Skip to main content

REVIEW article

Front. Mar. Sci., 21 November 2022
Sec. Marine Pollution
This article is part of the Research Topic Toxicological Endpoints and Bioavailability of Emerging Contaminants and their Impacts on Marine Nutrient Cycles View all 6 articles

Effect of river damming on nutrient transport and transformation and its countermeasures

Xun Wang,*&#x;Xun Wang1,2*†Yu Chen,&#x;Yu Chen1,2†Qiusheng Yuan,Qiusheng Yuan1,2Xiaolei Xing,Xiaolei Xing1,2Bin Hu,Bin Hu1,2Jiawen Gan,Jiawen Gan1,2Yuran Zheng,Yuran Zheng1,2Yunxin Liu,Yunxin Liu1,2
  • 1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing, Jiangsu, China
  • 2College of Environment, Hohai University, Nanjing, Jiangsu, China

In recent decades, damming has become one of the most important anthropogenic activities for river regulation, and reservoirs have become hotspots for biogeochemical cycling. The construction of dams changes riverine hydrological conditions and alters the physical, chemical, and biological characteristics of rivers, eventually leading to significant variations in nutrient cycling. This review mainly explores the effects of river damming on nutrient transport and transformation, including i) nutrient (N, P, Si, and C) retention in reservoirs, ii) greenhouse gas (GHG) emissions, and iii) interactions between the nutrient stoichiometry ratio and the health of the reservoir ecosystem. The important drivers of nutrient transport and transformation, such as river connectivity, hydraulic residence time, hydropower development mode, microbial community variation, and anthropogenic pollution, have also been discussed. In addition, strategies to recover from the negative effects of damming on aquatic ecosystems are summarized and analyzed. To provide theoretical and scientific support for the ecological and environmental preservation of river-reservoir systems, future studies should focus on nutrient accumulation and GHG emissions in cascade reservoirs.

Introduction

With the development of human society, dam construction has developed rapidly owing to its applications in power generation, water resource utilization, navigation, and flood control. At the end of the 19th century, Europe and the United States started the first boom in hydropower development as a clean, efficient, and stable source of energy. The 21st century witnessed a second boom in dam construction, mainly occurring in developing countries, among which Asia was a hot spot with an installed capacity of more than 15 GW (Glibert, 2020). Although the center of dam construction has shifted from developed to developing countries since 2016, hydropower has always been the main source of renewable energy, accounting for 71% of the renewable energy supply (Moran et al., 2018). Currently, there are more than 3,700 hydropower stations with a capacity of at least 1 MW planned or under construction worldwide (Grill et al., 2019). Although dam construction has many functions, it will change the original state of the watershed. (Song et al., 2018). According to previous studies, the connectivity of more than half of the large rivers in the world has been influenced by damming (Van Cappellen and Maavara, 2016), and the number will increase to 93% by 2030 (Glibert, 2020).

It has been reported that dam construction flattens flood variation, alters downstream flow, and affects total runoff, leading to changes in the hydrological conditions of river estuaries and nearby marine areas (Baumgartner et al., 2022). Effects of dams on ecosystems occur through reduced river flow, reduced sediment flux, altered water temperature, changed estuary delta, and blocked migration routes in river sections and adjacent seas (Zhang X. et al., 2022). Moreover, damming alters the matter and energy fluxes in river and marine ecosystems, which has a direct impact on nutrient biogeochemistry (Liermann et al., 2012). Dams and reservoirs are hotspots for biogeochemical activity in river networks. The interference of human regulation on the circulation of river biomass affects the migration and transformation characteristics of river biomass and the eutrophication response of water. In addition to nutrient flow, the nutrient ratios are also affected. Changes in nutrient content and proportion impact river ecosystems, including the microbial communities in them. Therefore, the main contents of this review are as follows: 1) variation in the migration and transformation processes of nutrients, 2) important driving factors for the transport of river nutrients, and 3) potential strategies to mitigate the environmental consequences of river damming.

Transport and transformation of nutrients affected by river damming

River damming is one of the primary anthropogenic disruptions to the Earth’s natural water and matter cycles (Gilbert et al., 2020). Physical factors such as water level, flux, and velocity show notable changes after reservoir construction. For example, water velocity decreases as it approaches the dam, transforming the system from a natural “river” to an artificial “lake” (Winton et al., 2019). These modifications in physical parameters further impact biogeochemical cycles, affecting water quality and jeopardizing ecosystems in the downstream reaches and adjacent wetlands.

Nitrogen (N), phosphorus (P), silicon (Si), and carbon (C) cycling, the four most essential nutrient cycles in river ecosystems, are crucial for preserving aquatic biological balance (Atkins, 2020). Dam construction artificially complicates changes in the trophic state of rivers (Winemiller et al., 2016). To fully understand the changes of nutrient load fluxes and chemical compositions, it is necessary to review the nutrient cycling variation and relevant mechanism after damming.

Variations in hydraulic conditions

Dams intercept large amounts of sediment in reservoirs, and there is a general decrease in particle size along the flow direction within the reservoir as suspended particles settle down owing to the reduction in river velocity (Yi et al., 2017; Tang et al., 2018). Coarse particles deposit easily, whereas fine particles can travel long distances downstream. Since fine particles typically have a higher capacity for adsorption than coarse particles (Pan et al., 2013), the total nitrogen and organic carbon in the sediment would increase from upstream to downstream of the reservoir. Meanwhile, slower flow rates caused by damming can limit sediment sliding and suspension violently, reducing the release of nutrients from sediments in reservoirs (Van Cappellen and Maavara, 2016).

Reservoir construction can also result in vertical thermal stratification because the density gradient of reservoir water formed by solar heating on the surface effectively prevents the water temperature from mixing (Noori et al., 2021). Thermal stratification indirectly affects the dissolved oxygen (DO) content (Winton et al., 2019). In short, hydrodynamic weakening of the reservoir area causes water temperature and DO stratification, affecting biological reactions.

Sediment retention and thermal stratification in reservoirs can further affect the cyclic nutrient transformation and change the trophic status of the river system, which presents both benefits and drawbacks for the trophic condition of river systems. Nutrient retention after dam construction can benefit the receiving water by reducing the risk of eutrophication in downstream areas; however, it increases the risk of eutrophication in the reservoir (Maavara et al., 2020a). To manage river nutrients, it is crucial to understand how damming affects the four fundamental nutrients—N, P, Si, and C.

Variation in nitrogen cycling in reservoirs

Nitrogen is an important nutrient in river systems. Nitrogen transformation and transport processes include ammonification, nitrification, nitrogen fixation, denitrification, decomposition, and organic nitrogen synthesis (Kreiling et al., 2021; Zhou et al., 2022). The biogeochemical cycle of nitrogen is influenced by dam construction, especially in terms of nitrogen flux and concentration (Nair and Yu, 2020).

Atmospheric deposition, upstream inflow, and biological nitrogen fixation are the major sources of nitrogen input in reservoirs (Jankowski et al., 2012; Horvath et al., 2013). The percentage of atmospheric deposition that contributes to the nitrogen load in reservoirs changes with the climatic rainfall and is higher during rainy seasons (Liu et al., 2019). Agricultural discharge is the dominant source of upstream inflow. Nitrogen fixation (conversion of N2 to NH4+)—the only biological way of nitrogen generation— contributes to 39–47% of the nitrogen in the water column inside the reservoir (Maavara et al., 2020a). Runoff and gaseous emissions constitute the majority of the nitrogen transported out of reservoirs. Ammonia volatilization and denitrification are two of these gaseous emissions (Wei et al., 2022). The nitrogen flux from the water was found to be greatly reduced after passing through a reservoir (Wollheim et al., 2008). According to Harrison et al., in the mid-1990s, global reservoirs eliminated 464 Gmol N annually (Harrison et al., 2009; Harrison et al., 2010; Van Cappellen and Maavara, 2016). Denitrification, the major nitrogen removal mechanism in reservoirs, contributes to approximately 58–59% of the total removal (Zhu et al., 2022).

Reservoir development alters nitrogen fluxes and changes the reactive rate of nitrogen. For instance, the dam construction in recent years has significantly enhanced the nitrogen fixation in reservoirs, increasing the primary production and rate of nitrification and nitrogen assimilation in reservoirs (Cook et al., 2010; Grantz et al., 2014). The three nitrogen biogeochemical processes of the reservoir (Figure 1)—ammonification, nitrification, and denitrification have a significant impact on river ecosystems. Damming increases the nitrogen concentration in reservoirs through nitrogen retention and fixation, ultimately resulting in eutrophication (Moutinho et al., 2021). However, changes in the N:P ratio can reduce the N limitation in receiving water. According to Akbarzadeh (Akbarzadeh et al., 2019), dams increase the ratio of N:P in rivers globally due to nitrogen fixation in reservoirs, reducing N limitation in water (Ramirez-Zierold et al., 2010; Molisani et al., 2013). The decrease in the nitrogen concentration in water due to denitrification and burial in reservoirs makes nitrogen one of the main variables limiting the primary productivity in water (Hamilton et al., 2001; Galloway, 2005; Vanni et al., 2011; Bi et al., 2017). Therefore, understanding the beneficial and detrimental effects of the various biological actions of nitrogen is crucial for identifying and addressing the issues of nutrient balance in the water column.

FIGURE 1
www.frontiersin.org

Figure 1 Biogeochemical transformation mechanism of nitrogen in a reservoir. DON:dissolved organic nitrogen; PON:particle organic nitrogen; DIN:dissolved inorganic nitrogen.

The third most long-lived GHG is N2O; therefore, climate change is largely impacted by massive N2O production. Reservoirs significantly increase GHG emissions because N2O can be produced during denitrification (Hansen et al., 2016). Globally, natural lakes and reservoirs produce 4.5 ± 2.9 Gmol N2O per year (Zhang L. et al., 2022), and reservoirs account for nearly 50% of all fluxes, although the area of reservoirs only makes up 9% of all standing water. Additionally, after reservoir construction, the riparian zone often declines as the water level rises, which may result in an expansion of the denitrification zone for the same magnitude of water level variation (Thouvenot-Korppoo et al., 2009; Turner et al., 2016). Moreover, damming causes fluctuations in reservoir water levels, which alternates between wet and dry cycles (Shi et al., 2020a) and introduces nitrate to the riparian surface. This cyclic dry-wet process can significantly accelerate the riparian denitrification process by controlling oxygen infiltration, nitrogen substrate, and carbon availability (Ranalli and Macalady, 2010; McPhillips and Walter, 2015; Wang et al., 2018).

Variation in phosphorus cycling in reservoirs

Sources of P are divided into natural and anthropogenic parts. Natural sources are mainly phosphate rocks, which enter the water cycle through erosion and weathering. Anthropogenic sources are further divided into point and non-point sources, such as domestic sewage discharge and agricultural fertilizers (Smith and Schindler, 2009; Huang et al., 2015). The transport and transformation of P (Figure 2) in reservoirs mainly include sediment adsorption, desorption, and resuspension processes, the transformation between different phases (water-particle-sediment), assimilation and absorption of organisms, and release from decomposition, all of which determine the form and distribution of P (Withers and Jarvie, 2008). Adsorbed P moves with suspended sediment particles, whereas dissolved P is transported by convective diffusion (Huang et al., 2015). Adsorbed P may accumulate on the riverbed surface due to sediment deposition and then be released during sediment re-suspension.

FIGURE 2
www.frontiersin.org

Figure 2 Migration and transformation processes of phosphorus in a reservoir.

Reservoir construction changes hydrological and environmental conditions, making it difficult to understand how P would be transported, transformed, and retained in rivers. The transport of P involves various physical and chemical processes, such as convective diffusion, adsorption-desorption, and deposition-resuspension (Figure 2). However, damming slows down the flow rate of water, causing the P adsorbed by particles to settle and sediment easily, increasing P retention in reservoirs, and thereby reducing the downstream flux of P (Teodoru and Wehrli, 2005; Harrison et al., 2010). Vertical physicochemical and biological stratification phenomena further change P forms (Friedl and Wuest, 2002). For instance, thermal stratification leads to anaerobic conditions in the bottom layer of reservoir, which facilitate the release of sediment P. Since reservoirs are mostly drained from the bottom layer, it will result in the leakage of high concentrations of P in downstream of dam (Wang et al., 2009; Keitel et al., 2016).

