2018
DOI: 10.1088/1748-9326/aaccbb
|View full text |Cite
|
Sign up to set email alerts
|

Future environmental and agricultural impacts of Brazil’s Forest Code

Abstract: The role of improving the enforcement of Brazil's Forest Code in reducing deforestation in the Amazon has been highlighted in many studies. However, in a context of strong political pressure for loosening environmental protections, the future impacts of a nationwide implementation of the Forest Code on both environment and agriculture remain poorly understood. Here, we present a spatially explicit assessment of Brazil's 2012 Forest Code through the year 2050; specifically, we use a partial equilibrium economic… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
108
0
5

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 74 publications
(115 citation statements)
references
References 35 publications
2
108
0
5
Order By: Relevance
“…Most notably, the New Forest Code enacted in late 2012, and disputed in the Supreme Court until 2018, set an amnesty for "small" properties that had deforested Legal Reserve areas before 2008 -in practice, forgiving 90 percent of the rural properties in the area for engaging in crimes of illegal deforestation (Soares-Filho et al, 2014). This reversal is consistent with the hypothesis that environmental protection was weakened and reversed under political pressure (Fearnside, 2016;Azevedo et al, 2017;Freitas et al, 2018;Soterroni et al, 2018). Newly released satellite data therefore allows us to document this widespread reversal across the Brazilian Amazon, and in particular, our border analysis shows that this is a uniquely Brazilian phenomenon.…”
Section: Introductionsupporting
confidence: 54%
See 2 more Smart Citations
“…Most notably, the New Forest Code enacted in late 2012, and disputed in the Supreme Court until 2018, set an amnesty for "small" properties that had deforested Legal Reserve areas before 2008 -in practice, forgiving 90 percent of the rural properties in the area for engaging in crimes of illegal deforestation (Soares-Filho et al, 2014). This reversal is consistent with the hypothesis that environmental protection was weakened and reversed under political pressure (Fearnside, 2016;Azevedo et al, 2017;Freitas et al, 2018;Soterroni et al, 2018). Newly released satellite data therefore allows us to document this widespread reversal across the Brazilian Amazon, and in particular, our border analysis shows that this is a uniquely Brazilian phenomenon.…”
Section: Introductionsupporting
confidence: 54%
“…The only exception is when using 11km bandwidth, OLS estimation and triangular kernel (when cluster-robust p-value is equal to 0.16). recent reversal is due to political and economic crises colliding with a weakening of forest conservation laws in Brazil (Soares-Filho et al, 2014;Ferreira et al, 2014;Fearnside, 2016;Azevedo et al, 2017;Freitas et al, 2018;Soterroni et al, 2018).…”
Section: Thementioning
confidence: 99%
See 1 more Smart Citation
“…Most of the legal mechanisms meant to reduce deforestation are part of the Brazilian Forest Code. However, the latest revisions of the Forest Code (2012) are not yet (fully) implemented due to lobbying from, e.g., agribusiness . On the contrary, new laws outside the Forest Code were put into force in 2017 that enabled private land owners to legalize their land holdings, allowing for land grabbing and subsequently leading to deforestation .…”
Section: Discussionmentioning
confidence: 99%
“…Historical validation or 'hindcasting,' the second and most common approach to the validation challenge in global modeling, relies on the comparison of simulated outputs to historical 'real-world' data. This method has become standard in climate modeling (Oreskes et al 1994, Brands et al 2013, but there are relatively few recent examples of historical validation of agro-economic models (Schmitz et al 2012, Chen and Khanna 2018, Soterroni et al 2018, Yao et al 2018. One notable example is offered by Dietrich et al (2014) who ran the MAgPIE model over the period 1995-2060 and examined productivity changes at the continental scale, comparing predictions to historical observations over the decade from 1995 to 2005.…”
Section: Model Validation: the 'Holy Grail'mentioning
confidence: 99%