Introduction

Modern commerce relies on navigable waterways to maintain commodity transport across the globe. For example, in 2013, 3,165 tons of goods were transported throughout the U.S. waterways (U.S. Water System 2015). River channel maintenance relies on frequent dredging to keep the waterways navigable. The U.S. Army Corps of Engineers (USACE) dredges, on average, over 147 million cubic yards of sediment annually. Some of the material is removed from the system and used beneficially for beach and wetland nourishment, or habitat creation, while other material may be re-deposited back into the system. Dredging is a complex activity, and its impact on aquatic ecosystems is poorly understood, particularly over long timescales. For example, species are exposed to dredge-created suspended sediment plumes if they are in close proximity to the dredge. However, these plumes are ephemeral and vary in concentration, lessening the further away from the source. Likewise, if the species is vagile, it can choose to move away from the sediment source once exposed. Further, the sensitivity of a species can change ontogenetically, so impacts can be mitigated if a less sensitive life stage is exposed, (e.g., the fry life stage vs an adult). Most of the research in this arena has focused on impacts of sediment exposure on aquatic species. Notably, there have been few studies which focused exclusively on the relationship between dredging activities and population dynamics of aquatic species. In this paper, we review the current state of knowledge on sediment–fish interactions and attempt to place the work in the context of developing research tools and methods to help begin to understand the impacts of dredging on fish communities.

Sediments are particles that have been suspended, transported, and deposited by water, and are natural and important to elemental cycling in rivers, lakes, and coastal ecosystems (Nichols 1999; Beussink 2007). Suspended sediment events are important, nationally and internationally, as nutrients and contaminants fluxes occur in lakes, rivers, estuaries, coastal systems, and oceans. The rate and magnitude of SS events can be altered by factors such as changes in land use and anthropogenic activities. Suspended solids are often of two general types: inorganic and organic. Inorganic sediments can be described based on mineral composition, origin, particle shape, size, and distribution (Nichols 1999; Beussink 2007), whereas the organic component is biodegradable and varies with origin, amount, and stage of particulate organic matter (Wood 1997). Sediment transport is a function of water movement, and sediment characteristics and composition resulting in a variety of transportation modes. Bed load and suspended load are the primary transportation modes of sediment. Bed load describes sediment particles that move along the bed. Suspended load refers to the suspension of small particles (typically clays and silts <62 μm in diameter) that are carried in the water column (Waters 1995; Garcia 2008). Increases in suspended sediments loads, frequencies, and timing of events are often related directly to anthropogenic activities (e.g., vessels, navigation maintenance and construction, port and road construction, mining, agriculture, logging, and urban development), and indirectly through altered precipitation patterns, increased temperatures, and changes in hard freezes, snowpacks, and snow melts related to changing climates.

Suspended sediment concentrations or water clarity can be directly measured as total suspended sediments (TSS) in mg/L, but more frequently are indirectly measured as turbidity (Fleming et al. 2005). Turbidity is a parameter that is an expression of the optical properties in a sample, and is a measure of the light rays being scattered and absorbed rather than transmitted in straight lines through the sample. Because turbidity measurements are influenced by other compounds and organisms, the correlative relationship of TSS to nephelometric turbidity units (NTUs) is, at best, temporally and spatially explicit.

Suspended sediments can elicit a short- and long-term response from aquatic biota depending on the quantity, quality, and duration of suspended sediment exposure (Caux et al. 1997; Newcombe 2003; Fleming et al. 2005). In 1998, about 40 % of assessed river miles in the U.S.A. had sediment stress-related issues (U.S. EPA 2000). Suspended and bedded sediment (SABS) loading imbalance in aquatic systems can be considered one of the greatest causes of impaired water quality (U.S. EPA 2003; Berry et al. 2003).

In the U.S.A., a universal measurement for SABS does not exist, nor do standard durations for SABS effects testing (Berry et al. 2003). The U.S. EPA has set the following recommendations for developing a numeric criterion for suspended solids and turbidity, i.e., “Settleable and suspended solids should not reduce the depth of the compensation point for photosynthetic activity by more than 10 % from the seasonally established norm for aquatic life” (U.S. EPA 2006). However, there currently exists a wide range of turbidity criteria utilized in the U.S.A. (Berry et al. 2003). The criteria used for SABS can be numerical, narrative, a combination of both, or none at all. The U.S. EPA conducted a study of published SABS criteria in all states in 2001. Numeric SABS criteria existed in 32 of the 53 states, tribes, and territories, and the District of Columbia (U.S. EPA 2006), of which only 30 had criteria for turbidity and seven for suspended solids and five listed criteria for both turbidity and suspended solids. Criteria were in the form of exceedances over background (e.g., “not more than 10 % above background” or “no more than 10 NTUs above background”) or absolute values (e.g., “not greater than 100 NTU”) (U.S. EPA 2006). Several states provide criteria for an averaging period (e.g., 30 days) as well as an allowed daily maximum concentration (Berry et al. 2003). Other states use exceedances over background (e.g., “not greater than 50 NTU over background”, or “not more than 10 % above background”), while some use absolute values (e.g., “not greater than 100 NTU”). There are not many states that use suspended solids as a water quality criterion and values vary from 30 up to 158 mg/L (Berry et al. 2003). Importantly, both the duration (Newcombe and MacDonald 1991) and frequency (Shaw and Richardson 2001) of SAB exposures should be considered when establishing guidelines for exposure thresholds for aquatic organisms (Berry et al. 2003).

In comparison, the regulatory criteria set forth by British Columbia for the protection of aquatic life are as follows: “(1) For clear flow periods, induced turbidity should not exceed background levels by more than 8 NTU during any 24-h period (hourly sampling preferred). For sediment inputs that last between 24 h and 30 days (daily sampling preferred), the mean turbidity should not exceed background by more than 2 NTU. (2) For turbid flow periods, induced turbidity should not exceed the background levels by more than 8 NTU at any time when background turbidity is between 8 and 80 NTU. When background exceeds 80 NTU, turbidity should not be increased by more than 10 % of the measured background level at any one time. (3) The clear and turbid flow periods are defined by the portion of the hydrograph when suspended sediment concentrations are low (taken to be less than 8 NTU) and relatively elevated (taken to be greater than or equal to 8 NTU), respectively” (Fleming et al. 2005).

