IDEAS home Printed from https://ideas.repec.org/a/kap/jbioec/v20y2018i2d10.1007_s10818-018-9270-6.html
   My bibliography  Save this article

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Author

Listed:
  • Luz Maria Castro

    () (Universidad Tecnica Particular de Loja
    Technische Universität München)

  • Fabian Härtl

    (Technische Universität München)

  • Santiago Ochoa

    (Universidad Tecnica Particular de Loja)

  • Baltazar Calvas

    (Technische Universität München
    Facultad de Ciencias Pecuarias, Universidad Técnica Estatal de Quevedo)

  • Leonardo Izquierdo

    (Universidad Tecnica Particular de Loja)

  • Thomas Knoke

    (Technische Universität München)

Abstract

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.

Suggested Citation

  • Luz Maria Castro & Fabian Härtl & Santiago Ochoa & Baltazar Calvas & Leonardo Izquierdo & Thomas Knoke, 2018. "Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations," Journal of Bioeconomics, Springer, vol. 20(2), pages 183-211, July.
  • Handle: RePEc:kap:jbioec:v:20:y:2018:i:2:d:10.1007_s10818-018-9270-6
    DOI: 10.1007/s10818-018-9270-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10818-018-9270-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    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. Pablo C. Benítez & Timo Kuosmanen & Roland Olschewski & G. Cornelis van Kooten, 2006. "Conservation Payments under Risk: A Stochastic Dominance Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 1-15.
    2. Mouysset, L. & Doyen, L. & Jiguet, F. & Allaire, G. & Leger, F., 2011. "Bio economic modeling for a sustainable management of biodiversity in agricultural lands," Ecological Economics, Elsevier, vol. 70(4), pages 617-626, February.
    3. Blasi, E. & Passeri, N. & Franco, S. & Galli, A., 2016. "An ecological footprint approach to environmental–economic evaluation of farm results," Agricultural Systems, Elsevier, vol. 145(C), pages 76-82.
    4. Yemshanov, Denys & McCarney, Geoffrey R. & Hauer, Grant & Luckert, M.K. (Marty) & Unterschultz, Jim & McKenney, Daniel W., 2015. "A real options-net present value approach to assessing land use change: A case study of afforestation in Canada," Forest Policy and Economics, Elsevier, vol. 50(C), pages 327-336.
    5. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    6. Townsend, Toby J. & Ramsden, Stephen J. & Wilson, Paul, 2016. "Analysing reduced tillage practices within a bio-economic modelling framework," Agricultural Systems, Elsevier, vol. 146(C), pages 91-102.
    7. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
    8. Barbier, B. & Bergeron, G., 1999. "Impact of policy interventions on land management in Honduras: results of a bioeconomic model," Agricultural Systems, Elsevier, vol. 60(1), pages 1-16, May.
    9. Lalani, Baqir & Dorward, Peter & Holloway, Garth & Wauters, Erwin, 2016. "Smallholder farmers' motivations for using Conservation Agriculture and the roles of yield, labour and soil fertility in decision making," Agricultural Systems, Elsevier, vol. 146(C), pages 80-90.
    10. de Wit, C. T., 1992. "Resource use efficiency in agriculture," Agricultural Systems, Elsevier, vol. 40(1-3), pages 125-151.
    11. Acs, S. & Berentsen, P.B.M. & Huirne, R.B.M., 2007. "Conversion to organic arable farming in The Netherlands: A dynamic linear programming analysis," Agricultural Systems, Elsevier, vol. 94(2), pages 405-415, May.
    12. Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
    13. Homans, Frances R. & Wilen, James E., 2005. "Markets and rent dissipation in regulated open access fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 381-404, March.
    14. Liu, Xing & Lehtonen, Heikki & Purola, Tuomo & Pavlova, Yulia & Rötter, Reimund & Palosuo, Taru, 2016. "Dynamic economic modelling of crop rotations with farm management practices under future pest pressure," Agricultural Systems, Elsevier, vol. 144(C), pages 65-76.
    15. Alary, V. & Corbeels, M. & Affholder, F. & Alvarez, S. & Soria, A. & Valadares Xavier, J.H. & da Silva, F.A.M. & Scopel, E., 2016. "Economic assessment of conservation agriculture options in mixed crop-livestock systems in Brazil using farm modelling," Agricultural Systems, Elsevier, vol. 144(C), pages 33-45.
    16. Pandey, Sushil & Hardaker, J. Brian, 1995. "The role of modelling in the quest for sustainable farming systems," Agricultural Systems, Elsevier, vol. 47(4), pages 439-450.
    17. Hildebrandt, Patrick & Knoke, Thomas, 2009. "Optimizing the shares of native tree species in forest plantations with biased financial parameters," Ecological Economics, Elsevier, vol. 68(11), pages 2825-2833, September.
    18. Clasen, Christian & Griess, Verena C. & Knoke, Thomas, 2011. "Financial consequences of losing admixed tree species: A new approach to value increased financial risks by ungulate browsing," Forest Policy and Economics, Elsevier, vol. 13(6), pages 503-511, July.
    19. Finger, Robert & Lazzarotto, Patrick & Calanca, Pierluigi, 2010. "Bio-economic assessment of climate change impacts on managed grassland production," Agricultural Systems, Elsevier, vol. 103(9), pages 666-674, November.
    20. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    21. Paul A. Samuelson, 2011. "Lifetime Portfolio Selection by Dynamic Stochastic Programming," World Scientific Book Chapters, in: Leonard C MacLean & Edward O Thorp & William T Ziemba (ed.),THE KELLY CAPITAL GROWTH INVESTMENT CRITERION THEORY and PRACTICE, volume 3, chapter 31, pages 465-472, World Scientific Publishing Co. Pte. Ltd..
