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The role of farmers’ objectives in current farm practices and adaptation preferences: a case study in Flevoland, the Netherlands

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Abstract

The diversity in farmers’ objectives and responses to external drivers is usually not considered in integrated assessment studies that investigate impacts and adaptation to climate and socio-economic change. Here, we present an approach to assess how farmers’ stated objectives relate to their currently implemented practices and to preferred adaptation options, and we discuss what this implies for assessments of future changes. We based our approach on a combination of multi-criteria decision-making methods. We consistently assessed the importance of farmers’ objectives and adaptation preferences from what farmers say (based on interviews), from what farmers actually do (by analysing current farm performance) and from what farmers want (through a selected alternative farm plan). Our study was performed for six arable farms in Flevoland, a province in the Netherlands. Based on interviews with farmers, we reduced the long list of possible objectives to the most important ones. The objectives we assessed included maximization of economic result and soil organic matter, and minimization of gross margin variance, working hours and nitrogen balance. In our sample, farmers’ stated preferences in objectives were often not fully reflected in realized farming practices. Adaptation preferences of farmers largely resembled their current performance, but generally involved a trend towards stated preferences. Our results suggest that in Flevoland, although farmers do have more objectives, in practical decision-making they focus on economic result maximization, while for strategic decision-making they account for objectives influencing long-term performance and indicators associated with sustainability, in this case soil organic matter.

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References

  • Anonymous (2009) Akkerbouw en Vollegrondsgroententeelt. Wageningen, Praktijkonderzoek Plant & Omgeving B.V, Kwantitatieve informatie

    Google Scholar 

  • Audsley E, Pearn KR, Simota C, Cojocaru G, Koutsidou E, Rounsevell MDA, Trnka M, Alexandrov V (2006) What can scenario modelling tell us about future European scale agricultural land use, and what not? Environ Sci Policy 9(2):148–162

    Article  Google Scholar 

  • Berkhout ED, Schipper RA, Kuyvenhoven A, Coulibaly O (2010) Does heterogeneity in goals and preferences affect efficiency? A case study of farm households in northern Nigeria. Agric Econ 41(3–4):265–273

    Article  Google Scholar 

  • Berkhout ED, Schipper RA, Van Keulen H, Coulibaly O (2011) Heterogeneity in farmers’ production decisions and its impact on soil nutrient use: Results and implications from northern Nigeria. Agric Syst 104(1):63–74

    Article  Google Scholar 

  • Bindi M, Olesen JE (2010) The responses of agriculture in Europe to climate change. Reg Environ Change: 1–8

  • Dijksterhuis A, Aarts H (2010) Goals, attention, and (Un)consciousness. Ann Rev Psychol 61(1):467–490

    Article  Google Scholar 

  • Dogliotti S, Rossing WAH, van Ittersum MK (2004) Systematic design and evaluation of crop rotations enhancing soil conservation, soil fertility and farm income: a case study for vegetable farms in South Uruguay. Agric Syst 80(3):277–302

    Article  Google Scholar 

  • Dogliotti S, Van Ittersum MK, Rossing WAH (2005) A method for exploring sustainable development options at farm scale: A case study for vegetable farms in South Uruguay. Agric Syst 86(1):29–51

    Article  Google Scholar 

  • Dury J, Schaller N, Garcia F, Reynaud A, Bergez JE (2012) Models to support cropping plan and crop rotation decisions. A review. Agron Sustain Dev 32(2):567–580

    Article  Google Scholar 

  • Gómez-Limón JA, Arriaza M, Riesgo L (2003) An MCDM analysis of agricultural risk aversion. Eur J Oper Res 151(3):569–585

    Article  Google Scholar 

  • Gómez-Limón JA, Riesgo L, Arriaza M (2004) Multi-criteria analysis of input use in agriculture. J Agric Econ 55(3):541–564

    Article  Google Scholar 

  • Groot JCJ, Rossing WAH (2011) Model-aided learning for adaptive management of natural resources: an evolutionary design perspective. Methods Ecol Evol 2(6):643–650

    Article  Google Scholar 

  • Groot JCJ, Oomen GJM, Rossing WAH (2012) Multi-objective optimization and design of farming systems. Agric Syst 110:63–77

    Article  Google Scholar 

  • Hazell PBR, Norton RD (1986) Mathematical programming for economic analysis in agriculture. Macmillan, New York

    Google Scholar 

  • Hermans CML, Geijzendorffer IR, Ewert F, Metzger MJ, Vereijken PH, Woltjer GB, Verhagen A (2010) Exploring the future of European crop production in a liberalised market, with specific consideration of climate change and the regional competitiveness. Ecol Model 221(18):2177–2187

    Article  Google Scholar 

  • Jager W, Janssen MA, De Vries HJM, De Greef J, Vlek CAJ (2000) Behaviour in commons dilemmas: Homo economicus and Homo psychologicus in an ecological-economic model. Ecol Econ 35(3):357–379

    Article  Google Scholar 

  • Janssen BH (1999) Nutrients in soil plant relationships I. Wageningen Agricultural University, Dept. Soil science and Plant Nutrition

  • Janssen MA, Jager W (2001) Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics. J Econ Psychol 22(6):745–772

    Article  Google Scholar 

  • Janssen S, van Ittersum MK (2007) Assessing farm innovations and responses to policies: A review of bio-economic farm models. Agric Syst 94(3):622–636

    Article  Google Scholar 

  • Jones D (2011) A practical weight sensitivity algorithm for goal and multiple objective programming. Eur J Oper Res 213(1):238–245

    Article  Google Scholar 

  • Kanellopoulos A, Berentsen P, Heckelei T, Van Ittersum M, Lansink AO (2010) Assessing the forecasting performance of a generic bio-economic farm model calibrated with two different PMP variants. J Agric Econ 61(2):274–294