Generally, P retention is significantly increased by reservoir construction. Because the reservoir has a large area of stable water, it reduces the flow of the river and traps a large amount of P. Based on previous studies, the reservoir dams in the upper Seine River watershed in France retained 60% of the phosphate adsorbed by sediment particles and benthic organisms (Yan et al., 2021). According to comparative studies of river networks in the midwest of the United States, the yearly flux of total P in downstream water decreased by approximately 20% after reservoir construction (Powers et al., 2015). With more dams and reservoirs being built, P retention in rivers continues to increase globally. Due to the surge in dam construction, the total P (TP) roughly doubled between 1970 and 2000, making up 12% of the global river TP load (Filippelli, 2008; Maavara et al., 2015).

Although reservoirs can serve as P sinks and reduce nutrient loading into the receiving waters downstream, P accumulates in the sediment as the reservoir’s operation time increases. In summer flood conditions, the bottom sediment is easily eroded, and P is released into the overlying water, causing serious environmental problems (Huang et al., 2015). In addition, reservoir retention can reduce the downstream pollution load; however, in rivers with lower nutrient levels, it may lead to nutrient depletion in the downstream areas. For example, Sweden’s most severely dammed and reservoir-regulated river, the Lulealven River, exhibits a progressive decline in P export, endangering primary productivity downstream (Humborg et al., 2002).

Variation in silicon cycling in reservoirs

Silicon is a crucial biogenic component of various freshwater aquatic species, particularly diatoms. The primary limiting element in many aquatic systems is Si despite its abundance (Koszelnik and Tomaszek, 2008; Tavernini et al., 2011) because the majority of Si is bound as quartz and silicate minerals, making it difficult for living organisms to utilize (Cornelis et al., 2011; Durr et al., 2011). The predominant form of biogenic dissolved Si in river systems is H4SiO4 (Maavara et al., 2018). It is critical to understand the riverine Si cycle because diatoms contribute to 25% of the primary productivity of water and 40% of the primary productivity of oceans (Triplett et al., 2008).

The main sources of Si in reservoirs are river inflows, rock weathering, and sediment erosion in bedrock aquifers. Besides, groundwater is also a major path for Si transport to surface waters (Maavara et al., 2018). Reactive Si enters the reservoir in two different states: dissolved and particulate. Dissolved reactive Si (DSi) entirely consists of Si hydroxide (H4SiO4) or monomeric silica. In contrast, particulate reactive Si (PSi) contains all Si associated with particles and may be dissolved before being removed by burial in bottom sediments or river outflow. Although solid phases, such as quartz and silicate minerals, are not bioavailable, once they enter the reservoir, a portion of the particulate Si may be dissolved to produce extra DSi. The pool of active particulate Si in reservoirs is further increased by the transformation of dissolved Si into biogenic Si by organisms, such as diatoms and riparian plants (mostly diatoms) (Mosseri et al., 2005; Sauer et al., 2006). Biogenic Si (BSi) is composed of silica with protective organic matter. When organic matter degrades, soluble BSi is converted to DSi, while insoluble BSi is exported downstream or buried in reservoir sediments (Loucaides et al., 2012). Details of the Si cycling process within the reservoir are shown in Figure 3. Compared to PSi, sediment silicon (SSi) has a substantially lower dissolution rate constant, and as a result, reactive PSi diminishes quickly, that is, aging occurs. The insoluble part of the SSi is permanently removed by burial in the reservoir sediments. Therefore, the total Si retention is the sum of the exogenous active Si and the interactions between the dissolution and retention of BSi and the PSi formed in reservoirs (Teodoru et al., 2006; Jansen et al., 2010).

FIGURE 3
www.frontiersin.org

Figure 3 Circulation process of silicon in a reservoir. DSi, dissolved reactive silicon; SSi, sediment silicon; PSi, particulate reactive silicon; BSi, biogenic silicon.

Silicon is easily trapped in reservoirs (Syvitski et al., 2005). Silicon retention primarily occurs in the transition zone between the rivers and reservoirs (Mugidde et al., 2003). In Diefenbaker Lake in Saskatchewan, the retention of dissolved Si is approximately 28% of the inflow (Koszelnik and Tomaszek, 2008). Dams typically sequester 20% of the active Si that is added to reservoirs (Znachor et al., 2013). Globally, reservoirs store 5.3% of the active Si in the basin. Rivers, lakes, and coastal areas are among the many aquatic habitats whose ecology and health are significantly influenced by Si (Garnier et al., 2010; Tavernini et al., 2011). Compared with nitrogen and phosphorus, Si is more crucial for the growth of phytoplankton and the health of aquatic ecosystems. However, because of dam construction, Si is retained in the reservoir, reducing Si flux into the ocean and affecting coastal productivity owing to Si limitation (Maavara et al., 2020a). As a result, we should pay more attention to how humans have altered river systems, particularly how the construction of dams affects Si cycling and biological processes at all scales, from the river basin to the global level (Hartmann et al., 2011).

Variation in carbon cycling in reservoirs

The increasing atmospheric CO2 concentrations have led to increased global warming in the 21st century (Cole et al., 2007). Climate change affects the hydrological cycle and water quality, and global warming is playing an increasingly important role in aquatic systems. Reservoirs constantly produce methane and carbon dioxide, which may exacerbate global warming (Glibert, 2012). Whether reservoirs serve as sources or sinks of GHGs has been hotly debated. To control global C balance, it is crucial to understand the profound modifications caused by damming (Mendonca et al., 2012; Grill et al., 2015).

Reservoir construction initially causes an increase in GHG emissions and later causes eutrophication in downstream areas. After damming, carbon retention in the reservoir begins, leading to an increase in the primary productivity of the reservoir (Figure 4). As primary productivity increases, the production of CH4 by microbes also increase. Therefore, eutrophic reservoirs often have higher CH4 emissions than oligotrophic reservoirs (Deemer et al., 2016). Tropical reservoirs typically emit more gaseous C than temperate reservoirs because of their larger surface area, higher soil organic C content, and warmer water temperatures (Fearnside, 2002; Abril et al., 2005; Kemenes et al., 2011; Colas et al., 2020). Over time, long-term sediment buildup in aging reservoirs may increase nutrients downstream, which could result in large-scale hazardous algal blooms (HABs) (Justic et al., 2002; Paerl et al., 2006; Fox and Ford, 2016; Fernandez-Alias et al., 2022; Liu et al., 2022).

FIGURE 4
www.frontiersin.org

Figure 4 Circulation process of carbon in a reservoir. DOC, dissolved organic carbon; POC, particle organic carbon; DIC, dissolved inorganic carbon.

Compared with natural rivers, C in reservoirs shows a greater spatial and temporal variation (Han et al., 2018) due to thermal stratification, increased primary productivity, and the discharge of reservoir bottom water. Thermal stratification in the reservoir water causes differences in factors such as vertical illumination, DO, and nutrients (Winton et al., 2019). The differences in the environment provide the conditions for chemical and biological stratification. Increased photosynthesis results in higher particle organic carbon (POC) concentrations and lower CO2 (aq) concentrations in the reservoir surface water, whereas the increase in biological activity and organic C mineralization results in higher CO2 (aq) concentrations in the reservoir bottom water. As a result, the CO2 concentrations in the water released from the bottom of the reservoir to downstream areas are higher (Sugiyama et al., 2004; Kim et al., 2006; Stimson et al., 2017). In addition, seasonal changes in water levels may cause higher GHG emissions through repeated wetting and drying cycles. After dam removal, sediments with abundant organic matters and frequent water-level changes may also be hotspots for GHG emissions. According to previous studies, CO2 emissions after dam removal will be nine times higher than the reservoir’s initial emissions after the dam was built for 100 years (Pacca, 2007). Therefore, multi-objective optimization is advised to increase power generation while guaranteeing minimal GHG emissions for diverse basin features.

Nutrient ratio

Although reservoirs have a retention effect on all four major nutrients, different retention efficiencies can change the stoichiometric ratio of nutrients, leading to different nutrient limitations and ultimately affecting the trophic status of the reservoirs. According to Maavara et al., in 2000, dams retained an average of 21% of biogenic silica, 43% of reactive phosphorus, and 35.5% of total nitrogen (Maavara et al., 2014; Maavara et al., 2020a). Reservoir construction modifies the quantity of biogenic material entering downstream and changes the nutrient ratios because reservoirs preferentially eliminate phosphorus and nitrogen and are more effective at retaining phosphorus than nitrogen (Calic et al., 2013). In freshwater, phosphorus is frequently considered as the limiting element, whereas nitrogen is considered as the limiting element in coastal and marine environments (Elser et al., 2022). Nowadays, fertilizer and wastewater discharge lead to N and P enrichment, and the removal of Si-rich plants during deforestation and agricultural production, combined with the effects of dam construction, is likely to result in significantly higher N: Si and P: Si ratios than before, contributing to Si limitation downstream, which may cause downstream eutrophication and promote the growth of harmful algae (Struyf et al., 2010; Clymans et al., 2011).

The trophic dynamics and biogeochemical processes are fundamentally coupled. The imbalances in stoichiometric ratios of various elements (C, N, P, Si, etc.) caused by damming lead to short- and long-term consequences on ecosystems, from altering primary productivity to breaking water homeostasis (Vitousek et al., 2010). For instance, the structure of the phytoplankton community changes, and harmful algae may become the dominant species if the ratio of DSi and dissolved inorganic nitrogen (DSi : DIN)< 1 in reservoir water (Lane et al., 2004; Zervoudaki et al., 2009), causing risks to the aquatic environment. Consequently, ecosystem modifications can affect the recycling of nutrients in reservoirs. The nutrient cycle can also be altered by changing the physical characteristics of the habitat, such as turbidity, flux, light, oxygen, pH, and substrate availability (Glibert et al., 2011; Gao et al., 2012). For instance, in eutrophic reservoirs, an increase in algal productivity causes a decrease in DO, which may affect N and P cycling (Glibert, 2012; Wurtsbaugh, 2020).

A management approach that considers various nutrients must be devised to control nutrients effectively. After 37 years of research in an experimental lake, it has been determined that a single nutrient removal approach can cause the ecosystem to become stoichiometrically unbalanced (Schindler et al., 2008). Control of either N or P is ineffective in controlling algal blooms; a joint control of these nutrients is essential for effectively managing eutrophication. Leiblich’s minimum law and Redfield stoichiometry are the salt restriction parameters for the eutrophication of water, which must be considered for any specific management (Klausmeier et al., 2008; Allen and Gillooly, 2009; Mebane et al., 2021).

Influence factors of damming on nutrient cycles

Influence of river location and connectivity

Location is the most crucial physical parameter for evaluating water flow, connectivity, and shape (Schmadel et al., 2018). The hydrological characteristics of a river, such as flux and velocity, are largely determined by the location of the river network. It influences environmental factors, such as water temperature, DO, and hydraulic residence time, and ultimately affects nutrient cycling (Lautz and Fanelli, 2008). A key assurance that water, organisms, nutrients, and energy can flow throughout the river environment is the integrity of the river’s connectivity (Grill et al., 2019). For instance, the level of connectivity of a river network can influence the variability in nitrogen removal. Figure 5 depicts the combined factors affecting the migration and transformation of nutrients. In terms of connectivity, lower connectivity means less N elimination, so downstream N transport will be greater. Reservoirs that are well-connected would remove more nitrogen because these reservoirs are more likely to be well-mixed and can remove nitrogen more effectively (Worman and Kronnas, 2005). This is because the control of nutrient levels greatly depends on the shape of the reservoir, particularly its surface area (Seitzinger et al., 2002). Changes in nutrient elements further affect biological processes; therefore, it is necessary to study the location and connectivity of reservoirs.

FIGURE 5
www.frontiersin.org

Figure 5 The influence of river hydrological factors on the migration and transformation of nutrients. HRT, hydraulic retention time.

Influence of storage capacity and hydraulic residence time

An increase in hydraulic retention time (HRT) is one of the most significant hydrological alterations caused by damming (Messager et al., 2016). Studies have shown that after the construction of a reservoir, the HRT may grow to months or even years (Prairie et al., 2018). Hydraulic retention time is frequently referred to as the “master variable,” which regulates biogeochemical reactions.

The water depth and HRT are not the same because the reservoir’s size (reservoir capacity) and hydraulic load are not equal. Typically, there is a positive correlation between nutrient retention and the HRT of reservoirs. This is mainly because seasonal thermal stratification is more pronounced in reservoirs with longer HRT. Significant chemical and biological stratification are altered by significant thermal stratification, which impacts primary productivity (Liu et al., 2012) and further changes the nutrient cycling within the reservoir (Van Cappellen and Maavara, 2016). The HRT in large reservoirs is often longer than those in small reservoirs, leading to a higher nutrient retention efficiency in large reservoirs.

