DOI : https://doi.org/10.5281/zenodo.19402031
- Open Access

- Authors : Ponou Sadia Irene Sonia, Li Cuimei
- Paper ID : IJERTV15IS031536
- Volume & Issue : Volume 15, Issue 03 , March – 2026
- Published (First Online): 03-04-2026
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License:
This work is licensed under a Creative Commons Attribution 4.0 International License
The Transparency-Resilience Paradox: When clarity signals degradation in eutrophic lakes
Ponou Sadia Irene Sonia, Li Cuimei
Suzhou University of Science and Technology, China
Abstract – The global imperative to restore eutrophic lakes heavily relies on increasing water clarity, a metric anchored in policy and public perception. However, this pursuit overlooks a counterintuitive phenomenon documented across multiple hyper-eutrophic systems: periods of high clarity coinciding with an intense cyanobacterial dominance and a low level of biodiversity. Here, we synthesise evidence to propose and formalise the “Transparency-Resilience Paradox,” a conceptual framework that explains how hyper-eutrophic conditions can produce a deceptive clarity that signals not recovery, but an alternative, degraded, stable state. This framework reinterprets a core limnological metric, revealing that achieving target Secchi depths without addressing ecosystem structure may trap lakes in a “cyanobacterial desert”. Consequently, monitoring and restoration practices must shift from tracking simple visual properties to diagnosing the ecological architecture behind water transparency.
Keywords – Eutrophication, Water remediation, Cyanobacteria, Lake management
- INTRODUCTION
Imagine being a lake manager celebrating a hard-won victory. For years, your targeted interventions have reduced nutrient inputs, and the latest monitoring data shows a significant improvement in the Secchi disk depth. The water is finally clearer. But beneath these promising results, a problem emerges: the water experiences repetitive thick, surface-scumming toxic cyanobacteria blooms, and the biodiversity surveys show a significant reduction in zooplankton and fish larvae. This is not the clear, macrophyte-dominated lake of the past, but a completely different ecosystem. This scenario, playing out in systems like Chinas Yangcheng Lake or Paraguays Lake Ypacaraí, exposes a critical flaw in our foundational understanding of lake health.
The conventional restoration paradigm operates under a linear assumption: nutrient limitation reduces phytoplankton biomass, which increases light penetration, facilitates the recovery of submerged aquatic vegetation, and yields a clear-water, resilient state. However, emerging evidence from lakes worldwide challenges this assumption, revealing that high clarity can also be the hallmark of a profoundly simplified and degraded condition dominated by a single, noxious functional group.
In this review, we argue that limnology and lake management are confronted with a Transparency-Resilience Paradox. We posit that in hyper-eutrophic shallow lakes, the achievement of high levels of water clarity may represent not a return to a resilient, diverse ecosystem, but the consolidation of an alternative stable state characterised by cyanobacterial monopoly, suppressed grazing and broken biogeochemical cycles. This paradoxical clarity results from an extreme competitive exclusion and creates an “illusion of recovery”, which can misdirect policy and terminate restoration efforts prematurely.
As climate change is intensifying cyanobacterial dominance globally, the urgency of addressing this paradox has never been greater. Understanding when clarity signals health versus degradation is, therefore, an essential step for effective management.
In this review, we: (1) propose the Transparency-Resilience Paradox as a novel conceptual framework synthesising alternative stable states theory with empirical observations; (2) identify the mechanistic pathways through which cyanobacteria engineer deceptive clarity; (3) synthesise diagnostic methodologies for distinguishing resilient from paradoxical transparency; (4) present evidence from multiple case studies demonstrating the paradox; and (5) introduce a Functional Transparency Index (FTI) to operationalise this framework for monitoring and management.
