Shallow Eutrophic Lake Research Articles

Effect of <i>Pomacea canaliculata</i> grazing on three submerged macrophytes and the related physicochemical factors

外来种福寿螺（Pomacea canaliculata）相较我国本土螺类其牧食量更大且繁殖速度更快，对栖息地水生植物的现存量和实施水生植被恢复的生态治理工程的成功性可能构成威胁，目前对福寿螺影响浅水湖泊沉水植物的重建缺乏足够的研究.本文通过设置不同沉水植物种类组合系统，研究福寿螺对3种常用于浅水富营养化湖泊治理的沉水植物密刺苦草（Vallisneria denseserrulata）、轮叶黑藻（Hydrilla verticillata）、穗花狐尾藻（Myriophyllum spicatum）的牧食偏好以及不同植物配置系统理化因子的响应变化，结果表明福寿螺对沉水植物植株附着偏好为密刺苦草>轮叶黑藻>穗花狐尾藻，而牧食破坏强度为轮叶黑藻>穗花狐尾藻>密刺苦草，轮叶黑藻最容易受到福寿螺牧食影响而快速消亡，穗花狐尾藻叶片也会被全部牧食仅剩下茎，而苦草存活受到的影响较小.福寿螺会导致轮叶黑藻+密刺苦草组合系统中总氮、氨氮、总磷、正磷酸盐浓度显著升高，而密刺苦草+穗花狐尾藻组合中总磷、正磷酸盐浓度显著升高，但是在轮叶黑藻+穗花狐尾藻组合中仅总氮浓度显著升高.研究表明福寿螺能够影响沉水植物间的竞争关系，但是3种沉水植物均不能阻止福寿螺的牧食；福寿螺牧食会显著降低沉水植物生物量，最终会影响草型清水态系统的稳定性.;Compared with native snails in China, Pomacea canaliculata snails exert a higher grazing pressure on plants and have faster growth and reproduction rates, which may negatively affect aquatic plants' standing stock and ecological reestablishment. However, few studies have examined the potential effects of the presence of P. canaliculata on submerged macrophyte reestablishment. In this study, we assessed the preference of P. canaliculata for three submerged plants, namely Vallisneria denseserrulata, Hydrilla verticillata, and Myriophyllum spicatum—which have been largely planted for recovering Chinese eutrophic shallow lakes. The results indicated that the attachment preference of P. canaliculata for submerged macrophytes was in the following order: V. denseserrulata>H. verticillata>M. spicatum. Moreover, P. canaliculata grazing negatively affected plant survival in the following order of magnitude: H. verticillata>M. spicatum>V. denseserrulata. H. verticillata was the most vulnerable to snail grazing and died out rapidly. M. spicatum leaves had been completely consumed by the end of the experiment. V. denseserrulata was the least influenced by P. canaliculata. Compared with the controls, the concentrations of total nitrogen (TN), ammonia nitrogen (NH₃-N), total phosphorus (TP), and soluble reactive phosphate (SRP) were higher with the H. verticillata + V. denseserrulata treatment; TP and SRP concentrations were higher with the V. denseserrulata + M. spicatum treatment; and TN concentrations were higher with the V. denseserrulata + M. spicatum treatment. These results suggest that the grazing preference of P. canaliculata alters the competitive advantage of submerged macrophyte. However, none of the submerged macrophytes prevented P. canaliculata grazing, resulting in decreases in the production of the submerged macrophytes and in the likelihood of clear-water state establishment.

Analysis of optimal environmental conditions for Microcystis blooms in large, shallow, eutrophic lakes

Harmful algal blooms caused by cyanobacteria have detrimental impacts on lake ecosystems. Uncovering the factors influencing such blooms could facilitate aquatic ecosystem conservation and early warning activities. The experiment simulated the environmental characteristics of shallow eutrophic Lake Ulansuhai in arid regions of China. The experiments were conducted at various temperatures (6, 10, 19, 25°C) and different nutrient conditions (N: 1∼6 mg/L, P: 0.05∼1.00 mg/L) and in the presence of water, algae, and sediment under various disturbance levels (0, 100, 200, 250, 300, 350, 400 rpm). In this study, The optimal Microcystis growth conditions observed in the study were as follows: 19°C ≤ temperature ≤ 25°C; 1.0 mg/L ≤ N ≤ 1.6 mg/L; 0.05 mg/L ≤ P ≤ 0.1 mg/L; 16 ≤ N/P ≤ 20; and lake flow velocity = 10 cm·s−1 (200 rpm). The most suitable pH for the growth of Microcystis is 8.5. Investigating the environmental factors that affect the growth of bloom-forming cyanobacteria could aid the development of early warning systems and guide lake restoration activities under climate warming, N:P imbalance, and varying lake velocity scenarios.