However, according to other studies, reservoirs with short HRT may have abnormally high biogeochemical reactivity per unit area or time. An inverse link between HRT and the elimination rates of TP, TN, nitrate, and phosphate was discovered in more than 200 small reservoirs (Hejzlar et al., 2009). It is hypothesized that as the volume of the reservoir decreases, the contact area between the sediment and water increases, thereby increasing the nutrient retention efficiency.

Extensive research has shown that the HRT in reservoirs is an important first-order predictor (Maavara et al., 2020b). Increases in nutrient (N, P, Si, and C) retention are generally predicted by increases in the HRT. For instance, Akbarzadeh et al. claimed that a positive correlation could be found between the average HRT of the reservoir and its apparent net nitrogen removal efficiency, which is defined as the difference between the annual flux of N carried with the river inflow and the flux of N flowing out through the dam (Grantz et al., 2014; Akbarzadeh et al., 2019). With respect to phosphorus, the function of HRT is more pronounced. In reservoirs with longer HRTs, particle sedimentation of adsorbed phosphorus increases and algae and bacteria further consume dissolved phosphorus. In contrast, phosphorus retention is lower in new reservoirs without a buffer plant zone (Suchowolec and Gorniak, 2009). When hydropower stations generate electricity, they must discharge floods for safety; therefore, the HRT will be much shorter than that of reservoirs. This explains why an increasing number of dams do not increase the retention of P. Silicon and HRT also have a similar relationship. The DSi retention efficiency is significantly and negatively correlated with both the average reservoir depth and hydraulic load (the hydraulic load is negatively correlated with HRT) (Maavara et al., 2014). Similarly, the ability of reservoirs to retain and remove C is strongly related to its HRT. When HRT increases, the release rate of methane gas increases (Zhang et al., 2020). The longer the reservoir HRT, the lower the flow velocity, and thus, the better the sunlight mineralization in shallow waters with dissolved organic carbon (DOC)-rich mineral complexes. Moreover, the greater contact between water and the riverbed allows the complete decomposition of the DOC-rich material into carbon dioxide and methane gas (Prairie et al., 2018). Following a review of the literature, the HRT and retention of the four fundamental nutrients were gathered. The fitting curves showing the link between HRT and nutrient retention efficiency are shown in Figure 6.

FIGURE 6
www.frontiersin.org

Figure 6 The graph names in order: (A): Fitting curve of HRT and nitrogen removal efficiency (R2 = 0.92, P = 0.96); (B): Fitting curve of HRT and phosphorus removal efficiency (R2 = 0.96, P = 0.98); (C): Fitting curve of HRT and silicon removal efficiency (R2 = 0.91, P = 0.96); (D): Fitting curve of HRT and methane gas emission rate (water depth = 3m) (Data are from Li et al., 2018; Maavara et al., 2020b).

The nutrient load and ratio are also controlled by HRT. Under most conditions, P is often removed from reservoirs more effectively than N and Si (Boesch, 2002; Howarth and Marino, 2006; Schaefer and Alber, 2007). The dominance of P retention in freshwater systems or the simplicity of adsorption of dissolved phosphorus to mineral surfaces may be the driving mechanisms for the preferential removal of P in reservoirs (Maranger et al., 2018). The removal of Si can be more effective than those of P and N at an HRT of less than 50 days (Barrera-Herrera et al., 2020). For instance, Si retention (72% DSi and 16% BSi) occurred before P retention (50%) in the Three Gorges Reservoir with an HRT of 27 days (Boesch, 2002; Ran et al., 2013; Huang et al., 2015). Under short HRT conditions, Si elimination may be prioritized because of the ability of diatoms to establish communities more quickly than other phytoplankton communities (Paerl et al., 2006).

Influence of hydropower development mode (single or cascade reservoirs)

Cascade reservoirs can jointly control flows, so the water level fluctuation is smaller than that of a single reservoir (Shi et al., 2020b); however, cascade reservoirs cause higher nutrients and water retention. The retention of N, P, and Si within cascade reservoirs is cumulative (Descloux et al., 2017). For example, cascade hydropower development reduced the output of TP in the Yellow River basin by approximately 84% (Ouyang et al., 2011). The numerous dams and reservoirs built in the upper Yangtze River basin, particularly after the construction of the Three Gorges Dam, have reduced the delivery of TP to the middle and lower basins by 77% (Zhou et al., 2013). The retention of reactive P in Luxembourg’s terrace dams increases progressively after passing through each dam (Salvia-Castellvi et al., 2001). Currently, research on the cumulative effects of cascades is insufficient, which is an urgent problem to solve.

Global warming is accelerated by the construction of cascade reservoirs around rivers. Methane and carbon dioxide emissions from cascade hydropower were measured by Shi et al. in Lancang River (Shi et al., 2017). The results showed that the CH4/CO2 ratio of the first reservoir (0.023) was higher than those of the other reservoirs. The comparatively higher nutrient retention in the first reservoir has the potential to cause eutrophication, which introduces exogenous organic carbon into the sediment. This potentially amplifies the warming potential of the first reservoir (Shi et al., 2017). Another study on nitrous oxide emissions from heavily dammed cascade hydropower stations in the upper Mekong River using a thin boundary layer model reached similar conclusions (Shi et al., 2020b). Thus, greater attention should be paid to GHG emissions from the first reservoir of cascade reservoirs, and methods should be adopted to reduce the potential for global warming (Wei et al., 2022).

Influence of microbial community variation

As key drivers of biogeochemical cycles, riverine microbes are essential for biogeochemical cycles that influence energy transport, food chain transmission, and water self-purification (Kuypers et al., 2018; Sohrt et al., 2019). In aquatic environments, some microorganisms play important roles in nutrient removal. For instance, Aspergillus is crucial to the metabolism of carbon and nitrogen (Hou et al., 2018). Actinobacteria are essential for nitrification, denitrification, and organic carbon decomposition (Droppo et al., 2016). Bacteroides are primarily responsible for the nitrification and degradation of organic matter (Wu et al., 2018).

Because microorganisms are involved in many significant biogeochemical reactions, it is critical to understand the effects of dams on microbial succession and environmental driving factors (Hanson et al., 2012; Ren et al., 2017). Environmental factors have a significant impact on the composition and function of microbial communities (Shade et al., 2012; Brasell et al., 2021). According to a study on the relationship between plankton and nutrients in regulating reservoirs of the South-North Water Diversion Project, temperature, DO, pH, chlorophyll-a, TP, nitrate, and ammonia nitrogen significantly influence the bacterial community and functional composition of water (Zhou et al., 2020). After reservoir construction, stratification changes the distribution of physical characteristics (temperature, DO), which may result in the formation of vertical nutrient (TDP, NH4+, etc.) gradients and alter the structure of the microbial communities. This results in spatial heterogeneity of bacterial communities under reservoir stratification (Yu et al., 2014; Yang et al., 2015; Xue et al., 2017). Furthermore, reservoir construction changes the riverine aquatic ecology from a “riverine” heterotrophic system to a “lacustrine” autotrophic system dominated by plankton (Thomson et al., 2005). In addition, the photosynthetic ability of planktonic bacteria is improved by the lower turbidity and higher light transmission in the surface water, which leads to the increase of planktonic bacteria over time, further strengthening the “lake-type” autotrophic system (Saito et al., 2001).

The enrichment of nutrients within the reservoir converts biological activity into a crucial element that can speed up material cycling, especially during the warm season. After the impoundment of the Wujiangdu reservoir in the upper reaches of the Wujiang River, it has been claimed that the biogeochemical cycle of carbon has been enhanced and that there has been a large increase in phytoplanktonic bacterial biomass (Han et al., 2018). However, because of the change in nutrient contents over time, the nutrients that control phytoplankton development can change over time (Paerl et al., 2011; Teixeira et al., 2018), and microbial communities can exhibit patterns that are harmful to the river’s aquatic ecosystem. For instance, unlike phosphorus limitation in spring, the water in summer is nitrogen-limited, and the temperature is more favorable for algal growth (Paerl et al., 2014; Bullerjahn et al., 2016). With the growth of algae, the turbidity of water increases, promoting hypoxia in deeper areas of the lake and impacting riverine ecosystems (Feist et al., 2016). Therefore, it is critical to pay close attention to changes in the microbial community, particularly the development of hazardous algae such as cyanobacteria that frequently cause water blooms.

Influence of anthropogenic nutrient input

Phosphorus export is directly affected by anthropogenic phosphorus sources, sewage treatment, and dam building (Powers et al., 2016). In addition to reservoir construction activities, exogenous pollution inputs from human activities also greatly affect nutrient transport and balance—major factors influencing the ecological health of rivers and nutrient cycling. Reservoirs retain nutrients, but the increase in nutrient flux caused by anthropogenic discharge still exceeds the amount retained after damming (Sun et al., 2022). For example, reservoir retention can significantly reduce P exports to downstream areas and coastal zones. However, P retention by reservoirs does not always result in a reduction in P export from the watershed. Instead, exports may increase because of the significant influence of anthropogenic P sources (Kumar et al., 2022). Moreover, exogenous input changes the proportion of nutrients available in different forms. In the Yangtze River, between 1970 and 2010, dissolved P export increased ten times, but a 44% decline in TP export indicated a long-term decline in particulate P export (Powers et al., 2016).

When additional steps were taken to reduce exogenous inputs from anthropogenic discharges, the cycle of nutrients in the river significantly changed. For instance, the output of P decreased by 86% in the Thames after an improvement in sewage treatment efficiency (Haygarth et al., 2014). Due to the reduction of domestic sewage and industrial wastewater, the overall phosphorus loads in the Rhine decreased by more than six times between 1977 and 2005 (Van Nieuwenhuyse, 2007; Leuven et al., 2009). This indicates that river nutrient status can be improved by restricting anthropogenic external inputs or enhancing sewage treatment efficiency in addition to dam management to control nutrient status.

Countermeasures to reduce the impact of reservoir on nutrients

Dam construction has a significant impact on river ecosystems. This study focuses on two engineering solutions to lessen the effect of reservoirs on nutrients in watersheds where dam construction has disrupted the system. These are dam removal and tributary habitat replacement.

Dam removal

Because of the aging of building materials and the accumulation of sediments after water storage, dams are dismantled when they can no longer serve their intended purpose (Ding et al., 2019). Dams are rarely completely destroyed, but maintaining them can be expensive (Hansen et al., 2020). Therefore, dam removal is viewed as a realistic option when the expense of management is greater than the cost of removal (O'Connor et al., 2015), particularly in cases where there is a high possibility of river ecological restoration. So far, 3,450 dams have been taken down in Sweden, the United Kingdom and some other European countries (Moran et al., 2018).

Dam removal has two distinct effects. As depicted in Figure 7, removing dams offers the opportunity for the ecological restoration of the river (Doyle et al., 2003; Brown et al., 2022; Leisher et al., 2022). However, dam removal exposes and transports huge amounts of sedimentary pollutants accumulated in the reservoir to downstream areas because of the greater flow when the dam is dismantled. This causes an increase in N, P, and toxic pollution downstream (Hitt et al., 2012; Pess et al., 2014). For instance, the demolition of the Fort Edward Dam in 1973 led to the flow of sediments containing polychlorinated biphenyls downstream in New York (Ryan Bellmore et al., 2017). In addition, groundwater levels decrease because of reservoir runoff and dam removal (Inamdar et al., 2021). As a result of this decline, downstream streams become deeper and larger in cross-section, which has permanent effects such as stream bed degradation, stream surface depression, and erosion by nutrient-rich sediments (Stanley and Doyle, 2003). However, choosing not to dismantle dams does not guarantee that the nutrients are always retained in upstream reservoirs. When an aging dam remains in place, the removal efficiency of sediments and nutrients decreases over time. Therefore, weighing these risks and advantages is necessary to determine whether and how to remove a dam (Kirchherr and Charles, 2016; Bohrerova et al., 2017).

FIGURE 7
www.frontiersin.org

Figure 7 Two possible outcomes of dam removal. The red words in the figure show the cross-section areas that have changed after the dam removal, the green words show the riparian plant zone, and black particles represent sediment and nutrients.

