Abstract
This study investigated the hydrochemistry of three oxbow lakes and the Chandless River, within Chandless State Park (Acre, Brazil), during the dry season (June-July 2021). We tested whether oxbow lakes had lower nutrient concentrations than the river. Water samples were analyzed for cations and anions, alongside in situ measurements of pH, temperature, conductivity, and dissolved oxygen. Results showed higher pH, conductivity, and oxygen in the river, while lakes were more acidic with lower values. Contrary to the hypothesis, nutrient concentrations showed contrasting patterns among environments: Ca²⁺, Na⁺, and Mg²⁺ were higher in the river and Lake São João II, while SO₄²⁻ and NO₂⁻ dominated in Lakes Buião and São João I. The findings highlight distinct ionic profiles and the ecological uniqueness of each system-critical for managing the park's environmental diversity.
Keywords:
aquatic ecosystems; floodplains; hydrochemistry; limnology
Resumo
O estudo investigou a hidroquímica de três lagos em ferradura e do Rio Chandless no Parque Estadual Chandless (Acre, Brasil) durante a estação seca (junho-julho de 2021). Testamos a hipótese de menores concentrações de nutrientes nos lagos. Amostras de água foram analisadas para cátions e ânions, além de medições in situ de pH, temperatura, condutividade e oxigênio dissolvido. O rio apresentou maiores valores de pH, condutividade e oxigênio. Contrariando a hipótese, as concentrações de nutrientes variaram. Ca2+, Na+ e Mg2+ foram superiores no rio e no Lago São João II. SO4 2- e NO2 - dominaram nos lagos Buião e São João I. Os resultados destacam perfis iônicos distintos e a singularidade ecológica de cada sistema.
Palavras-chave:
ecossistemas aquáticos; hidroquímica; limnologia; planícies aluviais
1. INTRODUCTION
The Amazon Basin harbors exceptional biological diversity and provides crucial ecosystem services. Its aquatic systems range from small streams to large rivers bordered by floodplains that connect rivers, lakes, and forests, forming highly heterogeneous and ecologically dynamic landscapes (Melack and Coe, 2021). The hydrochemistry of Amazonian rivers reflects the geological and geomorphological features of their sub-basins, primarily influenced by the weathering of Andean-derived minerals (Moquet et al., 2011). These physicochemical patterns are key to understanding biogeochemical cycles and guiding conservation efforts (Quesada et al., 2010; Newman et al., 2016).
During the dry season, groundwater influence increases, while the rainy season enhances inputs of organic matter and sediments, altering river water composition (Markewitz et al., 2004; Ríos-Villamizar et al., 2017). Numerous studies have examined nutrient concentrations in various Amazonian aquatic systems using comparable sampling and analytical methodologies (Sousa, 2013; Li et al., 2018; Drake et al., 2021).
The Purus River and its tributaries, such as the Chandless River, are nutrient-rich, especially during the dry season, and feature a high density of oxbow lakes formed by river meandering and sediment dynamics (Ahmed et al., 2019). These lakes connect to the main river channel during floods and become isolated in the dry season, which affects their limnological characteristics and associated biodiversity (Junk et al., 2012; Güntzel et al., 2020).
Given this context, the present study aimed to characterize the hydrochemistry of oxbow lakes and the main channel of the Chandless River, within the Chandless State Park (Acre, Brazil), during the dry season. We analyzed the concentrations of major cations and anions and key physicochemical parameters, testing the hypothesis that oxbow lakes in the southwestern Amazon develop hydrochemical profiles that diverge from those of the main river channel during the dry season. The absence of fluvial connectivity and the biomass of aquatic macrophytes generate distinct ionic signatures within each lentic system.
2. MATERIAL AND METHODS
2.1. Study Area
This study was conducted in three oxbow lakes formed by the Chandless River, located in the municipality of Manoel Urbano, Acre, within the geographic boundaries of the Chandless State Park (PEC). The PEC is a Strict Protection Conservation Unit, established by Decree No. 10,670 of September 2, 2004. It covers an area of 695,303 ha, spanning the municipalities of Sena Madureira and Santa Rosa do Purus (Acre, 2010) (Figure 1).
The park represents 4.23% of Acre's territory, distributed among the municipalities of Santa Rosa do Purus (161,630 ha - 24.12%), Manoel Urbano (445,208 ha - 66.44%), and Sena Madureira (63,296 ha - 9.45%) (Acre, 2010). Its boundaries begin at the international border between Brazil and Peru, near the headwaters of the Santa Rosa River, and extend to the municipalities of Feijó and Manoel Urbano.
The PEC is situated in one of the least-studied regions of the state in terms of biological richness: the Upper Purus region, encompassing the basins of the Purus and Chandless Rivers. Its borders are defined by the Alto Rio Purus Indigenous Land (north), Mamoadate Indigenous Land (south), the Republic of Peru and neighboring protected areas Alto Purus National Park and Purus Communal Reserve (west), and the Cazumbá-Iracema Extractive Reserve (east).