Interactive effects of bitterling fish and mussel on the community structures of plankton and benthic macroinvertebrates

放养河蚌，提高水体透明度以促进沉水植物生长，是湖泊生态修复中的常用手段之一.而小型杂食性鱼类鳑鲏依赖河蚌繁殖，河蚌放养可能会促进鳑鲏种群的发展；而鳑鲏与河蚌交互作用对水生态系统的影响仍研究较少.于2018年11—12月通过原位受控实验，设置对照组、河蚌组、鳑鲏组和河蚌+鳑鲏组，研究了鳑鲏（大鳍鱊Acheilognathus macropterus）与河蚌（背角无齿蚌Sinanodonta woodiana）对水质、浮游生物和底栖生物的影响.结果表明：鳑鲏显著增加了上覆水总氮、总磷、悬浮质和叶绿素a（Chl.a）浓度；但并未显著影响无机悬浮质的浓度，说明鳑鲏对沉积物的扰动作用较弱.此外，鳑鲏显著增加了浮游植物生物量和蓝藻的比例.浮游动物总生物量并未受鳑鲏的影响，但显著增加了浮游动物的丰度，其中以轮虫为主.鳑鲏组的底栖动物总丰度（主要为水丝蚓）显著高于对照组，说明鳑鲏对水丝蚓的摄食压力较低.鳑鲏与河蚌交互作用对总磷、Chl.a、浮游植物和浮游动物丰度具有显著影响：具体表现为河蚌虽然抵消了部分鳑鲏对水质（如氮、磷和悬浮质浓度，以及Chl.a浓度和浮游植物生物量等）的负面影响，但其对浮游动物和水丝蚓生物量的影响不显著.在湖泊生态修复和管理中，需要关注和重视鳑鲏等此类小型杂食性鱼类对水生态系统可能产生的负面影响，通过物理（网簖等）或生物（放养肉食性鱼类）等方式将其控制在较低密度水平，从而降低这些鱼类对水质、浮游生物和底栖生物群落可能产生的负面影响，维持生态修复效果的长效与稳定运行.;In restoration of shallow eutrophic lakes based on recovery of submerged macrophytes, stocking of the filter-feeding mussels has been commonly used for improving water clarity, thereby enhancing the growth of submerged macrophytes. However, the small omnivorous bitterling fish has to rely on mussels for breeding. Thus, the increased abundance of mussels may enhance the population development of bitterling. Nevertheless, the effects of bitterling (Acheilognathus macropterus) and their host mussels (Sinanodonta woodiana) on the aquatic ecosystems are, so far, not well-studied. We conducted a mesocosm experiment to study the effects of bitterling, mussels, and their interactions on water quality and the community structures of phytoplankton, zooplankton and benthic macroinvertebrates, respectively. Our results showed that bitterling did not substantially affect the concentration of inorganic suspended solids (ISS) indicating weak effects on sediment resuspension. However, the concentrations of total nitrogen and total phosphorus were significantly enhanced by bitterling. Consequently, both the abundance and biomass of phytoplankton were enhanced in the bitterling-only mesocosms, and cyanobacteria dominated the phytoplankton community at the end of the experiment. However, rotifers dominated the zooplankton community leading to a higher abundance of zooplankton in the bitterling-only treatment, while the total biomass of zooplankton did not differ significantly between the control and bitterling-only treatments. Moreover, bitterling significantly increased the total abundance of benthic macroinvertebrates compared with the controls, while the biomass of macroinvertebrates was not pronouncedly affected. The presence of mussels significantly eliminated the negative effects induced by bitterling, such as reducing the concentrations of nutrients, suspended solids and chlorophyll-a and phytoplankton biomass. However, the biomass of zooplankton and benthic macroinvertebrates were not substantially affected by the presence of mussels. Our results suggest that bitterling alone can induce significantly negative effects on water quality though mussels can eliminate part of these impacts under our experimental bitterling-to-mussel biomass ratio. Therefore, in the restoration and management of shallow lakes, more attention should be paid on the effects of small omnivorous fish, like bitterling, on aquatic ecosystems. The biomass of these small omnivores should be controlled at a relatively low level by physical (e.g., trap net) or biological (e.g., stocking of effective piscivorous fish) methods to minimize the negative effects of the fish on lake ecosystems.

