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A dynamic bio-economic model for community management of goat and oak forests in Zagros, Iran

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  • Soltani, Arezoo
  • Sankhayan, Prem L.
  • Hofstad, Ole

Abstract

A deterministic, non-linear dynamic bio-economic model is developed to analyze interactions between goats and forests under different management regimes at a village level in Zagros, Iran. Data for the study were mainly obtained through participatory rural appraisal, village level survey, forest inventory and secondary sources. The model was run under six alternative management regimes represented by model scenarios: (1) BAU: the business as usual, (2) NSIR: no state intervention with traditional rules, (3) NRFG: no state and traditional rules, (4) NRF: no state and traditional rules without goat husbandry, (5) NFH: no forest harvesting, and (6) NGH: no goat husbandry. The results of BAU, NSIR and NRFG scenarios brought out that state control, traditional rules as well as biological feed-back mechanisms keep the goat population within carrying capacity. Comparing forest density in NSIR and NRFG model scenarios showed that even without state control, villagers managed to preserve forest resources through traditional institutional arrangements. The population of goats would decline if forest harvesting was banned due to reduction in coppicing and fodder availability. The highest NPV was observed under the NRFG model scenario resulting in lowest sustainability of resource use.

Suggested Citation

  • Soltani, Arezoo & Sankhayan, Prem L. & Hofstad, Ole, 2014. "A dynamic bio-economic model for community management of goat and oak forests in Zagros, Iran," Ecological Economics, Elsevier, vol. 106(C), pages 174-185.
    • Handle: RePEc:eee:ecolec:v:106:y:2014:i:c:p:174-185
    DOI: 10.1016/j.ecolecon.2014.07.020
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    References listed on IDEAS

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    1. Clarke, Harry R. & Reed, William J. & Shrestha, Ram M., 1993. "Optimal enforcement of property rights on developing country forests subject to illegal logging," Resource and Energy Economics, Elsevier, vol. 15(3), pages 271-293, September.
    2. Soltani, Arezoo & Angelsen, Arild & Eid, Tron, 2014. "Poverty, forest dependence and forest degradation links: evidence from Zagros, Iran," Environment and Development Economics, Cambridge University Press, vol. 19(5), pages 607-630, October.
    3. Wam, Hilde Karine, 2010. "Economists, time to team up with the ecologists!," Ecological Economics, Elsevier, vol. 69(4), pages 675-679, February.
    4. Wam, Hilde Karine & Hofstad, Ole, 2007. "Taking timber browsing damage into account: A density dependant matrix model for the optimal harvest of moose in Scandinavia," Ecological Economics, Elsevier, vol. 62(1), pages 45-55, April.
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    Cited by:

    1. Wam, Hilde Karine & Bunnefeld, Nils & Clarke, Nicholas & Hofstad, Ole, 2016. "Conflicting interests of ecosystem services: Multi-criteria modelling and indirect evaluation of trade-offs between monetary and non-monetary measures," Ecosystem Services, Elsevier, vol. 22(PB), pages 280-288.
    2. Soltani, Arezoo & Sankhayan, Prem L. & Hofstad, Ole, 2015. "A recipe for co-management of forest and livestock — Results of bio-economic model at a village level in Iran," Agricultural Systems, Elsevier, vol. 140(C), pages 74-86.
    3. Mehdi Zandebasiri & José António Filipe & Javad Soosani & Mehdi Pourhashemi & Luca Salvati & Mário Nuno Mata & Pedro Neves Mata, 2020. "An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    4. Soltani, Arezoo & Sankhayan, Prem Lall & Hofstad, Ole, 2016. "Playing forest governance games: State-village conflict in Iran," Forest Policy and Economics, Elsevier, vol. 73(C), pages 251-261.

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