Tracing sediment sources in two paired agricultural catchments with different riparian forest and wetland proportion in southern Brazil

Tiecher, Tales; Caner, Laurent; Minella, Jean Paolo Gomes; Pellegrini, André; Capoane, Viviane; Rasche, Jimmy Walter Alvarez; Schaefer, Gilmar Luiz; Rheinheimer, Danilo dos Santos

doi:10.1016/j.geoderma.2016.10.008

Cited by 24 publications

(16 citation statements)

References 45 publications

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“…In addition to modeling and monitoring studies, the sediment fingerprinting technique was shown to provide a powerful tool to identify sediment sources in Brazil (Miguel, Dalmolin, Pedron, Moura‐Bueno, & Tiecher, ; Minella, Merten, Reichert, & dos Santos, ; Minella, Merten, Walling, & Reichert, ; Minella, Walling, & Merten, , ; Tiecher et al, ; Tiecher, Caner, et al, ; Tiecher, Caner, Minella, & dos Santos, ; Tiecher, Caner, Minella, Bender, & dos Santos, ; Tiecher, Minella, et al, ) and elsewhere in the world, such as in France (Foucher et al, ; Legout et al, ; Navratil, Evrard, Esteves, Legout, et al, ; Poulenard et al, ), Mexico (Evrard et al, ), South Africa (Foster, Boardman, & Keay‐Bright, ), Zambia (Walling, Collins, Sichingabula, & GJL, ), Canada (Barthod et al, ; Koiter et al, ; Stone, Collins, Silins, Emelko, & Zhang, ), United States (Devereux, Prestegaard, Needelman, & Gellis, ), United Kingdom (Collins, Walling, Webb, & King, ; Pulley, Foster, & Antunes, ; Smith & Blake, ), Spain (Brosinsky, Foerster, Segl, & Kaufmann, ), Luxemburg (Martínez‐Carreras et al, ), Turkey (D'Haen et al, ), Tunisia (Ben Slimane et al, ), Iran (Haddadchi, Nosrati, & Ahmadi, ), and Australia (Laceby, McMahon, Evrard, & Olley, ; Olley, Burton, Smolders, Pantus, & Pietsch, ; Wilkinson, Hancock, Bartley, Hawdon, & Keen, ). Therefore, the objective of the current study is to quantify the contribution of sources supplying sediment to the river in a catchment characterized by the widespread implementation of NT since the 1990s in Southern Brazil.…”

Section: Introductionmentioning

confidence: 99%

Fingerprinting sediment sources in a large agricultural catchment under no‐tillage in Southern Brazil (Conceição River)

et al. 2018

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Brazil is a leader in the adoption of conservation agriculture practices and technologies. However, the impact of these practices on sediment sources at the catchment scale has not been quantified yet, particularly in grain growing regions, where a conservationist no‐tillage system is implemented to protect soils. To address this knowledge gap, a sediment fingerprinting study based on elemental geochemistry was carried out in a large agricultural catchment (804 km2) of Southern Brazil where no‐tillage practices dominate. A total of 156 soil samples were taken to characterize the three main potential sediment sources: cropland (n = 79), unpaved roads (n = 41), and channel banks (n = 36). Sediment sampling was performed using a time‐integrated sampler (n = 33) and by collecting fine‐bed material (n = 34) at five locations across the catchment. Sediment was also sampled during flood events at the catchment outlet (n = 20). Sediment source contributions were calculated using an optimal suite of geochemical properties and a mixing model. Results showed that although the catchment is not particularly sensitive to soil erosion (i.e., deep clayey soils with gentle slopes), the amount of sediment supplied by cropland to the river network remains very high (up to 1.63 Mg·ha−1·year−1). Sediment fingerprinting results showed that even when no‐tillage is implemented, cropland remains an important source of sediment, supplying up to 70% of the material transiting the Conceição River. Accordingly, the current conservation farming system in this catchment needs to be improved to further reduce soil erosion and sediment yield.

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Section: Introductionmentioning

confidence: 99%

Fingerprinting sediment sources in a large agricultural catchment under no‐tillage in Southern Brazil (Conceição River)

et al. 2018

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“…Environments structurally complex trend to be easily suppressed by anthropic activities that affect the dynamics of the inputting sediments into the water bodies (Zeni & Casatti, 2014), mainly in sandy soils, such the VRB (Melo et al, 2011). Those characteristics favour the destabilisation and erosion of the soils and riverbanks, promoting the movement of sediments and the riverbed silting (CCME, 2002;Chapman et al, 2014;Tiecher et al, 2017). In the reach between sites 2 and 3, the urban zoning on both riverbanks replaced the original riparian vegetation by grasses and built harmful pluvial drainages.…”