The park’s vegetation comprises a mosaic of forest types, including open ombrophilous forest without bamboo, open forest dominated by bamboo, forest with a mixture of bamboo and palms, and forest with palms and sparse bamboo. These areas are at different successional stages due to the death cycle of bamboo stands (Acre, 2010). The open forests with bamboo of the genus Guadua, locally known as tabocais, are rare in the Amazon but widespread in the southwestern portion of the basin (Nelson and Bianchini, 2005). The PEC is located at the core distribution area of Guadua spp. in the Amazon (McMichael et al., 2014).
Map showing the location of Chandless State Park and the Chandless River, as well as the sampled lakes.
The study area encompasses the lower reach of the Chandless River, characterized by a meandering channel and active floodplains. The regional relief is marked by low elevations and extensive planated surfaces. Sampling was conducted in sectors directly influenced by erosional and depositional processes typical of the southwestern Amazon. The Chandless River is part of the Purus River Basin, a transboundary basin spanning the states of Amazonas and Acre, as well as parts of Peru and Bolivia. Its drainage area within Acre covers approximately 19,686 km² (Acre, 2017). The Purus basin experiences a seasonal rainfall regime, with a rainy season from November to March, a dry season from May to September, and transitional periods in April and October (Silva et al., 2008).
According to Sioli's (1984) classification, the Chandless River is a whitewater river, with high suspended solids content, water transparency between 30 and 60 cm, near-neutral pH, and high electrical conductivity-characteristics typical of Andean whitewater rivers influenced by seasonal variability (Junk et al., 2012; Ríos-Villamizar et al., 2013; Röpke et al., 2016). The regional hydrochemistry is directly influenced by the Solimões Formation, a Miocene geological unit composed predominantly of fine-grained sediments and carbonates. The weathering of these materials releases ions such as Ca²⁺ and Mg²⁺, which helps explain the concentrations observed in the Chandless River.
2.2. Data Collection
2.2.1. Water Sampling
Sampling was carried out in three oxbow lakes and the Chandless River during the dry season (June-July 2021) within the boundaries of the PEC. Two sampling points were selected in each lake (Buião, São João I, and São João II), and two points were sampled in the Chandless River one upstream of Lake Buião, near the PEC headquarters, and one downstream of Lake São João II. In total, eight sampling points were analyzed: six in the lakes and two in the main river channel. At each point, a 1-liter water sample was collected using PET bottles and kept on ice until filtration. Samples were filtered using a vacuum pump at the PEC headquarters. Two 60 mL aliquots (duplicate samples) were taken from each point, filtered through cellulose acetate membranes (0.45 μm pore size), and preserved with 6 mg of thymol for ion concentration analysis. Sixteen aliquots were processed and sent to the Laboratory of Biology and Cultivation of Freshwater Fish (LAPAD) at the Federal University of Santa Catarina.
2.2.2. Limnological Variables
At each sampling site, limnological parameters were measured using portable probes. Water pH and temperature (°C) were measured with an Orion 290Aplus portable pH meter, and electrical conductivity (μS.cm⁻¹) was measured with a VWR 2052 conductivity meter. Dissolved oxygen (DO) concentration (mg.L⁻¹) was assessed using a YSI 55 oximeter. Measurements were taken by submerging the electrodes approximately 50 cm below the surface until values stabilized. Depth and transparency (in cm) were recorded using a Secchi disk. GPS coordinates, time, and photographic records were also taken at all sampling points.
2.2.3. Ion Analysis
Cation concentrations (sodium, magnesium, potassium, and ammonium) and anions (chloride, sulfate, nitrite, and nitrate) were determined using ion chromatography with ion suppression, with a Dionex DX-500 system. This method involves injecting the sample into a mobile phase that passes through an ion-exchange column (stationary phase), with detection based on electrical conductivity. Analytical columns used were IonPac AS14HC (4 mm) for anions and CS12A (4 mm) for cations. Concentrations were calculated by comparison with known standards (Leite, 2004).
2.3. Data Analysis
To test the hypothesis that oxbow lakes have lower nutrient concentrations than the main river channel, chemical and limnological variables were compared between environments. Oxbow lakes and the Chandless River channel were considered predictor variables, and average distances were used as response variables.
Mean concentration values between the two groups (lakes and river) were compared using a t-test with 1000 permutations. Differences among individual environments (Lakes Buião, São João I, São João II, and Chandless River) were analyzed via one-way ANOVA. Normality was assessed using the Shapiro-Wilk test.
A Principal Component Analysis (PCA) was performed to explore data grouping. The PCA configuration was tested using permutational multivariate analysis of variance (PERMANOVA) with 1000 permutations and dispersion analysis via PERMDISP. Pearson correlation analysis was also conducted to examine relationships between nutrient concentrations across environments. All statistical analyses were conducted using R software, version 3.0.3 (Oksanen et al., 2013; R Core Team, 2018).
