The riparian zone is a dynamic ecosystem formed by the interaction of aquatic and terrestrial components of rivers and serves as a source of the large wood (LW). We aimed to understand the LW ...dynamics and the LW influence on river morphology, sediment distribution, and flow velocity within three reaches of a low-order stream. The study was performed in a segment (770 m in length) of the Perdizes stream, located in Aparados da Serra National Park, southern Brazil. We framed the study by focusing three issues: i) the processes explaining the LW dynamics in the Araucaria Forest biome; ii) the effects of LW on the flow velocity along the study reaches, and iii) the presence of LW affecting the sediment longitudinal connectivity. The methodology consisted of: (i) collection of hydrological data (rainfall, discharge, and streamflow velocity), (ii) Perdizes stream characterization by topo-bathymetric survey and river-flow simulation with HEC-RAS 5.0.7 1D. and (iii) detailed field surveys of LW and bed sediments. The LW descriptions were performed at four moments (July 10, 2019; November 19, 2019; July 24, 2020; and December 18, 2020). Abundant LW, mainly from araucaria (Araucaria angustifolia (Bertol.) Kuntze), was observed before meanders. A notable reduction in LW volume and an increased proportion of araucaria, compared to deciduous trees, were observed within the channel. Mass balance analysis indicated fluctuations in riparian vegetation biomass, emphasizing the connectivity between vegetation and the river. Streamflow velocity decreased in LW presence, from occurrence to the margin. Bed sediment diameters were consistently smaller in cross-sections with LW presence. The accumulation of smaller sediments with LW indicated partial downstream sediment disconnectivity. HEC-RAS simulations confirmed increased LW deposition in lower velocity zones. This understanding of fluvial dynamics contributes to effective natural environment management, especially in the Araucaria Forest context.
Urea-N is ubiquitous in soils, having both natural and anthropogenic sources. The enzyme urease catalyzes its hydrolysis to NH3 and is produced by plants and many soil microorganisms, but there are ...growing concerns related to possible urea-induced eutrophication of surface waters proximate to agricultural fields. Agronomic research has focused on the relationship between urea hydrolysis and soil physical or chemical properties, rather than on direct measurements of the microbial community and its population diversity, especially using quantification of genes that code for urease. We quantified bacterial and archaeal 16S rRNA, fungal ITS, and bacterial ureC gene copies as a function of physical and chemical soil properties. Soils were sampled from A and B horizons along a toposequence that comprised an agricultural field, a grassed field border, and a forested riparian zone in the Chesapeake Bay watershed of Maryland. The riparian zone soils contained the highest total number of genes among both A- and B-horizon soils. The soils were then experimentally altered in the laboratory to achieve a range of pH values between 3.1 and 7.1. Soil pH was chosen as a variable because it varies both naturally and due to agronomic practices, and it influences microbial community structure and function. Archaeal 16S rRNA extracted from the pH-adjusted soils did not show a consistent pattern of increase or decrease with changes in pH, while ITS was greatest at low pH and bacterial 16S and bacterial ureC were greatest at high pH. We measured higher urea hydrolysis rates and gene copy numbers in A-horizon soils than in B-horizon soils, and found that urea hydrolysis rate was significantly correlated with gene copies of bacterial 16S, ureC, and increased pH. This suggests that liming acid soils increases urea hydrolysis rates in part by encouraging the growth of microorganisms capable of producing urease.
•pH impacts urease gene numbers.•Bacterial urease gene numbers are correlated with urea hydrolysis rate.•1–20% of bacterial community was ureolytic in the studied soils.•No correlation found between archaeal 16S gene copy number and urea hydrolysis rate.•No correlation found between fungal ITS gene copy number and urea hydrolysis rate.
Regular impoundment of the Three Gorges Reservoir (TGR) with intensified human activities in the watershed imparts a significant effect on the environmental changes in the riparian zone. In this ...study, six heavy metals (Cd, Cr, Cu, Ni, Pb and Zn) in the riparian sediments of the entire TGR mainstream were investigated in 2014 and 2016 to identify their contamination and risk characteristics and decipher the main factors for the variation of the metal contamination. The results showed that the concentrations of the heavy metals in the sediments did not vary significantly between 2014 and 2016, and their contamination degrees decreased in the order of Cd> > Cu ≈ Zn > Pb > Cr ≈ Ni in 2014 and Cd> > Zn > Cu ≈ Pb > Cr ≈ Ni in 2016. The potential eco-risk of Cd was extremely high in the two years, while the eco-risk of other metals was very low. The sediments showed a moderate to high contamination level, a high potential eco-risk but a low toxic risk to aquatic biota in the two years. Spatially, the contamination and risk levels of heavy metals were relatively higher in the downstream TGR region in 2014 except for the sites close to the urban areas but in the upper-middle TGR region in 2016. Increasing anthropogenic influence contributed to the high contamination and risk levels of Cd, Cu, Pb and Zn in the upper-middle region in 2016. The results indicated that the Cd contamination in the riparian sediments of the TGR was still a vital environmental issue, and the decreased sediment inputs from the upstream major tributaries, the periodic and anti-seasonal flow regulation, local geomorphological characteristics and anthropogenic activities determined the contamination distribution of heavy metals in the riparian sediments.