Dramatic temporal variations in methane levels in black bloom prone areas of a shallow eutrophic lake

Global lakes serve as a key natural source of methane (CH4) and suffer from increasing hypoxia due to unprecedented anthropogenic activities and climate change. A black bloom is a temporary hypoxia triggered by a longstanding algal bloom, which facilitates CH4 production by creating reducing conditions and abundant algae-sourced organic carbon. One-year investigations were conducted to examine temporal CH4 dynamics in the water and sediment pore water in black bloom prone areas (BBPAs) in Lake Taihu, China, where there had been at least two recorded black bloom events. The CH4 in the water changed significantly with time (p < 0.001), with the highest concentrations appearing in warm months when an abnormal lower dissolved oxygen content was observed at different sites, which were one to two orders of magnitude higher than other months. Compared with the control site, there were significantly higher CH4 concentrations in BBPA waters (p < 0.001), which was consistent with the higher CH4 in the sediment pore water. Methane dynamics in the water showed significant positive correlations with temperature, total phosphorus, total nitrogen, ammonia-N, and soluble reactive phosphorus (p < 0.05), but showed a significant inverse correlation with dissolved oxygen (p < 0.01). Redundancy analysis indicated dissolved oxygen made the largest contribution to CH4 dynamics in the BBPAs. A significant increase in the CH4 in water will turn BBPAs into temporary hot spots with substantial CH4 emissions with the appearance of black blooms. The results provide new insights into understanding future CH4 dynamics under globally prevailing algal blooms and climate change.

Restoring shallow lakes impaired by eutrophication: Approaches, outcomes, and challenges

Shallow lake ecosystems are widely impaired by eutrophication. Lake restoration projects frequently fail or are only partially successful, reflecting that environmental managers face difficult challenges in addressing this complex problem. Key uncertainties relate to selecting appropriate methods and predicting the resulting response trajectory, that is, “what should be done, how much improvement should be expected, and how long will it take?” This review critically evaluates approaches applied to address eutrophication in shallow lakes. A set of shallow lake restoration case studies from across the globe, involving moderate to high effort monitoring, was evaluated to determine common features and to identify advantages/disadvantages and drivers of successful restoration projects. Approaches are broadly grouped into four categories: 1) external nutrient load reductions, 2) internal nutrient load reductions, 3) biomanipulation, and 4) hydrological manipulations. Case studies highlight that external load reduction is an essential component of successful restoration, although supplementary measures can support restoration goals. To inform planning and help set realistic expectations, the following key challenges to the restoration of shallow lakes were identified: 1) insufficient reductions in external nutrient loads, 2) biogeochemical lags, 3) resistance of a stable, algal-dominated state due to hysteresis in the turbidity–nutrient load relationship, 4) delayed macrophyte reestablishment, 5) climate change, 6) need for lake-specific approaches, and 7) social and political shortcomings. Managing these challenges is crucial to the success of shallow lake restoration projects.

Diverse responses of hydrodynamics, nutrients and algal biomass to water diversion in a eutrophic shallow lake

Water diversion has been increasingly applied to accelerate lake water exchange and alleviate urgent water crisis. However, effects of water diversion on water exchange and water quality for eutrophic lakes remain controversial. In this study, a three-dimensional hydrodynamic-water quality-sediment diagenesis model has been developed to assess effects of water diversion on hydrodynamics and water quality in eutrophic shallow Lake Wanghu. Results suggested that water diversion could dramatically promote water exchange and reduce residence time in most lake regions but its influence on water quality was diverse. A water transferring flow rate of 20–30 m3/s could reduce water age to 40–58 days during regular water diversion operation, whereas a high transferring flow rate of 100 m3/s was the best for emergency operation in late spring before the wet season. Moreover, nutrients and Chlorophyll-a exhibited notable spatial heterogeneity in improvement efficiency. Nutrients level in the donating system was a prerequisite to the relationship among water transport time scales, nutrients, and algal biomass in this eutrophic lake. During a clean water diversion, nutrients and algal biomass were positively associated with water age. However, when the donating system contained high level of nutrients, accumulated nutrients in the lake may still trigger algal bloom after a temporary relief due to flushing effect. Therefore, these water diversion strategies could be applied to guide a sustainable management of eutrophic Lake Wanghu in terms of transferring flow rate, wind fields, water quality in the donating system, transferring operation, and water diversion route.

