The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images

Rudorff, Bernardo Friedrich Theodor; Adami, Marcos; Aguiar, Daniel Alves; Moreira, Maurício Alves; Mello, Márcio Pupin; Fabiani, Leandro; Amaral, Daniel Furlan; Pires, Bernardo

doi:10.3390/rs3010185

Cited by 153 publications

(136 citation statements)

References 38 publications

Supporting

Mentioning

121

Contrasting

Unclassified

Order By: Relevance

“…Additionally, both cropland and urban areas expanded, which led to the highest deforestation rates. These trends portray the recent dynamics along the BR-163, shaped by land-use intensification, expansion of export-oriented crops, and increasing land prices (Richards 2012;Rudorff et al 2011). However, the latest dynamics within the region, the implementation of land-use policies such as the PPCDAm, and agricultural prices have slowed the expansion of cropland and pasture (Gibbs et al 2015;Gollnow and Lakes 2014;Macedo et al 2012).…”

Section: Discussionmentioning

confidence: 99%

“…The Soy Moratorium and Beef Moratorium are pledges that were agreed to by the major soybean companies and beef traders, respectively, to ensure that their products would not be produced on newly deforested lands (Boucher et al 2013). These actions, in combination with changes in global prices for agricultural goods, led to a 68.2% decrease in deforestation rates in 2015 compared with the past decade 's (1996-2006) baseline (Assunção et al 2012(Assunção et al , 2013Boucher et al 2013;Gibbs et al 2015;INPE 2016;Rudorff et al 2011). However, in 2013, deforestation increased, although at significantly lower rates compared with the beginning of the remote sensing monitoring program (INPE 2016).…”

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis

et al. 2017

View full text Add to dashboard Cite

Local, regional, and global processes affect deforestation and land-use changes in the Brazilian Amazon. Characteristics are: direct conversions from forest to pasture; regional processes of indirect land-use change, described by the conversion of pastures to cropland, which increases the demand for pastures elsewhere; and teleconnections, fueled by the global demands for soybeans as animal fodder. We modeled land-use changes for two scenarios Trend and Sustainable Development for a hot spot of land-use change along the BR-163 highway in Mato Grosso and Pará, Brazil. We investigated the differences between a coupled modeling approach, which incorporates indirect land-use change processes, and a noncoupled landuse model. We coupled the regional-scale LandSHIFT model, defined for Mato Grosso and Pará, with a subregional model, alucR, covering a selected corridor along the BR-163. The results indicated distinct land-use scenario outcomes from the coupled modeling approach and the subregional model quantification. We found the highest deforestation estimates returned from the subregional quantification of the Trend scenario. This originated from the strong local dynamics of past deforestation and landuse changes. Land-use changes exceeded the demands estimated at regional scale. We observed the lowest deforestation estimates at the subregional quantification of the Sustainable Development story line. We highlight that model coupling increased the representation of scenario outcomes at fine resolution while providing consistency across scales. However, distinct local dynamics were explicitly captured at subregional scale. The scenario result pinpoints the importance of policies to aim at the cattle ranching sector, to increase land tenure registration and enforcement of environmental laws.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Area deforested in 2010 was only 11 per cent of the 1996-2005 historical average, although in 2011 deforestation in Mato Grosso ticked back upwards [18]. The drop in deforestation coincided with reduced meat and soya bean demand owing to the global economic recession; proactive efforts by national, state and local governments to control deforestation; and the soya bean industry's 2006 self-imposed moratorium on soya bean produced from deforested areas [19][20][21]. Monitoring capabilities to identify deforestation in near-real-time [22] and high-profile interventions in illegal activities contributed to the ability to control deforestation.…”

Section: Introductionmentioning

confidence: 99%

Export-oriented deforestation in Mato Grosso: harbinger or exception for other tropical forests?