Suspended sediments absorb heat energy thereby raising water temperatures (Ellis 1936; Reid 1961; Ryder and Pesendorfer 1989). Turbidity can reduce light transmission through the water and decrease photosynthesis by aquatic plants, consequently affecting dissolved oxygen levels (Berry et al. 2003). As noted in Coen (1995), such effects of turbidity on water quality may result in biological effects on aquatic organisms such as disruptions in migrations and spawning, movement patterns, sublethal effects (e.g., disease susceptibility, growth, and development), reduced hatching success, and direct mortality. Effects of suspended sediments on fish depend upon several factors: species, temperature at exposure time (e.g., Servizi and Martens 1991), type of suspended sediment, [i.e., particle size (Muck 2010) and angularity (e.g., Lake and Hinch 1999)] sediment contaminants (Matta et al. 1999), duration and frequency of exposure, and dose.

In this paper, we present a review of the existing literature in order to help identify the current scope of information available regarding total suspended solids thresholds for fish species. We then develop a conceptual model of the current understanding of the relationship between sediment dynamics and exposure, and fish species. We also identify areas where further research is necessary. The goal of this review is to provide the state of the science related to suspended sediments effects on freshwater and estuarine fish including short-term (i.e., physiology and behavior) and long-term effects (transgenerational).

Methods

We began our investigation using a Boolean search using Google Scholar (scholar.google.com). Given the immense amount of literature related to general search terms as “dredging and fish,” we explicitly focused the search to a combination of terms: dredging, fish, physiology, behavior, and epigenetic inheritance or transgenerational.

Results

The Google Scholar search engine retrieved approximately 61,000 results related to more general search terms as “dredging and fish.” The search terms of “dredging and fish and behavior” or “dredging and fish and physiology” produced about 32,800 and 19,500 citations, respectively. “Dredging and fish gametes” produced 3,050 citations, a reduction of about 95.3 %. Interestingly, the search phrase “dredging and fish and transgenerational” or “dredging effects and fish gametes and transgenerational” produced only 136 and 14 results, respectively, a reduction of about 99.7 and 99.9 %. The aforementioned results demonstrate the little attention given to examining long-term, insidious effects, such as transgenerational effects, from suspended sediments on fish populations. Understanding transgenerational effects is paramount to developing and predicting the links between fish condition, survival, populations, and communities. For example, survival of a local fish population to high sediment loads often translates into short-term physiological and behavioral effects; however, often full ramifications of such effects are not tracked into the next generation. Presently, the majority of the studies involving suspended sediment effects on fish have focused on exposure and mortality rates of the exposed fish or deposited eggs and larvae. Accordingly, a review was conducted of more than 150 peer-reviewed papers and reports pertaining to suspended sediments, dredging, and potential effects on fish and other aquatic organisms.

Fish behavior and movement

In general, fish are more likely to undergo sublethal stress from suspended sediments rather than lethality because of their ability to move away from or out of an area of higher concentration to a lower concentration versus sessile or less mobile species. Therefore, it is important to understand how suspended sediments affect the behavior and physiology over both short- and long-term scales. From our review, three overarching trends appear: preference, physiological adjustment, and avoidance. The consequences of these trends can be observed in a variety of contexts, e.g., social disruption, migratory patterns, displacement of fish, intraspecific aggression, reproductive pairing–spawning success, predator–prey interactions, food web dynamic alternations, larvae disbursement, and settlement (McLeay et al. 1987; Bash et al. 2001; Utne-Palm 2002; Suttle et al. 2004; Muck 2010; Chapman et al. 2014). However, there is a knowledge gap in our overall understanding regarding the relationship between increased sedimentation and behavioral effects (including sensory capabilities, motivation state) on non-salmonids, various migratory species, lotic species, larvae, and fish communities in particular involving the examination of species utilizing various levels of the water column and various life stages for a species that would reside in areas with periodic or chronic sediment loads.

There are relatively few studies that document in situ the ability of fish to avoid suspended sediment plumes and dredge activity areas and the prevalence of reduced exposure times as a result. Carlson et al. (2001) documented the behavioral responses of salmonids to dredging activities in the Columbia River using hydroacoustics. During dredging operations, out-migrating salmon smolt (Oncorhynchus spp., likely fall chinook salmon (O. tshawytscha) and coho salmon (O. kisutch)) behavioral responses ranged from (1) salmon orienting to the channel margin move inshore when encountering the dredge, (2) most out-migrating salmon passing inshore moved offshore upon encountering the discharge plume, and (3) out-migrating salmon were observed to assume their prior distribution trends within a short time after encountering both the dredging activity and dredge plume (as cited in Carlson et al. 2001). In artificial streams, previously unexposed fish juvenile chinook salmon showed a preference of (80 %) for clear water (0 mg/L suspended sediment) in contrast to suspended sediment levels >76 mg/L, and generally avoiding all sediment levels >20 mg/L (Birtwell 1999). In contrast, subadult white sturgeon (Acipenser transmontanus) rates of movement, depths, and diel patterns showed little change in response to hopper dredge disposal activities (Parsley et al. 2011). Overall though, volitional fish movement, whether avoidance or displacement and in a few cases preference, will depend upon the “perceived” options available in the water body and an individual’s motivation state during elevated suspended sediment loads or dredging activity.

