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Trading deforestation—why the legality of forest-risk commodities is insufficient

Authors: Tiago N P dos Reis; Vinicius Guidotti de Faria; Gabriela Russo Lopes; Gerd Sparovek; Chris West; Raoni Rajão; Mariana Napolitano Ferreira; +2 Authors

Trading deforestation—why the legality of forest-risk commodities is insufficient

Abstract

Abstract Consumer countries and blocs, including the UK and the EU, are defining legal measures to tackle deforestation linked to commodity imports, potentially requiring imported goods to comply with the relevant producer countries’ land-use laws. Nonetheless, this measure is insufficient to address global deforestation. Using Brazil’s example of a key exporter of forest-risk commodities, here we show that it has ∼3.25 Mha of natural habitat (storing ∼152.8 million tons of potential CO2 emissions) at a high risk of legal deforestation until 2025. Additionally, the country’s legal framework is going through modifications to legalize agricultural production in illegally deforested areas. What was illegal may become legal shortly. Hence, a legality criterion adopted by consumer countries is insufficient to protect forests and other ecosystems and may worsen deforestation and conversion risks by incentivizing the weakening of social-environmental protection by producer countries.

Keywords

340, 330, traded deforestation, Science, Physics, QC1-999, Q, legislation requirements, export-driven agricultural expansion, Environmental technology. Sanitary engineering, Environmental sciences, commodity supply-chains, GE1-350, legal CO2 emissions, Brazilian Forest Code, TD1-1066

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    selected citations
    These citations are derived from selected sources.
    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).
    14
    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).
    Average
    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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selected citations
These citations are derived from selected sources.
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!
14
Top 10%
Average
Top 10%
Green
gold