Landscape changes in avulsive river systems: Case study of Taquari River on Brazilian Pantanal wetlands

Louzada, Rômullo Oliveira; Bergier, Ivan; Assine, Mário Luís

doi:10.1016/j.scitotenv.2020.138067

Cited by 19 publications

(13 citation statements)

References 63 publications

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“…The Taquari megafan presented areas with high flooding frequency. The area is characterized by the presence of a complex network of distributary channels and paleochannels divided and were created by many avulsion events (Assine, 2005;Buehler et al, 2011;Louzada et al, 2020). In the southern portion, a multitemporal analysis of Landsat imagery (2000-2011 period) revealed a permanently flooded area in the central portion of the Negro River interfan plain, resulting in a hidden fluvial lake undetected due to the accumulation of floating mats and floating meadows of macrophytes (Merino and Assine, 2020).…”

Section: Geology and Geomorphology Aspects Acting As Drivers Of Flooded Areas In The Pantanalmentioning

confidence: 99%

Rainfall patterns and geomorphological controls driving inundation frequency in tropical wetlands: How does the Pantanal flood?

Pereira

Ramos

Rocha

et al. 2021

Progress in Physical Geography: Earth and Environment

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The Pantanal is one of the world’s largest freshwater wetlands. The spatial and temporal variability of flooded areas is a key factor for preserving and managing the flora and fauna of this biodiversity hotspot, and thus, its dynamic is crucial to maintain ecosystem services. However, existing inventories of flooded areas with high spatial resolution are scarce or do not represent a continuous time series considering the entire Pantanal wetland. In this study, flooded areas were derived from Landsat and Resourcesat satellite imagery time series for the years 2000 to 2020 through big data analytical tools. Our results show that permanently flooded areas accounted for 3.40% of the total Pantanal wetland and 8.85% of the study area was flooded during only one year, indicating a complex and dynamic fluvial system. In addition, approximately 39% of the basin was composed of non-flooded areas. During the analyzed period (2000–2020), the highest flood event occurred in 2011 covering an area of 57,969 km2, followed by 2014, with 52,500 km2 (respectively 38.55% and 34.91% of the total area of the Pantanal). The year with the smallest flooded area was 2020 (10,668 km2), 83% lower when compared to the period-based average. The Pantanal is a seasonal wetland, thus, rainfall plays a significant role in the flood pulse, accounting for approximately 60% of the total variability of the flooded areas. The flood dynamics is also affected by the morphology of the modern depositional system of the Pantanal, which is composed by large megafans created by several distributive rivers, and by neotectonics that generates differential movements of blocks creating lower areas that will determine how flood pulse moves spatially and temporally. Therefore, the understanding and analysis of this dynamism becomes an indispensable tool for the public government ordering defining policies for the occupation and the economic zoning of the Pantanal.

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Section: Geology and Geomorphology Aspects Acting As Drivers Of Flooded Areas In The Pantanalmentioning

confidence: 99%

Rainfall patterns and geomorphological controls driving inundation frequency in tropical wetlands: How does the Pantanal flood?

Pereira

Ramos

Rocha

et al. 2021

Progress in Physical Geography: Earth and Environment

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“…The high species diversity of the Pantanal results from its morphogeological and phytophysiognomic diversity (Junk et al, 2006(Junk et al, , 2013Alho et al, 2019;Louzada et al, 2020). In fact, some researchers have proposed that the Pantanal is not a biome, but a mosaic of phytophysiognomies (Demétrio et al, 2017;Boin et al, 2019) that differ according to their degree of similarity between the Cerrado and the Chaco in the South, and the Cerrado and the Amazon in the North (Junk et al, 2006), forming different wetlands.…”

Section: Introductionmentioning

confidence: 99%

Species list of ground-dwelling ants (Hymenoptera: Formicidae) in the Nhecolândia, Pantanal, Mato Grosso do Sul, Brazil

et al. 2021

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This study provides a list of the ground-dwelling ant species in Nhecolândia, Pantanal, Mato Grosso Sul, Brazil. The Pantanal is the largest tropical wetland in the world and is currently under strong anthropic pressure. Ground-dwelling ants were collected in three sites: (1) a forest regeneration area; (2) a pasture area; and (3) an area of secondary native vegetation. In each site, 120 samples were collected using pitfall traps in the dry and rainy seasons of 2016. Additional samplings were performed with Winkler extractors (30 leaf-litter samples) and manually, also in dry and rainy seasons of 2016. In total, we collected 172 species, which, summed with the additional records from literature, raise the number of ant species recorded in Nhecolândia to 184 in 42 genera and nine subfamilies. Eleven species were recorded for the first time in the state of Mato Grosso do Sul. Also, the survey adds two new species records to Brazil. Besides contributing to the inventory of the ant species present in the Pantanal biome, the present study provides an important resource for future conservation plans for this threatened ecoregion.

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“…Considered a national heritage site and a biosphere reserve, the Pantanal is the largest floodplain on the planet and is home to an invaluable ecosystem. Located in the center of South America (SA), the Pantanal is included in the continuous floodplain of the Upper Paraguay basin, which occupies 361,666 km 2 , where highly diverse flora and fauna are sustained by seasonal floods (Louzada, Bergier, & Assine, 2020). Its territory has approximately 160,000 km 2 divided between Paraguay, Bolivia and Brazil (Silva & Abdon, 1998;Junk & Cunha, 2005;Teodoro et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The impacts of climate change on rainfall modeling in the Pantanal of Mato Grosso do Sul

Pobocikova

Souza²,

Abreu

et al. 2021

Acta Sci Technol

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The most significant and influential meteorological element in environmental conditions and human activities is precipitation. The objective of this study was to adjust eight probability distributions to monthly, seasonal and annual rainfall data in the Pantanal of Mato Grosso do Sul, Brazil, using a time series of data (1983-2013) by the National Meteorological Water Agency (ANA). The performance evaluation of different probability distribution models was assessed by the quality of fit of the selected probability distributions for precipitation data. Quality tests as chi-square, Kolmogorov-Smirnov (KS) and Anderson-Darling (AD), the information criteria as Akaike (AIC) and the Bayesian criterion (BIC) were used. Then the mean root square error (RMSE) and the coefficient of determination (R2) were applied. The analyzes were made monthly, annually and by seasons. The 3-parameter Lognormal distribution performs the best for all twelve months and provides the best-fit to the monthly rainfall data. Thus characterizing a dry period that runs from May to September and a rainy period between the months of October and April, it was observed that the 3-parameter Lognormal distribution has best adjustment for spring and summer, and for winter and autumn the 2-parameter Gamma and 3-parameter Gamma distribution performed better. For annual observations, the function that best fits is 3-parameter Weibull distribution.

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Landscape changes in avulsive river systems: Case study of Taquari River on Brazilian Pantanal wetlands

Cited by 19 publications

References 63 publications

Rainfall patterns and geomorphological controls driving inundation frequency in tropical wetlands: How does the Pantanal flood?

Rainfall patterns and geomorphological controls driving inundation frequency in tropical wetlands: How does the Pantanal flood?

Species list of ground-dwelling ants (Hymenoptera: Formicidae) in the Nhecolândia, Pantanal, Mato Grosso do Sul, Brazil

The impacts of climate change on rainfall modeling in the Pantanal of Mato Grosso do Sul

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