Although people are becoming more conscious of the consequences of dam removal, the assessment and monitoring of river dam removal remain insufficient. According to Ryan Bellmore et al. (Ryan Bellmore et al., 2017), only 9% of the dams in the US had received a scientific evaluation before removal by the end of 2014. Pre-removal monitoring was conducted on a small percentage of dams, although it often lasted only one or two years. Post-removal monitoring was also scarce, with only a few dams observed for more than five years. However, it can take decades to observe an ecological response after dam removal (Beechie et al., 2010). To better manage river ecosystems, it is advised to consider five fundamental issues: goals of the river ecosystem, obstacles to achieving these goals, key issues of implementation, and the long-term effects of climate change and land and water management (Acreman, 2016).

Tributary habitat replacement

To strike a balance between the requirements for resource utilization and biodiversity conservation, emphasis should be placed on long-term ecological restoration and tributary habitat replacement. Tributary habitat replacement is one of the current environmental protection strategies for hydropower production (Nel et al., 2007). It has two definitions: (i) habitat replacement, which refers to replacing mainstream habitats with tributary habitats to provide suitable habitats for aquatic organisms impacted by mainstream development; (ii) alternative measures, which refer to tributary protection as alternative or complementary measures to the traditional protection measures for the mainstream, to alleviate the conflict between mainstream development and in-situ conservation of mainstream ecosystems (Caissie and Smith, 2022). As shown in Figure 8, the introduction of tributaries not only increases biological exchange and migratory species in the land-water connection zone, but also reduces HRT and sediment transport. This leads to better river conditions after several decades.

FIGURE 8
www.frontiersin.org

Figure 8 Influence of tributary habitat replacement on the ecosystem of the mainstream.

Currently, many ecosystem evaluations are based exclusively on major rivers and ignore the conservation potential of their important tributaries. However, these tributaries typically represent the same type of ecosystem with better conditions. Some river ecosystems between the main rivers and tributaries are considered to be less dangerous when tributaries are taken into account in ecosystem assessments, demonstrating the value of tributaries in maintaining biodiversity (da Silva et al., 2019). Downstream tributaries play a significant role in restoring rivers to a more “natural” state by offering a more suitable source of sediments and better water flow.

Protecting aquatic organisms in tributary habitats can compensate for affected mainstream habitats and balance development and conservation between the mainstream and tributaries (Poff et al., 2007; Ribeiro et al., 2022). Tributaries have successfully mitigated the negative effects of damming. The import from tributaries has reduced nutrient loading, successfully controlling cyanobacterial blooms that once plagued Portugal (Chicharo et al., 2006). Four tributaries in the upper Hun River, a significant water supply for the Dayefang Reservoir in northeastern China, are the main controls for lowering nitrogen loading (Ma et al., 2015). The overall discharge of DOC into the receiving water can be decreased via tributary diversions (Rohlfs et al., 2016). In addition, in the Tennessee Valley, the protection of tributaries for dam management improved downstream DO and biodiversity (Bednarik et al., 2017).

Conclusion

This review evaluated the direct impact of damming on hydro-physical factors, such as the river water flux and velocity, which further influences the balance of the fluxes of the main nutrients (N, P, Si, and C). Due to the changes in nutrient concentrations, the magnitude of the stoichiometric ratios of different nutrients is altered, which in turn induces the risk of eutrophication in reservoirs and the oligotrophication of downstream waters. In addition, damming leads to an increase in the emission of GHGs and thus worsens global warming, especially in cascade reservoirs.

In addition, the impact of reservoirs on nutrient cycling is mainly influenced by river connectivity, HRT, hydropower development mode, microbial community, and anthropogenic nutrient input. Dam retention restricts the movement and exchange of water, organisms, nutrients, and energy throughout the river environment. HRT is significantly positively correlated with nutrient retention, which causes higher retention of water and nutrients in cascade reservoirs than in single reservoirs. Furthermore, exogenous inputs from human activities have a significant impact on nutrient transport and balance. Under the influence of damming, changes in the spatial and temporal succession of microbial communities influence microbial functions related to nutrient cycling, further affecting nutrient transport and transformation. Two typical engineering solutions—dam removal and tributary habitat replacement—are suggested to reduce the negative effects of reservoirs on river ecosystems. However, compared to dam removal, tributary habitat replacement is a better option for balancing resource utilization and protecting biodiversity. Future investigations are required on 1) changes in nutrient cycling in cascade reservoirs, 2) GHG discharge from cascade reservoirs, and 3) prospects for tributary habitat substitution.

Author contributions

XW performed the conceptualization, writing, supervision, and funding acquisition. YC contributed to the methodology, formal analysis, and writing. QY and XX performed methodology and writing. BH, JG, YZ, and YL carried out the writing. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (42007149, 92047201, 92047303).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abril G., Guerin F., Richard S., Delmas R., Galy-Lacaux C., Gosse P., et al. (2005). Carbon dioxide and methane emissions and the carbon budget of a 10-year old tropical reservoir (Petit saut, French Guiana). Global Biogeochemical Cycles 19 (4), GB4007. doi: 10.1029/2005gb002457

CrossRef Full Text | Google Scholar

Acreman M. (2016). Environmental flowsbasics for novices. Wiley Interdiscip. Reviews-Water 3 (5), 622–628. doi: 10.1002/wat2.1160

CrossRef Full Text | Google Scholar

Akbarzadeh Z., Maavara T., Slowinski S., Van Cappellen P. (2019). Effects of damming on river nitrogen fluxes: A global analysis. Global Biogeochemical Cycles 33 (11), 1339–1357. doi: 10.1029/2019gb006222

CrossRef Full Text | Google Scholar

Allen A. P., Gillooly J. F. (2009). Towards an integration of ecological stoichiometry and the metabolic theory of ecology to better understand nutrient cycling. Ecol. Lett. 12 (5), 369–384. doi: 10.1111/j.1461-0248.2009.01302.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Atkins E. (2020). Contesting the 'greening' of hydropower in the Brazilian Amazon. Political Geogr. 80, 102179. doi: 10.1016/j.polgeo.2020.102179

CrossRef Full Text | Google Scholar

Barrera-Herrera J. A., Aranguren-Riaño N., Páez-Ruíz Y. M., Molina-Pacheco L. B., Pedroza-Ramos A., Díaz-Ballesteros C. A. (2020). Incidencia del tiempo de retención hidráulica en el plancton del reservorio la chapa (Santana, boyacá), Colombia. Rev. la Academia Colombiana Cienc. Exactas Físicas y Naturales 44 (171), 407–422. doi: 10.18257/raccefyn.1022

CrossRef Full Text | Google Scholar

Baumgartner L. J., Marsden T., Duffy D., Horta A., Ning N. (2022). Optimizing efforts to restore aquatic ecosystem connectivity requires thinking beyond large dams. Environ. Res. Lett. 17 (1), 014008. doi: 10.1088/1748-9326/ac40b0

CrossRef Full Text | Google Scholar

Bednarik A., Blaser M., Matousu A., Hekera P., Rulik M. (2017). ). effect of weir impoundments on methane dynamics in a river. Sci. Total Environ. 584, 164–174. doi: 10.1016/j.scitotenv.2017.01.163

PubMed Abstract | CrossRef Full Text | Google Scholar

Beechie T. J., Sear D. A., Olden J. D., Pess G. R., Buffington J. M., Moir H., et al. (2010). Process-based principles for restoring river ecosystems. Bioscience 60 (3), 209–222. doi: 10.1525/bio.2010.60.3.7

CrossRef Full Text | Google Scholar

Bi R., Ismar S., Sommer U., Zhao M. (2017). Environmental dependence of the correlations between stoichiometric and fatty acid-based indicators of phytoplankton nutritional quality. Limnology Oceanography 62 (1), 334–347. doi: 10.1002/lno.10429

CrossRef Full Text | Google Scholar

Boesch D. F. (2002). Challenges and opportunities for science in reducing nutrient over-enrichment of coastal ecosystems. Estuaries 25 (4B), 886–900. doi: 10.1007/bf02804914

CrossRef Full Text | Google Scholar

Bohrerova Z., Park E., Halloran K., Lee J. (2017). Water quality changes shortly after low-head dam removal examined with cultural and microbial source tracking methods. River Res. Appl. 33 (1), 113–122. doi: 10.1002/rra.3069

CrossRef Full Text | Google Scholar

Brasell K. A., Howarth J., Pearman J. K., Fitzsimons S. J., Zaiko A., Pochon X., et al. (2021). Lake microbial communities are not resistant or resilient to repeated large-scale natural pulse disturbances. Mol. Ecol. 30 (20), 5137–5150. doi: 10.1111/mec.16110

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown R. L., Thomas C. C., Cubley E. S., Clausen A. J., Shafroth P. B. (2022). Does large dam removal restore downstream riparian vegetation diversity? testing predictions on the elwha river, Washington, USA. Ecol. Appl. 32 (6). doi: 10.1002/eap.2591

CrossRef Full Text | Google Scholar

Bullerjahn G. S., McKay R. M., Davis T. W., Baker D. B., Boyer G. L., D'Anglada L. V., et al. (2016). Global solutions to regional problems: Collecting global expertise to address the problem of harmful cyanobacterial blooms. A Lake Erie Case study. Harmful Algae 54, 223–238. doi: 10.1016/j.hal.2016.01.003

CrossRef Full Text | Google Scholar

Caissie D., Smith A. (2022). Water temperature variability at culvert replacement sites and river thermal impacts related to the removal of an old sediment pond: application on the Barnet brook and a tributary of the nerepis river (New Brunswick, Canada). Environ. Monit. Assess. 194 (7), 470. doi: 10.1007/s10661-022-10117-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Calic M., Caric M., Krsinic F., Jasprica N., Pecarevic M. (2013). Controlling factors of phytoplankton seasonal succession in oligotrophic Mali ston bay (south-eastern Adriatic). Environ. Monit. Assess. 185 (9), 7543–7563. doi: 10.1007/s10661-013-3118-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Chicharo L., Chicharo M. A., Ben-Hamadou R. (2006). Use of a hydrotechnical infrastructure (Alqueva dam) to regulate planktonic assemblages in the guadiana estuary: Basis for sustainable water and ecosystem services management. Estuar. Coast. Shelf Sci. 70 (1-2), 3–18. doi: 10.1016/j.ecss.2006.05.039

CrossRef Full Text | Google Scholar

Clymans W., Struyf E., Govers G., Vandevenne F., Conley D. J. (2011). Anthropogenic impact on amorphous silica pools in temperate soils. Biogeosciences 8 (8), 2281–2293. doi: 10.5194/bg-8-2281-2011

CrossRef Full Text | Google Scholar

Colas F., Chanudet V., Daufresne M., Buchet L., Vigouroux R., Bonnet A., et al. (2020). Spatial and temporal variability of diffusive CO2 and CH4 fluxes from the Amazonian reservoir Petit-saut (French Guiana) reveals the importance of allochthonous inputs for long-term c emissions. Global Biogeochemical Cycles 34 (12), e2020GB006602. doi: 10.1029/2020gb006602

CrossRef Full Text | Google Scholar

Cole J. J., Prairie Y. T., Caraco N. F., McDowell W. H., Tranvik L. J., Striegl R. G., et al. (2007). Plumbing the global carbon cycle: Integrating inland waters into the terrestrial carbon budget. Ecosystems 10 (1), 171–184. doi: 10.1007/s10021-006-9013-8

CrossRef Full Text | Google Scholar

Cook P. L. M., Aldridge K. T., Lamontagne S., Brookes J. D. (2010). Retention of nitrogen, phosphorus and silicon in a large semi-arid riverine lake system. Biogeochemistry 99 (1-3), 49–63. doi: 10.1007/s10533-009-9389-6

CrossRef Full Text | Google Scholar

Cornelis J. T., Delvaux B., Georg R. B., Lucas Y., Ranger J., Opfergelt S. (2011). Tracing the origin of dissolved silicon transferred from various soil-plant systems towards rivers: a review. Biogeosciences 8 (1), 89–112. doi: 10.5194/bg-8-89-2011

CrossRef Full Text | Google Scholar

da Silva P. S., Miranda L. E., Makrakis S., de Assumpcao L., Dias J. H. P., Makrakis M. C. (2019). Tributaries as biodiversity preserves: An ichthyoplankton perspective from the severely impounded upper parana river. Aquat. Conservation-Marine Freshw. Ecosyst. 29 (2), 258–269. doi: 10.1002/aqc.3037