3. RESULTS AND DISCUSSION
The results revealed that the average depth was 143 cm among the sampling points, with the two points in the Chandless River being shallower, and the oxbow lakes reaching depths of up to 200 cm (Table 1). The average water transparency was 60 cm, with Lake Buião exhibiting the greatest transparency, followed by the Chandless River, Lake São João II, and São João I. Among the directly measured parameters, water temperature was stable across environments, with an average of 25.3°C and greater variation between the Chandless River points, as collections were conducted on different days (Table 1).
Dissolved oxygen (DO) levels ranged from 7.4 to 1.6 mg·L⁻¹, with an average of 4.5 mg·L⁻¹. The highest DO concentrations were recorded in the Chandless River, followed by Lakes São João II, São João I, and Buião. pH levels followed a similar pattern to DO, with the Chandless River having the highest mean pH of 7.263. The oxbow lakes were more acidic in comparison, with an average of 6.420, and Lake São João I showing the lowest average pH of 6.129 (Table 1).
Electrical conductivity was the parameter with the greatest variation among the sampling points, both in the oxbow lakes and in the main river channel. The Chandless River showed the highest mean conductivity (684 μS·cm⁻¹), followed by Lake São João II (414 μS·cm⁻¹), São João I (301 μS·cm⁻¹), and Buião (201 μS·cm⁻¹).
Regarding nutrient concentrations, the most abundant cations were calcium (Ca²⁺) (364.48 ± 120.22 µmol), sodium (Na⁺) (169.42 ± 76.89 µmol), and magnesium (Mg²⁺) (90.56 ± 32.57 µmol). Among anions, sulfate (SO₄²⁻) (124.96 ± 100.51 µmol) was the most prevalent (Table 1).
The lowest concentrations were observed for potassium (K⁺) (24.19 ± 11.38 µmol) and ammonium (NH₄⁺) (0.90 ± 0.63 µmol) among cations; and for fluoride (F⁻) (0.6 ± 0.1 µmol), chloride (Cl⁻) (1.2 ± 0.42 µmol), nitrite (NO₂⁻) (6.48 ± 3.17 µmol), nitrate (NO₃⁻) (0.26 ± 0.12 µmol), and phosphate (PO₄³⁻) (0.94 ± 0.56 µmol) among anions (Table 1).
Analyses of directly measured limnological parameters in oxbow lakes and the Chandless River indicated no significant differences in depth, DO, pH, and temperature. However, transparency and conductivity differed among sampling points (χ² = 627.61, P < 0.0001). These differences are likely due to varying concentrations of suspended particulate matter between sites. Significant correlations were found between pH and conductivity (Pearson’s r = 0.92, t = 3.36, P = 0.001); DO and conductivity (r = 0.90, t = 3.34, P = 0.001); and DO and pH (r = 0.76, t = 5.24, P = 0.01). Transparency showed negative, non-significant correlations with temperature (r = -0.61) and DO (r = -0.28).
Nutrient analysis indicated significant differences in cation concentrations for Ca²⁺ (t = -7.0713, df = 8.2739, P < 0.0001) and Na⁺ (t = -4.7177, df = 13.895, P < 0.0001). Among anions, SO₄²⁻ (t = 6.8465, df = 11, P < 0.00001), F⁻ (t = 14.855, df = 11.071, P < 0.0001), and NO₂⁻ (t = 6.1051, df = 13.056, P < 0.0001) also differed significantly. Cl⁻, NO₃⁻, and PO₄³⁻ showed no significant differences and had low concentrations relative to other anions.
The PCA explained 68.8% of the total variance and showed clear separation in cation and anion concentrations between oxbow lakes and the Chandless River (PERMANOVA F = 13.621, P < 0.0001; PERMDISP F = 3.439, P > 0.05). Differences in Ca²⁺, Na⁺, Mg²⁺, and SO₄²⁻ primarily accounted for this separation (Figure 2).
The PCA for individual environments (Lakes Buião, São João I, São João II, and the Chandless River) showed distinct clustering likely due to their unique concentration profiles (PERMANOVA F = 17.508, P < 0.0001; PERMDISP F = 0.2972, P > 0.05). These results suggest differences in hydrochemical composition between sampled environments. Comparisons among the oxbow lakes themselves revealed that Ca²⁺ and SO₄²⁻ differed significantly (χ² = 7.5868, P < 0.01 and χ² = 44.581, P < 0.0001, respectively), indicating their role in shaping the hydrochemical identity of each lake.
This study showed that the evaluated oxbow lakes and the Chandless River present distinct physicochemical characteristics, despite the data being based on single-time sampling with a relatively small number of sites. Directly measured variables revealed that the Chandless River exhibited higher pH, electrical conductivity, and dissolved oxygen, similar to what was reported for the Purus River-its main tributary-by Salimon et al. (2013) and Sousa (2013). The elevated pH and conductivity during the dry season are associated with the influx of groundwater rich in dissolved salts, which increases concentrations of bicarbonate (HCO₃⁻), Ca²⁺, Na⁺, Mg²⁺, and SO₄²⁻, while the dilution capacity is reduced due to lower discharge volumes (Quesada et al., 2011; Cunha and Sternberg, 2018).
