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Minimum-data analysis of ecosystem service supply in semi-subsistence agricultural systems

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  • Antle, John M.
  • Diagana, Bocar
  • Stoorvogel, Jetse J.
  • Valdivia, Roberto O.

Abstract

Antle and Valdivia (2006, Australian Journal of Agricultural and Resource Economics 50, 1–15) proposed a minimum-data (MD) approach to simulate ecosystem service supply curves that can be implemented using readily available secondary data and validated the approach in a case study of soil carbon sequestration in a monoculture wheat system. However, many applications of the MD approach are in developing countries where semi-subsistence systems with multiple production activities are being used and data availability is limited. This paper discusses how MD analysis can be applied to more complex production systems such as semi-subsistence systems with multiple production activities and presents validation analysis for studies of soil carbon sequestration in semi-subsistence farming systems in Kenya and Senegal. Results from these two studies confirm that ecosystem service supply curves based on the MD approach are close approximations to the curves derived from highly detailed data and models and are therefore sufficiently accurate and robust to be used to support policy decision making.

Suggested Citation

  • Antle, John M. & Diagana, Bocar & Stoorvogel, Jetse J. & Valdivia, Roberto O., 2010. "Minimum-data analysis of ecosystem service supply in semi-subsistence agricultural systems," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 1-17.
    • Handle: RePEc:ags:aareaj:162051
    DOI: 10.22004/ag.econ.162051
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    5. Imelda Nalukenge & John Antle & Jetse Stoorvogel, 2009. "Assessing the Feasibility of Wetlands Conservation: Using Payments for Ecosystem Services in Pallisa, Uganda," Natural Resource Management and Policy, in: Leslie Lipper & Takumi Sakuyama & Randy Stringer & David Zilberman (ed.), Payment for Environmental Services in Agricultural Landscapes, chapter 11, pages 239-253, Springer.
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    7. Antle, John & Capalbo, Susan & Mooney, Sian & Elliott, Edward & Paustian, Keith, 2003. "Spatial heterogeneity, contract design, and the efficiency of carbon sequestration policies for agriculture," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 231-250, September.
    8. Diagana, Bocar & Antle, John & Stoorvogel, Jetse & Gray, Kara, 2007. "Economic potential for soil carbon sequestration in the Nioro region of Senegal's Peanut Basin," Agricultural Systems, Elsevier, vol. 94(1), pages 26-37, April.
    9. Immerzeel, Walter & Stoorvogel, Jetse & Antle, John, 2008. "Can payments for ecosystem services secure the water tower of Tibet," Agricultural Systems, Elsevier, vol. 96(1-3), pages 52-63, March.
    10. Siân Mooney & John Antle & Susan Capalbo & Keith Paustian, 2004. "Design and Costs of a Measurement Protocol for Trades in Soil Carbon Credits," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 52(3), pages 257-287, November.
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    Cited by:

    1. Shikuku, Kelvin M. & Valdivia, Roberto O. & Paul, Birthe K. & Mwongera, Caroline & Winowiecki, Leigh & Läderach, Peter & Herrero, Mario & Silvestri, Silvia, 2017. "Prioritizing climate-smart livestock technologies in rural Tanzania: A minimum data approach," Agricultural Systems, Elsevier, vol. 151(C), pages 204-216.
    2. Erqi Xu & Hongqi Zhang & Yang Yang & Ying Zhang, 2014. "Integrating a Spatially Explicit Tradeoff Analysis for Sustainable Land Use Optimal Allocation," Sustainability, MDPI, vol. 6(12), pages 1-22, December.
    3. John Antle & Stephen Ogle, 2012. "Influence of soil C, N 2 O and fuel use on GHG mitigation with no-till adoption," Climatic Change, Springer, vol. 111(3), pages 609-625, April.
    4. Nedumaran, S. & Kadiyala, D.M. & Srigiri, S.R. & Roberto, V. & McDermid, S., 2018. "Climate change impacts and vulnerability of fallow-chickpea based farm households in India: Assessment using Integrated modeling approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277100, International Association of Agricultural Economists.
    5. Jiang, Yanan & Guan, Dongjie & He, Xiujuan & Yin, Boling & Zhou, Lilei & Sun, Lingli & Huang, Danan & Li, Zihui & Zhang, Yanjun, 2022. "Quantification of the coupling relationship between ecological compensation and ecosystem services in the Yangtze River Economic Belt, China," Land Use Policy, Elsevier, vol. 114(C).
    6. Tran, N. & Crissman, C. & Chijere, A. & Hong, M.C. & Teoh, S.J. & Valdivia, R.O., 2013. "Ex-ante assessment of integrated aquaculture-agriculture adoption and impact in Southern Malawi," Monographs, The WorldFish Center, number 40078, April.
    7. Murshed-E-Jahan, K. & Crissman, C. & Antle, J., 2013. "Economic and social impacts of Integrated Aquaculture-Agriculture technologies in Bangladesh," Monographs, The WorldFish Center, number 40077, April.
    8. Skidmore, Samuel & Santos, Paulo & Leimona, Beria, 2014. "Targeting REDD+: An Empirical Analysis of Carbon Sequestration in Indonesia," World Development, Elsevier, vol. 64(C), pages 781-790.
    9. Emmanuelle Quillérou & Richard J. Thomas, 2012. "Costs of land degradation and benefits of land restoration: A review of valuation methods and suggested frameworks for inclusion into policy-making," Post-Print hal-01954793, HAL.
    10. Valdivia, Roberto O. & Antle, John M. & Stoorvogel, Jetse J., 2012. "Coupling the Tradeoff Analysis Model with a market equilibrium model to analyze economic and environmental outcomes of agricultural production systems," Agricultural Systems, Elsevier, vol. 110(C), pages 17-29.
    11. Kanter, David R. & Musumba, Mark & Wood, Sylvia L.R. & Palm, Cheryl & Antle, John & Balvanera, Patricia & Dale, Virginia H. & Havlik, Petr & Kline, Keith L. & Scholes, R.J. & Thornton, Philip & Titton, 2018. "Evaluating agricultural trade-offs in the age of sustainable development," Agricultural Systems, Elsevier, vol. 163(C), pages 73-88.

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