CrossRef Full Text | Google Scholar

Deemer B. R., Harrison J. A., Li S. Y., Beaulieu J. J., Delsontro T., Barros N., et al. (2016). Greenhouse gas emissions from reservoir water surfaces: A new global synthesis. Bioscience 66 (11), 949–964. doi: 10.1093/biosci/biw117

PubMed Abstract | CrossRef Full Text | Google Scholar

Descloux S., Chanudet V., Serca D., Guerin F. (2017). Methane and nitrous oxide annual emissions from an old eutrophic temperate reservoir. Sci. Total Environ. 598, 959–972. doi: 10.1016/j.scitotenv.2017.04.066

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding L., Chen L., Ding C., Tao J. (2019). Global trends in dam removal and related research: A systematic review based on associated datasets and bibliometric analysis. Chin. Geographical Sci. 29 (1), 1–12. doi: 10.1007/s11769-018-1009-8

CrossRef Full Text | Google Scholar

Doyle M. W., Harbor J. M., Stanley E. H. (2003). Toward policies and decision-making for dam removal. Environ. Manage. 31 (4), 453–465. doi: 10.1007/s00267-002-2819-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Droppo I. G., Krishnappan B. G., Lawrence J. R. (2016). Microbial interactions with naturally occurring hydrophobic sediments: Influence on sediment and associated contaminant mobility. Water Res. 92, 121–130. doi: 10.1016/j.watres.2016.01.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Durr H. H., Meybeck M., Hartmann J., Laruelle G. G., Roubeix V. (2011). Global spatial distribution of natural riverine silica inputs to the coastal zone. Biogeosciences 8 (3), 597–620. doi: 10.5194/bg-8-597-2011

CrossRef Full Text | Google Scholar

Elser J. J., Devlin S. P., Yu J., Baumann A., Church M. J., Dore J. E., et al. (2022). Sustained stoichiometric imbalance and its ecological consequences in a large oligotrophic lake. Proc. Natl. Acad. Sci. U.S.A. 119 (30). doi: 10.1073/pnas.2202268119

CrossRef Full Text | Google Scholar

Fearnside P. M. (2002). Greenhouse gas emissions from a hydroelectric reservoir (Brazil's tucurui dam) and the energy policy implications. Water Air Soil pollut. 133 (1-4), 69–96. doi: 10.1023/a:1012971715668

CrossRef Full Text | Google Scholar

Feist T. J., Pauer J. J., Melendez W., Lehrter J. C., DePetro P. A., Rygwelski K. R., et al. (2016). Modeling the relative importance of nutrient and carbon loads, boundary fluxes, and sediment fluxes on gulf of Mexico hypoxia. Environ. Sci. Technol. 50 (16), 8713–8721. doi: 10.1021/acs.est.6b01684

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernandez-Alias A., Montano-Barroso T., Conde-Cano M.-R., Manchado-Perez S., Lopez-Galindo C., Quispe-Becerra J.-I., et al. (2022). Nutrient overload promotes the transition from top-down to bottom-up control and triggers dystrophic crises in a Mediterranean coastal lagoon. Sci. Total Environ. 846, 157388. doi: 10.1016/j.scitotenv.2022.157388

PubMed Abstract | CrossRef Full Text | Google Scholar

Filippelli G. M. (2008). The global phosphorus cycle: Past, present, and future. Elements 4 (2), 89–95. doi: 10.2113/gselements.4.2.89

CrossRef Full Text | Google Scholar

Fox J. F., Ford W. I. (2016). Impact of landscape disturbance on the quality of terrestrial sediment carbon in temperate streams. J. Hydrology 540, 1030–1042. doi: 10.1016/j.jhydrol.2016.07.016

CrossRef Full Text | Google Scholar

Friedl G., Wuest A. (2002). Disrupting biogeochemical cycles - consequences of damming. Aquat. Sci. 64 (1), 55–65. doi: 10.1007/s00027-002-8054-0

CrossRef Full Text | Google Scholar

Gao Y., Cornwell J. C., Stoecker D. K., Owens M. S. (2012). Effects of cyanobacterial-driven pH increases on sediment nutrient fluxes and coupled nitrification-denitrification in a shallow fresh water estuary. Biogeosciences 9 (7), 2697–2710. doi: 10.5194/bg-9-2697-2012

CrossRef Full Text | Google Scholar

Garnier J., Beusen A., Thieu V., Billen G., Bouwman L. (2010). N:P:Si nutrient export ratios and ecological consequences in coastal seas evaluated by the ICEP approach. Global Biogeochemical Cycles 24, GB0A05. doi: 10.1029/2009gb003583

CrossRef Full Text | Google Scholar

Gilbert M. C., Akama A., Fernandes C. C., Albertson R. C. (2020). Rapid morphological change in multiple cichlid ecotypes following the damming of a major clearwater river in Brazil. Evolutionary Appl. 13 (10), 2754–2771. doi: 10.1111/eva.13080

CrossRef Full Text | Google Scholar

Glibert P. M. (2012). Ecological stoichiometry and its implications for aquatic ecosystem sustainability. Curr. Opin. Environ. Sustainability 4 (3), 272–277. doi: 10.1016/j.cosust.2012.05.009

CrossRef Full Text | Google Scholar

Glibert P. M. (2020). Harmful algae at the complex nexus of eutrophication and climate change. Harmful Algae 91, 101583. doi: 10.1016/j.hal.2019.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Glibert P. M., Fullerton D., Burkholder J. M., Cornwell J. C., Kana T. M. (2011). Ecological stoichiometry, biogeochemical cycling, invasive species, and aquatic food webs: San Francisco estuary and comparative systems. Rev. Fisheries Sci. 19 (4), 358–417. doi: 10.1080/10641262.2011.611916

CrossRef Full Text | Google Scholar

Grantz E. M., Haggard B. E., Scott J. T. (2014). Stoichiometric imbalance in rates of nitrogen and phosphorus retention, storage, and recycling can perpetuate nitrogen deficiency in highly-productive reservoirs. Limnology Oceanography 59 (6), 2203–2216. doi: 10.4319/lo.2014.59.6.2203

CrossRef Full Text | Google Scholar

Grill G., Lehner B., Lumsdon A. E., MacDonald G. K., Zarfl C., Liermann C. R. (2015). An index-based framework for assessing patterns and trends in river fragmentation and flow regulation by global dams at multiple scales. Environ. Res. Lett. 10 (1), 015001. doi: 10.1088/1748-9326/10/1/015001

CrossRef Full Text | Google Scholar

Grill G., Lehner B., Thieme M., Geenen B., Tickner D., Antonelli F., et al. (2019). Mapping the world's free-flowing rivers. Nature 569 (7755), 215–21+. doi: 10.1038/s41586-019-1111-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamilton S. K., Tank J. L., Raikow D. F., Wollheim W. M., Peterson B. J., Webster J. R. (2001). Nitrogen uptake and transformation in a midwestern US stream: A stable isotope enrichment study. Biogeochemistry 54 (3), 297–340. doi: 10.1023/a:1010635524108

CrossRef Full Text | Google Scholar

Hansen E., Chan K. S., Jones C. S., Schilling K. (2016). Assessing the relative importance of nitrogen-retention processes in a large reservoir using time-series modeling. J. Agric. Biol. Environ. Stat 21 (1), 152–169. doi: 10.1007/s13253-015-0218-1

CrossRef Full Text | Google Scholar

Hansen H. H., Forzono E., Grams A., Ohlman L., Ruskamp C., Pegg M. A., et al. (2020). Exit here: strategies for dealing with aging dams and reservoirs. Aquat. Sci. 82 (1), 2. doi: 10.1007/s00027-019-0679-3

CrossRef Full Text | Google Scholar

Hanson C. A., Fuhrman J. A., Horner-Devine M. C., Martiny J. B. H. (2012). Beyond biogeographic patterns: processes shaping the microbial landscape. Nat. Rev. Microbiol. 10 (7), 497–506. doi: 10.1038/nrmicro2795

PubMed Abstract | CrossRef Full Text | Google Scholar

Han Q., Wang B. L., Liu C. Q., Wang F. S., Peng X., Liu X. L. (2018). Carbon biogeochemical cycle is enhanced by damming in a karst river. Sci. Total Environ. 616, 1181–1189. doi: 10.1016/j.scitotenv.2017.10.202

PubMed Abstract | CrossRef Full Text | Google Scholar

Harrison J. A., Bouwman A. F., Mayorga E., Seitzinger S. (2010). Magnitudes and sources of dissolved inorganic phosphorus inputs to surface fresh waters and the coastal zone: A new global model. Global Biogeochemical Cycles 24, GB1003. doi: 10.1029/2009gb003590

CrossRef Full Text | Google Scholar

Harrison J. A., Maranger R. J., Alexander R. B., Giblin A. E., Jacinthe P. A., Mayorga E., et al. (2009). The regional and global significance of nitrogen removal in lakes and reservoirs. Biogeochemistry 93 (1-2), 143–157. doi: 10.1007/s10533-008-9272-x

CrossRef Full Text | Google Scholar

Hartmann J., Levy J., Kempe S. (2011). Increasing dissolved silica trends in the Rhine river: an effect of recovery from high p loads? Limnology 12 (1), 63–73. doi: 10.1007/s10201-010-0322-4

CrossRef Full Text | Google Scholar

Haygarth P. M., Jarvie H. P., Powers S. M., Sharpley A. N., Elser J. J., Shen J. B., et al. (2014). Sustainable phosphorus management and the need for a long-term perspective: The legacy hypothesis. Environ. Sci. Technol. 48 (15), 8417–8419. doi: 10.1021/es502852s

PubMed Abstract | CrossRef Full Text | Google Scholar

Hejzlar J., Anthony S., Arheimer B., Behrendt H., Bouraoui F., Grizzetti B., et al. (2009). Nitrogen and phosphorus retention in surface waters: an inter-comparison of predictions by catchment models of different complexity. J. Environ. Monit. 11 (3), 584–593. doi: 10.1039/b901207a

PubMed Abstract | CrossRef Full Text | Google Scholar

Hitt N. P., Eyler S., Wofford J. E. B. (2012). Dam removal increases American eel abundance in distant headwater streams. Trans. Am. Fisheries Soc. 141 (5), 1171–1179. doi: 10.1080/00028487.2012.675918

CrossRef Full Text | Google Scholar

Horvath H., Matyas K., Sule G., Presing M. (2013). Contribution of nitrogen fixation to the external nitrogen load of a water quality control reservoir (Kis-balaton water protection system, Hungary). Hydrobiologia 702 (1), 255–265. doi: 10.1007/s10750-012-1329-0

CrossRef Full Text | Google Scholar

Hou L. F., Zhou Q., Wu Q. P., Gu Q. H., Sun M., Zhang J. M. (2018). Spatiotemporal changes in bacterial community and microbial activity in a full-scale drinking water treatment plant. Sci. Total Environ. 625, 449–459. doi: 10.1016/j.scitotenv.2017.12.301

PubMed Abstract | CrossRef Full Text | Google Scholar

Howarth R. W., Marino R. (2006). Nitrogen as the limiting nutrient for eutrophication in coastal marine ecosystems: Evolving views over three decades. Limnology Oceanography 51 (1), 364–376. doi: 10.4319/lo.2006.51.1_part_2.0364

CrossRef Full Text | Google Scholar

Huang L., Fang H. W., Reible D. (2015). Mathematical model for interactions and transport of phosphorus and sediment in the three gorges reservoir. Water Res. 85, 393–403. doi: 10.1016/j.watres.2015.08.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Humborg C., Blomqvist S., Avsan E., Bergensund Y., Smedberg E., Brink J., et al. (2002). Hydrological alterations with river damming in northern Sweden: Implications for weathering and river biogeochemistry. Global Biogeochemical Cycles 16 (3), 1039. doi: 10.1029/2000gb001369

CrossRef Full Text | Google Scholar

Inamdar S., Peipoch M., Gold A. J., Lewis E., Hripto J., Sherman M., et al. (2021). Ghosts of landuse past: legacy effects of milldams for riparian nitrogen (N) processing and water quality functions. Environ. Res. Lett. 16 (3), 035016. doi: 10.1088/1748-9326/abd9f5

CrossRef Full Text | Google Scholar

Jankowski K., Schindler D. E., Holtgrieve G. W. (2012). Assessing nonpoint-source nitrogen loading and nitrogen fixation in lakes using delta n-15 and nutrient stoichiometry. Limnology Oceanography 57 (3), 671–683. doi: 10.4319/lo.2012.57.3.0671