PCA results for cation and anion concentrations between treatments (oxbow lakes vs. Chandless River), Chandless State Park, Acre.
Higher levels of dissolved oxygen may be explained by increased light penetration into the water column during the dry season, as suspended particulate matter is reduced, thus enhancing primary productivity (Forsberg et al., 2017). Conversely, the evaluated oxbow lakes displayed more acidic waters, lower conductivity, and reduced oxygen levels. Transparency varied among lakes, indicating environmental heterogeneity, as also observed by Cabral et al. (2021).
Beyond the expected differences between lentic and lotic systems, Amazonian oxbow lakes experience extreme abiotic conditions during the dry season-becoming shallower and warmer, with high decomposition rates and altered biological interactions that negatively affect the environment (Thomé-Souza and Chao, 2004; Fantin-Cruz, 2008; Miranda, 2011; Virgílio et al., 2021).
The hypothesis that oxbow lakes would have lower nutrient concentrations than the main river channel was rejected. Our study indicates that the hydrochemical profiles of the Chandless River and the oxbow lakes (Buião, São João I and II) are not solely determined by nutrient concentrations. The rejection of the initial hypothesis indicates that lake isolation during the dry season generates autonomous chemical signatures. The high concentrations of SO₄²⁻ and NO₂⁻ in Lakes Buião and São João suggest decomposition of organic matter and macrophytes under low-flow conditions. The mineralization of these detrital materials likely replaces the direct influence of the main river channel.
Cations such as Ca²⁺, Na⁺, and Mg²⁺ were more concentrated in the Chandless River and Lake São João II, likely due to the more basic geochemical nature of the Purus Basin waters (Salimon et al., 2013). On the other hand, SO₄²⁻ and NO₂⁻ anions were more concentrated in Lake Buião and São João I, probably due to sediment deposition, presence of macrophytes, and the decomposition of riparian and aquatic plant material-all of which influence hydrochemical dynamics (Cole et al., 2020; Gayer et al., 2021).
Although the Chandless River showed higher concentrations of Ca²⁺, Na⁺, Mg²⁺, and K⁺ compared to the lakes-as expected-these values were lower than those reported in other Purus Basin tributaries such as the Caeté River (Ca²⁺ = 536.96±188.47 µmol; Na⁺ = 590.01±198.46 µmol; Mg²⁺ = 520.61±167.02 µmol; K⁺ = 112.33±17.90 µmol) and even the Purus River itself (Ca²⁺ = 541.44±207.98 µmol; Na⁺ = 575.23±87.05 µmol; Mg²⁺ = 390.02±18.50 µmol; K⁺ = 88.20±11.71 µmol) (Sousa, 2013). This pattern of lower ion concentrations was also seen for anions.
Such lower ionic values compared to other studies may reflect geological conditions and local biogeochemical cycles within Chandless State Park, which influence aquatic chemical composition (Neu et al., 2016). Additionally, rainfall patterns, sedimentary rock prevalence, and seasonality can, depending on sampling timing, cause whitewater rivers to present intermediate characteristics more akin to blackwater systems (Ríos-Villamizar et al., 2020).
Regarding other ions, the presence of ammonium, nitrite, and nitrate stood out. In aquatic ecosystems, nitrogen can also occur as ammonia (NH₃), but nitrate and ammonium are the primary nitrogen sources for primary producers. In the euphotic zone, ammonium is typically low, making nitrate the main nitrogen source for aquatic plants (Esteves, 1998). This pattern may explain the high nitrate concentrations in Lake Buião, which harbored the most macrophytes among the studied oxbow lakes. The lower concentrations of ammonium, nitrite, and nitrate in the Chandless River may reflect the fact that rivers primarily receive nitrogen from rainfall, allochthonous organic and inorganic materials, and molecular nitrogen fixation within the aquatic system (Tundisi and Tundisi, 2008; Weathers et al., 2015)-factors with limited influence during the dry season (Marengo and Espinoza, 2016).
The oxbow lakes showed hydrochemical differences both among themselves and compared to the Chandless River, yet they still share core properties of Amazonian whitewater systems (Junk et al., 2012). Cabral et al. (2021), in their study on macrophytes and limnological variables affecting cladoceran communities in Chandless oxbow lakes, showed that changes in water chemistry and macrophyte dominance influenced the abundance and composition of phytophilous cladocerans.
Abiotic and biotic features of oxbow lakes in the Purus Basin-such as macrophyte presence, lake size, faunal composition (fish, amphibians, reptiles), lake age, and connectivity with the river-collectively shape the unique properties of each lake and can shift with time and seasonal variation (Ramalho et al., 2016; Virgílio et al., 2021; 2022).