Foraging and predator–prey interactions

Depending on the foraging strategy of a species, direct exposure to high levels of suspended sediment can disrupt foraging activities or decrease foraging efficacy. The increased turbidity can cause changes in feeding behavior of the fish for the simple reason that the prey may be less visible (Ward 1992). Turbidity, due to the scattering of light, can increase or decrease the contrast between prey and the water column. In the case of some fish larvae, their visual detection of prey increases due to the less inference from light scattering (Utne-Palm 2002). In addition, the protection of larvae from large predators increases from the decreased ability of large visual predators. Thus, in certain cases, turbid environments may offer some benefits for certain species and size groups of fish (planktivores and fish larvae) (Utne-Palm 2002). More commonly though, sedimentation effects on freshwater fish can be graded out by habitat, or life history traits. For example, as sediment and deposited sediments increased, feeding behavior (defined as feeding rate, a reaction distance to food item) decreased in turbidity-tolerant [e.g., northern pike (Esox lucius) and largemouth bass (Micropterus salmoides)], moderately intolerant [e.g., chinook salmon, rainbow trout (O. mykiss)], and intolerant species [e.g., brook trout (Salvelinus fontinalis)] (Chapman et al. 2014).

Similar to Chapman et al. (2014), Sullivan and Watzin (2010) found that fish of different life history styles, in this case foraging guilds, have varying tolerances to suspended sediment loads. For example, pumpkinseed (Lepomis gibossus, omnivores) showed no significant difference in condition (as measured by Fulton’s K Factor) over sediment aggradation (slight, moderate, and severe) or time (14 days) (Sullivan and Watzin 2010). Olsen et al. (1973) reported that rainbow trout feeding activity drops sharply when turbidity surpasses 70 Jackson turbidity units (JTU), or less than 500 ppm by weight for most sediment sources (Noggle 1978). It should be mentioned that the majority of the reviewed literature focuses on species that forage near the surface or within the water column; however, elevated turbidity concentrations can affect the ability of fish to forage on benthic organisms. Sullivan and Watzin (2010) showed that white suckers (Catostomus commersonii) and creek chubs (Semotilus atromaculatus) experienced a higher mortality compared with pumpkinseed under “severe” sediment aggradation conditions over 28 days. Similarly, Florida pompano (Trachinotus carolinus) had reduced foraging success on bean clams (Donax variabilis) and mole crabs (Emerita talpoida) with increased turbidity (Manning et al. 2013). These results indicate that opportunistic species feeding in several sections of the water column may be more resilient to suspended sediments than more specialized trophic groups (Sullivan and Watzin 2010). These findings indicate that fish foraging success is largely dependent upon their sensory capabilities and adaptive strategies.

Several studies, e.g., Gregory (1993), Gregory and Northcote (1993), Utne-Palm (1999), Bonner and Wilde (2002), Horppila et al. (2004), Rowe et al. (2003), and Shoup and Wahl (2009) provide insightful information regarding the effects of TSS on predator–prey interactions. For example, Gregory (1993), Gregory and Northcote (1993) found that a turbidity threshold of 200 mg/L could reduce dredge-induced salmonid prey–predator reaction changes. Miner and Stein (1996) also reported “changes in predator avoidance,” and specifically, reaction distance declined as turbidity increased. Turbidity levels as low as 20 NTU can reduce the overall efficacy of foraging and prey captures in adult and juvenile salmonids (Berg 1982; Bash et al. 2001; Madej et al. 2007), and according to Kemp et al. (2011), other species have had similar effects. However, other studies have indicated that juvenile coho, steelhead, and chinook foraging in slightly to moderately turbid waters (Sigler et al. 1984; Gregory 1988; Bash et al. 2001), and that prey consumption is not significantly affected in species that are adapted to more turbid waters (Kemp et al. 2011).

Fish physiology and direct physical stress

The deleterious effects of suspended sediments directly on fish physiology are well documented. While increases in sediment load (both suspended and deposited) can have a negative effect across multiple scales of fish communities, from individual level (e.g., spawning success and fry emergence) to the system level (e.g., decreased species richness) (Chapman et al. 2014), the direct cause–effect pathways linking the impacts of sediment loads directly to injury and/or physiological stress is still ambiguous (Nightingale and Simenstad 2001). Rich (2010) provides an informative table of exposure concentrations, durations, and associated mortality.

Sublethal stress

In order to determine suspended sediment effects, Berli et al. (2014) examined metabolic parameters associated with swimming performance in juvenile trout, comparing hatchery strains of rainbow trout (RBT) and a strain of brown trout (Salmo trutta; BNT), using three concentrations of calcium carbonate. In general, as turbidity increased, swimming performance decreased, and RBT strains experienced a higher degree of impairment in swimming performance than BNT (Berli et al. 2014). For the groups, indicators of aerobic metabolism (i.e., citrate synthase activities and glucose levels) were elevated, while those of anaerobic metabolism (i.e., plasma lactate and LDH activities) were depressed (Berli et al. 2014). Based on these results, Berli et al. (2014) suggested that acute exposures to environmentally relevant turbidities generated by fine suspended sediment may cause a reduced U crit and that these changes may be related to changes in the utilization of aerobic and anaerobic pathways.

There are many environmental factors that are responsible in determining the magnitude of suspended sediment impact on salmonids including the following: duration and frequency of exposure, water temperature sediment toxicity, fish life stage and life history, particle angularity and size, sediment pulse magnitude and timing, physical condition of biota, and refugia/habitat availability and access (Bash et al. 2001; Muck 2010). Results indicate seasonal changes in the tolerance of salmonids to suspended sediment. For instance, metabolic oxygen demand increases as temperature increases, but water oxygen concentrations decrease (Muck 2010) and may decrease even more during dredging activities where organic material is re-suspended, i.e., associated oxygen requirements during decomposition. Excess suspended sediments can result in significant changes in behavior (Wedemeyer et al. 1984; Schreck et al. 1997; Sutherland 2003), such as feeding (e.g., Berg and Northcote 1985), predator avoidance (Miner and Stein 1996), and modified movement or migration (Carlson et al. 2001); reduced food availability (Kemp et al. 2011); gill trauma (Goldes et al. 1988; Newcombe and MacDonald 1991; Beussink 2007); and increased metabolic costs or energy expenditure shifts (Schreck 2010).

