IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v220y2024ics0308521x24002178.html
   My bibliography  Save this article

Influence of crop-livestock integration on direct and indirect contributions of beef systems to food security

Author

Listed:
  • Battheu-Noirfalise, C.
  • Mertens, A.
  • Soyeurt, H.
  • Stilmant, D.
  • Froidmont, E.
  • Beckers, Y.

Abstract

Beef production systems have been criticized for their low conversion efficiency of the human-edible feed and the agricultural land they use, impacting their ability to contribute directly to food security. However, beef cattle can also contribute indirectly to food security by transferring nutrients from permanent grasslands to marketed food crops through manure.

Suggested Citation

  • Battheu-Noirfalise, C. & Mertens, A. & Soyeurt, H. & Stilmant, D. & Froidmont, E. & Beckers, Y., 2024. "Influence of crop-livestock integration on direct and indirect contributions of beef systems to food security," Agricultural Systems, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:agisys:v:220:y:2024:i:c:s0308521x24002178
    DOI: 10.1016/j.agsy.2024.104067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X24002178
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2024.104067?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. Mosnier, Claire & Jarousse, Anne & Madrange, Pauline & Balouzat, Jimmy & Guillier, Maëva & Pirlo, Giacomo & Mertens, Alexandre & ORiordan, Edward & Pahmeyer, Christoph & Hennart, Sylvain & Legein, Lou, 2021. "Evaluation of the contribution of 16 European beef production systems to food security," Agricultural Systems, Elsevier, vol. 190(C).
    2. M. Mazoyer & Laurence Roudart, 2002. "Histoire des agricultures du monde: Du Néolithique à la crise contemporaine," ULB Institutional Repository 2013/44785, ULB -- Universite Libre de Bruxelles.
    3. Köninger, Julia & Lugato, Emanuele & Panagos, Panos & Kochupillai, Mrinalini & Orgiazzi, Alberto & Briones, Maria J.I., 2021. "Manure management and soil biodiversity: Towards more sustainable food systems in the EU," Agricultural Systems, Elsevier, vol. 194(C).
    4. Charrad, Malika & Ghazzali, Nadia & Boiteau, Véronique & Niknafs, Azam, 2014. "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i06).
    Full references (including those not matched with items on IDEAS)

    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. Bolívar, Fernando & Duran, Miguel A. & Lozano-Vivas, Ana, 2023. "Bank business models, size, and profitability," Finance Research Letters, Elsevier, vol. 53(C).
    2. Roopam Shukla & Ankit Agarwal & Kamna Sachdeva & Juergen Kurths & P. K. Joshi, 2019. "Climate change perception: an analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas," Climatic Change, Springer, vol. 152(1), pages 103-119, January.
    3. Xiong, Yuyu & Guo, Hongxiang & Nor, Datin Dr Mariani Md & Song, Andong & Dai, Li, 2023. "Mineral resources depletion, environmental degradation, and exploitation of natural resources: COVID-19 aftereffects," Resources Policy, Elsevier, vol. 85(PA).
    4. Saemi Shin & Won Suck Yoon & Sang-Hoon Byeon, 2022. "Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    5. Jihane El Ouadi & Hanae Errousso & Nicolas Malhene & Siham Benhadou & Hicham Medromi, 2022. "A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3215-3258, October.
    6. Kreitmair, Ursula & Bower-Bir, Jacob, 2021. "Too different to solve climate change? Experimental evidence on the effects of production and benefit heterogeneity on collective action," Ecological Economics, Elsevier, vol. 184(C).
    7. Getaneh Addis Tessema & Jan van der Borg & Anton Van Rompaey & Steven Van Passel & Enyew Adgo & Amare Sewnet Minale & Kerebih Asrese & Amaury Frankl & Jean Poesen, 2022. "Benefit Segmentation of Tourists to Geosites and Its Implications for Sustainable Development of Geotourism in the Southern Lake Tana Region, Ethiopia," Sustainability, MDPI, vol. 14(6), pages 1-25, March.
    8. Wu, Tong & Rocha, Juan C. & Berry, Kevin & Chaigneau, Tomas & Hamann, Maike & Lindkvist, Emilie & Qiu, Jiangxiao & Schill, Caroline & Shepon, Alon & Crépin, Anne-Sophie & Folke, Carl, 2024. "Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment," World Development, Elsevier, vol. 178(C).
    9. Bonnin, Dennis & Tabacco, Ernesto & Borreani, Giorgio, 2021. "Variability of greenhouse gas emissions and economic performances on 10 Piedmontese beef farms in North Italy," Agricultural Systems, Elsevier, vol. 194(C).
    10. Turati, Pietro & Pedroni, Nicola & Zio, Enrico, 2017. "Simulation-based exploration of high-dimensional system models for identifying unexpected events," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 317-330.
    11. Ben Beck & Meghan Winters & Trisalyn Nelson & Chris Pettit & Simone Z Leao & Meead Saberi & Jason Thompson & Sachith Seneviratne & Kerry Nice & Mark Stevenson, 2023. "Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics," Environment and Planning B, , vol. 50(1), pages 7-23, January.
    12. Jakub Mazurkiewicz, 2023. "The Impact of Manure Use for Energy Purposes on the Economic Balance of a Dairy Farm," Energies, MDPI, vol. 16(18), pages 1-22, September.
    13. Haytham Mohamed Salem & Linda R. Schott & Julia Piaskowski & Asmita Chapagain & Jenifer L. Yost & Erin Brooks & Kendall Kahl & Jodi Johnson-Maynard, 2024. "Evaluating Intra-Field Spatial Variability for Nutrient Management Zone Delineation through Geospatial Techniques and Multivariate Analysis," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    14. Raquel Lourenço Carvalhal Monteiro & Valdecy Pereira & Helder Gomes Costa, 2019. "Analysis of the Better Life Index Trough a Cluster Algorithm," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 477-506, April.
    15. Gamache, Nicolas & Domon, Gérald & Jean, Yves, 2004. "Pour une compréhension des espaces ruraux : représentations du paysage de territoires français et québécois," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 73.
    16. Sergio Consoli & Luca Tiozzo Pezzoli & Elisa Tosetti, 2022. "Neural forecasting of the Italian sovereign bond market with economic news," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 197-224, December.
    17. Šubová, Nikola, 2022. "The Contribution of Energy Use and Production to Greenhouse Gas Emissions: Evidence from the Agriculture of European Countries," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(3), September.
    18. Luis Lorenzo & Javier Arroyo, 2022. "Analysis of the cryptocurrency market using different prototype-based clustering techniques," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-46, December.
    19. Thomas J. Lampoltshammer & Valerie Albrecht & Corinna Raith, 2021. "Teaching Digital Sustainability in Higher Education from a Transdisciplinary Perspective," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    20. Wang, Hanjie & Yu, Xiaohua, 2023. "Carbon dioxide emission typology and policy implications: Evidence from machine learning," China Economic Review, Elsevier, vol. 78(C).

    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:220:y:2024:i:c:s0308521x24002178. 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.