Fire in highland grasslands in the Atlantic Forest Biome, a burned areas time series analysis and its correlation with the legislation
Open accessAbstract
Fire has been an intrinsic ecological component of the ecosystems, affecting the public, economic, and socio-cultural policies of human-nature interactions. Using fire over grassland vegetation is a traditional practice for livestock in the highland grasslands and has economic and environmental consequences that have not yet been understood. A better description of the spatio-temporal biomass burning patterns is needed to analyze the effects of creation and application in these areas. This study used remote sensing techniques based on Sentinel-2 data and machine learning algorithms to identify burning scars and compare them with a national fire collection database for the highland grasslands in the Atlantic Forest Biome in Brazil. The aim is to evaluate public management tools and legislation evolution during the 35 years of the time series analyzed. The results indicated that 12,285 ha of grasslands were converted to other uses, losing about 24% of their original formation, with 10% occurring after banned this practice in 2008. The burned areas classification using the Random Forest algorithm obtained an AUC = 0.9983. Divergences in the burned area’s extent and frequency were found between the municipality’s authorized license and those classified as burned. On average, only 43% of the burned area in the Parque Estadual do Tainhas and its buffer zone had an environmental permit in the last 5 years. This research’s results provide subsidies for revising and creating public policies and consequently help territorial management.
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The ash production approach reflects natural fire dynamics, in which fires consume heterogeneous patches of vegetation, and the resulting ash is derived predominantly from the dominant plant species in the burned area.
“This approach reflects natural fire dynamics, in which fires consume heterogeneous patches of vegetation [46], and the resulting ash is derived predominantly from the dominant plant species in the burned area [47].”
From Wildfire Ash Alters Freshwater Crustacean Behavior: Disentangling the Contributions of Suspended Macroparticles and Ash‐Induced Alkalinization (2026) · cites this paper as [46]
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works
Biodiversity hotspots for conservation priorities
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., & Kent, J. (2000) · Nature · doi:10.1038/35002501 · Cited by 31,710 · see citing works
Random forest classifier for remote sensing classification
Pal, M. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160412331269698 · Cited by 3,293 · see citing works
Júnior, C. M. D. S., Shimbo, J. Z., Rosa, M. R., Parente, L., Alencar, A. A. C., Rudorff, B. F. T., Hasenack, H., Matsumoto, M. H., Ferreira, L. G., Filho, P. W. M. E. S., et al. (2020) · Remote Sensing · doi:10.3390/rs12172735 · Cited by 1,732 · see citing works
The Collection 6 MODIS burned area mapping algorithm and product
Giglio, L., Boschetti, L., Roy, D., Humber, M., & Justice, C. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.08.005 · Cited by 1,083 · see citing works
Brazil's neglected biome: The South Brazilian Campos
Overbeck, G. E., Müller, S. C., Fidélis, A., Pfadenhauer, J., Pillar, V. D., Blanco, C. C., Boldrini, I. I., Both, R., & Forneck, E. D. (2007) · Perspectives in Plant Ecology Evolution and Systematics · doi:10.1016/j.ppees.2007.07.005 · Cited by 785 · see citing works
Global Trends of Forest Loss Due to Fire From 2001 to 2019
Tyukavina, A., Potapov, P. V., Hansen, M. C., Pickens, A., Stehman, S. V., Turubanova, S. A., Parker, D., Zalles, V., Lima, A. L. D., Kommareddy, I., et al. (2022) · Frontiers in Remote Sensing · doi:10.3389/frsen.2022.825190 · Cited by 429 · see citing works
Pivello, V. R., Vieira, I. C. G., Christianini, A. V., Ribeiro, D. B., Menezes, L. D. S., Berlinck, C. N., Melo, F. P. L., Marengo, J. A., Tornquist, C. G., Tomás, W. M., et al. (2021) · Perspectives in Ecology and Conservation · doi:10.1016/j.pecon.2021.06.005 · Cited by 425 · see citing works
Resilience and restoration of tropical and subtropical grasslands, savannas, and grassy woodlands
