Land use change and land use displacement dynamics in Mato Grosso and Pará, Brazilian Amazon

Abstract

Demands for agricultural commodities are a major threat for some of the most valuable ecosystems in the world. The expansion of the agricultural sector in Brazil, fueled by global demands for soybeans, contributed to the loss of tropical and savanna ecosystems. However, most deforestation was caused by pastures, raising concerns about land use displacement processes between soybean expansion and cattle ranching. Promising, reductions of deforestation were observed following the implementation of governmental strategies and zero-deforestation supply chain commitments. This thesis aims to contribute to the understanding of spatial and temporal dynamics of soybean expansion and cattle ranching, driving deforestation in one of the most dynamic agricultural expansion and deforestation frontier of Brazil, in Mato Grosso and Pará. In this region, land use displacement describes the conversion of pasture to soybean followed by deforestation for cattle ranching at another location. This process was assessed at regional and property-level. Moreover, scenario analysis was applied to identify regional and subregional dynamics of land use changes. The results indicated that environmental governance affected regional and local land use dynamics and displacement processes. Distal displacement processes between soybean expansion and deforestation were significant, contributing to deforestation, but declined subsequently to the implementation of environmental policies. Likewise, deforestation at property-level declined following the policy implementations. However, the effectiveness of the zero-deforestation supply chain commitment was found to be at risk due to property-level displacement deforestation. Additionally, the scenario analysis emphasized the importance of subregional dynamics and identified risks of future deforestation. Integrating efforts between supply chain (soy and cattle) and governmental actors may be crucial to reduce deforestation in the Amazon.