Stressor duration, tolerance, and lethality

The effects of suspended sediments on fish vary across species and depend upon several factors, including the life history and species-specific characteristics (e.g., sediment tolerance), the duration of exposure, frequency of events, the type of sediment (including angularity). Generally, benthic species are more tolerant to suspended sediment than pelagic species (Rogers 1969; Sherk et al. 1974; Noggle 1978). Also, closely related species can express different stress levels at similar exposures, e.g., chum salmon (O. keta) fry exposed to suspended sediment concentrations of 28 and 55 g/L resulted in 50 % mortality after 96 h (Smith 1978), whereas the same mortality rate was expressed at lower concentrations 1.2–35 g/L over the same duration for coho, chinook, and steelhead salmon (Noggle 1978). Notably, threshold effects can result in higher mortalities; e.g., rainbow trout in the Powder River (Oregon) died within 3 weeks when the concentration of suspended sediment reached 1000–2500 ppm (Campbell 1954). Table 1 reports suspended sediment mortality effects for several other species. In addition to mortality effects, suspended sediment can impact other aspects of fish behavior and physiology, including growth rate (e.g., whitetail shiner, Cyprinella galactura) (Sutherland 2003) or feeding behavior [e.g., rainbow trout (Olsen et al. 1973; Noggle 1978)]. Berry et al. (2003) provide much more detail regarding suspended sediments and effects on fish species.

Table 1 Effects of suspended sediment levels by species

Understanding the interactions between stressors and a species’ life history and physiology can help natural resource managers design management actions that mitigate the effects of the stressor, or assist with the development of therapeutants (Schreck et al. 2001). Given the ebb and flow of disturbance regimes in nature, fish have developed trade-offs for dealing with stress that, in general, affects reproductive fitness by altering gametic or progenic quality (Schreck et al. 2001). For example, disturbance, including handling, can affect the timing of reproduction: in rainbow trout disturbance delays reproduction, whereas tilapia (Oreochromis niloticus) either accelerate or completely inhibit reproduction depending on which maturational stage is occurring during the disturbance event (Schreck et al. 2001).

There is currently a lack of holistic-based studies that can identify how the stressors impact fish across scales (Schreck 2010), which makes understanding the total impact of stress on fish populations difficult. Stress response cycles vary not only with the duration and severity of the stress response, but also with the developmental stage of individuals as well as across different physiological, genetic, or reproductive processes. Resisting a stressor and mounting a stress response are energetically costly processes, and the energy required to deal with the stress must be reallocated (generally toward increased oxygen consumption and metabolic rate to deal with the event) (Barton and Schreck 1987; Contreras-Sanchez et al. 1998; McCormick et al. 1998; Muck 2010). If this reallocation reduces energy for reproduction, then there can be population-level consequences. Both the nature of a stressor and its severity can affect fish reproduction in many different ways: for example, evading predators (i.e., an emergency response) or coping with resource limitations due to higher densities are both stressors, but both involve allocating and re-budgeting energy differently, both of which can have impacts at the population level (Schreck 2010); for example, energy is diverted from reproduction to heat-shock protein production (Krebs and Loeschcke 1994; Loeschcke et al. 2013).

Reproduction can be affected by stress in various ways, depending upon when it is experienced in the life cycle and the severity and duration (Schreck 2010). Increased suspended sediment loads can cause physiological, bioenergetic, and behavioral alterations (e.g., delays in spawning) which may in turn affect egg quantity or quality and embryo development (Bash et al. 2001). For example, stress from suspended solids impacts eggs and alevins more than adults (Muck 2010), but other sources of stress can impact ovulation or inhibit reproduction, which can impact both gamete quality and fecundity. Acute stress can have several effects on the reproduction of fish, including reducing egg size and delaying ovulation in females, reducing sperm counts in males, and lowering survival rates for offspring from stressed fish (Campbell et al. 1992), as well as significantly altering relative fecundity, particularly when compared to non-stressed individuals (Contreras-Sánchez et al. 1998). Cumulative stress can also impact reproduction [e.g., chronic confinement stress reduced egg size in rainbow trout and significantly lowered survival rates for progeny from both stressed brown trout and rainbow trout compared to progeny from unstressed controls (Campbell et al. 1994)]. Stress can also impact nutritional quality, which has been correlated with reproductive success [e.g., in wild cod (Gadus morhua) lower fecundity resulted from poorer nutritional condition (Lambert and Dutil 2000; Lambert et al. 2000; Schreck 2010)].

Stress induced by suspended sediments can also have impacts at the community level (Waters, 1995), including alterations in habitat (Allan et al. 1997), community diversity and productivity (Dudgeon 2000; Sullivan et al. 2006), and the relative abundance of spawning guilds (Sutherland et al. 2002; Sullivan and Watzin 2010). Further, specialized foragers, such as white suckers, tend to be negatively affected more during sedimentation events, particularly when they are longer in duration, indicating that opportunistic species that feed across the water column may be more resilient to sedimentation than more specialized trophic groups (Sullivan and Watzin 2010). However, the mechanisms responsible for these patterns are complex and still not fully understood (Sullivan and Watzin 2010). In cases where streams are aggraded in patchy distributions, fish can often avoid higher sediment concentrations (Sullivan and Watzin 2010), but if the spatial distribution of suspended sediments is more uniform, then adverse effects via habitat alterations may be spread across multiple life stages (e.g., adults, nest building, egg development, and fry feeding) (Newcombe and Jensen 1996; Galbraith et al. 2006).