This study focused on dry-season conditions, when oxbow lake dynamics are not influenced by the flood pulse. Seasonality, particularly the alternation between dry and rainy seasons, and the formation of floodplains, is one of the main drivers of changes in physicochemical characteristics in Amazonian ecosystems (Junk et al., 2012). In the case of oxbow lakes, seasonal dynamics and connectivity with the river during water level rises are vital to maintaining both abiotic and biotic conditions (Silva et al., 2013; Röpke et al., 2016; MacKinnon et al., 2016). Over time, seasonal variations and river course shifts form oxbow lakes, whose conditions depend on how long they’ve been isolated or connected to the main channel (Rodrigues et al., 2002; Stoffels et al., 2015; Penha et al., 2017; Cunha and Sternberg, 2018; Lynch et al., 2019).
Studying river and lake hydrochemistry during the dry season, in the absence of flood influence, helps reveal each environment’s intrinsic characteristics (Gayer et al., 2021). Our results show that the sampled oxbow lakes have distinct hydrochemical patterns, shaped by multiple factors documented in the literature but not directly measured in this study.
4. CONCLUSION
Each aquatic system within Chandless State Park exhibits a distinct chemical identity, shaped by the interaction between regional geology and local biological processes. Bedrock weathering of the Solimões Formation regulates the ionic inputs to the Chandless River, whereas decomposition processes and lake morphometry drive the differentiation of the isolated oxbow lakes.
These findings establish an essential scientific baseline for environmental monitoring and the conservation of water resources in this strategically important region of the Amazon. This study provides the first detailed hydrochemical dataset for the interior of Chandless State Park, revealing pronounced environmental heterogeneity in a priority conservation area that remains largely underrepresented in limnological records.
In conclusion, the evaluated oxbow lakes display distinct ionic compositions, both among themselves and relative to the Chandless River, underscoring the unique and heterogeneous nature of each aquatic environment. This pattern is not only of scientific significance but also fundamental for the effective management of Chandless State Park. Recognizing this environmental mosaic supports improved decision-making and the development of strategies aimed at safeguarding the park’s natural resources.
Further research incorporating variables such as floristic and faunal composition, regional geology, and seasonal hydrological dynamics is required to better understand the lakes and the Chandless River, in order to achieve a more comprehensive understanding of the limnological and ecological dynamics of these aquatic ecosystems.
5. DATA AVAILABILITY STATEMENT
Data availability not informed.
6. REFERENCES
- ACRE. Acre em números. 2017. 92 f. Rio Branco: SEPLAN, 2017.
- ACRE. Secretaria de Estado do Meio Ambiente e das Políticas. Coleção Temática do ZEE v. 3 Recursos naturais: biodiversidade e ambientes do Acre. Rio Branco: SEMA Acre, 2010. 130p.
-
AHMED, J.; CONSTANTINE, J. A.; DUNNE, T. The role of sediment supply in the adjustment of channel sinuosity across the Amazon Basin. Geology, v. 47, n. 9, p. 807-810, 2019. https://doi.org/10.1130/G46319.1
» https://doi.org/10.1130/G46319.1 -
CABRAL, G. S.; SILVA, R. S. D.; ARAUJO, R. M. G.; GHIDINI, A. R. Composition and diversity of phytophilous cladocerans of oxbow lakes of Southwest Amazonian, Acre state, Brazil. Biota Neotropica, v. 21, 2021. https://doi.org/10.1590/1676-0611-BN-2020-1079
» https://doi.org/10.1590/1676-0611-BN-2020-1079 -
COLE, L. J.; STOCKAN, J.; HELLIWELL, R. Managing riparian buffer strips to optimise ecosystem services: A review. Agriculture, Ecosystems & Environment, v. 296, 2020. http://dx.doi.org/10.1016/j.agee.2020.106891
» http://dx.doi.org/10.1016/j.agee.2020.106891 -
CUNHA, A. C.; STERNBERG, L. S. L. Using stable isotopes 18O and 2H of lake water and biogeochemical analysis to identify factors affecting water quality in four estuarine Amazonian shallow lakes. Hydrological processes, v. 32, n. 9, p. 1188-1201, 2018. https://doi.org/10.1002/hyp.11462
» https://doi.org/10.1002/hyp.11462 -
DRAKE, T. W.; HEMINGWAY, J. D.; KUREK, M. R.; PEUCKER‐EHRENBRINK, B.; BROWN, K. A.; HOLMES, R. M. et al The pulse of the Amazon: Fluxes of dissolved organic carbon, nutrients, and ions from the world's largest river. Global Biogeochemical Cycles, v. 35, n. 4, 2021. https://doi.org/10.1029/2020GB006895
» https://doi.org/10.1029/2020GB006895 - ESTEVES, F. A. Fundamentos de Limnologia. 2. ed. Rio de Janeiro: Interciência, 1998.