Ecosystem stability and water quality improvement in a eutrophic shallow lake via long-term integrated biomanipulation in Southeast China

Biomanipulation is one of the most promising measures in ecological restoration and used to mitigate eutrophication in water bodies. Current biomanipulation methods, such as traditional biomanipulation (based on large-size zooplankton) and non-traditional biomanipulation (based on filter-feeding fish), are often carried out independently and focus on algae control. Integrated biomanipulation, including traditional and non-traditional biomanipulation, was implemented in Longhu Lake, a drinking water source, to successfully control cyanobacterial blooms and improve water quality for 20 years. In order to study the mechanism of algae control and the ecosystem stability, we analysed the effects of integrated biomanipulation and single-biomanipulation on the phytoplankton community and the ecosystem via model simulation. The results revealed that compared with the other single-biomanipulation scenarios of ‘filter-feeding fish biomanipulation’, ‘omnivorous fish biomanipulation’, ‘piscivore biomanipulation’, and ‘without biomanipulation’, integrated biomanipulation combined the advantages of traditional and non-traditional biomanipulation. In this case, cyanobacteria biomass (4.5 ton/km2) was kept at a low level, although the biomass of small phytoplankton was high. The slope of trophic-levels spectrum was low (18.54%), and the biomass distribution of the community was balanced (less ‘up-and-down’). The energy flow transfer efficiency of food web was as high as 14.1% and the ratio of grazing food chain and detrital food chain was close to 1:1. The ascendency was better than other scenarios. These data indicated that the ecosystem after integrated manipulation was more stable and mature than that other single-biomanipulation. Moreover, integrated biomanipulation could substantially increase fishery income. Integrated biomanipulation can therefore be used to meet the requirements of sustainable development, especially in tropical and subtropical eutrophic lakes used as drinking water source.

Response of community composition and biomass of submerged macrophytes to variation in underwater light, wind and trophic status in a large eutrophic shallow lake

Light climate is of key importance for the growth, community composition of submerged macrophytes in lakes and, they, in turn, are affected by lake depth and the degree of eutrophication. To test the relationships between submerged macrophyte presence and the ratio of Secchi disk depth (SDD) to water depth, i.e. SDD/depth, nutrients and wind, we conducted an extensive sampling campaign in a macrophyte-dominated area of the eastern region (n = 36) in 2016 in Lake Taihu, China, and combined the data gathered with results from extensive physico-chemical monitoring data from the entire lake. We confirmed that SDD/Depth is the primary factor controlling the community composition of macrophytes and showed that plant abundance increased with increasing SDD/Depth ratio (p < 0.01), but that only SDD/Depth > 0.4 ensured growth of submerged macrophytes. Total phosphorus and total nitrogen also influenced the growth and community composition of macrophytes (p < 0.01), while Chla was an indirectly affecting factor by reducing underwater light penetration. Wave height significantly influenced plant abundance (p < 0.01), whereas it had little effect on the biomass (p > 0.05). The key to restore the macrophyte beds in the lake is to reduce the nutrient loading. A decrease of the water level may contribute as well in the shallow bays but will not bring plants back in the main part of the lake. As the tolerance of shade and nutrients varied among the species studied, this should be taken into account in the restoration of lakes by addition of plants.

Nitrogen budget at sediment–water interface altered by sediment dredging and settling particles: Benefits and drawbacks in managing eutrophication

Internal nitrogen (N) loading of lakes is commonly controlled by sediment dredging, although its comprehensive effect on internal N loading remains unclear. Herein, we examined the long-term effects of sediment dredging on internal N loading from a new perspective on the N budget at the sediment–water interface (SWI) through a simulation of field dredging performed by incubating intact sediment cores from a shallow eutrophic lake (Lake Taihu). We further evaluated the role of settling particles (SP) in the recovery of N cycle processes after dredging and its potential impact on the N budget. Our results demonstrated that dredging could help reduce organic matter and total N in sediments; improve the redox environment of the SWI; slow down N mineralization, N fixation, denitrification, and anaerobic ammonia oxidation (anammox); and alter the N budget at the SWI and the contribution of various N cycle processes. However, the input of SP enriched in fresh organic matter and N could accelerate the recovery of N cycle processes at the SWI, reducing the variation in the N budget and the contribution of each N cycle process caused by dredging. Dredging significantly reduced the N flux at the SWI, which was evident from the reduction of inorganic N release flux and N removal through denitrification and anammox. Therefore, sediment dredging has its advantages and disadvantages in managing internal N loading in lakes. To maintain a long-term control on the release of internal N through sediment dredging, measures should be taken based on the in-lake and watershed to inhibit the inflow and settlement of particulate matter.