CrossRef Full Text | Google Scholar

Jansen N., Hartmann J., Lauerwald R., Durr H. H., Kempe S., Loos S., et al. (2010). Dissolved silica mobilization in the conterminous USA. Chem. Geology 270 (1-4), 90–109. doi: 10.1016/j.chemgeo.2009.11.008

CrossRef Full Text | Google Scholar

Justic D., Rabalais N. N., Turner R. E. (2002). Modeling the impacts of decadal changes in riverine nutrient fluxes on coastal eutrophication near the Mississippi river delta. Ecol. Model. 152 (1), 33–46. doi: 10.1016/s0304-3800(01)00472-0

CrossRef Full Text | Google Scholar

Keitel J., Zak D., Hupfer M. (2016). Water level fluctuations in a tropical reservoir: The impact of sediment drying, aquatic macrophyte dieback, and oxygen availability on phosphorus mobilization. Environ. Sci. Pollut. Res. 23 (7), 6883–6894. doi: 10.1007/s11356-015-5915-3

CrossRef Full Text | Google Scholar

Kemenes A., Forsberg B. R., Melack J. M. (2011). CO2 emissions from a tropical hydroelectric reservoir (Balbina, Brazil). J. Geophysical Research-Biogeosciences 116, G03004. doi: 10.1029/2010jg001465

CrossRef Full Text | Google Scholar

Kim C., Nishimura Y., Nagata T. (2006). Role of dissolved organic matter in hypolimnetic mineralization of carbon and nitrogen in a large, monomictic lake. Limnology Oceanography 51 (1), 70–78. doi: 10.4319/lo.2006.51.1.0070

CrossRef Full Text | Google Scholar

Kirchherr J., Charles K. J. (2016). The social impacts of dams: A new framework for scholarly analysis. Environ. Impact Assess. Rev. 60, 99–114. doi: 10.1016/j.eiar.2016.02.005

CrossRef Full Text | Google Scholar

Klausmeier C. A., Litchman E., Daufresne T., Levin S. A. (2008). Phytoplankton stoichiometry. Ecol. Res. 23 (3), 479–485. doi: 10.1007/s11284-008-0470-8

CrossRef Full Text | Google Scholar

Koszelnik P., Tomaszek J. A. (2008). Dissolved silica retention and its impact on eutrophication in a complex of mountain reservoirs. Water Air Soil pollut. 189 (1-4), 189–198. doi: 10.1007/s11270-007-9567-x

CrossRef Full Text | Google Scholar

Kreiling R. M., Bartsch L. A., Perner P. M., Hlavacek E. J., Christensen V. G. (2021). Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments. Environ. Manage. 68 (2), 279–293. doi: 10.1007/s00267-021-01484-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar A., Mishra S., Bakshi S., Upadhyay P., Thakur T. K. (2022). Response of eutrophication and water quality drivers on greenhouse gas emissions in lakes of China: A critical analysis. Ecohydrology e2483. doi: 10.1002/eco.2483

CrossRef Full Text | Google Scholar

Kuypers M. M. M., Marchant H. K., Kartal B. (2018). The microbial nitrogen-cycling network. Nat. Rev. Microbiol. 16 (5), 263–276. doi: 10.1038/nrmicro.2018.9

PubMed Abstract | CrossRef Full Text | Google Scholar

Lane R. R., Day J. W., Justic D., Reyes E., Marx B., Day J. N., et al. (2004). Changes in stoichiometric Si, n and p ratios of Mississippi river water diverted through coastal wetlands to the gulf of Mexico. Estuar. Coast. Shelf Sci. 60 (1), 1–10. doi: 10.1016/j.ecss.2003.11.015

CrossRef Full Text | Google Scholar

Lautz L., Fanelli R. (2008). Seasonal biogeochemical hotspots in the streambed around restoration structures. Biogeochemistry 91 (1), 85–104. doi: 10.1007/s10533-008-9235-2

CrossRef Full Text | Google Scholar

Leisher C., Hess S., Dempsey K., Wynne M. L. P., Royte J. (2022). Measuring the social changes from river restoration and dam removal. Restor. Ecol. 30 (1), e13500. doi: 10.1111/rec.13500

CrossRef Full Text | Google Scholar

Leuven R., van der Velde G., Baijens I., Snijders J., van der Zwart C., Lenders H. J. R., et al. (2009). The river Rhine: a global highway for dispersal of aquatic invasive species. Biol. Invasions 11 (9), 1989–2008. doi: 10.1007/s10530-009-9491-7

CrossRef Full Text | Google Scholar

Liermann C. R., Nilsson C., Robertson J., Ng R. Y. (2012). Implications of dam obstruction for global freshwater fish diversity. Bioscience 62 (6), 539–548. doi: 10.1525/bio.2012.62.6.5

CrossRef Full Text | Google Scholar

Liu M., Lei X., Zhou Y., Gao J., Zhou Y., Wang L., et al. (2022). Save reservoirs of humid subtropical cities from eutrophication threat. Environ. Sci. pollut. Res. 29 (1), 949–962. doi: 10.1007/s11356-021-15560-4

CrossRef Full Text | Google Scholar

Liu L., Liu D. F., Johnson D. M., Yi Z. Q., Huang Y. L. (2012). Effects of vertical mixing on phytoplankton blooms in xiangxi bay of three gorges reservoir: Implications for management. Water Res. 46 (7), 2121–2130. doi: 10.1016/j.watres.2012.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu M. D., Xie H., He Y. P., Zhang Q. R., Sun X. J., Yu C. H., et al. (2019). Sources and transport of methylmercury in the Yangtze river and the impact of the three gorges dam. Water Res. 166, 115042. doi: 10.1016/j.watres.2019.115042

PubMed Abstract | CrossRef Full Text | Google Scholar

Li S., Wang F. S., Zhou T., Cheng T. Y., Wang B. L. (2018). Carbon dioxide emissions from cascade hydropower reservoirs along the wujiang river, China. Inland Waters 8 (2), 157–166. doi: 10.1080/20442041.2018.1442040

CrossRef Full Text | Google Scholar

Loucaides S., Van Cappellen P., Roubeix V., Moriceau B., Ragueneau O. (2012). Controls on the recycling and preservation of biogenic silica from biomineralization to burial. Silicon 4 (1), 7–22. doi: 10.1007/s12633-011-9092-9

CrossRef Full Text | Google Scholar

Maavara T., Akbarzadeh Z., Van Cappellen P. (2020a). Global dam-driven changes to riverine N:P:Si ratios delivered to the coastal ocean. Geophysical Res. Lett. 47 (15), e2020GL088288. doi: 10.1029/2020gl088288

CrossRef Full Text | Google Scholar

Maavara T., Chen Q. W., Van Meter K., Brown L. E., Zhang J. Y., Ni J. R., et al. (2020b). River dam impacts on biogeochemical cycling. Nat. Rev. Earth Environ. 1 (2), 103–116. doi: 10.1038/s43017-019-0019-0

CrossRef Full Text | Google Scholar

Maavara T., Durr H. H., Van Cappellen P. (2014). Worldwide retention of nutrient silicon by river damming: From sparse data set to global estimate. Global Biogeochemical Cycles 28 (8), 842–855. doi: 10.1002/2014gb004875

CrossRef Full Text | Google Scholar

Maavara T., Parsons C. T., Ridenour C., Stojanovic S., Duerr H. H., Powley H. R., et al. (2015). Global phosphorus retention by river damming. Proc. Natl. Acad. Sci. U.S.A. 112 (51), 15603–15608. doi: 10.1073/pnas.1511797112

PubMed Abstract | CrossRef Full Text | Google Scholar

Maavara T., Slowinski S., Rezanezhad F., Van Meter K., Van Cappellen P. (2018). The role of groundwater discharge fluxes on Si:P ratios in a major tributary to lake Erie. Sci. Total Environ. 622, 814–824. doi: 10.1016/j.scitotenv.2017.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma J., Chen X., Huang B., Shi Y., Chi G. Y., Lu C. Y. (2015). Utilizing water characteristics and sediment nitrogen isotopic features to identify non-point nitrogen pollution sources at watershed scale in liaoning province, China. Environ. Sci. Pollut. Res. 22 (4), 2699–2707. doi: 10.1007/s11356-014-3540-1

CrossRef Full Text | Google Scholar

Maranger R., Jones S. E., Cotner J. B. (2018). Stoichiometry of carbon, nitrogen, and phosphorus through the freshwater pipe. Limnology Oceanography Lett. 3 (3), 89–101. doi: 10.1002/lol2.10080

CrossRef Full Text | Google Scholar

McPhillips L., Walter M. T. (2015). Hydrologic conditions drive denitrification and greenhouse gas emissions in stormwater detention basins. Ecol. Eng. 85, 67–75. doi: 10.1016/j.ecoleng.2015.10.018

CrossRef Full Text | Google Scholar

Mebane C. A., Ray A. M., Marcarelli A. M. (2021). Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data. PloS One 16 (6), e0252904. doi: 10.1371/journal.pone.0252904

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendonca R., Kosten S., Sobek S., Barros N., Cole J. J., Tranvik L., et al. (2012). Hydroelectric carbon sequestration. Nat. Geosci. 5 (12), 838–840. doi: 10.1038/ngeo1653

CrossRef Full Text | Google Scholar

Messager M. L., Lehner B., Grill G., Nedeva I., Schmitt O. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7, 13603. doi: 10.1038/ncomms13603

PubMed Abstract | CrossRef Full Text | Google Scholar

Molisani M. M., Becker H., Barroso H. S., Hijo C. A. G., Monte T. M., Vasconcellos G. H., et al. (2013). The influence of castanhao reservoir on nutrient and suspended matter transport during rainy season in the ephemeral jaguaribe river (CE, Brazil). Braz. J. Biol. 73 (1), 115–123. doi: 10.1590/s1519-69842013000100013

PubMed Abstract | CrossRef Full Text | Google Scholar

Moran E. F., Lopez M. C., Moore N., Muller N., Hyndman D. W. (2018). Sustainable hydropower in the 21st century. Proc. Natl. Acad. Sci. U.S.A. 115, 47, 11891–11898. doi: 10.1073/pnas.1809426115

PubMed Abstract | CrossRef Full Text | Google Scholar

Mosseri J., Queguiner B., Rimmelin P., Leblond N., Guieu C. (2005). Silica fluxes in the northeast Atlantic frontal zone of mode water formation (38 degrees-45 degrees n, 16 degrees-22 degrees W) in 2001-2002. J. Geophysical Research-Oceans 110 (C7), C07S19. doi: 10.1029/2004jc002615

CrossRef Full Text | Google Scholar

Moutinho F. H. M., Marafao G. A., Calijuri M. D., Moreira M. Z., Marcarelli A. M., Cunha D. G. F. (2021). Environmental factors and thresholds for nitrogen fixation by phytoplankton in tropical reservoirs. Int. Rev. Hydrobiology 106 (1), 5–17. doi: 10.1002/iroh.202002057

CrossRef Full Text | Google Scholar

Mugidde R., Hecky R. E., Hendzel L. L., Taylor W. D. (2003). Pelagic nitrogen fixation in lake Victoria (East africa). J. Great Lakes Res. 29, 76–88. doi: 10.1016/s0380-1330(03)70540-1

CrossRef Full Text | Google Scholar

Nair A. A., Yu F. (2020). Quantification of atmospheric ammonia concentrations: A review of its measurement and modeling. Atmosphere 11 (10), 1092. doi: 10.3390/atmos11101092

CrossRef Full Text | Google Scholar

Nel J. L., Roux D. J., Maree G., Kleynhans C. J., Moolman J., Reyers B., et al. (2007). Rivers in peril inside and outside protected areas: a systematic approach to conservation assessment of river ecosystems. Diversity Distributions 13 (3), 341–352. doi: 10.1111/j.1472-4642.2007.00308.x

CrossRef Full Text | Google Scholar

Noori R., Ansari E., Bhattarai R., Tang Q., Aradpour S., Maghrebi M., et al. (2021). Complex dynamics of water quality mixing in a warm mono-mictic reservoir. Sci. Total Environ. 777, 146097. doi: 10.1016/j.scitotenv.2021.146097

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Connor J. E., Duda J. J., Grant G. E. (2015). 1000 dams down and counting. Science 348 (6234), 496–497. doi: 10.1126/science.aaa9204

