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Co-ordinating Economic, Behavioural and Spatial Aspects of Wildlife Preservation in Agriculture

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  • Wossink, Ada, et al

Abstract

This paper addresses the supply side of wildlife preservation and restoration in agriculture at the regional level. First, we show how network design modelling can be used for economic optimal spatial selection of unsprayed field margins creating a wildlife corridor in the landscape. Second, we analyse the compatibility of field margin management with farmers' perceptions by using the results of conjoint analysis in the spatial optimisation. The theoretical model is implemented by means of a GIS model and an empirical example is added to illustrate the approach. Copyright 1999 by Oxford University Press.

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  • Wossink, Ada, et al, 1999. "Co-ordinating Economic, Behavioural and Spatial Aspects of Wildlife Preservation in Agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(4), pages 443-460, December.
    • Handle: RePEc:oup:erevae:v:26:y:1999:i:4:p:443-60
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    Cited by:

    1. Bamière, Laure & David, Maia & Vermont, Bruno, 2013. "Agri-environmental policies for biodiversity when the spatial pattern of the reserve matters," Ecological Economics, Elsevier, vol. 85(C), pages 97-104.
    2. Sydorovych, Olha & Wossink, Ada, 2008. "The meaning of agricultural sustainability: Evidence from a conjoint choice survey," Agricultural Systems, Elsevier, vol. 98(1), pages 10-20, July.
    3. Bamiére, Laure & David, Maia & Vermont, Bruno, 2011. "Agri-Environmental Policies When the Spatial Pattern of Biodiversity Reserves Matters," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114239, European Association of Agricultural Economists.
    4. Werner Hediger, 2003. "Alternative policy measures and farmers' participation to improve rural landscapes and water quality: A conceptual framework," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(III), pages 333-350, September.
    5. van Wenum, J. H. & Wossink, G. A. A. & Renkema, J. A., 2004. "Location-specific modeling for optimizing wildlife management on crop farms," Ecological Economics, Elsevier, vol. 48(4), pages 395-407, April.
    6. Bamière, Laure & Havlík, Petr & Jacquet, Florence & Lherm, Michel & Millet, Guy & Bretagnolle, Vincent, 2011. "Farming system modelling for agri-environmental policy design: The case of a spatially non-aggregated allocation of conservation measures," Ecological Economics, Elsevier, vol. 70(5), pages 891-899, March.
    7. Pérez-Sánchez, Cristina & Pierri-Daunt, Ana Beatriz & Villamayor-Tomas, Sergio, 2024. "Unraveling spatial agglomeration patterns in agri-environmental schemes: Evidence from the improvement of steppe habitats in the Natura 2000 network in Catalonia (Spain)," Land Use Policy, Elsevier, vol. 142(C).
    8. J.C.J. Groot & W.H.A. Rossing & M. Tichit & N. Turpin & A. Jellema & J. Baudry & P.H. Verburg & L. Doyen & G.W.J. van de Ven, 2009. "On the contribution of modelling to multifunctional agriculture: Learning from comparisons," Post-Print hal-00455433, HAL.
    9. Joubert, J.W. & Luhandjula, M.K. & Ncube, O. & le Roux, G. & de Wet, F., 2007. "An optimization model for the management of a South African game ranch," Agricultural Systems, Elsevier, vol. 92(1-3), pages 223-239, January.

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