IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i8p2293-d223431.html
   My bibliography  Save this article

Hi-sAFe: A 3D Agroforestry Model for Integrating Dynamic Tree–Crop Interactions

Author

Listed:
  • Christian Dupraz

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Kevin J. Wolz

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Isabelle Lecomte

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Grégoire Talbot

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Grégoire Vincent

    (IRD (UMR-AMAP), University of Montpellier, 34090 Montpellier, France)

  • Rachmat Mulia

    (ICRAF, Bogor 16001, Indonesia)

  • François Bussière

    (INRA (UR ASTRO 1231) Centre Antilles-Guyane, Petit-Bourg, 97170 Guadeloupe, France)

  • Harry Ozier-Lafontaine

    (INRA (UR ASTRO 1231) Centre Antilles-Guyane, Petit-Bourg, 97170 Guadeloupe, France)

  • Sitraka Andrianarisoa

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Nick Jackson

    (CEH, NERC, Wallingford OX10 8BB, UK)

  • Gerry Lawson

    (CEH, NERC, Wallingford OX10 8BB, UK)

  • Nicolas Dones

    (INRA (UMR-PIAF), Université Clermont Auvergne, 63000 Clermont-Ferrand, France)

  • Hervé Sinoquet

    (INRA (UMR-PIAF), Université Clermont Auvergne, 63000 Clermont-Ferrand, France
    Hervé Sinoquet passed away.)

  • Betha Lusiana

    (ICRAF, Bogor 16001, Indonesia)

  • Degi Harja

    (ICRAF, Bogor 16001, Indonesia)

  • Susy Domenicano

    (Centre d’étude de la forêt, Université du Quebec, Montreal H2X 3Y5, Canada)

  • Francesco Reyes

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Marie Gosme

    (INRA (UMR-SYSTEM), University of Montpellier, 34090 Montpellier, France)

  • Meine Van Noordwijk

    (ICRAF, Bogor 16001, Indonesia)

Abstract

Agroforestry, the intentional integration of trees with crops and/or livestock, can lead to multiple economic and ecological benefits compared to trees and crops/livestock grown separately. Field experimentation has been the primary approach to understanding the tree–crop interactions inherent in agroforestry. However, the number of field experiments has been limited by slow tree maturation and difficulty in obtaining consistent funding. Models have the potential to overcome these hurdles and rapidly advance understanding of agroforestry systems. Hi-sAFe is a mechanistic, biophysical model designed to explore the interactions within agroforestry systems that mix trees with crops. The model couples the pre-existing STICS crop model to a new tree model that includes several plasticity mechanisms responsive to tree–tree and tree–crop competition for light, water, and nitrogen. Monoculture crop and tree systems can also be simulated, enabling calculation of the land equivalent ratio. The model’s 3D and spatially explicit form is key for accurately representing many competition and facilitation processes. Hi-sAFe is a novel tool for exploring agroforestry designs (e.g., tree spacing, crop type, tree row orientation), management strategies (e.g., thinning, branch pruning, root pruning, fertilization, irrigation), and responses to environmental variation (e.g., latitude, climate change, soil depth, soil structure and fertility, fluctuating water table). By improving our understanding of the complex interactions within agroforestry systems, Hi-sAFe can ultimately facilitate adoption of agroforestry as a sustainable land-use practice.