Several studies have found that exposure of fish to suspended solids can elicit a primary stress responses (PSR) by increasing both circulating and whole blood cortisol concentrations and levels, respectively (Redding et al. 1987; Humborstad et al. 2006; Sutherland et al. 2008; Rich 2010). There are fewer studies on the secondary stress responses (SSR) in fish exposed to SS and turbidity due to dredging, although three laboratory-based studies were reported in Rich (2010). Types of dredge-related studies conducted where tertiary stress responses (TSR) were used as endpoints consisting of seven field-based and seven laboratory-based studies (Rich 2010). It would seem an important avenue for further research given that the stress hormones, induced by PSR, can affect every organ and function of the body via SSR (Rich 2010). Changes in blood constituents, heart rate, metabolism, and osmoregulation are examples of SSR (Rich 2010). If the body is not able to re-equilibrate from the SSR then TSR result, e.g., lowered resistance to disease, slowed growth rate, and changes in behavior (e.g., avoidance) (Rich 2010).

In most estuaries, average concentrations of total suspended matter can range from a few mg/L to several tens of mg/L, with the higher concentrations occurring near the benthic layer in areas re-suspension (Auld and Schubel 1978). However, during short-term episodic events, like dredging or spoil disposal, concentrations may be greater than several thousand mg/L, particularly in the regions nearest the source of the event. Laboratory studies have indicated that there is a complex set of interactions among species, life stage, concentration, and duration. For example, survival is reduced in larval striped bass and yellow perch (Perca flavescens) during 48- to 96-h exposures of 2500 mg/L, but American shad are less tolerant (an exposure of >100 mg/L for the same duration reduced survival); concentrations of over 1000 mg/L affected the hatching success of white perch and striped bass, but lower concentrations had no effect (Auld and Schubel 1978). In another study, when Pacific herring (Clupea pallasi) were exposed to concentrations of 250–500 mg/L for the same duration, self-aggregation of the eggs led to both lethal and sublethal impacts (Griffin et al. 2009). However, Kiørboe et al. (1981) reported that no impacts were discovered on Atlantic herring (C. harengus) eggs when they were exposed to 5–300 mg/L at different stages of embryonic development.

A recent review of the biological effects of suspended sediments on fish and shellfish was conducted by Wilber and Clarke (2001) (Berry et al. 2003). Berry et al. (2003) synthesized the results of studies that report the dose–response relationships of estuarine aquatic organisms to suspended sediments and then related those findings to sediment conditions associated with dredging projects. Suspended sediment effects on invertebrates include: direct impacts due to abrasion, interference with respiration and ingestion by clogging of filtration mechanisms, and in extreme cases mortality from smothering and burial (Berry et al. 2003). EIFAC (1965) reported harmful levels of solids for Daphnia (Daphnia spp.): kaolinite at 102 ppm, montmorillonite at 82 ppm, charcoal at 82 ppm, and pond sediment at 1458 ppm (Bash et al. 2001). The distribution of infaunal and epibenthic species be impacted indirectly through light attenuation affecting feeding efficiency, behavior (avoidance and drift), and habitat alteration occurring from changes in the composition of substrate (Donahue and Irvine 2003; Waters 1995; Zweig and Rabeni 2001; Berry et al. 2003). Increases in suspended sediments (e.g., 120 mg/L) can result in increased drift, significantly altering the distribution of benthic invertebrates in streams (Herbert and Merkens 1961; Berry et al. 2003). Both the duration and degree of exposure (i.e., TSS) are important factors to consider with regard to determining the effects on aquatic organisms (Berry et al. 2003). Waters (1995) considers the effects of increased deposition of sediments on benthic invertebrates as one of the most important concerns within the sediment pollution issue, especially with regard to the dependence of freshwater fisheries on benthic productivity (Berry et al. 2003). Fine sediments, in suspension or when deposited, can negatively impact macrophytes (Yamada and Nakamura 2002; Kemp et al. 2011). Fish are also directly affected by fine sediment either in suspension or deposited on the substrate (Kemp et al. 2011). The suspended or deposited fine sediment can influence physiology and behavior, habitat availability, food supply, and ability to forage efficiently (Kemp et al. 2011). Some salmonid species move towards less turbid water (if available) after short-duration exposures (Berg and Northcote 1985; Kemp et al. 2011).

In freshwater systems, sediment management can have both direct and indirect impacts on species throughout the food web (Kemp et al. 2011). Direct impacts of sediment can include invertebrate mortality (e.g., via smothering) (Kefford et al. 2010). Further, suspended sediments can reduce dissolved oxygen and alter the trophic structure, which can cause the following: a reduction in planktonic and periphytic food sources; increased stress levels which can reduce feeding, growth rates; increased energetic costs; and lower immune system response to viral and bacterial infections (Redding et al. 1987; Shaw and Richardson 2001; Sutherland and Meyer 2007). With respect to setting sediment targets using loadings as a metric, Kemp et al. (2011) compiled five main constraints for identifying meaningful thresholds for freshwater fish, which included dependencies on the catchment (Walling 1995), reaches (Collins and Walling 2007), sediments, taxa, and life stage. Briefly, setting sediment targets requires a holistic, system-level approach. Managing sediments requires consideration of hydrogeomorphic setting of both the watershed and reach, understanding the sediment properties of the target location (e.g., fine clays and silts versus organics; contaminated versus uncontaminated) and the species that are being affected, and what life stages of those species would be affected during the time of the management actions (Berry et al. 2003).

Teasing out the impacts of the interacting components of the above-mentioned constraints can be a significant challenge because not only can exposure impact species and life stages differently, but these impacts can occur at different levels within species/life stages (e.g., genetic, physiological, and reproductive,) and can occur at different exposures. For example, physiological stress [measured as an increase immunoreactive corticosteroid (IRC) levels] was reported for all three life stages of two species [spotfin chub (Erimonax monachus) and whitetail shiner] when exposed to 100 mg/L (Sutherland et al. 2008). These results indicate that moderate sediment levels (i.e., 100 mg/L) can impact a species regardless of life stage. Similarly, Ayu (Plecoglossus altivelis) had a stress response (measured as changes in cortisol levels) response when it was exposed to concentrations of 200 mg/L for 3 h (Awata et al. 2011). Sediment size, shape, and composition have also been reported to impact freshwater fish (McLeay et al. 1987; Servizi and Gordon 1990; Servizi and Martens 1991; Lake and Hinch 1999; Bray 2000). Extremely angular and round sediments of more than 40 g/L were shown to cause decreased white blood cell concentrations at 96-h exposures in juvenile coho salmon (Lake and Hinch 1999).

