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Disturbance and incomplete recovery in the Cerrado-Amazon transition: Implications for conservation of a critical tropical ecotone

Disturbance and incomplete recovery in the Cerrado-Amazon transition: Implications for conservation of a critical tropical ecotone

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.biocon.2026.111900. This is version 2 of this Preprint.

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Authors

Chuanze Li, Angela Harris, Beatriz Schwantes Marimon, Ben Hur Marimon Junior, Matthew Dennis, Ricardo Dalagnol, Polyanna da Conceição Bispo

Abstract

The Cerrado-Amazon Transition (CAT) is the world's largest tropical forest–savanna ecotone and a key component of Brazil's “Arc of Deforestation”. It harbours high biodiversity but remains weakly protected and increasingly exposed to agricultural expansion, deforestation, and fire. Using Landsat time series (1986–2020), we developed a disturbance–recovery framework to track how repeated and interacting disturbances reshape vegetation dynamics across the CAT. By combining LandTrendr to reconstruct disturbance histories, a residual neural network to distinguish disturbance pathways, and NBR-based proxy indicators to quantify disturbance-related spectral losses and post-disturbance trajectories, the framework captures both compound disturbance patterns and signals of resilience erosion. We identified four major disturbance trajectories associated with clear-cutting and fire. Over the past 35 years, approximately 493,000 km2 of the CAT experienced at least one disturbance event, with clear-cutting dominating in Amazon forest and recurrent fire affecting both Amazon forest and Cerrado vegetation. Disturbance hotspots were concentrated near farming and ranching landscapes, while large areas of repeatedly disturbed vegetation remained outside the current protected-area network. Most fire-affected trajectories in both Amazon forest and Cerrado did not fully recover within 10 years, indicating persistent post-disturbance spectral legacies; although proxy indicator captures spectral recovery rather than all dimensions of ecosystem recovery, this pattern is consistent with widespread erosion of vegetation resilience under repeated disturbance pressure. By identifying hotspots of recurrent disturbance and incomplete recovery, and revealing major protection gaps, this study provides a practical basis for conservation planning, enforcement, and restoration across high-pressure frontier landscapes.

DOI

https://doi.org/10.31223/X5HT8C

Subjects

Geography, Remote Sensing, Social and Behavioral Sciences

Keywords

Cerrado–Amazon Transition (CAT), Landsat time series, LandTrendr, Residual Neural Network, Vegetation disturbance, Cleat-cutting and fire, Vegetation recovery

Dates

Published: 2025-10-20 16:46

Last Updated: 2026-05-15 08:43

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability:
The data supporting this study are not publicly available at this stage because the manuscript is under review at Remote Sensing of Environment. Data will be shared upon acceptance or in accordance with journal requirements.

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