Suggested Citation

  • Christian Dupraz & Kevin J. Wolz & Isabelle Lecomte & Grégoire Talbot & Grégoire Vincent & Rachmat Mulia & François Bussière & Harry Ozier-Lafontaine & Sitraka Andrianarisoa & Nick Jackson & Gerry Law, 2019. "Hi-sAFe: A 3D Agroforestry Model for Integrating Dynamic Tree–Crop Interactions," Sustainability, MDPI, vol. 11(8), pages 1-25, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2293-:d:223431
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/8/2293/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/8/2293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Valle, B. & Simonneau, T. & Sourd, F. & Pechier, P. & Hamard, P. & Frisson, T. & Ryckewaert, M. & Christophe, A., 2017. "Increasing the total productivity of a land by combining mobile photovoltaic panels and food crops," Applied Energy, Elsevier, vol. 206(C), pages 1495-1507.
    2. Aumann, Craig A., 2007. "A methodology for developing simulation models of complex systems," Ecological Modelling, Elsevier, vol. 202(3), pages 385-396.
    3. Graves, A.R. & Burgess, P.J. & Palma, J. & Keesman, K.J. & van der Werf, W. & Dupraz, C. & van Keulen, H. & Herzog, F. & Mayus, M., 2010. "Implementation and calibration of the parameter-sparse Yield-SAFE model to predict production and land equivalent ratio in mixed tree and crop systems under two contrasting production situations in Eu," Ecological Modelling, Elsevier, vol. 221(13), pages 1744-1756.
    4. Matthew Heron Wilson & Sarah Taylor Lovell, 2016. "Agroforestry—The Next Step in Sustainable and Resilient Agriculture," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
    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. Bosi, Cristiam & Huth, Neil Ian & Sentelhas, Paulo Cesar & Pezzopane, José Ricardo Macedo, 2022. "APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus," Agricultural Systems, Elsevier, vol. 195(C).
    2. Paut, Raphaël & Sabatier, Rodolphe & Dufils, Arnaud & Tchamitchian, Marc, 2021. "How to reconcile short-term and long-term objectives in mixed farms? A dynamic model application to mixed fruit tree - vegetable systems," Agricultural Systems, Elsevier, vol. 187(C).
    3. Gagné, Geneviève & Lorenzetti, François & Cogliastro, Alain & Rivest, David, 2022. "Soybean performance under moisture limitation in a temperate tree-based intercropping system," Agricultural Systems, Elsevier, vol. 201(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. Sri Astutik & Jürgen Pretzsch & Jude Ndzifon Kimengsi, 2019. "Asian Medicinal Plants’ Production and Utilization Potentials: A Review," Sustainability, MDPI, vol. 11(19), pages 1-33, October.
    2. Krexner, T. & Bauer, A. & Gronauer, A. & Mikovits, C. & Schmidt, J. & Kral, I., 2024. "Environmental life cycle assessment of a stilted and vertical bifacial crop-based agrivoltaic multi land-use system and comparison with a mono land-use of agricultural land," Renewable and Sustainable Energy Reviews, Elsevier, vol. 196(C).
    3. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    4. Schindele, Stephan & Trommsdorff, Maximilian & Schlaak, Albert & Obergfell, Tabea & Bopp, Georg & Reise, Christian & Braun, Christian & Weselek, Axel & Bauerle, Andrea & Högy, Petra & Goetzberger, Ado, 2020. "Implementation of agrophotovoltaics: Techno-economic analysis of the price-performance ratio and its policy implications," Applied Energy, Elsevier, vol. 265(C).
    5. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    6. Thiesmeier, Alma & Zander, Peter, 2023. "Can agroforestry compete? A scoping review of the economic performance of agroforestry practices in Europe and North America," Forest Policy and Economics, Elsevier, vol. 150(C).
    7. Gonocruz, Ruth Anne Tanlioco & Yoshida, Yoshikuni & Ozawa, Akito & Aguirre, Rodolfo A. & Maguindayao, Edward Joseph H., 2023. "Impacts of agrivoltaics in rural electrification and decarbonization in the Philippines," Applied Energy, Elsevier, vol. 350(C).
    8. Poonia, Surendra & Jat, N.K. & Santra, Priyabrata & Singh, A.K. & Jain, Dilip & Meena, H.M., 2022. "Techno-economic evaluation of different agri-voltaic designs for the hot arid ecosystem India," Renewable Energy, Elsevier, vol. 184(C), pages 149-163.
    9. Shah Fahad & Sangram Bhanudas Chavan & Akash Ravindra Chichaghare & Appanderanda Ramani Uthappa & Manish Kumar & Vijaysinha Kakade & Aliza Pradhan & Dinesh Jinger & Gauri Rawale & Dinesh Kumar Yadav &, 2022. "Agroforestry Systems for Soil Health Improvement and Maintenance," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    10. Elamri, Y. & Cheviron, B. & Lopez, J.-M. & Dejean, C. & Belaud, G., 2018. "Water budget and crop modelling for agrivoltaic systems: Application to irrigated lettuces," Agricultural Water Management, Elsevier, vol. 208(C), pages 440-453.
    11. Theodrose Sisay & Kindie Tesfaye & Mengistu Ketema & Nigussie Dechassa & Mezegebu Getnet, 2023. "Climate-Smart Agriculture Technologies and Determinants of Farmers’ Adoption Decisions in the Great Rift Valley of Ethiopia," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    12. Ana Lúcia Hanisch & Raquel R. B. Negrelle & Rafael Araújo Bonatto & Evelyn Roberta Nimmo & André Eduardo Biscaia Lacerda, 2019. "Evaluating Sustainability in Traditional Silvopastoral Systems (caívas): Looking Beyond the Impact of Animals on Biodiversity," Sustainability, MDPI, vol. 11(11), pages 1-16, June.
    13. Santos, Mário & Bastos, Rita & Cabral, João Alexandre, 2013. "Converting conventional ecological datasets in dynamic and dynamic spatially explicit simulations: Current advances and future applications of the Stochastic Dynamic Methodology (StDM)," Ecological Modelling, Elsevier, vol. 258(C), pages 91-100.
    14. Joshua M. Pearce, 2022. "Agrivoltaics in Ontario Canada: Promise and Policy," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    15. Widmer, J. & Christ, B. & Grenz, J. & Norgrove, L., 2024. "Agrivoltaics, a promising new tool for electricity and food production: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    16. Grubbs, E.K. & Gruss, S.M. & Schull, V.Z. & Gosney, M.J. & Mickelbart, M.V. & Brouder, S. & Gitau, M.W. & Bermel, P. & Tuinstra, M.R. & Agrawal, R., 2024. "Optimized agrivoltaic tracking for nearly-full commodity crop and energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    17. Casares de la Torre, F.J. & Varo, Marta & López-Luque, R. & Ramírez-Faz, J. & Fernández-Ahumada, L.M., 2022. "Design and analysis of a tracking / backtracking strategy for PV plants with horizontal trackers after their conversion to agrivoltaic plants," Renewable Energy, Elsevier, vol. 187(C), pages 537-550.
    18. Agostini, A. & Colauzzi, M. & Amaducci, S., 2021. "Innovative agrivoltaic systems to produce sustainable energy: An economic and environmental assessment," Applied Energy, Elsevier, vol. 281(C).
    19. Stephen B. Stewart & Anthony P. O’Grady & Daniel S. Mendham & Greg S. Smith & Philip J. Smethurst, 2022. "Digital Tools for Quantifying the Natural Capital Benefits of Agroforestry: A Review," Land, MDPI, vol. 11(10), pages 1-32, September.
    20. Justus G. V. van Ramshorst & Lukas Siebicke & Moritz Baumeister & Fernando E. Moyano & Alexander Knohl & Christian Markwitz, 2022. "Reducing Wind Erosion through Agroforestry: A Case Study Using Large Eddy Simulations," Sustainability, MDPI, vol. 14(20), pages 1-24, October.

    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:gam:jsusta:v:11:y:2019:i:8:p:2293-:d:223431. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.