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

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...

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Autores principales: Abram, Nicola K., MacMillan, Douglas C., Xofis, Panteleimon, Ancrenaz, Marc, Tzanopoulos, Joseph, Ong, Robert, Goossens, Benoit, Koh, Lian Pin, Del Valle, Christian, Peter, Lucy, Morel, Alexandra C., Lackman, Isabelle, Chung, Robin, Kler, Harjinder, Ambu, Laurentius, Baya, William, Knight, Andrew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898686/
https://www.ncbi.nlm.nih.gov/pubmed/27276218
http://dx.doi.org/10.1371/journal.pone.0156481
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author Abram, Nicola K.
MacMillan, Douglas C.
Xofis, Panteleimon
Ancrenaz, Marc
Tzanopoulos, Joseph
Ong, Robert
Goossens, Benoit
Koh, Lian Pin
Del Valle, Christian
Peter, Lucy
Morel, Alexandra C.
Lackman, Isabelle
Chung, Robin
Kler, Harjinder
Ambu, Laurentius
Baya, William
Knight, Andrew T.
author_facet Abram, Nicola K.
MacMillan, Douglas C.
Xofis, Panteleimon
Ancrenaz, Marc
Tzanopoulos, Joseph
Ong, Robert
Goossens, Benoit
Koh, Lian Pin
Del Valle, Christian
Peter, Lucy
Morel, Alexandra C.
Lackman, Isabelle
Chung, Robin
Kler, Harjinder
Ambu, Laurentius
Baya, William
Knight, Andrew T.
author_sort Abram, Nicola K.
collection PubMed
description 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 MgCO(2)e) 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 MgCO(2)e) 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.
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spelling pubmed-48986862016-06-16 Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach Abram, Nicola K. MacMillan, Douglas C. Xofis, Panteleimon Ancrenaz, Marc Tzanopoulos, Joseph Ong, Robert Goossens, Benoit Koh, Lian Pin Del Valle, Christian Peter, Lucy Morel, Alexandra C. Lackman, Isabelle Chung, Robin Kler, Harjinder Ambu, Laurentius Baya, William Knight, Andrew T. PLoS One Research Article 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 MgCO(2)e) 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 MgCO(2)e) 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. Public Library of Science 2016-06-08 /pmc/articles/PMC4898686/ /pubmed/27276218 http://dx.doi.org/10.1371/journal.pone.0156481 Text en © 2016 Abram et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Abram, Nicola K.
MacMillan, Douglas C.
Xofis, Panteleimon
Ancrenaz, Marc
Tzanopoulos, Joseph
Ong, Robert
Goossens, Benoit
Koh, Lian Pin
Del Valle, Christian
Peter, Lucy
Morel, Alexandra C.
Lackman, Isabelle
Chung, Robin
Kler, Harjinder
Ambu, Laurentius
Baya, William
Knight, Andrew T.
Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title_full Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title_fullStr Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title_full_unstemmed Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title_short Identifying Where REDD+ Financially Out-Competes Oil Palm in Floodplain Landscapes Using a Fine-Scale Approach
title_sort identifying where redd+ financially out-competes oil palm in floodplain landscapes using a fine-scale approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898686/
https://www.ncbi.nlm.nih.gov/pubmed/27276218
http://dx.doi.org/10.1371/journal.pone.0156481
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