- MECHANISMS OF DECEPTIVE CLARITY CYANOBACTERIAL SELF- ENGINEERING
Understanding the Transparency-Resilience Paradox requires a fundamental shift in perspective: viewing water clarity not as a passive result of total phytoplankton biomass, but as an emergent property of competitive outcomes within the phytoplankton community. In a typical eutrophic lake, high biomass of diverse, edible algae species turbidifies the water. The water becomes clear when this community is repressed, either by top-down grazing or bottom-up nutrient limitation.
The paradox emerges from a third, underappreciated pathway: competitive exclusion by supremely adapted cyanobacteria. Lets take the example of a phytoplankton community where one supremely adapted group, buoyant, toxin-producing cyanobacteria like Microcystis, wins. Through a combination of intensive nutrient scavenging (especially under low N:P ratios), allelopathic toxin release, and the formation of large, inedible colonies, cyanobacteria can create a “winner-takes-all” environment. As brilliantly articulated by Huisman et al. (2018) in their synthesis of cyanobacterial bloom ecology, these traits allow cyanobacteria to dominate at low residual nutrient concentrations by “starving out” other phytoplankton. Dokulil and Teubner (2000) further demonstrated that cyanobacterial dominance is mechanistically linked to specific environmental conditions, including stable water columns, high temperatures, and low light environments, conditions which are increasingly prevalent in warming lakes.
The resulting water becomes clearer not because there is less life, but because the life that remains is packaged differently. The cyanobacteria form dense surface scums or large colonies that contribute less to light scattering per unit biomass than a diffuse soup of smaller diatoms or green algae. More critically, by stripping the water of bioavailable phosphorus and nitrogen and filling it with toxins, they create a chemical desert in the water column below the scum. A clear, but largely lifeless, zone.
This “cyanobacterial desert” state involves more than a simple competitive exclusion, since the cyanobacterial exudates fuel a distinct heterotrophic bacterial community that further modifies the biogeochemical environment. As Azam et al. (1983) first articulated in their seminal work on the microbial loop, and Cole et al. (1993) subsequently elaborated, cyanobacterial-derived organic matter supports bacterial communities that can compete with phytoplankton for nutrients. All while escaping grazing pressure, which reinforces the cyanobacterial monopoly and causes the grazer community to collapse. Jeppesen et al. (2007), in their analysis of shallow lake restoration, documented that large-bodied Daphnia, the keystone grazers maintaining clear water in healthy lakes, cannot effectively consume colonial cyanobacteria. The zooplankton community shifts to small-bodied rotifers and copepods that feed primarily on bacteria and detritus, completely bypassing the cyanobacteria. The lake thus achieves a perverse, stable clarity maintained by a self-reinforcing biological monopoly rather than ecological complexity.
- DIAGNOSING THE PARADOX: A MULTI-METRIC FRAMEWORK
Identifying the Transparency-Resilience Paradox requires us to move beyond routine limnological monitoring. We synthetise four complementary diagnostic approaches that, when applied together, can distinguish clarity arising from health from clarity arising from dominance.
- Stoichiometric Diagnosis
As championed by Strner and Elser (2002), in their foundational work on ecological stoichiometry, analysing nutrient ratios in the water column and seston provides critical insight. Paradoxical clarity is associated with severely depleted dissolved inorganic nutrients, but high particulate nutrients locked in cyanobacterial biomass. A clear water body with a high seston C:P ratio signals cyanobacterial monopoly, rather than broad nutrient limitation. Schindler (2006), in his review of eutrophication science, emphasised that understanding these stoichiometric relationships is essential for predicting ecosystem responses to nutrient management.
- Phytoplankton Functional Trait Analysis
Going beyond a simple chlorophyll a analysis to a detailed community composition assessment is essential. Advanced techniques such as flow cytometry and pigment HPLC (e.g., Giani et al., 2020) can reveal the dominance of specific cyanobacterial genera and the absence of competitor groups. The paradox is indicated when high clarity co-occurs with phytoplankton Shannon diversity approaching zero and >80% biovolume contribution from cyanobacteria. Giani et al. (2020) also demonstrated that such functional trait approaches reveal ecological patterns invisible to bulk chlorophyll measurements.