Evaluating the effect of CFH-12® and Phoslock® on phosphorus dynamics during anoxia and resuspension in shallow eutrophic lakes.

Laboratory experiments with intact sediment cores from a hypertrophic very windy exposed shallow lake were conducted to assess the combined effect of anoxia and sediment resuspension on phosphorus (P) dynamics after adding different P adsorbents (CFH-12® and Phoslock®). In this study we hypothesize that the addition of geoengineering materials will increase P retention in the sediment even at the worst physic-chemical conditions such as anoxia and sediment resuspension. Both adsorbents significantly reduced the P release from the sediments after a 54 days-anoxic incubation period (CFH-12® by 85% and Phoslock® by 98%) and even after resuspension events (CFH-12® by 84% and Phoslock® by 88%), indicating that both adsorbents are suitable P inactivating agents for restoring shallow eutrophicated lakes under such circumstances. CFH-12® did not release dissolved Fe to the water column neither after the anoxic period nor after resuspension events compared to Control (no adsorbents addition). The La concentration was significantly higher in Phoslock® (3.5-5.7μgL-1) than in Control at all sampling days but it was not affected by resuspension. The high efficiency in P removal under anoxia and resuspension, the low risk of toxicity and the high maximum adsorption capacity makes CFH-12® a promising adsorbent for lake restoration. Nevertheless, further research about the influence of other factors (i.e. pH, alkalinity, interfering substances or strict anoxia) on the performance of CFH-12® is needed.

Using Freshwater Bivalves (Corbicula Fluminea) to Alleviate Harmful Effects of Small-Sized Crucian Carp (Carassius Carassius) on Growth of Submerged Macrophytes during Lake Restoration by Biomanipulation

Increased recruitment of small-sized fish following biomanipulation by reducing the biomass of plankti-benthivorous fish, not least in (sub)tropical lakes, may deteriorate water quality and thereby potentially hamper the recovery of submerged macrophytes. Filter-feeding bivalves remove suspended particles from the water and may, thereby, somewhat or fully counteract this negative effect of the increasing abundance of small-sized fish. So far, only few studies have investigated the interactive effects of fish and bivalves on water clarity and macrophyte growth. We conducted a 2 × 2 factorial designed outdoor mesocosm experiment with two densities of small crucian carp Carassius carassius (low 10 g m−2 and high 40 g m−2) and two densities of bivalves Corbicula fluminea (low 204 g m−2 and high 816 g m−2). We found significant interactive effect of fish and bivalves on the growth of the macrophyte Vallisneria natans. In the low density bivalve regime, the relative growth rates, root mass, root:shoot ratio and number of tubers were 30.3%, 30.8%, 21.6% and 27.8% lower in the high than in the low density fish treatments, while the decrease was less pronounced in the high density bivalve regime: 1.2%, 8.7%, 2.1% and 13.3%, respectively. Thus, bivalves reduced the negative effects of fish, not least when bivalve density was high. The weaker effects of small fish on plants in the high- than in the low-density C. fluminea regime can be attributed to lower total suspended solids (TSS) and Chl a in the first week of the experiment. Better light conditions further stimulated the growth of benthic algae, potentially increasing the removal of nutrients from the water and reducing fish-driven resuspension of the sediment. In addition, high densities of C. fluminea also enriched the sediment total nitrogen (TN) and total phosphorus (TP) content, favouring plant growth as indicated by an increase in leaf tissue TN and TP contents. Our results demonstrate that filter-feeding bivalves can alleviate harmful effects of small fish by prolonging a clear-water state that facilitates submerged macrophyte growth. Addition of the bivalve C. fluminea can be a promising tool for the restoration of submerged macrophytes in shallow eutrophic lakes, in particular lakes containing small, rapidly reproducing fish that due to their small sizes are not capable of controlling the bivalves.

