agricultural Systems, Elsevier, vol. 88(2-3), pages 142-155, June.
    2. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    3. Ondersteijn, C. J. M. & Giesen, G. W. J. & Huirne, R. B. M., 2003. "Identification of farmer characteristics and farm strategies explaining changes in environmental management and environmental and economic performance of dairy farms," Agricultural Systems, Elsevier, vol. 78(1), pages 31-55, October.
    4. Xu, Chonggang & Gertner, George Zdzislaw, 2008. "Uncertainty and sensitivity analysis for models with correlated parameters," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1563-1573.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julia Jouan & Aude Ridier & Matthieu Carof, 2020. "Legume production and use in feed: Analysis of levers to improve protein self-sufficiency from foresight scenarios," Post-Print hal-02907077, HAL.
    2. Julia Jouan & Aude Ridier & Matthieu Carof, 2018. "SYNERGY: a bio economic model assessing the economic and environmental impacts of increased regional protein self-sufficiency," Post-Print hal-01937084, HAL.
    3. Carof, Matthieu & Godinot, Olivier, 2018. "A free online tool to calculate three nitrogen-related indicators for farming systems," Agricultural Systems, Elsevier, vol. 162(C), pages 28-33.
    4. Koesling, Matthias & Hansen, Sissel & Bleken, Marina Azzaroli, 2017. "Variations in nitrogen utilisation on conventional and organic dairy farms in Norway," Agricultural Systems, Elsevier, vol. 157(C), pages 11-21.
    5. Jouan, Julia & Ridier, Aude & Carof, Matthieu, 2020. "SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Ecological Economics, Elsevier, vol. 175(C).
    6. Mu, W. & Groen, E.A. & van Middelaar, C.E. & Bokkers, E.A.M. & Hennart, S. & Stilmant, D. & de Boer, I.J.M., 2017. "Benchmarking nutrient use efficiency of dairy farms: The effect of epistemic uncertainty," Agricultural Systems, Elsevier, vol. 156(C), pages 25-33.
    7. Al Zahra, Windi & van Middelaar, Corina E. & Oosting, Simon J. & de Boer, Imke J.M., 2024. "Nutrient imbalances of smallholder dairy farming systems in Indonesia: The relevance of manure management," Agricultural Systems, Elsevier, vol. 218(C).
    8. Quemada, M. & Lassaletta, L. & Jensen, L.S. & Godinot, O. & Brentrup, F. & Buckley, C. & Foray, S. & Hvid, S.K. & Oenema, J. & Richards, K.G. & Oenema, O., 2020. "Exploring nitrogen indicators of farm performance among farm types across several European case studies," Agricultural Systems, Elsevier, vol. 177(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rommel, Jens & Anggraini, Eva, 2018. "Spatially explicit framed field experiments on ecosystem services governance," Ecosystem Services, Elsevier, vol. 34(PB), pages 201-205.
    2. Ascui, Francisco & Ball, Alex & Kahn, Lewis & Rowe, James, 2021. "Is operationalising natural capital risk assessment practicable?," Ecosystem Services, Elsevier, vol. 52(C).
    3. Meike Weltin & Silke Hüttel, 2023. "Sustainable Intensification Farming as an Enabler for Farm Eco-Efficiency?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 315-342, January.
    4. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    5. Law, Elizabeth A. & Macchi, Leandro & Baumann, Matthias & Decarre, Julieta & Gavier-Pizarro, Gregorio & Levers, Christian & Mastrangelo, Matías E. & Murray, Francisco & Müller, Daniel & Piquer-Rodrígu, 2021. "Fading opportunities for mitigating agriculture-environment trade-offs in a south American deforestation hotspot," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 262.
    6. Gong, Ziqian & Baker, Justin S. & Wade, Christopher M. & Havlík, Petr, 2024. "Irrigation intensification in U.S. agriculture under climate change – an adaptation mechanism or trade-induced response?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343581, Agricultural and Applied Economics Association.