-
FANTIN-CRUZ, I.; LOVERDE-OLIVEIRA, S. M.; GIRARD, P. Caracterização morfometrica e suas implicações na limnologia de lagoas do Pantanal Norte. Acta Scientiarum Biological Sciences, v. 30, p. 133-140, 2008. https://doi.org/10.4025/actascibiolsci.v30i2.3628
» https://doi.org/10.4025/actascibiolsci.v30i2.3628 -
FORSBERG, B. R.; MELACK, J. M.; RICHEY, J. E.; PIMENTEL, T. P. Regional and seasonal variability in planktonic photosynthesis and planktonic community respiration in Amazon floodplain lakes. Hydrobiologia, v. 800, p. 187-206, 2017. https://doi.org/10.1007/s10750-017-3222-3
» https://doi.org/10.1007/s10750-017-3222-3 -
GAYER, P. R.; MORAES, A. L. D. M. D.; GUIMARÃES, P. S.; BARBOSA, F. G.; ALBERTONI, E. F.; HEPP, L. U. Decomposição de detritos orgânicos em ambientes aquáticos continentais em clima subtropical da América do Sul: uma revisão sistemática e cienciométrica. Acta Limnologica Brasiliensia, v. 33, 2021. https://doi.org/10.1590/S2179-975X2420
» https://doi.org/10.1590/S2179-975X2420 -
GÜNTZEL, A. M.; SILVA, W. M.; PANARELLI, E. A. Connectivity as the control key to intensity of flood pulse in Taquari River oxbow lakes. Revista Ambiente & Água, v. 15, n. 4, 2020. https://doi.org/10.4136/ambi-agua.2534
» https://doi.org/10.4136/ambi-agua.2534 -
JUNK, W. J.; PIEDADE, M.T.F.; SCHÖNGART, J.; WITTMANN, F. A. A classification of major natural habitats of Amazonian white-water river floodplains (várzeas). Wetlands Ecology and Management, v. 20, p. 461-475, 2012. https://doi.org/10.1007/s11273-012-9268-0
» https://doi.org/10.1007/s11273-012-9268-0 - LEITE, N. K. A biogeoquímica do Rio Ji-Paraná, Rondônia. 2004. Dissertação (Mestrado em Ecologia de Agroecossistemas) - Ecologia de Agroecossistemas, Universidade de São Paulo, Piracicaba, 2004. https://10.11606/D.91.2004.tde-29072004-162959
-
LI, X.; CHENG, G.; GE, Y.; LI, H.; HAN, F.; HU, X. et al Hydrological cycle in the Heihe River Basin and its implication for water resource management in endorheic basins. Journal of Geophysical Research: Atmospheres, v. 123, n. 2, p. 890-914, 2018. https://doi.org/10.1002/2017JD027889
» https://doi.org/10.1002/2017JD027889 -
LYNCH, L. M.; SUTFIN, N. A.; FEGEL, T. S.; BOOT, C. M.; COVINO, T. P.; WALLENSTEIN, M. D. River channel connectivity shifts metabolite composition and dissolved organic matter chemistry. Nature Communications, v. 10, n. 1, p. 1-11. 2019. https://doi.org/10.1038/s41467-019-08406-8
» https://doi.org/10.1038/s41467-019-08406-8 -
MACKINNON, B. D.; SAGIN, J.; BAULCH, H. M.; LINDENSCHMIDT, K-E.; JARDINE, T. D. Influence of hydrological connectivity on winter limnology in floodplain lakes of the Saskatchewan River Delta, Saskatchewan. Can. Journal of Fisheries and Aquatic Sciences, v. 73, p. 140-152, 2016. https://dx.doi.org/10.1139/cjfas-2015-0210
» https://dx.doi.org/10.1139/cjfas-2015-0210 -
MARENGO, J. A.; ESPINOZA, J. C. Extreme seasonal droughts and floods in Amazonia: causes, trends and impacts. International Journal of Climatology, v. 36, p. 1033-1050, 2016. https://doi.org/10.1002/joc.4420
» https://doi.org/10.1002/joc.4420 -
MARKEWITZ, D.; DAVIDSON, E.; MOUTINHO, P.; NEPSTAD, D. Nutrient loss and redistribution after forest clearing on a highly weathered soil in Amazonia. Ecological Applications, v. 14, n. sp4, p. 177-199, 2004. https://doi.org/10.1890/01-6016
» https://doi.org/10.1890/01-6016 -
MELACK, J. M.; COE, M. T. Amazon floodplain hydrology and implications for aquatic conservation. Aquatic Conservation: Marine and Freshwater Ecosystems, v. 31, p. 1029-1040, 2021. https://doi.org/10.1002/aqc.3558
» https://doi.org/10.1002/aqc.3558 -
McMICHAEL, C. H.; PALACE, M. W.; GOLIGHTLY, M. Bamboo-dominated forests and pre-Columbian earthwork formations in south-western Amazonia. Journal of Biogeography, v. 41, p. 1-13, 2014. https://doi.org/10.1111/jbi.12325
» https://doi.org/10.1111/jbi.12325 -
MIRANDA, L. E. Depth as an organizer of fish assemblages in floodplain lakes. Aquatic Science, v. 73, p. 211-221, 2011. https://doi.org/10.1007/s00027- 010-0170-7
» https://doi.org/10.1007/s00027- 010-0170-7 -
MOQUET, J.-S. et al Chemical weathering and atmospheric/soil CO2 uptake in the Andean and Foreland Amazon basins. Chemical Geology, v. 287, n. 1-2, p. 1-26, 2011. https://doi.org/10.1016/j.chemgeo.2011.01.005
» https://doi.org/10.1016/j.chemgeo.2011.01.005 - NELSON, B. W.; BIANCHINI, M. C. Complete life cycle of southwest Amazon bamboos (Guadua spp) detected with orbital optical sensors. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 12., 2005, Goiânia. AnaisENT#091;...ENT#093; São José dos Campos: INPE, 2005. p. 1629-1636.
