henhaobio
Sign in

bioRxivEcologyPreprint

Coordinated governance redirects agricultural expansion away from native vegetation in Brazil

Mario Barroso Ramos NetoiD, Alessandra BertassoniiD, Marisa de Oliveira NovaesiD, Giovanni Mateus MallmanniD, Arley Haley FariaiD, Rafaela AlbuquerqueiD, Guilherme Ramos VaziD, Laerte Guimarães FerreiraiD

PDFDOI
Citations
0

Abstract

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.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGöpel '19Twining '26Bezerra '21Fonzaghi '26Rosa '19Durán '18
70% semantic matchEcology
J. Göpel, J. Schüngel, R. Schaldach+2 more·bioRxiv·Nov 18, 2019