DeFries

Herold

Verchot

et al. 2013

Phil. Trans. R. Soc. B

View full text Add to dashboard Cite

The Brazilian state of Mato Grosso was a global deforestation hotspot in the early 2000s. Deforested land is used predominantly to produce meat for distal consumption either through cattle ranching or soya bean for livestock feed. Deforestation declined dramatically in the latter part of the decade through a combination of market forces, policies, enforcement and improved monitoring. This study assesses how representative the national-level drivers underlying Mato Grosso's export-oriented deforestation are in other tropical forest countries based on agricultural exports, commercial agriculture and urbanization. We also assess how pervasive the governance and technical monitoring capacity that enabled Mato Grosso's decline in deforestation is in other countries. We find that between 41 and 54 per cent of 2000–2005 deforestation in tropical forest countries (other than Brazil) occurred in countries with drivers similar to Brazil. Very few countries had national-level governance and capacity similar to Brazil. Results suggest that the ecological, hydrological and social consequences of land-use change for export-oriented agriculture as discussed in this Theme Issue were applicable in about one-third of all tropical forest countries in 2000–2005. However, the feasibility of replicating Mato Grosso's success with controlling deforestation is more limited. Production landscapes to support distal consumption similar to Mato Grosso are likely to become more prevalent and are unlikely to follow a land-use transition model with increasing forest cover.

show abstract

“…However, smaller areas of deforestation that begin in specific spots are very often not isolated events that occur in a single year, but gradually increase through deforestation of adjacent areas in following years, thus forming larger deforested areas [4,21,32]. Therefore, annual deforested polygons of <25 ha were also monitored when the sum of the annual and adjacent deforested polygons became ≥25 ha.…”

Section: Preprocessing Of Deforested Polygons From the Prodes Projectmentioning

confidence: 99%

“…Consequently, in July 2006, Brazilian Vegetable Oil Industries Association (ABIOVE) and the National Grain Exporters Association (ANEC) announced the signing of the Soy Moratorium, an agreement that committed the member companies of ABIOVE and ANEC not to purchase soy produced in areas of the Amazon biome that were deforested after July 2006 [21,22]. According to Lovatelli [22], soon after the declaration of the Soy Moratorium, in October 2006, the Soy Task Force (GTS) was formed, consisting of representatives from the soy productive chain sector (ABIOVE, ADM, ANEC, Algar Agro, Amaggi, Baldo, Bunge, Cargill, IMCOPA, Louis Dreyfus and Óleos Menu) and from the civil society (Greenpeace, International Conservation, IPAM, The Nature Conservancy and WWF-Brasil).…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative

et al. 2012

Self Cite

View full text Add to dashboard Cite

Abstract:The Soy Moratorium is an initiative to reduce deforestation rates in the Amazon biome based on the hypothesis that soy is a deforestation driver. Soy planted in opened areas after July 24th, 2006 cannot be commercialized by the associated companies to the Brazilian Association of Vegetable Oil Industries (ABIOVE) and the National Association of Cereal Exporters (ANEC), which represent about 90% of the Brazilian soy market. The objective of this work is to present the evaluation of the fourth year of monitoring new soy plantations within the Soy Moratorium context. With the use of satellite images from the MODIS sensor, together with aerial survey, it was possible to identify 147 polygons with new soy plantations on 11,698 ha. This soy area represents 0.39% of the of the total deforested area during the moratorium, in the three soy producing states of the Amazon biome, and 0.6% of the cultivated soy area in the Amazon biome, indicating that soy is currently a minor deforestation driver. The quantitative geospatial information provided by an effective monitoring approach is paramount to the implementation of a governance OPEN ACCESSSustainability 2012, 4 1075 process required to establish an equitable balance between environmental protection and agricultural production.

show abstract

The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images

Cited by 153 publications

References 38 publications

Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis

Scenarios of land-use change in a deforestation corridor in the Brazilian Amazon: combining two scales of analysis

Export-oriented deforestation in Mato Grosso: harbinger or exception for other tropical forests?

Remote Sensing Images to Detect Soy Plantations in the Amazon Biome—The Soy Moratorium Initiative

Contact Info

Product

Resources

About