-
NEU, V.; WARD, N. D.; KRUSCHE, A. V.; NEILL, C. Dissolved organic and inorganic carbon flow paths in an Amazonian transitional forest. Frontiers in Marine Science, v. 3, p 114, 2016. https://doi.org/10.3389/fmars.2016.00114
» https://doi.org/10.3389/fmars.2016.00114 -
NEWMAN, B. D.; LAND, L.; PHILLIPS, F. M.; RAWLING, G. C. The hydrogeology of the Sacramento Mountains and Roswell and Salt basins of New Mexico, USA: overview of investigations on dryland groundwater systems using environmental tracers and geochemical approaches. Hydrogeology Journal, v. 24, p. 753-756, 2016. https://doi.org/10.1007/s10040-016-1404-0
» https://doi.org/10.1007/s10040-016-1404-0 - OKSANEN, J.; BLANCHET, F. G.; KINDT, R.; LEGENDRE, P.; MINCHIN, P. R.; O’HARA, R. B. et al Community ecology package. Version 2.9. R Foundation for statistical computing, 2013. 295p.
-
PENHA, J.; LANDEIRO, V. L.; ORTEGA, J. C.; MATEUS, L. Interchange between flooding and drying, and spatial connectivity control the fish metacommunity structure in lakes of the Pantanal wetland. Hydrobiologia, v. 791, p. 115-126, 2017. https://doi.org/10.1007/s10750-017-3164-9
» https://doi.org/10.1007/s10750-017-3164-9 -
QUESADA, C. A.; LLOYD, J.; SCHWARZ, M.; PATIÑO, S.; BAKER, T. R.; CZIMCZIK, C. et al Variations in chemical and physical properties of Amazon Forest soils in relation to their genesis. Biogeosciences, v. 7, n. 5, p. 1515-1541, 2010. https://doi.org/10.5194/bg-7-1515-2010
» https://doi.org/10.5194/bg-7-1515-2010 -
QUESADA, C. A.; LLOYD, J.; ANDERSON, L. O.; FYLLAS, N. M.; SCHWARZ, M.; CZIMCZIK, C. I. Soils of Amazonia with particular reference to the RAINFOR sites. Biogeosciences, v. 8, p. 1415-1440, 2011. https://doi.org/10.5194/bg-8-1415-2011
» https://doi.org/10.5194/bg-8-1415-2011 -
R CORE TEAM R. A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2018. https://www.R-project.org/
» https://www.R-project.org/ -
RAMALHO, W. P.; ANDRADE, M. S.; MATOS, L. R. A.; VIEIRA, L. J. S. Amphibians of varzea environments and floating meadows of the oxbow lakes of the Middle Purus River, Amazonas. Brazil. Biota Neotropica, v. 16, p. 1-15, 2016. https://doi.org/10.1590/1676-0611-BN-2015-0093
» https://doi.org/10.1590/1676-0611-BN-2015-0093 -
RÍOS-VILLAMIZAR, E. A.; PIEDADE, M. T. F.; DA COSTA, J. G.; ADENEY, J. M.; JUNK, W. J. Chemistry of different Amazonian water types for river classification: a preliminary review. Water and society II, v. 178, p. 1117, 2013. http://doi:10.2495/13WS0021
» http://doi:10.2495/13WS0021 -
RÍOS-VILLAMIZAR, E. A.; PIEDADE, M. T.; JUNK, W. J.; WAICHMAN, A. V. Surface water quality and deforestation of the Purus River basin, Brazilian Amazon. International Aquatic Research, v. 9, p. 81-88, 2017. https://doi.org/10.1007/s40071-016-0150-1
» https://doi.org/10.1007/s40071-016-0150-1 -
RÍOS-VILLAMIZAR, E. A.; PIEDADE, M. T. F.; JUNK, W. J. Hydrochemical classification of Amazonian rivers: a systematic review and meta-analysis. Revista Caminhos de Geografia, v. 21, p. 211-226, 2020. http://doi.org/10.14393/RCG217853272
» http://doi.org/10.14393/RCG217853272 -
RODRIGUES, L. C.; TRAIN, S.; ROBERTO, M. D. C.; PAGIORO, T. A. Seasonal fluctuation of some limnological variables on a floodplain lake (Patos lagoon) of the Upper Paraná River, Mato Grosso do Sul State, Brazil. Brazilian Archives of Biology and Technology, v. 45, n. 4, p. 499-513, 2002. http://dx.doi.org/10.1590/S1516-89132002000600014