Section: Discussionmentioning

confidence: 99%

“…In riverine systems, the integrity of the riparian vegetation and soils of the surrounding landscape influence the habitat complexity (Allan & Castillo, 2007). The riparian vegetation reduces the movement of sediments into the water bodies (Tiecher et al, 2017) and supplies for the aquatic environments with structural elements such as branches, trunks, roots, organic matter and nutrients (Allan & Castillo, 2007;Pusey & Arthington, 2003). Those elements increase the diversity and availability of ecological niches, supporting complex periphyton (Baattrup-Pedersen & Riis, 1999), macroinvertebrates (Cobb, Galloway, & Flannagan, 1992) and fish communities (Casatti et al, 2012;Ribeiro, Teresa, & Casatti, 2016 and benthonic macroinvertebrates (Braga, Gomiero, & Souza, 2008;Rondineli, Carmassi, & Braga, 2009;Sazima, 1980;Villares-Junior, Cardone, & Goitein, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Those anthropic activities promote structural changes in the lotic systems due to the suppression of the native vegetation (Pusey & Arthington, 2003), siltation on the riverbed (Chapman et al, 2014;Tiecher et al, 2017), habitat homogenisation (Zeni & Casatti, 2014) and changes in the matter and energy flows (Barbosa, Padisák, Espíndola, Borics, & Rocha, 1999). In addition, effluent influxes from those activities alter the water quality, promoting the aquatic eutrophication (Elser et al, 2007) and exposing the biota to several kinds of contaminants (Ricciardi et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…(b) Extrapolated rarefaction curves limited up double of the sampling size observed in the site with the lowest coverage estimator (site 4, n obs = 82; n ext = 164; SC ext = 97.52%). The riparian vegetation reduces the movement of sediments into the water bodies(Tiecher et al, 2017) and supplies for the aquatic environments with structural elements such as branches, trunks, roots, organic matter and nutrients(Allan & Castillo, 2007;Pusey & Arthington, 2003). Those impacts have exposed the aquatic biota of the UPRE to a high ecological risk associated with the metal pollution(Silva, Silveira, & Campos, 2017).…”

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Fish community response to environmental variations in an impacted Neotropical basin

Silveira

Ballester

Costa

et al. 2018

Ecology of Freshwater Fish

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Fish communities' organisation is a challenging task due to global, local and temporal variations related to biotic and abiotic factors, highlighting anthropic activities. The Verde River Basin (VRB) was chosen as a model to the fish community study due to its complexity, presenting a longitudinal gradient of degradation. The ichthyofauna and abiotic factors were sampled during twelve months in four sites. Analyses employed rarefaction curves with Hill numbers estimators and canonical correspondence analysis. The endemic Apareiodon sp. (not described), Hypostomus albopunctatus, H. strigaticeps, Oligosarcus paranensis, Neoplecostomus yapo and Trichomycterus diabolus were associated with structurally complex and well-preserved environments. In contrary, Astyanax aff. fasciatus, Corydoras ehrhardti, Geophagus brasiliensis, H. ancistroides and Phalloceros harpagos showed tolerance to impacted environments. The methods here employed allowed to identify and explain differences in the ichthyofauna structure, distinguishing the influence of spatial, temporal and human effects on the fish communities. K E Y W O R D Sabundance, anthropic impacts, diversity, entropy, lotic system | 1127 SILVEIRA Et AL.

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Quantification of sediment source contributions in two paired catchments of the Brazilian Pampa using conventional and alternative fingerprinting approaches

Valente¹,

Reichert

Legoût

et al. 2020

Hydrological Processes

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The knowledge of the contribution of sediment sources to river networks is a prerequisite to understand the impact of land use change on sediment yield. We calculated the relative contributions of sediment sources in two paired catchments, one with commercial eucalyptus plantations (0.83 km2) and the other with grassland used for livestock farming (1.10 km2), located in the Brazilian Pampa biome, using different combinations of conventional [geochemical (G), radionuclide (R) and stable isotopes and organic matter properties (S)] and alternative tracer properties [spectrocolorimetric visible‐based‐colour parameters (V)]. Potential sediment sources evaluated were stream channel, natural grassland and oat pasture fields in the grassland catchment, and stream channel, unpaved roads and eucalyptus plantation in the eucalyptus catchment. The results show that the best combination of tracers to discriminate the potential sources was using GSRV tracers in the grassland catchment, and using GSRV, GSV and GS tracers in the eucalyptus catchment. In all these cases, samples were 100% correctly classified in their respective groups. Considering the best tracers results (GSRV) in both catchments, the sediment source contributions estimated in the catchment with eucalyptus plantations was 63, 30 and 7% for stream channel, eucalyptus stands and unpaved roads, respectively. In the grassland catchment, the source contributions to sediment were 84, 14 and 2% for natural grassland, stream channel and oats pasture fields, respectively. The combination of these source apportionment results with the annual sediment loads monitored during a 3‐year period demonstrates that commercial eucalyptus plantations supplied approximately 10 times less sediment (0.1 ton ha−1 year−1) than the traditional land uses in this region, that is, 1.0 ton ha−1 year−1 from grassland and 0.3 ton ha−1 year−1 from oats pasture fields. These results demonstrate the potential of combining conventional and alternative approaches to trace sediment sources originating from different land uses in this region. Furthermore, they show that well‐managed forest plantations may be less sensitive to erosion than grassland used for intensive livestock farming, which should be taken into account to promote the sustainable use of land in this region of South America.

show abstract

Tracing sediment sources in two paired agricultural catchments with different riparian forest and wetland proportion in southern Brazil

Cited by 24 publications

References 45 publications

Fingerprinting sediment sources in a large agricultural catchment under no‐tillage in Southern Brazil (Conceição River)

Fingerprinting sediment sources in a large agricultural catchment under no‐tillage in Southern Brazil (Conceição River)

Fish community response to environmental variations in an impacted Neotropical basin

Quantification of sediment source contributions in two paired catchments of the Brazilian Pampa using conventional and alternative fingerprinting approaches

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