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•Spatial variation of metal contamination in the riparian sediments could occur after the TGR flow regulation.•Higher contamination and eco-risk of metals existed in the downstream TGR in 2014 but in the upper-middle regions in 2016.•Cd was the concerned metal with high contamination and potential eco-risk in both years.•Human activities increasingly contributed to metal contamination in the upper-middle TGR region.•Decreasing sediment inputs, flow regulation, geomorphological and anthropogenic factors determined the metal redistribution.
As transitional zone between terrestrial and aquatic ecosystems, the soil properties of riparian zones are deeply influenced by the eco-hydrological conditions of lakes. However, with the increasing ...frequent drought events caused by climate change, the response of riparian soil organic matter (SOM) dynamics to the eco-hydrological process of lakes under dryness stress is unclear. In this study, we utilized the field research, indoor experiments, ecoenzymatic stoichiometry model and data analysis to identify whether riparian SOM and enzyme activity were affected by dryness stress and determine the feedback relationship between soil biochemical properties and lake eco-hydrological processes. The results showed that lake dryness stress reduced the non-vegetated riparian soil quality (the mean Carbon Pool Management Index decreased by 18 % and 6 % for water-land interface (WL) and bare land (BL), respectively), and the humification degree and molecular weight of the riparian soil dissolved organic matter (DOM) (with E2/E3 and E3/E4 value of WL 6.1 and 1.9 times higher than main lake sediment), which was not conducive to soil carbon storage. In addition, lake dryness stress reduced the C-hydrolytic enzyme activity and soil enzyme stoichiometry. The vector and Vector-TER analysis suggested the riparian soil was C and N limitation of the microbial community (vector length of 2.05 ± 0.57 and vector angle of 30.10° ± 7.70°), and dryness had reduced the limitations to some extent. Most notably, we combined structural equation model (SEM) analysis and found that lake dryness stress affects riparian soil organic carbon (SOC) dynamics by significantly affecting microbial biomass carbon (MBC) and soil pH. Finally, the response of riparian zone to eco-hydrological condition under climate change should receive further attention, which can effectively deepen our understanding of the carbon water cycle mechanism in riparian soil under changing environments.
Riparian zones can receive large amounts of nitrate, potentially contributing to water pollution. Denitrification is a major pathway to remove nitrate. Previous research on riparian denitrification ...focused on natural factors, but frequently neglected the roles of human activity, such as pesticide accumulations. Here, we combined field investigations and exposure experiments to reveal the responses of denitrification and N2O emission to chlorothalonil (CTN, a common pesticide) in column experiments with riparian sediments. In this study, CTN inhibited denitrification and led to nitrate accumulation in sediments. Furthermore, CTN significantly increased N2O emission by 208–377%, and this response was regulated by N2O reductase (NOS) activity rather than nosZ abundance. A mechanistic study indicated that the critical step (glyceraldehyde-3-phosphate to 3-phosphogylcerate) catalyzed by glyceraldehyde-3-phosphate dehydrogenase during microbial metabolism greatly influenced denitrification in CTN-polluted sediments. Our data also revealed that CTN declined electron donor NADH, electron transport system, and denitrifying enzyme activities during denitrification. Such responses suggested that CTN deteriorated sediment denitrification by inhibiting electron production, transport and consumption in denitrifiers. Additionally, structure equation modeling indicated that NOS was the key factor in predicting denitrification rate in CTN-polluted sediments. Overall, this is the first study to explore the effects of pesticide on denitrification and N2O emission in riparian zones at microbial metabolism level. Our results suggest that the safety threshold of CTN accumulation for inhibiting sediment denitrification is approximately 2 mg kg−1, and imply that the wide presence of pesticides in riparian zones could impact eutrophication control of aquatic ecosystems.
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•First study to test the effects of pesticides on denitrification in riparian sediments.•CTN significantly inhibited denitrification but stimulated N2O emission.•The critical step catalyzed by GAPDH in glycolysis greatly impacted denitrification.•N2O reductase was the key factor for predicting denitrification rate in CTN-polluted sediments.•Safety threshold of CTN for inhibiting denitrification should be no more than 2 mg kg−1.
