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How do REDD+ projects contribute to the goals of the Paris Agreement?

Authors: Stibniati S Atmadja; Amy E Duchelle; Veronique De Sy; Vivi Selviana; Mella Komalasari; Erin O Sills; Arild Angelsen;

How do REDD+ projects contribute to the goals of the Paris Agreement?

Abstract

Abstract Hundreds of projects to reduce emissions from deforestation and forest degradation and enhance carbon stocks (REDD+) are implemented globally, many by non-governmental organizations (NGOs) or for-profit companies. Yet, at the global level, the Paris Agreement focuses on jurisdictional (national and subnational) REDD+. We ask: (1) How much can REDD+ projects contribute to achieving national and international climate objectives? (2) What are the issues in integrating REDD+ projects into national carbon accounting? Our snapshot of 377 REDD+ projects covering 53 million ha in 56 countries is based on data from the International Database on REDD+ Projects (ID-RECCO) supplemented with new data on projects’ accounting methods. The number of new REDD+ projects declined steadily from 45 new projects in 2011 to five in 2019. We examined 161 certified projects that started between 2007 and 2017; 96 of these could sell carbon credits in voluntary carbon markets by 2020 and spent on average 4.7 (± 2.4) years between project start and sales in voluntary carbon markets. Globally, REDD+ projects claim to reduce an average of 3.67 tCO2e/ha annually. This figure - combined with projects limited coverage - implies that projects need to be upscaled more than 40x to fulfil the potential contribution of tropical and subtropical forests towards limiting global warming to well below 2oC. Compared to the national carbon accounting methods, most projects in Colombia, Indonesia and Peru (63 of 86) use at least one different carbon accounting parameter. Carbon accounting inconsistencies across levels need to be addressed. Overall, the argument for REDD+ projects lies in the emissions reductions they can achieve, diversifying participation in REDD+ and providing non-carbon benefits to local communities, potentially leading to broader support for climate action.

Countries
France, France, Netherlands, France
Keywords

montant compensatoire, http://aims.fao.org/aos/agrovoc/c_1767, forêt tropicale, Environmental technology. Sanitary engineering, natural climate solutions, climate change mitigation, http://aims.fao.org/aos/agrovoc/c_3062, forêt, http://aims.fao.org/aos/agrovoc/c_5725, GE1-350, TD1-1066, changement climatique, Physics, Q, climate change, réduction des émissions, protection de la forêt, déboisement, P01 - Conservation de la nature et ressources foncières, financement, data collection, http://aims.fao.org/aos/agrovoc/c_1374571087594, Science, QC1-999, http://aims.fao.org/aos/agrovoc/c_331597, http://aims.fao.org/aos/agrovoc/c_15590, gestion des ressources naturelles, mitigation, http://aims.fao.org/aos/agrovoc/c_24904, politique de l'environnement, http://aims.fao.org/aos/agrovoc/c_28075, voluntary carbon market, http://aims.fao.org/aos/agrovoc/c_1666, K70 - Dégâts causés aux forêts et leur protection, http://aims.fao.org/aos/agrovoc/c_1301, http://aims.fao.org/aos/agrovoc/c_3840, http://aims.fao.org/aos/agrovoc/c_2597, atténuation des effets du changement climatique, http://aims.fao.org/aos/agrovoc/c_28654, http://aims.fao.org/aos/agrovoc/c_29785, REDD+ benefits, Environmental sciences, monitoring, forest carbon, http://aims.fao.org/aos/agrovoc/c_9000115, research projects, afforestation reforestation, carbone

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
gold