bioRxiv Science⌕ Search

Biology subjects

Ferreira, L. G.

Publications and source records attributed to Ferreira, L. G..

2 recordsLinked to original sources

Coordinated governance redirects agricultural expansion away from native vegetation in Brazil

Tropical agricultural frontiers continue to drive native vegetation loss while supplying global commodity demand; yet it remains unclear how alternative governance pathways reshape where expansion occurs across interconnected biomes. Here, we use a spatially explicit land-use model to evaluate how contrasting governance regimes, with and without moderate livestock intensification, affect land-use futures across the Brazilian Amazon, Cerrado, and Pantanal through 2030. We compare Governance Inertia, Collaborative Governance, and Integrated Governance to assess their effects on native vegetation conversion, the land-use origins of soybean expansion, and landscape structure. Under scenarios in which conversion from native vegetation is explicitly constrained, projected soybean expansion remains nearly constant ([~]6.2 Mha) but is redirected away from native vegetation and toward already converted lands. Relative to Governance Inertia, constrained-governance scenarios avoid approximately 13.5 Mha of native vegetation loss and require an estimated 13.9% increase in livestock occupation rate to maintain production with a smaller pasture footprint. These shifts are also associated with modest but consistent improvements in vegetation continuity and reduced fragmentation. Our findings show that the effectiveness of zero-deforestation trajectories depends not only on limiting expansion, but on governing where land-use demand is absorbed across tropical frontier systems.

ecology↗

Modeling Mayaro and Chikungunya Control Strategies in Rio de Janeiro Outbreaks

Mosquito-borne diseases have become a significant health issue in many regions around the world. For tropical countries, diseases such as Dengue, Zika, and Chikungunya, became epidemic in the last decades. Health surveillance reports during this period were crucial in providing scientific-based information to guide decision making and resources allocation to control outbreaks. In this work, we perform data analysis of last Chikungunya epidemics in the city of Rio de Janeiro by applying a compartmental mathematical model. We estimate the \"basic reproduction number\" for those outbreaks and predict the potential epidemic outbreak of Mayaro virus. We also simulated several scenarios with different public interventions to decrease the number of infected people. Such scenarios should provide insights about possible strategies to control future outbreaks.

biophysics↗