PubMed Abstract | CrossRef Full Text | Google Scholar

Ouyang W., Hao F. H., Song K. Y., Zhang X. A. (2011). Cascade dam-induced hydrological disturbance and environmental impact in the upper stream of the yellow river. Water Resour. Manage. 25 (3), 913–927. doi: 10.1007/s11269-010-9733-6

CrossRef Full Text | Google Scholar

Pacca S. (2007). Impacts from decommissioning of hydroelectric dams: a life cycle perspective. Climatic Change 84 (3-4), 281–294. doi: 10.1007/s10584-007-9261-4

CrossRef Full Text | Google Scholar

Paerl H. W., Valdes L. M., Peierls B. L., Adolf J. E., Harding L. W. (2006). Anthropogenic and climatic influences on the eutrophication of large estuarine ecosystems. Limnology Oceanography 51 (1), 448–462. doi: 10.4319/lo.2006.51.1_part_2.0448

CrossRef Full Text | Google Scholar

Paerl H. W., Xu H., Hall N. S., Zhu G. W., Qin B. Q., Wu Y. L., et al. (2014). Controlling cyanobacterial blooms in hypertrophic lake taihu, China: Will nitrogen reductions cause replacement of non-N-2 fixing by n-2 fixing taxa? PloS One 9 (11). doi: 10.1371/journal.pone.0113123

CrossRef Full Text | Google Scholar

Paerl H. W., Xu H., McCarthy M. J., Zhu G. W., Qin B. Q., Li Y. P., et al. (2011). Controlling harmful cyanobacterial blooms in a hyper-eutrophic lake (Lake taihu, china): The need for a dual nutrient (N & p) management strategy. Water Res. 45 (5), 1973–1983. doi: 10.1016/j.watres.2010.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Pan G., Krom M. D., Zhang M. Y., Zhang X. W., Wang L. J., Dai L. C., et al. (2013). Impact of suspended inorganic particles on phosphorus cycling in the yellow river (China). Environ. Sci. Technol. 47 (17), 9685–9692. doi: 10.1021/es4005619

PubMed Abstract | CrossRef Full Text | Google Scholar

Pess G. R., Quinn T. P., Gephard S. R., Saunders R. (2014). Re-colonization of Atlantic and pacific rivers by anadromous fishes: linkages between life history and the benefits of barrier removal. Rev. Fish Biol. Fisheries 24 (3), 881–900. doi: 10.1007/s11160-013-9339-1

CrossRef Full Text | Google Scholar

Poff N. L., Olden J. D., Merritt D. M., Pepin D. M. (2007). Homogenization of regional river dynamics by dams and global biodiversity implications. Proc. Natl. Acad. Sci. United States America 104 (14), 5732–5737. doi: 10.1073/pnas.0609812104

CrossRef Full Text | Google Scholar

Powers S. M., Bruulsema T. W., Burt T. P., Chan N. I., Elser J. J., Haygarth P. M., et al. (2016). Long-term accumulation and transport of anthropogenic phosphorus in three river basins. Nat. Geosci. 9 (5), 353–35+. doi: 10.1038/ngeo2693

CrossRef Full Text | Google Scholar

Powers S. M., Tank J. L., Robertson D. M. (2015). Control of nitrogen and phosphorus transport by reservoirs in agricultural landscapes. Biogeochemistry 124 (1-3), 417–439. doi: 10.1007/s10533-015-0106-3

CrossRef Full Text | Google Scholar

Prairie Y. T., Alm J., Beaulieu J., Barros N., Battin T., Cole J., et al. (2018). Greenhouse gas emissions from freshwater reservoirs: What does the atmosphere see? Ecosystems 21 (5), 1058–1071. doi: 10.1007/s10021-017-0198-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramirez-Zierold J. A., Merino-Ibarra M., Monroy-Rios E., Olson M., Castillo F. S., Gallegos M. E., et al. (2010). Changing water, phosphorus and nitrogen budgets for Valle de bravo reservoir, water supply for Mexico city metropolitan area. Lake Reservoir Manage. 26 (1), 23–34. doi: 10.1080/07438140903539790

CrossRef Full Text | Google Scholar

Ranalli A. J., Macalady D. L. (2010). The importance of the riparian zone and in-stream processes in nitrate attenuation in undisturbed and agricultural watersheds - a review of the scientific literature. J. Hydrology 389 (3-4), 406–415. doi: 10.1016/j.jhydrol.2010.05.045

CrossRef Full Text | Google Scholar

Ran X. B., Yu Z. G., Yao Q. Z., Chen H. T., Guo H. B. (2013). Silica retention in the three gorges reservoir. Biogeochemistry 112 (1-3), 209–228. doi: 10.1007/s10533-012-9717-0

CrossRef Full Text | Google Scholar

Ren Z., Wang F., Qu X. D., Elser J. J., Liu Y., Chu L. M. (2017). Taxonomic and functional differences between microbial communities in qinghai lake and its input streams. Front. Microbiol. 8. doi: 10.3389/fmicb.2017.02319

PubMed Abstract | CrossRef Full Text | Google Scholar

Ribeiro B. I. O., Braghin L. D. M., Lansac-Toha F. M., Bomfim F. F., Almeida B. A., Bonecker C. C., et al. (2022). Environmental heterogeneity increases dissimilarity in zooplankton functional traits along a large Neotropical river. Hydrobiologia 849 (14), 3135–3147. doi: 10.1007/s10750-022-04917-6

CrossRef Full Text | Google Scholar

Rohlfs A. M., Mitrovic S. M., Williams S., Coleman D. (2016). Can tributary in-flows improve the recovery of the dissolved organic carbon regime in a snowmelt river regulated by a large reservoir? Mar. Freshw. Res. 67 (9), 1338–1345. doi: 10.1071/mf14230

CrossRef Full Text | Google Scholar

Ryan Bellmore J., Duda J. J., Craig L. S., Greene S. L., Torgersen C. E., Collins M. J., et al. (2017). Status and trends of dam removal research in the united states. Wiley Interdiscip. Reviews-Water 4 (2), e1164. doi: 10.1002/wat2.1164

CrossRef Full Text | Google Scholar

Saito L., Johnson B. M., Bartholow J., Hanna R. B. (2001). Assessing ecosystem effects of reservoir operations using food web-energy transfer and water quality models. Ecosystems 4 (2), 105–125. doi: 10.1007/s100210000062

CrossRef Full Text | Google Scholar

Salvia-Castellvi M., Dohet A., Vander Borght P., Hoffmann L. (2001). Control of the eutrophication of the reservoir of esch-sur-Sure (Luxembourg): evaluation of the phosphorus removal by predams. Hydrobiologia 459, 61–71. doi: 10.1023/a:1012548006413

CrossRef Full Text | Google Scholar

Sauer D., Saccone L., Conley D. J., Herrmann L., Sommer M. (2006). Review of methodologies for extracting plant-available and amorphous Si from soils and aquatic sediments. Biogeochemistry 80 (1), 89–108. doi: 10.1007/s10533-005-5879-3

CrossRef Full Text | Google Scholar

Schaefer S. C., Alber M. (2007). Temperature controls a latitudinal gradient in the proportion of watershed nitrogen exported to coastal ecosystems. Biogeochemistry 85 (3), 333–346. doi: 10.1007/s10533-007-9144-9

CrossRef Full Text | Google Scholar

Schindler D. W., Hecky R. E., Findlay D. L., Stainton M. P., Parker B. R., Paterson M. J., et al. (2008). Eutrophication of lakes cannot be controlled by reducing nitrogen input: Results of a 37-year whole-ecosystem experiment. Proc. Natl. Acad. Sci. United States America 105 (32), 11254–11258. doi: 10.1073/pnas.0805108105

CrossRef Full Text | Google Scholar

Schmadel N. M., Harvey J. W., Alexander R. B., Schwarz G. E., Moore R. B., Eng K., et al. (2018). Thresholds of lake and reservoir connectivity in river networks control nitrogen removal. Nat. Commun. 9, 2779. doi: 10.1038/s41467-018-05156-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Seitzinger S. P., Styles R. V., Boyer E. W., Alexander R. B., Billen G., Howarth R. W., et al. (2002). Nitrogen retention in rivers: model development and application to watersheds in the northeastern USA. Biogeochemistry 57 (1), 199–237. doi: 10.1023/a:1015745629794

CrossRef Full Text | Google Scholar

Shade A., Read J. S., Youngblut N. D., Fierer N., Knight R., Kratz T. K., et al. (2012). Lake microbial communities are resilient after a whole-ecosystem disturbance. Isme J. 6 (12), 2153–2167. doi: 10.1038/ismej.2012.56

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi W., Chen Q., Yi Q., Yu J., Ji Y., Hu L., et al. (2017). Carbon emission from cascade reservoirs: Spatial heterogeneity and mechanisms. Environ. Sci. Technol. 51 (21), 12175–12181. doi: 10.1021/acs.est.7b03590

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi W. Q., Chen Q. W., Zhang J. Y., Liu D. S., Yi Q. T., Chen Y. C., et al. (2020a). Nitrous oxide emissions from cascade hydropower reservoirs in the upper Mekong river. Water Res. 173, 115582. doi: 10.1016/j.watres.2020.115582

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi W. Q., Chen Q. W., Zhang J. Y., Zheng F. F., Liu D. S., Yi Q. T., et al. (2020b). Enhanced riparian denitrification in reservoirs following hydropower production. J. Hydrology 583, 124305. doi: 10.1016/j.jhydrol.2019.124305

CrossRef Full Text | Google Scholar

Smith V. H., Schindler D. W. (2009). Eutrophication science: where do we go from here? Trends Ecol. Evol. 24 (4), 201–207. doi: 10.1016/j.tree.2008.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Sohrt J., Uhlig D., Kaiser K., von Blanckenburg F., Siemens J., Seeger S., et al. (2019). Phosphorus fluxes in a temperate forested watershed: Canopy leaching, runoff sources, and in-stream transformation. Front. Forests Global Change 2. doi: 10.3389/ffgc.2019.00085

CrossRef Full Text | Google Scholar

Song C. H., Gardner K. H., Klein S. J. W., Souza S. P., Mo W. W. (2018). Cradle-to-grave greenhouse gas emissions from dams in the united states of America. Renewable Sustain. Energy Rev. 90, 945–956. doi: 10.1016/j.rser.2018.04.014

CrossRef Full Text | Google Scholar

Stanley E. H., Doyle M. W. (2003). Trading off: the ecological removal effects of dam removal. Front. Ecol. Environ. 1 (1), 15–22. doi: 10.1890/1540-9295(2003)001[0015:Toteeo]2.0.Co;2

CrossRef Full Text | Google Scholar

Stimson A. G., Allott T. E. H., Boult S., Evans M. G. (2017). Reservoirs as hotspots of fluvial carbon cycling in peatland catchments. Sci. Total Environ. 580, 398–411. doi: 10.1016/j.scitotenv.2016.11.193

PubMed Abstract | CrossRef Full Text | Google Scholar

Struyf E., Smis A., Van Damme S., Garnier J., Govers G., Van Wesemael B., et al. (2010). Historical land use change has lowered terrestrial silica mobilization. Nat. Commun. 1, 129. doi: 10.1038/ncomms1128

PubMed Abstract | CrossRef Full Text | Google Scholar

Suchowolec T., Gorniak A. (2009). Riverine water transformation during retention in small lowland reservoirs. Oceanological Hydrobiological Stud. 38 (4), 103–108. doi: 10.2478/v10009-009-0047-z

CrossRef Full Text | Google Scholar

Sugiyama Y., Anegawa A., Kumagai T., Harita Y., Hori T., Sugiyama M. (2004). Distribution of dissolved organic carbon in lakes of different trophic types. Limnology 5 (3), 165–176. doi: 10.1007/s10201-004-0128-3

CrossRef Full Text | Google Scholar

Sun Y., Wang C., Chen X., Liu S., Lu X., Chen H. Y. H., et al. (2022). Phosphorus additions imbalance terrestrial ecosystem C:N:P stoichiometry. Global Change Biol. doi: 10.1111/gcb.16417

CrossRef Full Text | Google Scholar

Syvitski J. P. M., Vorosmarty C. J., Kettner A. J., Green P. (2005). Impact of humans on the flux of terrestrial sediment to the global coastal ocean. Science 308 (5720), 376–380. doi: 10.1126/science.1109454