    7. Ongolo, Symphorien & Giessen, Lukas & Karsenty, Alain & Tchamba, Martin & Krott, Max, 2021. "Forestland policies and politics in Africa: Recent evidence and new challenges," Forest Policy and Economics, Elsevier, vol. 127(C).
    8. Marcela Prokopová & Luca Salvati & Gianluca Egidi & Ondřej Cudlín & Renata Včeláková & Radek Plch & Pavel Cudlín, 2019. "Envisioning Present and Future Land-Use Change under Varying Ecological Regimes and Their Influence on Landscape Stability," Sustainability, MDPI, vol. 11(17), pages 1-24, August.
    9. James J Elser & Timothy J Elser & Stephen R Carpenter & William A Brock, 2014. "Regime Shift in Fertilizer Commodities Indicates More Turbulence Ahead for Food Security," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
    10. Vogel, Everton & Martinelli, Gabrielli & Artuzo, Felipe Dalzotto, 2021. "Environmental and economic performance of paddy field-based crop-livestock systems in Southern Brazil," Agricultural Systems, Elsevier, vol. 190(C).
    11. Abdulai, Issaka & Hoffmann, Munir P. & Jassogne, Laurence & Asare, Richard & Graefe, Sophie & Tao, Hsiao-Hang & Muilerman, Sander & Vaast, Philippe & Van Asten, Piet & Läderach, Peter & Rötter, Reimun, 2020. "Variations in yield gaps of smallholder cocoa systems and the main determining factors along a climate gradient in Ghana," Agricultural Systems, Elsevier, vol. 181(C).
    12. Qian Sun & Mingjie Wu & Peiyu Du & Wei Qi & Xinyang Yu, 2022. "Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    13. Heider, Katharina & Quaranta, Emanuele & García Avilés, José María & Rodriguez Lopez, Juan Miguel & Balbo, Andrea L. & Scheffran, Jürgen, 2022. "Reinventing the wheel – The preservation and potential of traditional water wheels in the terraced irrigated landscapes of the Ricote Valley, southeast Spain," Agricultural Water Management, Elsevier, vol. 259(C).
    14. Zhiwei Bai & Hongkui Wei & Yingying Xiao & Shufang Song & Sergei Kucherenko, 2021. "A Vine Copula-Based Global Sensitivity Analysis Method for Structures with Multidimensional Dependent Variables," Mathematics, MDPI, vol. 9(19), pages 1-20, October.
    15. Bazoche, Pascale & Guinet, Nicolas & Poret, Sylvaine & Teyssier, Sabrina, 2023. "Does the provision of information increase the substitution of animal proteins with plant-based proteins? An experimental investigation into consumer choices," Food Policy, Elsevier, vol. 116(C).
    16. Tiziano Gomiero, 2016. "Soil Degradation, Land Scarcity and Food Security: Reviewing a Complex Challenge," Sustainability, MDPI, vol. 8(3), pages 1-41, March.
    17. Abele Kuipers & Agata Malak-Rawlikowska & Aldona Stalgienė & Anita Ule & Marija Klopčič, 2021. "European Dairy Farmers’ Perceptions and Responses towards Development Strategies in Years of Turbulent Market and Policy Changes," Agriculture, MDPI, vol. 11(4), pages 1-24, March.
    18. Levi, Loïc & Latruffe, Laure & Ridier, Aude, 2019. "Farm performance and investment decisions: evidence from the French (Brittany) dairy sector," Working Papers 285033, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    19. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    20. Anna Lungarska & Thierry Brunelle & Raja Chakir & Pierre‐Alain Jayet & Rémi Prudhomme & Stéphane De Cara & Jean‐Christophe Bureau, 2023. "Halving mineral nitrogen use in European agriculture: Insights from multi‐scale land‐use models," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1529-1550, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:127:y:2014:i:c:p:41-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.