Low levels of sediment may result in sublethal and behavioral effects such as increased activity, stress, and emigration rates; loss of or reduction in foraging capability; reduced growth and resistance to disease; physical abrasion; clogging of gills; and interference with orientation in homing and migration (as cited in McLeay et al. 1987; Newcombe and MacDonald 1991; Barrett et al. 1992; Lake and Hinch 1999; Bash et al. 2001; Watts et al. 2003; Vondracek et al. 2003; Berry et al. 2003; Muck 2010). Sediment fluxes are critical components of aquatic systems, and their dynamics are multidimensional and complex (Berry et al. 2003; Muck 2010). Maintaining these fluxes requires an understanding of the natural temporal and spatial processes as well as any anthropogenic drivers that can impact the system. For example, seasonal flows resulting from spring snowmelt are natural mechanisms that can mobilize the bed and move silt and sand from the coarse substrate (Osmundson et al. 2002), whereas dam-controlled flows might remove these high flows and affect species dynamics [as in the case of the endangered Colorado pikeminnow (Ptychocheilus lucius) which occurs on the heavily damned Colorado river, and whose recruitment has decreased as a result of changes in sediment loads resulting from dam operations] (Osmundson et al. 2002).

The degree of fish population declines is usually associated with the quantity of “fines” within a stream ecosystem (Castro and Reckendorf 1995; Muck 2010). Particles with diameters less than 6.4 mm are generally defined as “fines” (as cited in Bjornn et al. 1977; Shepard et al. 1984; Hillman et al. 1987; Chapman 1988; Bjornn and Reiser 1991; Rieman and McIntyre 1993; Castro and Reckendorf 1995b; The Montana Bull Trout Scientific Group (MBTSG) 1998; Muck 2010). There are a variety of negative impacts pertaining to fine sediments in streams, including: (1) loss of habitat for macroinvertebrates, i.e., fish prey (Rabeni et al. 2005; Wood et al. 2005), (2) physiological stress and direct physical damage for both fishes and macroinvertebrates (Newcombe and MacDonald 1991; Sutherland and Meyer 2007), (3) reduction in or elimination of reproductive habitat for benthic and crevice spawning fishes (Burkhead and Jelks 2001; Sutherland 2007), and (4) reductions in the locating and capturing prey ability of fishes due to visual impairment (Barrett et al. 1992; Zamor and Grossman 2007; Hazelton and Grossman 2009). According to Hazelton and Grossman (2009), stream fishes can be harmed by fine sediments through several mechanisms including: (1) decreased prey availability, (2) direct physical harm (Berkman and Rabeni 1987), (3) the risk of increased predation (Miner and Stein 1996), and (4) lowered breeding success (Burkhead and Jelks 2001; Sutherland 2007). Biotic responses to suspended sediment as a stressor are complex because they are dependent on: (1) both direct and indirect ecological effects, (2) species life histories, (3) species traits and differential tolerances, and (4) availability of habitat patch refugia (Schwartz et al. 2011), with refugia area being affected by suspended sediment itself. For example, combinations of flow and TSS concentration can alter habitat for several species. At average monthly flows and TSS concentrations of 150 mg/L, habitat for bluegill sunfish (Lepomis macrochirus) was reduced by half, whereas channel catfish (Ictalurus punctatus) and largemouth bass were affected similarly, but at concentrations of 200 mg/L and 100 mg/L, respectively (Stuber et al. 1982; Kundell and Rasmussen 1995).

Species that utilize pools or littoral areas can be impacted at different turbidity levels [i.e., 90 JTU for creek chub, and 180 JTU for green sunfish (Lepomis cyanellus)] (Kundell and Rasmussen 1995). Identifying biotic response measures that correlate with sediment stressor gradients is problematic (Nietch et al. 2005; Schwartz et al. 2011), primarily because of the possible multiple stressors that can occur in human impacted watersheds, e.g., temperature, toxic pollutants, hydromodification, nutrient enrichment, habitat alteration, degraded riparian condition, and land cover changes (Wichert and Rapport 1998; Sutherland et al. 2002; Walters et al. 2003; Rashleigh 2004; Halse et al. 2007; Magner and Brooks 2008; Schwartz et al. 2011). It also illustrated that each species’ traits and life history patterns have a unique relation to a suspended sediment environmental gradient, a gradient that is frequency and duration dependent (Schwartz et al. 2011). Suspended sediment can harm incubating fish eggs and fry (Cedarholm et al. 1982) and reduce the abundance of insect larvae, a food source for fish, by filling up the larvae’s guts or nets with indigestible material (Hynes 1973; Ward 1992).

Reproduction and epigenetics

Effects of suspended sediment on spawning are found in the scientific literature, although they are mainly associated with the deleterious effects of sediment on gametes and embryo viability. There appears to be limited information in the scientific literature specifically looking at the sublethal effects of suspended sediment and associated environmental conditions, including exposure times and frequencies, regarding fish gametes and transgenerational implications. Sopinka et al. (2014) and Taylor et al. (2015) are some of the few examples of research that has been conducted with intergenerational implications in mind in this case regarding the effects of stress on salmon, albeit not involving suspended sediment. These studies demonstrate an important step toward thinking beyond just the physically observable direct effects on the organisms experiencing the effects and investigate the consequences on subsequent generations as well.

Research by Sopinka et al. (2012) examined the effects of pollution on gametes in wild-caught plainfin midshipman (Porichthys notatus), offering an insight into the possible effects on sperm characteristics, egg viability, and embryo survival. In another study, mercury exposure resulted in direct and indirect (transgenerational) effects on mummichog, specifically, reduced male survival, reduced ability of the offspring of exposed fish to reproduce successfully, and altered sex ratios (Matta et al. 1999). Yi et al. (2008) studied the concentrations of heavy metals in fish, invertebrates, sediment, and the water in the Yangtze River during 2006–2007 and found that heavy metals were 100–10,000 times higher in the sediment versus the water (Yi et al. 2008). The concentrations of heavy metals in the tissues of benthic invertebrates were relatively high also (Yi et al. 2008).