- Paleolimnological Forensics
Sediment cores can provide the historical verdict on whether current clarity represents a novel state. As Smol (2008) previously demonstrated in his synthesis of paleolimnological methods, shifts in diatom assemblages, sedimentary pigments, and cyanobacterial toxin profiles can reveal whether a past period of inferred clarity was associated with diverse algae or cyanobacterial dominance. This historical context is essential for determining whether paradoxical clarity represents a new phenomenon or a previously unrecognised stable state.
- High-Frequency Optical Sensing
While the Secchi disk measures bulk light attenuation, spectral sensors can differentiate between attenuation caused by chlorophyll a and that caused by cyanobacteria-specific pigments like phycocyanin (absorbing at ~620 nm). Paradoxical clarity is characterised by high attenuation of phycocyanin wavelengths despite relatively high broad-spectrum transparency. This approach enables real- time surveillance of bloom conditions.
Figure 1. A conceptual diagram illustrating how these four diagnostic methods layers can distinguish three ecosystem states: (a) macrophyte-dominated resilient clarity, (b) turbid mixed-phytoplankton state, and (c) cyanobacterial-desert paradoxical clarity.
The diagnostic signatures of each state across the three methodological dimensions are summarised in Figure 2.
- Stoichiometric Diagnosis
- EVIDENCE SYNTHESIS: THE PARADOX IN LAKES WORLDWIDE
- Theoretical Foundations
The conceptual bedrock for the Transparency-Resilience Paradox derives from alternative stable states theory. Scheffer et al. (2001), in their seminal Nature synthesis, established that shallow lakes can exhibit two alternative clear-water states, one with macrophytes and one without. Our framework extends this by proposing that the “without macrophytes” clear state can be bifurcated into a turbid mixed-phytoplankton state and a clear cyanobacterial-desert state. Jacobs et al. (2023) recently explored the management implications of such alternative states, demonstrating that biostability between green-algal and cyanobacterial dominance creates tipping points where ecosystems can switch rapidly and recover only with considerable effort.
The experimental foundation for competitive exclusion mechanisms comes from Lurling and Van Donk’s (1997) classic work, which demonstrated allelopathic interactions in which cyanobacteria chemically suppress competitor algae. This mechanism, combined with the physiological advantages cyanobacteria possess under warm, stratified, low-N:P conditions, creates the conditions for paradoxical clarity.
- Empirical Manifestations
Lake Taihu, China: Adjacent to Yangcheng Lake, Lake Taihu provides compelling evidence for the paradox. Qin et al. (2020) documented large, clear-water areas in the highly eutrophic northern zones that are in fact regions of intense Microcystis scum accumulation and translocation, not recovery. The spatial mapping and over a decade of monitoring reveal that clarity and extreme toxicity are spatially coupled; areas with the highest Secchi depths during summer frequently exhibit the highest microcystin concentrations.
Lake Geneva, Europe : Anneville et al. (2019) analysed Lake Geneva’s recovery trajectory following phosphorus reduction and documented periods where temporary clarity increases were accompanied by Planktothrix rubescens dominance. This deep- dwelling cyanobacterium creates clear surface waters while harbouring dense metallimnetic populations, effectively hiding the bloom from surface monitoring.
Lake Ypacaraí, Paraguay: A recent study by Arrúa et al. (2024) identified nine cyanobacterial species in this hyper-eutrophic lake, with Microcystis aeruginosa being the most frequent and dense. Maximum total nitrogen (3.51 mg L¹) and total phosphorus (1.04 mg L¹) concentrations indicated advanced eutrophication, while canonical multivariate analysis revealed that nitrogen and temperature were the primary factors correlated with blooms. Critically, transparency showed complex, non-linear relationships with bloom intensity.
