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Questioning emissions-based approaches for the definition of REDD+ deforestation baselines in high forest cover/low deforestation countries

Author

Listed:
  • Camille Dezécache

    (UMR ECOFOG - Ecologie des forêts de Guyane - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - AgroParisTech - UG - Université de Guyane - CNRS - Centre National de la Recherche Scientifique - UA - Université des Antilles)

  • Jean-Michel Salles

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Bruno Hérault

    (Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement, INP-HB - Institut National Polytechnique Félix Houphouët-Boigny [Yamoussoukro])

Abstract

Background: REDD+ is being questioned by the particular status of High Forest/Low Deforestation countries. Indeed, the formulation of reference levels is made difficult by the confrontation of low historical deforestation records with the forest transition theory on the one hand. On the other hand, those countries might formulate incred‑ibly high deforestation scenarios to ensure large payments even in case of inaction. Results: Using a wide range of scenarios within the Guiana Shield, from methods involving basic assumptions made from past deforestation, to explicit modelling of deforestation using relevant socio‑economic variables at the regional scale, we show that the most common methodologies predict huge increases in deforestation, unlikely to happen given the existing socio‑economic situation. More importantly, it is unlikely that funds provided under most of these scenarios could compensate for the total cost of avoided deforestation in the region, including social and economic costs. Conclusion: This study suggests that a useful and efficient international mechanism should really focus on removing the underlying political and socio‑economic forces of deforestation rather than on hypothetical result‑based pay‑ments estimated from very questionable reference levels.

Suggested Citation

  • Camille Dezécache & Jean-Michel Salles & Bruno Hérault, 2018. "Questioning emissions-based approaches for the definition of REDD+ deforestation baselines in high forest cover/low deforestation countries," Post-Print hal-01952492, HAL.
  • Handle: RePEc:hal:journl:hal-01952492
    DOI: 10.1186/s13021-018-0109-1
    Note: View the original document on HAL open archive server: https://hal.umontpellier.fr/hal-01952492
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    References listed on IDEAS

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    1. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    2. Richard Dudley, 2010. "A little REDD model to quickly compare possible baseline and policy scenarios for reducing emissions from deforestation and forest degradation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(1), pages 53-69, January.
    3. Gavin Hilson & Mark Hirons & Mark Hirons, 2011. "Locking‐In Carbon, Locking‐Out Livelihoods? Artisanal Mining And Redd In Sub‐Saharan Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 23(8), pages 1140-1150, November.
    4. Arild Angelsen & Thomas K. Rudel, 2013. "Designing and Implementing Effective REDD + Policies: A Forest Transition Approach," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(1), pages 91-113, January.
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    Cited by:

    1. Zhang, Yajuan & Zhang, Lijin & Wang, Huan & Wang, Yueyao & Ding, Jiaqi & Shen, Jiashu & Wang, Zheng & Liu, Yinglu & Liang, Chenyu & Li, Shuangcheng, 2022. "Reconstructing deforestation patterns in China from 2000 to 2019," Ecological Modelling, Elsevier, vol. 465(C).

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    Keywords

    Deforestation; HFLD countries; Baseline; Reference level; Spatial modelling; REDD+; Guiana Shield;
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