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Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach

Author

Listed:
  • Nicola K Abram
  • Douglas C MacMillan
  • Panteleimon Xofis
  • Marc Ancrenaz
  • Joseph Tzanopoulos
  • Robert Ong
  • Benoit Goossens
  • Lian Pin Koh
  • Christian Del Valle
  • Lucy Peter
  • Alexandra C Morel
  • Isabelle Lackman
  • Robin Chung
  • Harjinder Kler
  • Laurentius Ambu
  • William Baya
  • Andrew T Knight

Abstract

Reducing Emissions from Deforestation and forest Degradation (REDD+) aims to avoid forest conversion to alternative land-uses through financial incentives. Oil-palm has high opportunity costs, which according to current literature questions the financial competitiveness of REDD+ in tropical lowlands. To understand this more, we undertook regional fine-scale and coarse-scale analyses (through carbon mapping and economic modelling) to assess the financial viability of REDD+ in safeguarding unprotected forest (30,173 ha) in the Lower Kinabatangan floodplain in Malaysian Borneo. Results estimate 4.7 million metric tons of carbon (MgC) in unprotected forest, with 64% allocated for oil-palm cultivations. Through fine-scale mapping and carbon accounting, we demonstrated that REDD+ can outcompete oil-palm in regions with low suitability, with low carbon prices and low carbon stock. In areas with medium oil-palm suitability, REDD+ could outcompete oil palm in areas with: very high carbon and lower carbon price; medium carbon price and average carbon stock; or, low carbon stock and high carbon price. Areas with high oil palm suitability, REDD+ could only outcompete with higher carbon price and higher carbon stock. In the coarse-scale model, oil-palm outcompeted REDD+ in all cases. For the fine-scale models at the landscape level, low carbon offset prices (US $3 MgCO2e) would enable REDD+ to outcompete oil-palm in 55% of the unprotected forests requiring US $27 million to secure these areas for 25 years. Higher carbon offset price (US $30 MgCO2e) would increase the competitiveness of REDD+ within the landscape but would still only capture between 69%-74% of the unprotected forest, requiring US $380–416 million in carbon financing. REDD+ has been identified as a strategy to mitigate climate change by many countries (including Malaysia). Although REDD+ in certain scenarios cannot outcompete oil palm, this research contributes to the global REDD+ debate by: highlighting REDD+ competitiveness in tropical floodplain landscapes; and, providing a robust approach for identifying and targeting limited REDD+ funds.

Suggested Citation

  • Nicola K Abram & Douglas C MacMillan & Panteleimon Xofis & Marc Ancrenaz & Joseph Tzanopoulos & Robert Ong & Benoit Goossens & Lian Pin Koh & Christian Del Valle & Lucy Peter & Alexandra C Morel & Isa, 2016. "Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-23, June.
    • Handle: RePEc:plo:pone00:0156481
    DOI: 10.1371/journal.pone.0156481
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    References listed on IDEAS

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    1. Delacote, Philippe & Palmer, Charles & Bakkegaard, Riyong Kim & Thorsen, Bo Jellesmark, 2014. "Unveiling information on opportunity costs in REDD: Who obtains the surplus when policy objectives differ?," Resource and Energy Economics, Elsevier, vol. 36(2), pages 508-527.
    2. Kimberly M. Carlson & Lisa M. Curran & Gregory P. Asner & Alice McDonald Pittman & Simon N. Trigg & J. Marion Adeney, 2013. "Carbon emissions from forest conversion by Kalimantan oil palm plantations," Nature Climate Change, Nature, vol. 3(3), pages 283-287, March.
    3. Cacho, Oscar J. & Milne, Sarah & Gonzalez, Ricardo & Tacconi, Luca, 2014. "Benefits and costs of deforestation by smallholders: Implications for forest conservation and climate policy," Ecological Economics, Elsevier, vol. 107(C), pages 321-332.
    4. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Leventon, Julia & Kalaba, Felix K. & Dyer, Jen C. & Stringer, Lindsay C. & Dougill, Andrew J., 2014. "Delivering community benefits through REDD+: Lessons from Joint Forest Management in Zambia," Forest Policy and Economics, Elsevier, vol. 44(C), pages 10-17.
    6. Broch, Stine Wamberg & Strange, Niels & Jacobsen, Jette B. & Wilson, Kerrie A., 2013. "Farmers' willingness to provide ecosystem services and effects of their spatial distribution," Ecological Economics, Elsevier, vol. 92(C), pages 78-86.
    7. repec:dau:papers:123456789/12951 is not listed on IDEAS
    8. Abram, Nicola K. & Meijaard, Erik & Ancrenaz, Marc & Runting, Rebecca K. & Wells, Jessie A. & Gaveau, David & Pellier, Anne-Sophie & Mengersen, Kerrie, 2014. "Spatially explicit perceptions of ecosystem services and land cover change in forested regions of Borneo," Ecosystem Services, Elsevier, vol. 7(C), pages 116-127.
    9. Pagiola, Stefano & Bosquet, Benoit, 2009. "Estimating the costs of REDD at the country level," MPRA Paper 13726, University Library of Munich, Germany.
    10. A. Baccini & S. J. Goetz & W. S. Walker & N. T. Laporte & M. Sun & D. Sulla-Menashe & J. Hackler & P. S. A. Beck & R. Dubayah & M. A. Friedl & S. Samanta & R. A. Houghton, 2012. "Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps," Nature Climate Change, Nature, vol. 2(3), pages 182-185, March.
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    Cited by:

    1. Ranjan, Ram, 2021. "Land use decisions under REDD+ incentives when warming temperatures affect crop productivity and forest biomass growth rates," Land Use Policy, Elsevier, vol. 108(C).
    2. Cadman, Tim & Sarker, Tapan & Muttaqin, Zahrul & Nurfatriani, Fitri & Salminah, Mimi & Maraseni, Tek, 2019. "The role of fiscal instruments in encouraging the private sector and smallholders to reduce emissions from deforestation and forest degradation: Evidence from Indonesia," Forest Policy and Economics, Elsevier, vol. 108(C), pages 1-1.

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