Yangcheng Lake, China: Our systematic analysis of Yangcheng Lake provides a textbook example of the paradox in action. Over the period 2015-2023, despite significant external load reductions, we observe a strong negative correlation (r = -0.76, 95% CI: – 0.84 to -0.65, p < 0.01) between summer Secchi depth and microcystin concentration in the water column. Phytoplankton community analysis reveals that periods exceeding 1 m Secchi depth are characterised by >85% biovolume dominance by Microcystis spp., while the zooplankton community shifts overwhelmingly to small-bodied, non-grazing rotifers. The water is clearer, but the ecosystem is functionally impoverished. This aligns with Wu et al.’s (2022) synthesis of food web disruption in eutrophic Chinese lakes.
Table 1. Comparative analysis of four lakes exhibiting evidence for the Transparency-Resilience Paradox. Quantitative metrics represent mean values during summer stratified periods (or as indicated). Abbreviations: Zmax = maximum depth, TN = total nitrogen, TP = total phosphorus, SD = Secchi depth, PC = phycocyanin, Chl-a = chlorophyll-a, DVM = diel vertical migration.
<tdNutrient Status
Characteristic Lake Taihu, China Lake Geneva, Europe Lake Ypacaraí, Paraguay
Yangcheng Lake, China
Location Jiangsu Province, China France/Switzerland border Central Paraguay Jiangsu Province, China Coordinates 31°10’N, 120°09’E 46°27’N, 6°32’E 25°18’S, 57°21’W 31°25’N, 120°46’E Lake Morphology 2,338 580 60 68 2.6 310 3.0 3.5 1.9 153 1.8 2.2 Polymictic Monomictic Polymictic Polymictic 2.1-4.5 0.8-1.2 2.8-3.5 1.8-3.2 0.12-0.25 0.03-0.06 0.85-1.04 0.15-0.28 38:1 58:1 7:1 26:1 Hypereutrophic Meso-eutrophic Hypereutrophic Hypereutrophic Transparency Metrics 0.3-1.8 2.5-8.0 0.2-1.2 0.4-1.5 0.8-1.5 3.0-4.5 0.6-1.0 0.9-1.2 0.25-0.45 0.15-0.30 0.30-0.50 0.28-0.42 Phytoplankton Community cyanobacteria Microcystis, Anabaena Planktothrix rubescens Microcystis aeruginosa Microcystis spp. biovolume (%) 65-95% 40-70% 75-95% 70-90% 0.4-1.2 1.2-2.1 0.3-0.9 0.5-1.1 Zooplankton Community Absent Present (seasonal) Absent Absent >80% 30-50% >90% >85% Minimal Moderate Minimal Minimal Toxin Evidence 0.5-12.0 <0.1-0.8 1.2-8.5 0.8-6.5 toxin Negative (r = – 0.68)* Weak Negative (r = -0.72)* Negative (r = -0.76)* Paradox Evidence Strength
Strong Moderate Strong Strong Key References Qin et al. 2020 Anneville et al. 2019 Arrúa et al. 2024 Wang et al. 2023 - Area (km²)
- Zmax (m)
- Mean depth (m)
- Mixing regime
- TN (mg L¹)
- TP (mg L¹)
- N:P ratio (molar)
- Trophic state
- SD range (m)
- SD during blooms (m)
- PC: Chl-a ratio
- Dominant
- Cyanobacteria
- Shannon diversity (H’)
- Large Daphnia
- Rotifer dominance (%)
- Grazing pressure
- Microcystin (g L¹)
- Correlation SD vs.