Reproductive behaviour and physiology can be negatively impacted by aquatic contaminants (Sopinka 2010). For instance, contaminant mobilization, contaminant leaching, bioaccumulation, and trophic transfer through the food web could occur because of the dredging or disposal of contaminated sediments, but the expression of the impacts thereof in exposed biota may have a lag time (Nightingale and Simenstad 2001). Gamete viability has been used previously as an indicator of reproductive endocrine disruption in fish (Kime and Nash 1999). Sopinka (2010) examined impacts on sperm in plainfin midshipman (Porichthys notatus) and round gobies (Neogobius melanostomus) and found that living in contaminated areas influenced gamete quality, specifically, greater proportions of dead eggs, greater testicular asymmetry, and shorter sperm heads. Sundberg et al. (2007) found a correlation between hepatic DNA adducts, via polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs), and pollutant burden in Northern pike and European perch (Perca fluviatilis) eggs revealing a threat to early life stages of fish. In Texas, the Houston Ship Channel (HSC) and upper Galveston Bay (GB) have sediments contaminated with dioxin (Yeager et al. 2010), and elevated dioxin concentrations have been detected in fish and crabs, i.e., Houston Ship Channel (HSC) in 1990 (Crocker and Young 1990; Yeager et al. 2010). Recent research has shown that the most significant dioxin reservoir is located in the bottom sediments (Suarez et al. 2005; Yeager et al. 2007, 2010). Sediment re-suspension, such as that associated with dredging activities, may re-introduce dioxins into the food chain (Yeager et al. 2010).

The impacts of dredging operations on aquatic organisms are still poorly understood. Some studies have shown that dredging contaminated sediments increases particulate-matter-associated contaminants in waters next to or near to the dredge, producing deleterious effects on species that occupy those areas. (e.g., Bellas et al. 2007; Bocchetti et al. 2008; Engwall et al. 1998; Sundberg et al. 2007; Sturve et al. 2005; Yeager et al. 2010). In order to prevent or minimize exposure of certain organisms to the effects of dredging activities, environmental windows (EWs) have been put in place in certain circumstances by regulatory and resource agencies (Suedel et al. 2012). EWs can be described as certain times when dredging and dredge material placement activities can be performed (NRC, 2001; Suedel et al. 2012). In contrast, other studies, e.g., Suedel et al. (2012, 2014) reported that there were no statistically significant effects on walleye (Sander vitreus) egg viability and hatching rates nor detrimental effects to fry exposed to SS exposures mimicking sediment re-suspension during dredging operations. However, the authors of the aforementioned study do mention that a slight reduction in egg viability occurred at 500 mg/L TSS and that more research is needed regarding the potential sublethal effects in general. Further, Arambourou et al. (2014) noted that morphological abnormalities could appear after several generations of exposure. It is now known that some toxics, such as endocrine disruptors, can contribute to transgenerational developmental effects in aquatic organisms, such as in the Japanese rice fish, i.e., medaka (Oryzias latipes) (Gray et al. 1999; Zhang et al. 2008), leading to an increase in morphological (phenotypic) abnormalities in the offspring derived from the exposed parents (Arambourou et al. 2014).

It is known that sediments can serve as a carrier of many metals and toxic compounds, e.g., Pb, Cd, Zn, Cu, Al, Fe, Mn, Cr, and Ni (see e.g., Novotny and Chesters 1989; Kundell and Rasmussen 1995). Rivers contaminated by metals and organic substances have often been reported to be associated with an increased incidence of phenotypic defects, such as phenodeviation and fluctuating asymmetry (FA), particularly in invertebrates (Al-Shami et al. 2011; Bonada and Williams 2002; Groenendijk et al. 1998; Arambourou et al. 2014). Deposition of organic sediments can result in anaerobic conditions in rivers and streams by increasing the sediment oxygen demand (SOD) (Kundell and Rasmussen 1995). DNA damage in the male germ line has been linked to poor semen quality, low fertilization rates, impaired pre-implantation development, increased abortion, and an elevated incidence of disease in the offspring, including childhood cancer (as cited in Lewis and Aitken 2005). In addition, the cellular machinery that allows these cells to undergo complete apoptosis is progressively lost during spermatogenesis, so that the advanced stages of germ cell differentiation cannot be deleted, even though they may have proceeded some way down the apoptotic pathway (Gorczyca et al. 1993; McVicar et al. 2004). Consequently, the ejaculated gamete may exhibit genetic damage to both its nuclear and mitochondrial genomes (Sawyer et al. 2001, 2003). For instance, a study using zebrafish by Gosálvez et al. (2014) found that although sperm DNA fragmentation did not significantly influence oocyte fertilization capacity, it significantly and negatively affected later embryo development and overall reproductive success.

Many studies, e.g., Franklin and Mansuy (2010), Gillette et al. (2014), Christopher (2014), Gapp et al. (2014), and Missios et al. (2014), in mammals have shown that several stress-induced outcomes, such as DNA methylation and telomere length, can affect an individual’s health, thereby impacting successive generations and population dynamics. Exposure to environmental chemicals and heavy metals such as BPA and Cd can negatively affect both male and female reproduction, alter behavior, and act as a carcinogen with short-term and long-term effects that typically occur through epigenetic mechanisms such as DNA methylation or noncoding RNAs, as has been observed in several species (e.g., Dhimolea et al. 2014; Mileva et al. 2014; Liu et al. 2014; Tellez-Plaza et al. 2014; Ray et al. 2014). Chemicals and heavy metals can cause epigenetic changes (e.g., DNA methylation) and genetic changes (e.g., telomere length) resulting in decreased gamete production and gamete quality, thereby negatively influencing population dynamics (Franklin and Mansuy 2010; Gillette et al. 2014). Also, these epigenetic marks and subsequent adverse effects can be transferred to the offspring through the gametes (Weigmann 2014; Wei et al. 2015; Gapp et al. 2014).