Spatial variations in diffusive methane fluxes and the role of eutrophication in a subtropical shallow lake

Shallow lakes account for most of the diffusive CH4 emissions from global lakes, and they also suffer from eutrophication worldwide. Determining the effect of eutrophication on diffusive CH4 fluxes is fundamental to understanding CH4 emissions in shallow lakes. This study aimed to investigate the spatial variations in diffusive CH4 fluxes and explore the role of eutrophication in Lake Chaohu, a large and shallow eutrophic lake in the lower reaches of the Yangtze River. A one-year field observation was carried out to examine CH4 concentrations in the sediment and water and the diffusive fluxes of CH4 across the sediment-water interface (Fs-w) and water-air interface (Fw-a). Both Fs-w (0.306–1.56 mmol m−2 d−1) and Fw-a (0.097–0.529 mmol m−2 d−1) were upward and showed significant spatial heterogeneity and were significantly positively correlated. Parameters related to eutrophication had significant positive relationships with Fw-a, and the total phosphorus distribution in the water explained the greatest proportion of the spatial variation in Fw-a. Distance to shore and water depth were inversely correlated with Fw-a and modified the effects of eutrophication. Overall, the results provide direct evidence of the key role of eutrophication in shaping the spatial distribution of diffusive CH4 fluxes and a scientific basis for predicting changes in CH4 emissions with future eutrophication changes in shallow lakes in subtropical zones.

Functional traits of submerged macrophytes in eutrophic shallow lakes affect their ecological functions

Trait-based approaches have been widely used to explore the relationships between submerged macrophytes and their surrounding environments. However, the effects of functional traits on ecological functions of submerged macrophytes in eutrophic lakes are still not well understood. Here, 1745 individuals of eight dominant submerged macrophyte species in 19 Yangtze floodplain lakes were collected and classified as needle-leaf (Myriophyllum spicatum, Ceratophyllum demersum, Stuckenia pectinatus, Najas minor) or flat-leaf (Vallisneria natans, Hydrilla verticillata, Potamogeton wrightii, Potamogeton maackianus) types according to photosynthetic trait-based cluster analysis. The flat-leaf type submerged macrophytes possessed greater photosynthetic (e.g. higher Fv/Fm) and morphological traits (e.g. higher SLA), while the needle-leaf types held greater stoichiometric traits (e.g. higher plant N/P). Moreover, the RDA analysis indicated that water depth (distribution depth of submerged macrophytes) was the key factor influencing functional traits of flat-leaf types, while it was water quality (e.g. WTP and WChl a) for the needle-leaf types. Furthermore, the flat-leaf types showed better performance in improving underwater light conditions (e.g. SD, Kd, Zeu/WD and Red/Blue) and water quality (e.g. WChl a and TSM). Additionally, distribution depth (WD) of the flat-leaf types was shallower than the needle-leaf types in eutrophic shallow lakes along the middle-lower reaches of the Yangtze River. Our study highlights that functional traits of submerged macrophytes in eutrophic shallow lakes affect their ecological functions.

Stability of plankton community structure in a long-term biomanipulated eutrophic shallow lake in southeast China: Evidence from particle size spectra

To characterize the plankton size structure and evaluate plankton community stability in Longhu Lake, a shallow eutrophic lake in southeast China that has been biomanipulated for ~20 years, the biomass-size spectra of the plankton were seasonally studied from August 2017 to November 2018. The plankton-size spectra revealed a typical bimodal structure in all seasons. The higher peak consisted of small-sized phytoplankton ranging from 10 to 30 μm, while the lower peak consisted mainly of rotifers and ciliates ranging from 66 to 83 μm. Compared with other eutrophic lakes, the size classes of the bimodal structure in Longhu Lake were relatively smaller, indicating individual miniaturization in the lake's plankton community. There was also a trough in the 90 to 370 μm region of the size spectra, indicating a low biomass for crustacean zooplankton in the lake. The slope (b = −1.27 ± 0.04) of the normalized size spectra was lower than that of the theoretical equilibrium state (b = −1), suggesting high energy transfer from the large phytoplankton (>30 μm) and zooplankton (>90 μm) to the planktivorous silver and bighead carps via filter feeding. Although the seasonal size spectra fluctuated with the water temperature (positively) and nutrients (negatively) in Longhu Lake, their patterns and coefficients of determination did not significantly vary with the seasons (R2 = 0.98 ± 0.01, p < 0.05), indicating the plankton community is stable in this long-term biomanipulated eutrophic lake.