» http://dx.doi.org/10.1590/S1516-89132002000600014 -
RÖPKE, C. P.; AMADIO, S. A.; WINEMILLER, K. O.; ZUANON, J. Seasonal dynamics of the fish assemblage in a floodplain lake at the confluence of the negro and Amazon Rivers. Journal of Fish Biology, v. 89, p. 194-212, 2016. https://doi.org/10.1111/jfb.12791
» https://doi.org/10.1111/jfb.12791 -
SALIMON, C.; DOS SANTOS SOUSA, E.; ALIN, S. R.; KRUSCHE, A. V.; BALLESTER, M. V. Seasonal variation in dissolved carbon concentrations and fluxes in the upper Purus River, southwestern Amazon. Biogeochemistry, v. 114, n. 1-3, p. 245-254, 2013. https://doi.org/10.1007/s10533-012-9806-0
» https://doi.org/10.1007/s10533-012-9806-0 -
SILVA, A. E. P.; ANGELIS, C. F.; MACHADO, L. A. T.; WAICHAMAN, A. V. Influência da precipitação na qualidade da água do Rio Purus. Acta Amazônica, v. 28, n. 4, p. 733-742, 2008. https://doi.org/10.1590/S0044-59672008000400017
» https://doi.org/10.1590/S0044-59672008000400017 -
SILVA, M. T.; PEREIRA, J. O.; VIEIRA, L. J. S.; PETRY, A. C. Hydrological seasonality of the river affecting fish community structure of oxbow lakes: A limnological approach on the Amapá Lake, southwestern Amazon. Limnologica, v. 43, p. 79-90, 2013. https://doi.org/10.1016/j.limno.2012.05.002
» https://doi.org/10.1016/j.limno.2012.05.002 - SIOLI, H. The Amazon and its main affluents: hydrography, morphology of the river courses, and river types. In: SIOLI, H. (ed.). The Amazon. Dordrecht: Springer, 1984. p. 127-165.
- SOUSA, E. S. Fluxo evasivo de CO2 em ambientes fluviais no sudoeste da Amazônia, Acre, Brasil. 2013. 157f. Tese (Doutorado) - Centro de Energia Nuclear na Agricultura - CENA/USP, Piracicaba, 2013.
-
STOFFELS, R. J.; CLARKE, K. R.; LINKLATER, D. S. Temporal dynamics of a local fish community are strongly affected by immigration from the surrounding metacommunity. Ecology and Evolution, v. 5, p. 200-212, 2015. https://doi.org/10.1002/ece3.1369
» https://doi.org/10.1002/ece3.1369 -
THOMÉ-SOUZA, M. J.; CHAO, N. L. Spatial and temporal variation of benthic fish assemblages during the extreme drought of 1997-98 (El Niño) in the middle Rio Negro, Amazonia, Brazil. Neotropical Ichthyology, v. 2, p. 127-136, 2004. https://doi.org/10.1590/S1679-62252004000300004
» https://doi.org/10.1590/S1679-62252004000300004 - TUNDISI, J. G.; TUNDISI, T. M. Limnologia. São Paulo: Oficina de Textos, 2008.
-
VIRGÍLIO, L. R.; RAMALHO, W. P.; SILVA, J. C.; SUÇUARANA, M. O.; GOMES, R. S.; VIEIRA, L. J. Influence of niche and neutral processes on fish communities associated with changes in macrophyte rafts along the hydrological cycle. Biologia, p. 1-10, 2021. https://doi.org/10.1007/s11756-021-00747-4
» https://doi.org/10.1007/s11756-021-00747-4 -
VIRGÍLIO, L. R.; RAMALHO, W. P.; SUÇUARANA, M. S.; VIEIRA, L. J. S. Effects of hydrological, environmental and spatial factors on fish diversity and community structure in oxbow lakes from the Amazon floodplain. Limnologica, v. 93, 2022. https://doi.org/10.1016/j.limno.2022.125954
» https://doi.org/10.1016/j.limno.2022.125954 - WEATHERS, K. C.; STRAYER, D. L.; LIKENS, G. E. Fundamentos de Ciência dos Ecossistemas. Rio de Janeiro: Elsevier Brasil, 2015.
Edited by
-
Editor-in-Chief:
Nelson Wellausen Dias https://orcid.org/0000-0002-9507-9211



Source: Author.
Source: Author.