Buisson, É., Stradic, S. L., Silveira, F. A. O., Durigan, G., Overbeck, G. E., Fidélis, A., Fernandes, G. W., Bond, W. J., Hermann, J., Mahy, G., et al. (2018) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12470 · Cited by 360 · see citing works
Andrade, B. O., Koch, C., Boldrini, I. I., Vélez‐Martin, E., Hasenack, H., Hermann, J., Kollmann, J., Pillar, V. D., & Overbeck, G. E. (2015) · Natureza & Conservação · doi:10.1016/j.ncon.2015.08.002 · Cited by 210 · see citing works
Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning
Alencar, A. A. C., Arruda, V. L. D. S., da Silva, W. V., Conciani, D. E., Costa, D. P., Crusco, N., Duverger, S. G., Ferreira, N. C., Franca-Rocha, W., Hasenack, H., et al. (2022) · Remote Sensing · doi:10.3390/rs14112510 · Cited by 130 · see citing works
Dubinin, M., Potapov, P. V., Лущекина, А. А., & Radeloff, V. C. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.02.010 · Cited by 80 · see citing works
Time Series Analysis in Python with statsmodels
McKinney, W., Perktold, J., & Seabold, S. (2011) · Proceedings of the Python in Science Conferences · doi:10.25080/majora-ebaa42b7-012 · Cited by 54 · see citing works
Biodiversidade dos Campos de Cima da Serra
Bond‐Buckup, G., Buckup, L., & Dreier, C. (2008) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 46 · see citing works
Adagbasa, E. G., Adelabu, S. A., & Okello, T. W. (2020) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2020.04.006 · Cited by 34 · see citing works
Meireles, L. D., & Shepherd, G. J. (2015) · Acta Botanica Brasilica · doi:10.1590/0102-33062014abb3509 · Cited by 24 · see citing works
Fidélis, A., Rodrigues, C. A., Dairel, M., et al. (2021) · Flora · doi:10.1016/j.flora.2021.151817 · Cited by 15 · see citing works
Buffon, I., Printes, R. C., & Filho, C. D. O. A. (2018) · Revista Eletrônica Científica da UERGS · doi:10.21674/2448-0479.43.447-469 · Cited by 5 · see citing works
Sensoriamento Remoto Aplicado à Análise de Fogo em Formações Campestres: Uma Re-visão Sistemática
Herrmann, P. B., Nascimento, V. F., & de Freitas, M. W. D. (2022) · Revista Brasileira de Cartografia · doi:10.14393/rbcv74n2-63739 · Cited by 4 · see citing works
Self-citationda Silva, D. S., & Filho, C. D. O. A. (2021) · Revista Brasileira de Meio Ambiente · doi:10.66205/rvbma.v9i1.668 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Boziki, D., Beroldt S, L., and Printes, C., R. (2011). Situação atual da utilização de agrotóxicos e destinação de embalagens na área de Proteção Ambiental Estadual Rota Sol, Rio Grande De Sul Brasil. Rev. Vitas -Visões 1 (31), 1-35.
- Carvalho, E. D., and Andrades-Filho, C. D O. (2019). Análise Espaço-Temporal do uso e cobertura do solo em São Francisco De Paula, RS/Brasil, Mudanças nos sistemas agrícolas e territórios no Brasil. Porto Alegre, Brasil: Planalto Gov. doi:10.21674/9788560231.118-145 · DOI
- Goehry, B. (2021). Random forests for time series.HAL archives-ouvertes. Available at: https://hal.archives-ouvertes.fr/hal-03129751.
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Kirsch, G., Araujo, R. M. G., Melo, M. S., Nazari, E. M., & Figueiredo, B. R. S. (2025) · Chemosphere · doi:10.1016/j.chemosphere.2025.144756 · Cited by 4 · see citing works
Pereira‐Silva, P. B., Pacheco, D. R., Kirsch, G., Araujo, R. M. G., Oscar, B. V. C., Matias, W. G., Santos, S., & Figueiredo, B. R. S. (2026) · Environmental Toxicology · doi:10.1002/tox.70178
- Authors
- Herrmann, P. B., Nascimento, V. F., Freitas, M. W. D. D., & Ometto, J. P.
- Affiliations
- Universidade Federal do Rio Grande do Sul (BR)
- Instituto Nacional de Pesquisas Espaciais (BR)
- Venue
- Frontiers in Remote Sensing
- Publisher
- Frontiers Media SA
- Published
- 2023-05-16
- Volume
- 4
- ISSN
- 2673-6187 (ISSN-L)
- OpenAlex
- W4376645859
- Cited by
- 6
- References
- 20
- Citations by year
- 2026: 3 · 2025: 2 · 2023: 1
- FWCI
- 0.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Remote Sensing (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
- Funders
- Universidade Federal do ABC
- Fundação de Amparo à Pesquisa do Estado de São Paulo (17/22269-2)
- Universidade Federal do Rio Grande do Sul
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Fire Detection and Safety Systems
- Keywords
- fire, highland grasslands, Atlantic Forest biome, burned area mapping, fire safety legislation, grassland conversion, environmental permits, Sentinel-2, fire policy, territorial management
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