    Article  Google Scholar 

  • Kanellopoulos A, Reidsma P, Wolf J, van Ittersum MK (2014) Assessing climate change and associated socio-economic scenarios for arable farming in the Netherlands: An application of benchmarking and bio-economic farm modelling. Eur J Agron 52, Part A:69–80

    Article  Google Scholar 

  • Mandryk M, Reidsma P, van Ittersum M (2012) Scenarios of long-term farm structural change for application in climate change impact assessment. Landscape Ecol 27(4):509–527

    Article  Google Scholar 

  • Mayer DG, Rossing WAH, de Devoil P, Groot JCJ, McPhee MJ, Oltjen JW (2008) Optimal management of agricultural systems. Stud Comput Intel 92:141–163

    Article  Google Scholar 

  • Meerburg BG, Korevaar H, Haubenhofer DK, Blom-Zandstra M, Keulen HV (2009) The changing role of agriculture in Dutch society. J Agric Sci 147(5):511–521

    Article  Google Scholar 

  • Nordström E-M, Romero C, Eriksson LO, Öhman K (2009) Aggregation of preferences in participatory forest planning with multiple criteria: an application to the urban forest in Lycksele, Sweden. Can J For Res 39(10):1979–1992

    Article  Google Scholar 

  • Prato T, Zeyuan Q, Pederson G, Fagre D, Bengtson L, Williams J (2010) Potential economic benefits of adapting agricultural production systems to future climate change. Environ Manage 45(3):577–589

    Article  Google Scholar 

  • Reidsma P, Ewert F, Oude-Lansink A, Leemans R (2010) Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses. Eur J Agron 32(1):91–102

    Article  Google Scholar 

  • Renting H, Rossing WAH, Groot JCJ, Van der Ploeg JD, Laurent C, Perraud D, Stobbelaar DJ, Van Ittersum MK (2009) Exploring multifunctional agriculture. A review of conceptual approaches and prospects for an integrative transitional framework. J Environ Manage 90(Supplement 2):S112–S123

    Article  Google Scholar 

  • Romero C, Rehman T (2003) Multiple criteria analysis for agricultural decisions. Amsterdam, Original Publication in 1989, Elsevier

  • Rufino MC, Reidsma P, Nillesen EEM (2011) Comments to “Is an integrated farm more resilient against climate change? A micro-econometric analysis of portfolio diversification in African agriculture”. Food Policy 36(3):452–454

    Article  Google Scholar 

  • Seo SN (2010) Is an integrated farm more resilient against climate change? A micro-econometric analysis of portfolio diversification in African agriculture. Food Policy 35(1):32–40

    Article  Google Scholar 

  • Sterk B, van Ittersum MK, Leeuwis C, Rossing WAH, van Keulen H, van de Ven GWJ (2006) Finding niches for whole-farm design models: contradictio in terminis? Agric Syst 87(2):211–228

    Article  Google Scholar 

  • Sumpsi J, Amador F, Romero C (1997) On farmers’ objectives: a multi-criteria approach. Eur J Oper Res 96(1):64–71

    Article  Google Scholar 

  • ten Berge HFM, van Ittersum MK, Rossing WAH, van de Ven GWJ, Schans J (2000) Farming options for The Netherlands explored by multi-objective modelling. Eur J Agron 13(2–3):263–277

    Article  Google Scholar 

  • Tittonell P, van Wijk MT, Rufino MC, Vrugt JA, Giller KE (2007) Analysing trade-offs in resource and labour allocation by smallholder farmers using inverse modelling techniques: A case-study from Kakamega district, western Kenya. Agric Syst 95(1–3):76–95

    Article  Google Scholar 

  • van Calker KJ, Berentsen PBM, Giesen GWJ, Huirne RBM (2005) Identifying and ranking attributes that determine sustainability in Dutch dairy farming. Agric Hum Values 22(1):53–63

    Article  Google Scholar 

  • van der Ploeg JD, Laurent C, Blondeau F, Bonnafous P (2009) Farm diversity, classification schemes and multifunctionality. J Environ Manage 90(Supplement 2):S124–S131

    Article  Google Scholar 

  • Van Ittersum MK, Rabbinge R, Van Latesteijn HC (1998) Exploratory land use studies and their role in strategic policy making. Agric Syst 58(3):309–330

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded by the ‘Scaling and Governance’ programme of Wageningen University and the AgriAdapt project within the Dutch ‘Climate changes Spatial Planning’ programme. We would like to thank all farmers that kindly provided us with their farm data, ranked the objectives and discussed the alternative farm plans.

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Correspondence to Maryia Mandryk.

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Editor: Wolfgang Cramer.

Appendices

Appendix 1

See Table 6.

Table 6 Farm typology (dimensions and thresholds) used in the research (Mandryk et al. 2012)

Appendix 2

See Table 7.

Table 7 Characteristics of current farm plans

Appendix 3

See Table 8.

Table 8 Overview of rotational constraints included in FarmDESIGN

Appendix 4

See Table 9.

Table 9 Overview of general and nutrient balances constraints

Appendix 5

See Table 10.

Table 10 Organic matter balance (per ha) at farm P1

Appendix 6

See Table 11.

Table 11 Overview of the nutrient balances at the current farm configuration (farm P1)

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Mandryk, M., Reidsma, P., Kanellopoulos, A. et al. The role of farmers’ objectives in current farm practices and adaptation preferences: a case study in Flevoland, the Netherlands. Reg Environ Change 14, 1463–1478 (2014). https://doi.org/10.1007/s10113-014-0589-9

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  • DOI: https://doi.org/10.1007/s10113-014-0589-9

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