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

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.

Institutions

Publication Details

Journal
Raega - O Espaço Geográfico em Análise
Published
2025-08-20
DOI
https://doi.org/10.5380/raega.v63i2.99925
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Raega - O Espaço Geográfico em Análise
Genetic Mapping and Diversity in Plants and Animals
article

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

article en

Abstract

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.

Raega - O Espaço Geográfico em AnáliseVol. 63(2)
Universidade Federal de Mato Grosso do Sul (BR), Centre National de la Recherche Scientifique (FR), Université Rennes 2 (FR), Littoral, Environnement, Télédétection, Géomatique (FR)
Agence Nationale de la Recherche, Centre National d’Etudes Spatiales, Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul, Région Bretagne
Climate action
Openalex Percentile: Top 38%
Genetic Mapping and Diversity in Plants and Animals
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.