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•Ensemble of fully-coupled 3D numerical models is used to assess hyporheic mixing.•Effects of geological heterogeneity and stream discharge are disentangled.•Mixing potential ...increases along with the sand content of the aquifer material.•Introduction of geological heterogeneity increases mixing potential at reach-scale.•Short and intense discharge events enlarge mixing more than analogous long events.
Stream water (SW) infiltration to the subsurface and subsequent mixing with groundwater (GW) is crucial for controlling water quality in river-corridors. Mixing of solutes from SW and GW triggers biogeochemical reactions, which can attenuate contaminant influx from upstream SW or from GW that eventually enters the river in downstream regions. It is known that geological heterogeneity affects SW-GW exchange fluxes (EF), however, the combined effects of both hydrological and geological aspects (e.g., sand fraction present in the aquifer material) on EF and on SW-GW mixing in strong contrasting bimodal aquifer units remain unclear. Here, we examined this gap by combining geostatistical realizations, fully-integrated numerical flow simulations, and a mixing-cell routine to assess the major controls on EF and to evaluate how mixing develops and is affected by stream discharge events with different magnitudes and durations. Results show that subsurface heterogeneity at the river-reach scale mainly affects EF magnitudes rather than EF patterns. Yet, both EF magnitudes and SW-GW mixing increased with the introduction of subsurface heterogeneity and with the increase of average hydraulic conductivity (K) values and sand fraction in the models. The simulations further indicated a larger potential for mixing under more frequent, short events regardless of the aquifer material, however, mixing values were generally higher for sandier and heterogeneous models. Lastly, for a high K contrast between subsurface units, these effects were more pronounced. This characterization is critical for river restoration strategies and for downstream management of dam-regulated rivers. Our study elucidates the interplay between hydrological and geological controls on the development of SW-GW mixing at intermediate scales and highlights the importance of considering aquifer characteristics in future studies.
•Global Sensitivity Analysis (GSA) was utilized to identify key parameters and processes governing redox zonation in riparian zone.•A deep learning-based surrogate model was implemented to mitigate ...computational burdens, enhancing efficiency.•Groundwater flow and reactive transport processes emerge as pivotal processes influencing variations in the thickness of redox zones.
The riparian zone constitutes an intricate redox environment, giving rise to distinct redox zones characterized by dissolved oxygen (DO), nitrate, manganese dioxide (Mn (IV)), iron hydroxide (Fe(III)), and sulfate. Processes encompassing river fluctuation, groundwater flow, microbial growth and death, as well as solute reactive transport, exert substantial influences on the spatiotemporal zonation of these redox zones in the riparian zone. Nonetheless, understanding remains elusive regarding how these processes govern the thickness of these zones. In this study, we built a one-dimensional (1-D) model which is adapted from Zhu et al. (2023) that integrates these processes to simulate the temporal variation of the thicknesses of different redox zones in riparian zone. Sobol’s sensitivity analysis method and the hierarchical sensitivity analysis framework based on Bayesian Networks (BNs) were then employed to quantify the sensitivities of the 17 selected parameters and the four generalized processes governing redox zonation, respectively. To mitigate the computational costs, multi-layer perceptron (MLP) was employed to establish the surrogate models, efficiently predicting model outputs for sensitivity analysis. The results of sensitivity analysis highlight the groundwater flow and reactive transport processes as the most important processes affecting thickness variations of the redox zones. Parameters such as the initial hydraulic conductivity (Ks0) and DOC concentration (CDOC) play a predominant role in governing the thickness variations. Parameters linked to river fluctuation and microbe growth processes exhibit very limited effects on redox zonation. These findings offer valuable insights into the factors controlling redox zones in the riparian environment.
Riparian zones are important buffer zones for streams as they are hotspots of nitrate transformation and removal in agricultural catchments. However, mixing of water from different sources and ...various transformation processes can complicate the quantification of nitrate turnover in riparian zones. In this study, we analyzed nitrate concentration and isotope data in riparian groundwater along a 2‐km stream section in central Germany. We developed a mathematical model combining end‐member mixing and isotope modeling to account for mixing of river water and groundwater and quantify nitrate transformation in riparian groundwater. This enabled us to explicitly determine the extent of denitrification (as process leading to permanent nitrate removal from riparian groundwater) and transient nitrate removal by additional processes associated with negligible isotope fractionation (e.g., plant uptake and microbial assimilation) and to perform an extensive uncertainty analysis. Based on the nitrogen isotope data of nitrate, the simulations suggest a mean removal of up to 27% by additional processes and only about 12% by denitrification. Nitrate removal from riparian groundwater by additional processes exceeded denitrification particularly in winter and at larger distance from the river, underlining the role of the river as organic carbon source. This highlights that nitrate consumption by additional processes predominates at the field site, implying that a substantial fraction of agricultural nitrogen input is not permanently removed but rather retained in the riparian zone. Overall, our model represents a useful tool to better compare nitrogen retention to permanent nitrogen removal in riparian zones at various temporal and spatial scales.
