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Estimating the Resilience Value of Soil Biodiversity in Agriculture: A Stochastic Simulation Approach

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  • Brady, Mark
  • Cong, RongGang

Abstract

Characteristic of ecosystems is that different organisms can have similar functions and hence provide similar ecosystem services. Consequently functional diversity can maintain the rate of services despite environmental fluctuations. In this paper we present a method for estimating the resilience value of biodiversity. Central to a resilience perspective on biological conservation is consideration of uncertainty about the future. To do this we propose stochastic simulation as a practical approach for valuing resilience due to the ease of incorporating uncertain variables. We demonstrate the approach by developing a stochastic simulation model for valuing soil biodiversity in agriculture. Our results indicate that the long time frames involved in soil processes create a significant incentive to perpetuate unsustainable farming systems and hence there might be a need for policy intervention. However we also show that investing in soil biodiversity conservation can provide significant risk diversification benefits that are not accounted for in a deterministic evaluation. These benefits can be estimated through stochastic simulation.

Suggested Citation

  • Brady, Mark & Cong, RongGang, 2011. "Estimating the Resilience Value of Soil Biodiversity in Agriculture: A Stochastic Simulation Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114269, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae11:114269
    DOI: 10.22004/ag.econ.114269
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    References listed on IDEAS

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    Cited by:

    1. Tobon Orozco, David & Molina Guerra, Carlos & Vargas Cano, John Harvey, 2016. "Extent of Expected Pigouvian Taxes and Permits for Environmental Services in a General Equilibrium Model with a natural capital constraint," Borradores Departamento de Economía 15258, Universidad de Antioquia, CIE.

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