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The Brazilian Soy Moratorium has effectively reduced forest conversion for soybeans in Amazonia. has come at the expense of the region’s pasturelands, which have increasingly ceded space for soy expansion. The question of extending the policy to the Cerrado, where recent soy has come at the cost of ecologically valuable vegetation, plugs into a wider discussion on to reconcile competing commodities on finite amounts of cleared area. Innovative management that allow different land uses to coexist are urgently needed. Integrated crop-livestock with soybeans (ICLS) rotates beef and soy on the same area, and shows promise as a means to production, farmer benefit, and environmental impacts. Here we reconstruct historical land maps to estimate Cerrado Soy Moratorium outcomes with benchmark years in 2008 and 2014, we estimate additional production afforded by ICLS implementation between 2008 and 2014. We that if a 2008 Cerrado Soy Moratorium were in place, 0. 7 Mha of 2014 Cerrado soy area would be in violation of the policy. Roughly 96% of this acreage is found in Matopiba (82%) and Grosso (14%) states, suggesting that adoption may have slowed recent production in these transforming soy centers, in contrast to central and southwestern Cerrado where there is more eligible expansion area. Changing the benchmark to 2014 could have added 0. 7 Mha of expansion area, though over 80% of these additions would be in states with the most 2008 area (Distrito Federal, Mato Grosso, Maranhão, Minas Gerais, Mato Grosso do Sul). , ICLS adoption could have added between 4. 0 and 32 Mha of new soy land to the study without additional clearing between 2008 and 2014, though this would depend on rigorous land zoning policy to guide implementation. The roughly 5 Mha of Cerrado soybean that actually occurred between 2008 and 2014 could have been accommodated on 2008 pasture area given an ICLS rotation frequency of every 6 years or less. Conservation estimates here represent the upper limit of what is possible, as our scenario modeling does not account variables such as leakage, laundering, or rebound effects.
Nepstad et al. (Wed,) studied this question.