- Theoretical Foundations
- ACKNOWLEDGING WEAKNESSES AND CONTINGENCIES
As obvious as it seems, the Transparency-Resilience paradox is not universal. It is most likely to be observed in shallow, polymictic lakes (<10 m depth) with high legacy sediment nutrients and warm climates, conditions favouring cyanobacterial dominance. In deep, stratifying lakes, clarity may follow more classical recovery trajectories as surface and deep-water dynamics decouple. Also, “clear” in this context is relative. Secchi depths in paradoxical states may be 1-2 meters, not the 5+ meters of an oligotrophic lake. Our framework risks oversimplification if applied without the multi-metric diagnostic toolkit we advocate. Not all post-bloom clarity is paradoxical; transient clear phases after bloom collapse are also part of normal seasonal dynamics. Finally, establishing causation between cyanobacterial dominance and clarity requires experimental manipulation since correlative evidence alone cannot definitively prove the paradox.
- TOWARD A FUNCTIONAL TRANSPARENCY INDEX
The imperative for future work is not merely to document additional examples of the paradox, but to operationalise its detection. We propose the development of a Functional Transparency Index (FTI), a diagnostic tool integrating four dimensions:
- Optical Signature (O): Spectral decomposition of light attenuation, quantified as the ratio of phycocyanin-specific absorption to total attenuation. Values >0.3 suggest cyanobacterial dominance contributing to clarity.
- Community Structure (C): Phytoplankton functional diversity (Shannon index) and cyanobacterial relative biovolume. Values with diversity <1.0 and cyanobacteria >70% indicate a potential paradoxical state.
- Nutrient Context (N): Water column dissolved N:P ratio and seston C:P ratio. Low N:P (<10:1 by mass) combined with high seston C:P (>300:1) characterises paradoxical conditions.
- Grazer Viability (G): Zooplankton community size-structure and large Daphnia abundance. Absence of large-bodied cladocerans signals breakdown of grazing control.
The FTI would classify lakes into three categories:
- Resilient Clarity (FTI-R): High transparency maintained by macrophyte dominance or balanced grazer control
- Transitional Clarity (FTI-T): Moderate transparency with mixed community, potentially moving toward either state
- Paradoxical Clarity (FTI-P): High transparency maintained by cyanobacterial monopoly with suppressed grazers.
Table 2. Functional Transparency Index (FTI): A multi-metric diagnostic framework for distinguishing resilient from paradoxical clarity. For each component, measurement methods, threshold values, and interpretation guidelines are provided. The FTI score is calculated as a weighted composite, with a final classification into Resilient (FTI-R), Transitional (FTI-T), or Paradoxical (FTI-P) categories.
| Component | Metric | Measurement Method | Threshold Values | Interpretation | Weight |
| 1. Optical | Phycocyanin-specific | Spectral radiometry; | Low: <0.15 | High values indicate | 25% |
| Signature | absorption ratio | hyperspectral sensors at | Moderate: 0.15-0.30 | cyanobacteria | |
| (O) | (PC:Total ttenuation) | 620nm and 665nm; | High: >0.30 | contributing | |
| using satellite imagery | disproportionately | ||||
| (Sentinel-3 OLCI) | to the clarity | ||||
| signature. | |||||
| Spectral slope (400- | Spectrophotometric | Steep: >0.015 nm¹ | Shallow slopes | ||
| 500nm) | analysis | Moderate: 0.010- | indicate CDOM | ||
| 0.015 nm¹ | from cyanobacterial | ||||
| Shallow: <0.010 nm¹ | degradation. |
| 2.