    22. Paracchini, Maria Luisa & Bulgheroni, Claudia & Borreani, Giorgio & Tabacco, Ernesto & Banterle, Alessandro & Bertoni, Danilo & Rossi, Graziano & Parolo, Gilberto & Origgi, Roberto & De Paola, Claudio, 2015. "A diagnostic system to assess sustainability at a farm level: The SOSTARE model," Agricultural Systems, Elsevier, vol. 133(C), pages 35-53.
    23. Schönhart, Martin & Schauppenlehner, Thomas & Kuttner, Michael & Kirchner, Mathias & Schmid, Erwin, 2016. "Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria," Agricultural Systems, Elsevier, vol. 145(C), pages 39-50.
    24. Knoke, Thomas & Seifert, Thomas, 2008. "Integrating selected ecological effects of mixed European beech–Norway spruce stands in bioeconomic modelling," Ecological Modelling, Elsevier, vol. 210(4), pages 487-498.
    25. Komarek, Adam M. & Bell, Lindsay W. & Whish, Jeremy P.M. & Robertson, Michael J. & Bellotti, William D., 2015. "Whole-farm economic, risk and resource-use trade-offs associated with integrating forages into crop–livestock systems in western China," Agricultural Systems, Elsevier, vol. 133(C), pages 63-72.
    26. Duncan Knowler, 2002. "A Review of Selected Bioeconomic Models with Environmental Influences in Fisheries," Journal of Bioeconomics, Springer, vol. 4(2), pages 163-181, May.
    27. Sirén, Anders & Parvinen, Kalle, 2015. "A spatial bioeconomic model of the harvest of wild plants and animals," Ecological Economics, Elsevier, vol. 116(C), pages 201-210.
    28. Holden, Stein & Shiferaw, Bekele & Pender, John, 2004. "Non-farm income, household welfare, and sustainable land management in a less-favoured area in the Ethiopian highlands," Food Policy, Elsevier, vol. 29(4), pages 369-392, August.
    29. Knoke, Thomas & Paul, Carola & Härtl, Fabian & Castro, Luz Maria & Calvas, Baltazar & Hildebrandt, Patrick, 2015. "Optimizing agricultural land-use portfolios with scarce data—A non-stochastic model," Ecological Economics, Elsevier, vol. 120(C), pages 250-259.
    30. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    31. Pfister, F. & Bader, H.-P. & Scheidegger, R. & Baccini, P., 2005. "Dynamic modelling of resource management for farming systems," Agricultural Systems, Elsevier, vol. 86(1), pages 1-28, October.
    32. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
    33. Di Falco, Salvatore & Perrings, Charles, 2005. "Crop biodiversity, risk management and the implications of agricultural assistance," Ecological Economics, Elsevier, vol. 55(4), pages 459-466, December.
    34. Behrendt, Karl & Cacho, Oscar & Scott, James M. & Jones, Randall, 2016. "Using seasonal stochastic dynamic programming to identify optimal management decisions that achieve maximum economic sustainable yields from grasslands under climate risk," Agricultural Systems, Elsevier, vol. 145(C), pages 13-23.
    35. Grigalunas, Thomas & Opaluch, James J. & Luo, Meifeng, 2001. "The economic costs to fisheries from marine sediment disposal: case study of Providence, RI, USA," Ecological Economics, Elsevier, vol. 38(1), pages 47-58, July.
    36. Szvetlana Acs & Paul Berentsen & Ruud Huirne & Marcel van Asseldonk, 2009. "Effect of yield and price risk on conversion from conventional to organic farming ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 393-411, July.
    37. Herrero, M. & Fawcett, R. H. & Dent, J. B., 1999. "Bio-economic evaluation of dairy farm management scenarios using integrated simulation and multiple-criteria models," Agricultural Systems, Elsevier, vol. 62(3), pages 169-188, December.
    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. Joseph MacPherson & Carsten Paul & Katharina Helming, 2020. "Linking Ecosystem Services and the SDGs to Farm-Level Assessment Tools and Models," Sustainability, MDPI, Open Access Journal, vol. 12(16), pages 1-19, August.
    2. Damian C. Adams & Andres Susaeta & Jose R. Soto & Frederick Rossi & Paloma Carton Grammont & William A. Messina & Frank H. Koch & Demian Gomez & Jiri Hulcr, 2020. "A bioeconomic model for estimating potential economic damages from a hypothetical Asian beetle introduced via future trade with Cuba," Journal of Bioeconomics, Springer, vol. 22(1), pages 33-58, April.
    3. Esther Reith & Elizabeth Gosling & Thomas Knoke & Carola Paul, 2020. "How Much Agroforestry Is Needed to Achieve Multifunctional Landscapes at the Forest Frontier?—Coupling Expert Opinion with Robust Goal Programming," Sustainability, MDPI, Open Access Journal, vol. 12(15), pages 1-26, July.
    4. Marta Ezquerro & Marta Pardos & Luis Diaz-Balteiro, 2019. "Sustainability in Forest Management Revisited Using Multi-Criteria Decision-Making Techniques," Sustainability, MDPI, Open Access Journal, vol. 11(13), pages 1-24, July.
    5. Elliot, Thomas & Bertrand, Alexandre & Babí Almenar, Javier & Petucco, Claudio & Proença, Vânia & Rugani, Benedetto, 2019. "Spatial optimisation of urban ecosystem services through integrated participatory and multi-objective integer linear programming," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.

    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:kap:jbioec:v:20:y:2018:i:2:d:10.1007_s10818-018-9270-6. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.