Models

Over the last decade, quantitative modeling has been used increasingly to determine the impact of dredging operations on fish (Clarke and Wilber 2000; Rich 2010), although there have been few focused modeling studies that examine the system-level impacts of dredging on fish populations. Existing models have been highly criticized as unreliable (Gregory et al. 1993; Clarke and Wilber 2000; Rich 2010), based on high levels of uncertainty associated with data used for model parameterizations, a lack of understanding of threshold values for minimum and maximum durations/concentrations below or above which impacts would not occur, subjectivity of expert opinion and index values used in model parameterizations, unrealistic sediment concentrations used in model scenarios, not including other environmental parameters such as water temperature, dissolved oxygen, particle size, and particle shape, and lack of field-based empirical studies on which to validate the models, without which it is difficult to derive the driver–stressor–response pathways (Newcombe and Jensen 1996; Burkhead and Jelks 2001; Rich 2010).

In order to quantitatively examine the biological and ecological impacts of dredging-created sedimentation, a model must provide the structure to quantify the extent and timing of mixing along the sediment–water interface. However, developing this type of model is complicated because it is difficult to resolve the issues on determining available sediment concentrations in the water column and how those concentrations will affect fish dynamics. In the Great Lakes, walleye eggs and larvae have been reported to be affected by sedimentation, but empirical datasets are largely lacking and extensive laboratory dose–response data are unavailable (Germano and Cary 2005), aside from a few more recent studies [e.g., Suedel et al. (2012, 2014)]. For salmonids, Lisle and Lewis (1992) developed a model focusing on survival of salmonid embryos, and they concluded that further research was needed to resolve the interactions among sediment transport, the inter-gravel environment, and embryo survival. Germano and Cary (2005) indicated that the fidelity and scale of available sedimentation data do not have fine enough resolution to predict impacts on the early stages of fish development. However, the effects of embeddedness have been described on hatching salmonids (Waters 1995) and this has helped with guidance to maximize salmonid production based on bed composition (Lotspeich and Everest 1981; Caux et al. 1997; Germano and Cary 2005). Further, there have been numerous studies that summarized both direct and indirect effects of sediments on other species (as summarized in Berry et al. 2003), but few have been synthesized into large-scale models. Dynamic energy budget (DEB) models (Noonburg et al. 1998; Nisbet et al. 2000) are designed to predict effects of stress on organism growth and survival, but have yet to be applied to dredging-created impacts on fish populations (Germano and Cary 2005).

Newcombe and McDonald (1991) proposed a dose–response model, but the major problem with the proposed model was the simplicity, subjectivity of ranked responses, and lack of a well-defined mathematical model (Bray 2000). Gregory et al. (1993) had several criticisms of the Newcombe and McDonald (1991) model. First, there was a large variance in the data compiled by Newcombe and McDonald (1991), inherently reducing the model’s predictive power of the model. A validation procedure was also lacking in the Newcombe and McDonald (1991) model for comparing the actual field observations with model predictions (Bray 2000). Another criticism of the Newcombe and McDonald (1991) model was that it did not have established threshold durations or concentrations beyond which impacts would not occur (Bray 2000). Gregory et al. (1993) pointed out that suspended sediment impacts will be variable not only with species, but also with life stage (Bray 2000), an aspect lacking in the Newcombe and McDonald (1991) model. Further, significant variables like water temperature and sediment size were not included in Newcombe and McDonald’s (1991) model formulation, although such variables may play a major role in an organism’s response to suspended sediments (Gregory et al. 1993).

In a subsequent modeling effort, Newcombe and McDonald (1993) reformulated the model with regard to the listing of ranked severity of ill effects, defining specific thresholds levels, behavioral effects, sublethal effects, and lethal effects (Bray 2000). Newcombe and McDonald (1993) also utilized data from a study by Servizi and Martens (1992) to show that impact on biological response for a particular species can vary by life stage. By pooling data from the scientific literature, from approximately 264 field studies, Newcombe and Jensen (1996) improved the SEV model in their last revision (see lethal and paralethal effects, concentrations and duration data for different species). Bray (2000) points out that definitions of appropriate recovery times associated with exposure of salmon species to SSC levels, i.e., thresholds, would be very useful for assessing biological impact from the Newcombe and Jensen (1996) model results, since this aspect was not accounted for in the model.

A clearer understanding of dredging, and consequently suspended sediments, effects to fish requires a synthesis of life history strategies, behavior and movement, physiology, organismal-level short-term effects, and ecological endpoints (i.e., lethality, epigenetic effects). Figure 1 illustrates the conceptual model of the effects of suspended sediments on fish that was developed based on the available literature.

Fig. 1
figure 1

Conceptual model of the effects of suspended sediments on fish

Conclusion

Future modeling efforts are required to build upon the criticisms of model shortcomings and simplistic assumptions utilized in some of the past modeling efforts. Given recent advances in spatially explicit agent-based modeling, pattern-oriented modeling, and inverse modeling techniques, more realistic and informative models can be constructed and implemented that can project long-term effects (positive or negative) of sediment interactions with aquatic species. However, explicit regard to not only the organism itself but also transgenerational implications should be investigated and included in future modeling efforts.

Future efforts should focus on developing an understanding of whether environmental disturbances like dredging may lead to epigenetic changes, which can lead to population effects. Such research will be useful in decreasing uncertainty surrounding potential long-term effects of chemicals and heavy metals in the environment in both risk assessments and life cycle analyses. TSS and stress response information with regard to transgenerational and epigenetic implications is needed for more informed long-term management, as well as for assessing if cryptic, physiological non-observable manifestations of stress could threaten fish populations as well as species.