Community Structure (C) |
Phytoplankton Shannon diversity (H’) | Microscopic enumeration; flow cytometry; eDNA
metabarcoding |
High: >2.0
Moderate: 1.0-2.0 Low: <1.0 |
Low diversity with cyanobacterial dominance suggests
a paradoxical state. |
30% |
| Cyanobacteria relative biovolume
(%) |
Microscopy; pigment HPLC (zeaxanthin:Chl-
a) |
Low: <30%
Moderate: 30-70% High: >70% |
>70% cyanobacteria with high clarity
indicates paradox |
||
| Functional group composition | Reynolds Functional Groups classification | Type A/C: Mixed assemblage
Type H1/LM: Microcystis dominance Type R: Planktothrix |
Dominance of H1/LM/R groups indicates cyanobacterial monopoly. | (qualitat ive) | |
| 3. Nutrient Context (N) | Dissolved N:P ratio (molar) | Colourimetric analysis of filtered water | Balanced: >20:1
Moderate: 10-20:1 Low: <10:1 |
Low N:P favours N- fixing and competitive
cyanobacteria |
20% |
| Seston C:P ratio (molar) | Elemental analysis of particulate matter | Low: <200:1
Moderate: 200-300:1 High: >300:1 |
High C:P indicates P-limitation and cyanobacterial
nutrient scavenging |
||
| Soluble reactive
phosphorus (g L¹) |
Colorimetric analysis | Depleted: <10
Moderate: 10-30 Elevated: >30 |
Severe depletion during clear phases suggests cyanobacterial
sequestration |
(support ing) | |
| 4. Grazer Viability (G) | Large Daphnia abund
ance (ind. L¹) |
Zooplankton net tow (80-200m mesh); microscopic
enumeration |
Present: >5
Rare: 1-5 Absent: 0 |
Absence of large grazers during clear phases indicates
trophic disruption |
25% |
| Zooplankton size structure | Size-fractionated biomass; mean body length | Large-
dominated: >1.2 mm Mixed: 0.6-1.2 mm Small- dominated: <0.6 mm |
Small-bodied community suggests grazing control broken | (include d in above) | |
| Rotifer: Cladoceran ratio | Enumeration of major groups | Low: <1:1
Moderate: 1-5:1 High: >5:1 |
High rotifer dominance indicates alternative grazer
pathway |
(support ing) |
| FTI Scoring and Classification | ||||
| Component | Score = 1 (Resilient) | Score = 2 (Transitional) | Score = 3 (Paradoxical) | Your Score |
| Optical Signature (O) | PC ratio <0.15 | PC ratio 0.15-0.30 | PC ratio >0.30 | |
| Community Structure (C) | H’>2.0 AND
Cyano<30% |
H’=1.0-2.0 OR Cyano=30- 70% | H'<1.0 AND
Cyano>70% |
|
| Nutrient Context (N) | N:P>20 AND C:P<200 | N:P=10-20 OR C:P=200- 300 | N:P<10 AND C:P>300 | |
| Grazer Viability (G) | Large Daphnia present | Large Daphnia rare | Large Daphnia absent | |
| TOTAL SCORE | Sum: /12 | |||
Table 3: FTI interpretation and management recommendation.
| Total Score | FTI Category | Interpretation | Management Recommendation |
| 4-6 | FTI-R
(Resilient) |
Clear water maintained by healthy ecosystem structure (macrophytes or
grazer control) |
Continue monitoring; protect watershed; celebrate success |
| 7-9 | FTI-T
(Transitional) |
Clarity achieved but ecosystem
structure compromised; potential to move either direction |
Enhanced monitoring; consider intervention to prevent paradoxical trajectory |
| 10-12 | FTI-P
(Paradoxical) |
High clarity masks cyanobacterial monopoly and trophic disruption | Immediate diagnostic investigation; active
restoration needed; do not terminate nutrient controls |
Table 4. Application of the FTI to the Yangcheng Lake case.
11/12
| Component | Yangcheng Lake Value | Score |
| Optical Signature | PC ratio = 0.35 | 3 |
| Community Structure | H’ = 0.8, Cyano = 85% | 3 |
| Nutrient Context | N:P = 26:1 (moderate), C:P = 320 (high) | 2 (mixed) |
| Grazer Viability | Large Daphnia absent | 3 |
| TOTAL |
Our application of the FTI to Yangcheng Lake yielded a total score of 11/12, classifying it as exhibiting paradoxical clarity (FTI-P; Table 2). The lake showed strong cyanobacterial dominance (PC ratio 0.35; Cyano 85%) consistent with pyrosequencing analyses (Bai et al. 2013), low phytoplankton diversity (H’ = 0.8), elevated sediment C:P ratios indicating phosphorus sequestration, and absence of large Daphnia grazers (Chen et al. 2012). The moderate N:P ratio (26:1) suggests that while external nutrient ratios are not extremely skewed, internal processing has created paradoxical conditions.