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang X. Q., Wu M., Li R. (2018). Distribution, sedimentation, and bioavailability of particulate phosphorus in the mainstream of the three gorges reservoir. Water Res. 140, 44–55. doi: 10.1016/j.watres.2018.04.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavernini S., Pierobon E., Viaroli P. (2011). Physical factors and dissolved reactive silica affect phytoplankton community structure and dynamics in a lowland eutrophic river (Po river, Italy). Hydrobiologia 669 (1), 213–225. doi: 10.1007/s10750-011-0688-2

CrossRef Full Text | Google Scholar

Teixeira I. G., Arbones B., Frojan M., Nieto-Cid M., Alvarez-Salgado X. A., Castro C. G., et al. (2018). Response of phytoplankton to enhanced atmospheric and riverine nutrient inputs in a coastal upwelling embayment. Estuar. Coast. Shelf Sci. 210, 132–141. doi: 10.1016/j.ecss.2018.06.005

CrossRef Full Text | Google Scholar

Teodoru C., Dimopoulos A., Wehrli B. (2006). Biogenic silica accumulation in the sediments of iron gate I reservoir on the Danube river. Aquat. Sci. 68 (4), 469–481. doi: 10.1007/s00027-006-0822-9

CrossRef Full Text | Google Scholar

Teodoru C., Wehrli B. (2005). Retention of sediments and nutrients in the iron gate I reservoir on the Danube river. Biogeochemistry 76 (3), 539–565. doi: 10.1007/s10533-005-0230-6

CrossRef Full Text | Google Scholar

Thomson J. R., Hart D. D., Charles D. F., Nightengale T. L., Winter D. M. (2005). Effects of removal of a small dam on downstream macroinvertebrate and algal assemblages in a Pennsylvania stream. J. North Am. Benthological Soc. 24 (1), 192–207. doi: 10.1899/0887-3593(2005)024<0192:Eoroas>2.0.Co;2

CrossRef Full Text | Google Scholar

Thouvenot-Korppoo M., Billen G., Garnier J. (2009). Modelling benthic denitrification processes over a whole drainage network. J. Hydrology 379 (3-4), 239–250. doi: 10.1016/j.jhydrol.2009.10.005

CrossRef Full Text | Google Scholar

Triplett L. D., Engstrom D. R., Conley D. J., Schellhaass S. M. (2008). Silica fluxes and trapping in two contrasting natural impoundments of the upper Mississippi river. Biogeochemistry 87 (3), 217–230. doi: 10.1007/s10533-008-9178-7

CrossRef Full Text | Google Scholar

Turner P. A., Griffis T. J., Baker J. M., Lee X., Crawford J. T., Loken L. C., et al. (2016). Regional-scale controls on dissolved nitrous oxide in the upper Mississippi river. Geophysical Res. Lett. 43 (9), 4400–4407. doi: 10.1002/2016gl068710

CrossRef Full Text | Google Scholar

Van Cappellen P., Maavara T. (2016). Rivers in the anthropocene: Global scale modifications of riverine nutrient fluxes by damming. Ecohydrology Hydrobiology 16 (2), 106–111. doi: 10.1016/j.ecohyd.2016.04.001

CrossRef Full Text | Google Scholar

Van Nieuwenhuyse E. E. (2007). Response of summer chlorophyll concentration to reduced total phosphorus concentration in the Rhine river (Netherlands) and the Sacramento - San Joaquin delta (California, USA). Can. J. Fisheries Aquat. Sci. 64 (11), 1529–1542. doi: 10.1139/f07-121

CrossRef Full Text | Google Scholar

Vanni M. J., Renwick W. H., Bowling A. M., Horgan M. J., Christian A. D. (2011). Nutrient stoichiometry of linked catchment-lake systems along a gradient of land use. Freshw. Biol. 56 (5), 791–811. doi: 10.1111/j.1365-2427.2010.02436.x

CrossRef Full Text | Google Scholar

Vitousek P. M., Porder S., Houlton B. Z., Chadwick O. A. (2010). Terrestrial phosphorus limitation: mechanisms, implications, and nitrogen-phosphorus interactions. Ecol. Appl. 20 (1), 5–15. doi: 10.1890/08-0127.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang Y., Shen Z. Y., Niu J. F., Liu R. M. (2009). Adsorption of phosphorus on sediments from the three-gorges reservoir (China) and the relation with sediment compositions. J. Hazardous Materials 162 (1), 92–98. doi: 10.1016/j.jhazmat.2008.05.013

CrossRef Full Text | Google Scholar

Wang S., Wang W., Liu L., Zhuang L., Zhao S., Su Y., et al. (2018). Microbial nitrogen cycle hotspots in the plant-Bed/Ditch system of a constructed wetland with N2O mitigation. Environ. Sci. Technol. 52 (11), 6226–6236. doi: 10.1021/acs.est.7b04925

PubMed Abstract | CrossRef Full Text | Google Scholar

Wei R., Zhang W. C., Peng S. J. (2022). Energy and greenhouse gas footprints of China households during 1995-2019: A global perspective. Energy Policy 164, 112939. doi: 10.1016/j.enpol.2022.112939

CrossRef Full Text | Google Scholar

Winemiller K. O., McIntyre P. B., Castello L., Fluet-Chouinard E., Giarrizzo T., Nam S., et al. (2016). Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science 351 (6269), 128–129. doi: 10.1126/science.aac7082

PubMed Abstract | CrossRef Full Text | Google Scholar

Winton R. S., Calamita E., Wehrli B. (2019). Reviews and syntheses: Dams, water quality and tropical reservoir stratification. Biogeosciences 16 (8), 1657–1671. doi: 10.5194/bg-16-1657-2019

CrossRef Full Text | Google Scholar

Withers P. J. A., Jarvie H. P. (2008). Delivery and cycling of phosphorus in rivers: A review. Sci. Total Environ. 400 (1-3), 379–395. doi: 10.1016/j.scitotenv.2008.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wollheim W. M., Vorosmarty C. J., Bouwman A. F., Green P., Harrison J., Linder E., et al. (2008). Global n removal by freshwater aquatic systems using a spatially distributed, within-basin approach. Global Biogeochemical Cycles 22 (2), GB2026. doi: 10.1029/2007gb002963

CrossRef Full Text | Google Scholar

Worman A., Kronnas V. (2005). Effect of pond shape and vegetation heterogeneity on flow and treatment performance of constructed wetlands. J. Hydrology 301 (1-4), 123–138. doi: 10.1016/j.jhydrol.2004.06.038

CrossRef Full Text | Google Scholar

Wurtsbaugh W. A. (2020). Nutrients, eutrophication and harmful algal blooms along the freshwater to marine continuum (vol 6, e1373, 2019). Wiley Interdiscip. Reviews-Water 7 (4), e1453. doi: 10.1002/wat2.1453

CrossRef Full Text | Google Scholar

Wu D., Zhang Z. M., Yu Z. D., Zhu L. (2018). Optimization of F/M ratio for stability of aerobic granular process via quantitative sludge discharge. Bioresource Technol. 252, 150–156. doi: 10.1016/j.biortech.2017.12.094

CrossRef Full Text | Google Scholar

Xue Y. Y., Yu Z., Chen H. H., Yang J. R., Liu M., Liu L. M. A., et al. (2017). Cyanobacterial bloom significantly boosts hypolimnelic anammox bacterial abundance in a subtropical stratified reservoir. FEMS Microbiol. Ecol. 93 (10), fix118. doi: 10.1093/femsec/fix118

CrossRef Full Text | Google Scholar

Yang X., Huang T. L., Zhang H. H. (2015). Effects of seasonal thermal stratification on the functional diversity and composition of the microbial community in a drinking water reservoir. Water 7 (10), 5525–5546. doi: 10.3390/w7105525

CrossRef Full Text | Google Scholar

Yan X., Thieu V., Garnier J. (2021). Long-term assessment of nutrient budgets for the four reservoirs of the seine basin (France). Sci. Total Environ. 778, 146412. doi: 10.1016/j.scitotenv.2021.146412

PubMed Abstract | CrossRef Full Text | Google Scholar

Yi Q. T., Chen Q. W., Shi W. Q., Lin Y. Q., Hu L. M. (2017). Sieved transport and redistribution of bioavailable phosphorus from watershed with complex river networks to lake. Environ. Sci. Technol. 51 (18), 10379–10386. doi: 10.1021/acs.est.7b02710

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu Z., Yang J., Amalfitano S., Yu X. Q., Liu L. M. (2014). Effects of water stratification and mixing on microbial community structure in a subtropical deep reservoir. Sci. Rep. 4, 5821. doi: 10.1038/srep05821

PubMed Abstract | CrossRef Full Text | Google Scholar

Zervoudaki S., Nielsen T. G., Carstensen J. (2009). Seasonal succession and composition of the zooplankton community along an eutrophication and salinity gradient exemplified by Danish waters. J. Plankton Res. 31 (12), 1475–1492. doi: 10.1093/plankt/fbp084

CrossRef Full Text | Google Scholar

Zhang X., Fang C., Wang Y., Lou X., Su Y., Huang D. (2022). Review of effects of dam construction on the ecosystems of river estuary and nearby marine areas. Sustainability 14 (10), 5974. doi: 10.3390/su14105974

CrossRef Full Text | Google Scholar

Zhang L. W., Xia X. H., Liu S. D., Zhang S. B., Li S. L., Wang J. F., et al. (2020). Significant methane ebullition from alpine permafrost rivers on the East qinghai-Tibet plateau. Nat. Geosci. 13 (5), 349–354. doi: 10.1038/s41561-020-0571-8

CrossRef Full Text | Google Scholar

Zhang L. W., Zhang S. B., Xia X. H., Battin T. J., Liu S. D., Wang Q. R., et al. (2022). Unexpectedly minor nitrous oxide emissions from fluvial networks draining permafrost catchments of the East Qinghai-Tibet Plateau. Nat. Commun. 13 (1), 950. doi: 10.1038/s41467-022-28651-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang X., Fang C., Wang Y., Lou X., Su Y., Huang D., et al. (2022). Review of effects of dam construction on the ecosystems of river estuary and nearby marine areas. Sustainability 14 (10), 5974. doi: 10.3390/su14105974

CrossRef Full Text | Google Scholar

Zhou J., Scherer L., van Bodegom P. M., Beusen A., Mogollon J. M. (2022). Regionalized nitrogen fate in freshwater systems on a global scale. J. Ind. Ecol. 26 (3), 907–922. doi: 10.1111/jiec.13227

CrossRef Full Text | Google Scholar

Zhou S. L., Sun Y., Huang T. L., Cheng Y., Yang X., Zhou Z. Z., et al. (2020). Reservoir water stratification and mixing affects microbial community structure and functional community composition in a stratified drinking reservoir. J. Environ. Manage. 267, 110456. doi: 10.1016/j.jenvman.2020.110456

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou J. J., Zhang M., Lu P. Y. (2013). The effect of dams on phosphorus in the middle and lower Yangtze river. Water Resour. Res. 49 (6), 3659–3669. doi: 10.1002/wrcr.20283

CrossRef Full Text | Google Scholar

Zhu X., Chang K., Cai W., Zhang A., Yue G., Zhao X. (2022). Response of runoff and nitrogen loadings to climate and land use changes in the middle fenhe river basin in northern China. J. Water Climate Change 13 (7), 2817–2836. doi: 10.2166/wcc.2022.121

CrossRef Full Text | Google Scholar

Znachor P., Visocka V., Nedoma J., Rychtecky P. (2013). Spatial heterogeneity of diatom silicification and growth in a eutrophic reservoir. Freshw. Biol. 58 (9), 1889–1902. doi: 10.1111/fwb.12178

CrossRef Full Text | Google Scholar

Keywords: river damming, nutrient cycling, microbial community, hydraulic residence time, tributary habitat replacement

Citation: Wang X, Chen Y, Yuan Q, Xing X, Hu B, Gan J, Zheng Y and Liu Y (2022) Effect of river damming on nutrient transport and transformation and its countermeasures. Front. Mar. Sci. 9:1078216. doi: 10.3389/fmars.2022.1078216

Received: 24 October 2022; Accepted: 07 November 2022;
Published: 21 November 2022.

Edited by:

Haohan Yang, Yangzhou University, China

Reviewed by:

Xin Zhao, Northeastern University, China
Zhengjian Yang, China Three Gorges University, China

Copyright © 2022 Wang, Chen, Yuan, Xing, Hu, Gan, Zheng and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xun Wang, xwang2014@hhu.edu.cn

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.