Analysis of the Principal Factors Affecting the Algae Growth in an Urban Eutrophic Shallow Lake by an Ecosystem Model

The growth of algae in eutrophic lakes is greatly influenced by the various factors such as nutrients, water temperature, and solar radiation intensity. In order to manage and maintain the ecosystem in the lakes, it is necessary to understand the dynamics of the nutrients as well as the factors affecting the algae growth seasonally. In this study, an ecosystem model based on the genetic algorithm (GA) for the optimization of the parameters during the model validation was developed to simulate the growth of algae groups (green algae, blue-green algae, and diatom algae) and analyze the principal factors affecting their growth in a eutrophic shallow lake in the inner Hanoi City. The survey of each algal group and other related variables of water quality were conducted from May 2017 to March 2018 to calibrate and verify the developed model. The principal factors affecting the algae growth were evaluated through the functions that limit their growth. Seasonal variation in the production components (including diffusion from sediment, atmosphere, and algae excretion) and consumption (photosynthesis) of dissolved inorganic phosphorus (DIP) are also quantified. Moreover, the model developed in this study promises to be a useful tool to simulate the relationship between algae biomass and nutrient concentration, as well as forecasting changes in composition and density of algae in the eutrophic lakes.

Detecting changes in statistical indicators of resilience prior to algal blooms in shallow eutrophic lakes

AbstractAlgal blooms in lakes and reservoirs can be considered regime shifts from a clear‐water to algae‐dominated state that often occurs abruptly. Under experimental conditions, these regime shifts have been predicted from rises in variance and autocorrelation (generic resilience indicators) of state variables monitored at a high frequency. The goal of this study was to evaluate the behavior of resilience indicators prior to a critical transition in lakes that naturally experience algal blooms. Ambient lake conditions provide several potential hurdles that could inhibit the detection of meaningful changes in resilience indicators prior to a critical transition such as stochastic nutrient loading, spatial complexity, and decreased resilience due to higher baseline nutrient concentrations. We compiled five lake‐years of high‐frequency monitoring of chlorophyll a, phycocyanin, dissolved oxygen, and pH from four hypereutrophic lakes. Despite the factors that might hinder detecting statistical indicators of changing resilience in hypereutrophic ecosystems, we found that a rise in resilience indicators did occur prior to a critical transition in three out of four possible lake‐years, with rise beginning between 5 and 33 d prior. In one lake‐year, a critical transition occurred soon after the monitoring began, preventing detection of rising variance or autocorrelation signals which are calculated using a 21‐d rolling window. These results add to the growing body of evidence that rises in resilience indicators can be detected in ecosystems prior to a regime shift if monitoring programs are properly designed to capture the dynamics; however, continued research is needed to better understand the conditions under which resilience indicators may be useful as an early warning detection tool for lake management.

The Influence of Ship Waves on Sediment Resuspension in the Large Shallow Lake Taihu, China.

Sediment resuspension induces endogenous nutrient release in shallow lakes, which has been demonstrated to be associated with eutrophication. In addition to natural wind-driven resuspension, navigable shallow lakes (such as Lake Taihu, China) also experience resuspension from human activities, such as ship waves. Both processes determine the intensity, frequency, and duration of sediment resuspension, and may consequently affect the pattern of cyanobacteria blooms in the lake. In this study, acoustic Doppler Velocimeter (ADV), Optical Backscatter Sensor (OBS), and temperature wave tide gauge (instrument model :RBR duo TD|wave) were placed in an observation platform in the lake to obtain high-frequency flow velocities, suspended sediment concentration (SSC), and wave parameters before, during, and after a cargo ship passed by. We found that the ship wave disturbance intensity is greatly influenced by the draft depth. The movement generated by ship disturbance is primarily horizontal rather than vertical. Compared with the wind-induced wave, the disturbance caused by the ship waves has a high intensity, short duration, and narrow range of influence. The maximum total shear stress under ship disturbance can reach 9~90 times the critical shear stress under a natural state. Therefore, the effect of ship waves on sediment resuspension near the channel of Lake Taihu is much greater than that of wind-induced waves. These findings represent an important step towards understanding the quantitative relationship between ship wave disturbance and sediment resuspension, and lay the foundation for future research in order to understand and control the eutrophication of shallow lakes.

