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Combining agroecology and management science to design field tools under high agrosystem structural or process uncertainty: Lessons from two case studies of grassland management

Listed author(s):
  • Duru, M.
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    One way to improve sustainable agriculture is to use existing resources and technologies better by finding synergies between plants, soil, climate and management practices. However, for many agricultural situations there is a lack of understanding about the structure of biological and ecological relationships that drive resource dynamics. Therefore, it remains a challenge to build tools for farmers and advisors that fit with these uncertainties and that are generic. In this paper, we define an “agroecological engineering” approach from a combination of several methods of knowledge production: analytical methods that are de-contextualised (e.g. experimentation, on-farm observations) and holistic and contextualised methods based on workshops and training sessions with stakeholders. The key feature of the approach is the construction of a “boundary object”, i.e. a support facilitating the communication between researchers and stakeholders, which evolves from a premise into a support tool during the course of a research project and then helps organise knowledge flows between methods. Two long-term studies involving grassland management were used to illustrate the approach. Based on these examples and on the literature, we show that the approach needs to address four issues for defining generic operational tools to find site-specific solutions: aims and principles of the approach, development of tool support throughout a research project, knowledge flow among knowledge-production methods, and the function of agroecosystem models. A remaining scientific challenge is the extrapolation of tool prototypes outside the case studies on which they were based.

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    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 114 (2013)
    Issue (Month): C ()
    Pages: 84-94

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    Handle: RePEc:eee:agisys:v:114:y:2013:i:c:p:84-94
    DOI: 10.1016/j.agsy.2012.09.002
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    1. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    2. repec:dau:papers:123456789/3186 is not listed on IDEAS
    3. M.-J. Avenier & J. Bartunek, 2010. "Bridging A Supposedly Unbridgeable Gap: Elaborating Scientific Knowledge From And For Practice," Post-Print halshs-00526745, HAL.
    4. Xu, Jiuping & Li, Zongmin, 2012. "A review on Ecological Engineering based Engineering Management," Omega, Elsevier, vol. 40(3), pages 368-378.
    5. Jakku, E. & Thorburn, P.J., 2010. "A conceptual framework for guiding the participatory development of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 103(9), pages 675-682, November.
    6. Douthwaite, Boru & Gummert, Martin, 2010. "Learning selection revisited: How can agricultural researchers make a difference?," Agricultural Systems, Elsevier, vol. 103(5), pages 245-255, June.
    7. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    8. Martin, G. & Duru, M. & Schellberg, J. & Ewert, F., 2012. "Simulations of plant productivity are affected by modelling approaches of farm management," Agricultural Systems, Elsevier, vol. 109(C), pages 25-34.
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