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A Spatially Explicit Choice Model to Assess the Impact of Conservation Policy on High Nature Value Farming Systems

Author

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  • Ribeiro, Paulo Flores
  • Nunes, Luís Catela
  • Beja, Pedro
  • Reino, Luís
  • Santana, Joana
  • Moreira, Francisco
  • Santos, José Lima

Abstract

High Nature Value (HNV) farmland is declining in the EU, with negative consequences for biodiversity conservation. Agri-environment schemes implemented under the Common Agricultural Policy have addressed this problem, with recent proposals advocating direct support to HNV farming systems. However, research is lacking on the economics of HNV farming, which makes it difficult to set the level and type of support that ensure its sustainability. In this paper, we focused on a Special Protection Area for steppe bird conservation, analysing how economic incentives, biophysical and structural features govern the choice of farming system. We found that persistence of the traditional farming system important for steppe birds was associated with economic incentives, resistance to change, and good quality soils, whereas a shift to specialised livestock production systems was favoured by higher rainfall and less fragmented farms. A supply curve built using the choice model predicted that the proportion of traditional farming increased from 20% to 80% of the landscape, when economic incentives increased from about 100€/ha to 160€/ha. Overall, our study highlights the dependence of HNV farming systems on economic incentives, and provides a framework to assess the effects of alternative policy and market scenarios to sustain farmland landscapes promoting biodiversity conservation.

Suggested Citation

  • Ribeiro, Paulo Flores & Nunes, Luís Catela & Beja, Pedro & Reino, Luís & Santana, Joana & Moreira, Francisco & Santos, José Lima, 2018. "A Spatially Explicit Choice Model to Assess the Impact of Conservation Policy on High Nature Value Farming Systems," Ecological Economics, Elsevier, vol. 145(C), pages 331-338.
    • Handle: RePEc:eee:ecolec:v:145:y:2018:i:c:p:331-338
    DOI: 10.1016/j.ecolecon.2017.11.011
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    Citations

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    Cited by:

    1. Costanza Fiorentino & Paola D’Antonio & Francesco Toscano & Angelo Donvito & Felice Modugno, 2023. "New Technique for Monitoring High Nature Value Farmland (HNVF) in Basilicata," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Friederike Lehn & Enno Bahrs, 2018. "Land-Use Competition or Compatibility between Nature Conservation and Agriculture? The Impact of Protected Areas on German Standard Farmland Values," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    3. Niskanen, Olli & Tienhaara, Annika & Haltia, Emmi & Pouta, Eija, 2021. "Farmers’ heterogeneous preferences towards results-based environmental policies," Land Use Policy, Elsevier, vol. 102(C).
    4. Šumrada, Tanja & Vreš, Branko & Čelik, Tatjana & Šilc, Urban & Rac, Ilona & Udovč, Andrej & Erjavec, Emil, 2021. "Are result-based schemes a superior approach to the conservation of High Nature Value grasslands? Evidence from Slovenia," Land Use Policy, Elsevier, vol. 111(C).
    5. Pacheco de Castro Flores Ribeiro, Paulo & Osório de Barros de Lima e Santos, José Manuel & Prudêncio Rafael Canadas, Maria João & Contente de Vinha Novais, Ana Maria & Ribeiro Ferraria Moreira, Franci, 2021. "Explaining farming systems spatial patterns: A farm-level choice model based on socioeconomic and biophysical drivers," Agricultural Systems, Elsevier, vol. 191(C).
    6. Ernst-August Nuppenau, 2022. "Central and Decentral Aspects of Land Use: Optimizing Public Finance and Payments for Nature in Space by Control Theory," SN Operations Research Forum, Springer, vol. 3(3), pages 1-36, September.

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