Comparison between best-response dynamics and replicator dynamics in a social-ecological model of lake eutrophication

Social-ecological models are often used to investigate the mutual interactions between an ecological system and human behaviour at a collective level. The social system is widely represented either by the replicator dynamics or by the best-response dynamics. We investigate the consequences of choosing one or the other with the example of a social-ecological model for eutrophication in shallow lakes, where the anthropogenic discharge of pollutants into the water is determined by a behavioural model using the replicator or a best-response dynamics. We discuss a fundamental difference between the replicator dynamics and the logit formulation of the best-response dynamics. This fundamental difference results in a different number of equilibria. We show that the replicator equation is a limit case of the best-response model, when agents are assumed to behave with infinite rationality. If agents act less rationally in the model using the best-response dynamics, the correspondence with the model using the replicator dynamics decreases. Finally, we show that sustained oscillations observed in both cases may differ substantially. The replicator dynamics makes the amplitude of the limit cycle become larger and makes the system come closer to full cooperation or full defection. Thus, the dynamics along the limit cycle imply a different risk for the system to be pushed by a perturbation into a desirable or an undesirable outcome depending on the socioeconomic dynamics assumed in the model. When analyzing social-ecological models, the choice of a socioeconomic dynamics is often little justified but our results show that it may have dramatic impacts on the coupled human-environment system.

Spatiotemporal Variations in Nutrient Loads in River-lake System of Changdang Lake Catchment in 2016-2017

Eutrophication of shallow lakes in the middle and lower reaches of the Yangtze River has become an increasingly serious problem. In this study, we investigated the temporal and spatial variations in nutrient loads (nitrogen, N and phosphorus, P) in the Changdang Lake Catchment located to the northwest of Lake Taihu through field sampling and laboratory analysis in 2016-2017. The results show the severity of the N and P pollution in the Changdang Lake catchment. The mean river water concentrations of TN, NO3--N, NH4+-N, TP, Chla, and permanganate index are (3.70±0.76) mg ·L-1, (1.81±0.42) mg ·L-1, (1.03±0.61) mg ·L-1, (0.38±0.31) mg ·L-1, (25.74±37.00) μg ·L-1, and (6.35±0.81) mg ·L-1, respectively. N pollution in the river is more severe in winter and spring than in summer and autumn whereas P pollution in the river is worse in autumn and winter than in spring and summer. Spatially, the magnitude of river N and P pollution follows the order of northern > northwestern > southern > eastern part of the study area. The rivers are in a state of moderate to severe eutrophication. The mean lake water concentrations of TN, NO3--N, NH4+-N, TP, Chla, and permanganate index are (2.25±0.94) mg ·L-1, (0.98±0.47) mg ·L-1, (0.19±0.14) mg ·L-1, (0.11±0.03) mg ·L-1, (18.71±8.76) μg ·L-1, and (4.59±1.09) mg ·L-1, respectively. The water quality in Changdang Lake is categorized as worse than class Ⅲ for TN and TP concentrations, which show decreasing trends from the west to the east to the south of the lake. The lake is in a status of slight to moderate eutrophication. The lake water quality is affected by the combination of sewage discharge and non-point source pollutant losses. The inflow rivers including the Danjinlicao River, Tongji River, and Xuebu River are the dominant pollution sources for Changdang Lake. The Danjinlicao River transports 10-12 times the total N and P loads transported by Tongji and Xuebu rivers. Changes in land use and atmospheric deposition are the driving factors of the deterioration of water quality and eutrophication in the catchment.

Plankton variations in Lake Cote, Costa Rica, from 2002 to 2018

Long-term plankton studies in neotropical lakes are scarce. Here we studied plankton composition in Lake Cote, Costa Rica, twice per year from 2002 to 2018, to monitor changes after it was modified as a reservoir for hydroelectricity in 2003. Plankton variation was examined for a long-term trend and its relationship with basic limnological characteristics of the lake. Phytoplankton was sampled from the surface and with a depth-integrating sampler. Zooplankton was caught with vertical hauls, at the same station at the middle of the lake. A total of 138 taxa of microalgae occurred, most from Chlorophyta and Cyanobacteria, to which dominant species belonged; Aulacoseira granulata was also ubiquitous. A shift in dominance occurred, from Cosmarium asphaerosporum to Aphanothece cf. microscopica, and Aphanocapsa cf. delicatissima. Zooplankton included 23 species of Cladocera, Copepoda, Rotifera, and Chaoborus. Most abundant were Keratella americana, Eubosmina tubicen, and Cyclopoida; Daphnia laevis became abundant after 2007 while E. tubicen declined. There was little correspondence between both planktonic components. Plankton composition was typical of a mesotrophic to eutrophic shallow lake, but changes indicated an increase in stratification, and can be attributed to combined effects of recent warming and outflow management for hydropower production.