Plain Language Summary
Nitrogen is an important nutrient for agricultural crops. However, excessive nitrogen input into surface water in the form of nitrate can lead to algae blooms and lack of oxygen. The riparian zones of rivers are important buffer zones where groundwater is connected to soils, which are rich in soil organisms and organic matter pools fueling reaction processes. Hence, plants and bacteria can remove nitrate from riparian groundwater before it reaches the river. Bacterial consumption of nitrate (denitrification) leads to complete removal of nitrogen via release of nitrogen gas into the atmosphere. In contrast, other biogeochemical processes such as nitrate uptake by plants merely result in nitrogen retention within riparian zones. To quantify the role of denitrification relative to other processes, we developed a novel model combining concentration and isotope data of nitrate and applied it to a groundwater study site in Central Germany. We found that nitrate removal from riparian groundwater by additional processes largely exceeded denitrification. Hence, a major fraction of nitrogen inputs was retained in the riparian zone and may eventually end up in the river. Such information is highly relevant for many river ecosystems at risk of eutrophication because of high nitrogen inputs from agriculture.
Key Points
We present a model using concentration and isotope data to distinguish riparian denitrification from additional nitrate removal processes
The model was applied to concentration and dual‐element isotope data of nitrate from riparian groundwater wells
Nitrate removal by additional processes greatly exceeded denitrification, particularly at larger distance from the river and in winter
The Earth is experiencing excessive nitrogen (N) input to its various ecosystems due to human activities. How to effectively and efficiently remove N from ecosystems has been, is and will be at the ...center of attention in N research. Hyporheic and riparian zones are widely acknowledged for their buffering capacity to reduce contaminants (especially N) transport downstream. However, these zones are usually misunderstood that they can remove N at all spots and at any moments. Here pathways of N removal from hyporheic and riparian zones are reviewed and summarized with an emphasize on their hot spots and hot moments. N is biogeochemically removed by denitrification, anammox, nitrifier denitrification, denitrifying anaerobic methane oxidation, Feammox and Sulfammox. Hot moments of N removal are mainly triggered by precipitation, fire and snowmelt. Finally, some research needs are outlined and discussed, such as developing approaches for multiscale sampling and monitoring, quantifying the effects of hot spots and hot moments at hyporheic and riparian zones and evaluating the impacts of human activities on hot spots and hot moments, to inspire more research on hot spots and hot moments of N removal. By this review, we hope to bring awareness of the heterogeneity of hyporheic and riparian zones to catchment managers and policy makers when tackling N pollution problems.
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•Riparian and hyporheic zones are misunderstood that they can remove nitrogen at all spots and at any moments.•There are hot spots and hot moments of nitrogen removal from riparian and hyporheic zones.•Hot spots of six nitrogen removal pathways are summarized.•Precipitation, fire and snowmelt can trigger hot moments.•Suggestions for further applications of hot spots and hot moments to nitrogen removal are provided.
Reactive oxygen species (ROS) are ubiquitous in the natural environment and play a pivotal role in biogeochemical processes. However, the spatiotemporal distribution and production mechanisms of ROS ...in riparian soil remain unknown. Herein, we performed uninterrupted monitoring to investigate the variation of ROS at different soil sites of the Weihe River riparian zone throughout the year. Fluorescence imaging and quantitative analysis clearly showed the production and spatiotemporal variation of ROS in riparian soils. The concentration of superoxide (O
) was 300% higher in summer and autumn compared to that in other seasons, while the highest concentrations of 539.7 and 20.12 μmol kg
were observed in winter for hydrogen peroxide (H
O
) and hydroxyl radicals (
OH), respectively. Spatially, ROS production in riparian soils gradually decreased along with the stream. The results of the structural equation and random forest model indicated that meteorological conditions and soil physicochemical properties were primary drivers mediating the seasonal and spatial variations in ROS production, respectively. The generated
OH significantly induced the abiotic mineralization of organic carbon, contributing to 17.5-26.4% of CO
efflux. The obtained information highlighted riparian zones as pervasive yet previously underestimated hotspots for ROS production, which may have non-negligible implications for carbon turnover and other elemental cycles in riparian soils.
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