ASSESSING THE DYNAMICS OF WOODY VEGETATION IN THE ABOBRAL REGION, SOUTHERN PANTANAL WETLAND (BRAZIL): CONTRIBUTIONS OF FUNCTIONAL INDICES DERIVED FROM SATELLITE IMAGE TIME SERIES

Autores

DOI:

https://doi.org/10.5380/raega.v63i2.99925

Resumo

The Pantanal biome is a heterogeneous and dynamic ecosystem in central South America, exhibiting complex relationships with climatic and geomorphological factors. This study investigates the spatiotemporal variability of woody vegetation dynamics in the Pantanal do Abobral, a subregion of the Pantanal. We analyzed: (1) Land cover changes (2015–2023) using annual maps from the Brazilian Annual Land Use and Land Cover Mapping Project (MAPBIOMAS); Normalized Difference Vegetation Index (NDVI) from the Harmonized Landsat Sentinel-2 (HLS) product and precipitation from the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) to identify spatial patterns in vegetation-precipitation relationships via Pearson correlation; and Functional indices derived from NDVI time series. Although woody cover remained stable (~16.75% from 2015–2023), we observed a 19.85% loss in savanna areas relative to 2015, compensated by a 21.81% transition from non-woody to savanna areas. Even within the same land cover class, distinct vegetation types showed differential responses to local precipitation regimes. Functional indices corroborated this heterogeneity, revealing spatial patterns in plant functional groups. Our findings underscore the importance of vegetation functional trait mapping for climate change mitigation and adaptation planning in this ecosystem.

Biografia do Autor

Mauro Henrique Soares da Silva, Universidade Federal de Mato Grosso do Sul

Holds a degree in Geography (Licentiate and/or Bachelor’s) from the Federal University of Mato Grosso do Sul (2004), a Master’s degree in Geography from the Federal University of Mato Grosso do Sul (2007), and a Ph.D. from the Graduate Program in Geography at São Paulo State University (UNESP), Presidente Prudente Campus (2012), with a doctoral internship at the University of Coimbra (Coimbra, Portugal – 2011) and a postdoctoral fellowship at the University of Rennes 2 (Rennes, France – 2021).

He was an adjunct professor at the Federal University of Mato Grosso do Sul and a basic education teacher in the state public school system of Mato Grosso do Sul (2005–2008). He also served as a professor in the Master’s and Doctoral Program in Environment and Regional Development at Anhanguera-UNIDERP University in Campo Grande, MS, where he coordinated the Geoprocessing Laboratory (2013–2016).

Since 2016, he has been an Associate Professor in the Geography program at the Federal University of Mato Grosso do Sul, Três Lagoas Campus, where he also works as a researcher and advisor in the Graduate Program in Geography (Master’s and Doctoral levels) and as a tutor for the PET Geography Group. He is also a member of the Evaluator Pool of the National Higher Education Assessment System (BASis) at the National Institute for Educational Studies and Research Anísio Teixeira (INEP - Ministry of Education).

His experience includes Integrated Landscape Analysis, Biogeography, Climatology, and Health Geography.

Samuel Corgne, Université Rennes 2

Samuel Corgne holds a Ph.D. in Geography from University Rennes 2 / Télécom Brest (2004). He has been an Associate Professor at University Rennes 2 since 2005, working in the Department of Geography and is a member of the UMR LETG CNRS. Between 2007 and 2008, he was a visiting researcher at the CARTEL laboratory of the University of Sherbrooke (Canada), linked to the scientific project of the Canadian Space Agency (*RADARSAT-1 Data For Research Use - DRU*), which investigated desertification signals through radar remote sensing in West Africa.

Since 2016, he has been a University Professor and served as director of the LETG-Rennes laboratory from 2016 to 2023. He also coordinated a Master’s program in partnership with the Agronomic Institute of Rennes, focused on Remote Sensing applied to environmental issues. His research focuses on monitoring land cover and land use through satellite imagery, with involvement in international projects on tropical agroecosystems with high environmental impact (India, Brazil, Indonesia).

Damien Arvor, Centre National de la Recherche Scientifique

Researcher at CNRS in Geography at the Mixed Research Unit LETG (Rennes) since 2014. I hold a Ph.D. from University Rennes 2 (2009) and obtained my Habilitation to Supervise Research (HDR) at the same university in 2022. My work focuses on monitoring land occupation and land use dynamics through remote sensing, aiming to understand their driving factors and consequences, particularly in the context of global change. I apply my research to the study of tropical agricultural frontiers, especially in the Brazilian Amazon, where I map agricultural expansion and intensification as well as the preservation status of forest ecosystems using satellite image time series. Additionally, I am interested in innovative remote sensing methods based on integrating expert knowledge into the image interpretation process through ontologies.

Downloads

Publicado

2025-08-20

Como Citar

Ribeiro, U., Silva, M. H. S. da, Corgne, S., & Arvor, D. (2025). ASSESSING THE DYNAMICS OF WOODY VEGETATION IN THE ABOBRAL REGION, SOUTHERN PANTANAL WETLAND (BRAZIL): CONTRIBUTIONS OF FUNCTIONAL INDICES DERIVED FROM SATELLITE IMAGE TIME SERIES. Ra’e Ga: O Espaço Geográfico Em Análise, 63(2), 155–175. https://doi.org/10.5380/raega.v63i2.99925

Edição

v. 63 n. 2 (2025): VIII - Geopantanal

Seção

Artigos

Licença

Declaro que o ARTIGO submetido é INÉDITO, ORIGINAL e de MINHA RESPONSABILIDADE. Declaro que o artigo não foi submetido ou está em avaliação em outra revista/periódico.

Estou ciente dos itens presentes na LEI Nº 9.610/98 (DIREITOS AUTORAIS) e me responsabilizo por quaisquer problemas relacionados a PLÁGIO.

Estou ciente de que o artigo submetido poderá ser removido da Revista, caso se observe A QUALQUER TEMPO que ele se encontra publicado integralmente ou em parte em outro PERIÓDICO científico. 

Declaro, COMO PRIMEIRO AUTOR, que os demais autores do trabalho estão cientes desta submissão e de que NÃO receberão qualquer tipo de remuneração pela divulgação do trabalho. 

Como primeiro autor, autorizo, de antemão, a RA’E GA - O Espaço Geográfico em Análise(ISSN 2177-2738), a publicar o artigo, caso aceito.