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Cost-effectiveness of conservation payment schemes under climate change

Author

Listed:
  • Emeline Hily

    (UMR INRA – AgroParisTech, Laboratoire d’Economie Forestière, 54042 Nancy Cedex, France
    BETA, University of Lorraine, 13 Place Carnot – CO n°70026. 54035 NANCY Cedex - France)

  • Martin Drechsler

    (Helmholtz Centre for Environmental Research, Department of Ecological Modelling)

  • Franck Wätzold

    (Brandenburg University of Technology Cottbus-Senftenberg, Chair of Environmental Economics)

Abstract

Climate change is expected to be one of the key threats for biodiversity conservation in this century. Conservation literature has pointed to the inadequacy of current biodiversity conservation practices relying predominantly on static approaches and showed the need to develop “climate-proof” conservation strategies. However, this debate has taken place largely in the conservation planning literature so far and ignored incentivebased conservation policy instruments such as conservation payments. Our general understanding is thus poor about how should conservation payments be designed so that they can contribute to biodiversity conservation under climate change in a cost-effective manner. In this work we develop an ecological-economic model and investigate the cost-effectiveness of various payment design options involving varying degrees of payments’ differentiation and targeting in a landscape whose dynamics is driven by climate change, while considering the impact of changes in key economic and ecological parameters. We provide the first comparative cost-effectiveness analysis of conservation payment designs in a changing climate on a conceptual level. Our results demonstrate the significant cost-effectiveness gains enabled by payments’ differentiation and targeting for biodiversity conservation under climate change. Moreover, we demonstrate the existence of connectivity/area trade-offs under climate change. The cost-effectiveness performance of targeted payments compared to untargeted differentiated payments increase with a decreasing species dispersal ability but decrease with decreasing climate stability in the landscape.

Suggested Citation

  • Emeline Hily & Martin Drechsler & Franck Wätzold, 2017. "Cost-effectiveness of conservation payment schemes under climate change," Working Papers - Cahiers du LEF 2017-01, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Jan 2017.
  • Handle: RePEc:lef:wpaper:2017-01
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    File URL: http://www6.nancy.inra.fr/lef/Cahiers-du-LEF/2017/2017-01
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    Citations

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    Cited by:

    1. Gerling, Charlotte & Drechsler, Martin & Keuler, Klaus & Leins, Johannes A. & Radtke, Kai & Schulz, Björn & Sturm, Astrid & Wätzold, Frank, 2021. "Cost-effective conservation in the face of climate change: combining ecological-economic modelling and climate science for the cost-effective spatio-temporal allocation of conservation measures in agr," MPRA Paper 105608, University Library of Munich, Germany.
    2. Gerling, Charlotte & Drechsler, Martin & Keuler, Klaus & Leins, Johannes A. & Radtke, Kai & Schulz, Björn & Sturm, Astrid & Wätzold, Frank, 2021. "Modelling the cost-effective spatio-temporal allocation of conservation measures in agricultural landscapes facing climate change," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242352, Verein für Socialpolitik / German Economic Association.
    3. Oliver Schöttker & Frank Wätzold, 2022. "Climate Change and the Cost-Effective Governance Mode for Biodiversity Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 409-436, June.
    4. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Irreversible and partly reversible investments in the optimal reserve design problem: the role of flexibility under climate change," MPRA Paper 112089, University Library of Munich, Germany.

    More about this item

    Keywords

    Biodiversity; Conservation payments; Cost-effectiveness; Climate change; Ecological-economic modeling; Spatio-temporal dynamics;
    All these keywords.

    JEL classification:

    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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