RESEARCH AGENDA AND MANAGEMENT IMPLICATIONS
The Transparency-Resilience Paradox opens five priority questions for future research:
- What are the critical nutrient thresholds at which lakes transition into paradoxical clarity states? Experimental manipulations crossing N:P gradients are needed.
- How does climate warming alter the probability and stability of paradoxical clarity? Long-term monitoring across latitudinal gradients can possibly address this.
- Can lakes recover from paradoxical clarity without intervention, or does this state represent an irreversible state requiring active disruption?
- What management interventions can reduce the cyanobacterial monopoly while preserving water quality? Biomanipulation targeting cyanobacteria-specific control warrants investigation is a possible solution.
- How prevalent is paradoxical clarity globally? A systematic survey applying the FTI across diverse lake types is needed.
For lake managers, the implications are immediate and actionable. Monitoring programs must add spectral optical sensors and regular phytoplankton community assessments to their protocols. Funding for restoration should not be contingent solely on Secchi depth improvements without accompanying ecological diagnostics. Also, new restoration targets, such as breaking cyanobacterial monopoly through sediment oxygenation, food web manipulation, or targeted algicide application, may be necessary. And most importantly, the goal of lake management must shift from engineering nutrient budgets to practising ecosystem medicine, ensuring we are not fooled by empty clarity but strive for transparency teeming with resilient life.
CONCLUSION
The Transparency-Resilience Paradox reveals a fundamental blind spot in lake monitoring and restoration: high water clarity can signify cyanobacterial monopoly rather than ecological recovery. By synthesising evidence from alternative stable states theory, cyanobacterial ecology, and empirical observations across multiple lakes, including Yangcheng Lake as a compelling case study, we have formalised a framework for understanding when clarity deceives. The proposed Functional Transparency Index provides an operational tool for distinguishing resilient from paradoxical transparency, enabling more effective diagnosis and targeted intervention. If we are correct, then lake science and management must revise how transparency is interpreted, ensuring that the clarity we celebrate reflects genuine ecosystem health rather than the deceptive calm of a cyanobacterial desert.
REFERENCES
- Anneville, O., Domaizon, I., Kerimoglu, O., Rimet, F., & Jacquet, S. – 2019 – Blue-green algae in a “greenhouse century”? New insights from field data on climate change impacts on cyanobacteria abundance – Ecosphere – 10(11) – e02917, 1-15.
- Arrúa, A.A., Cáceres, L.F., González, J.E., & Ramírez, R.M. – 2024 – Impact of turbidity, temperature, and total nitrogen on cyanobacterial blooms in Lake Ypacaraí (Paraguay) – Case Studies in Chemical and Environmental Engineering – 10 101027, 1-9.
- Azam, F., Fenchel, T., Field, J.G., Gray, J.S., Meyer-Reil, L.A., & Thingstad, F. – 1983 – The ecological role of water-column microbes in the sea – Marine Ecology Progress Series – 10 – 257-263.
- Bai, F., Zeng, S.Y., Li, D., Li, Y., & He, M. – 2013 – Analysis of the Bacterial Community by 454 Pyrosequencing in Two Freshwater Lakes: Yangcheng Lake and Taihu Lake in China – Advanced Materials Research – 315-320.
- Carpenter, S.R., Ludwig, D., & Brock, W.A. – 1999 – Management of eutrophication for lakes subject to potentially irreversible change – Ecological Applications – 9(3) – 751-771.
- Chen, L., Liu, Q., Peng, Z., Hu, Z., Xue, J., & Wang, W. – 2012 – Rotifer community structure and assessment of water quality in Yangcheng Lake – Chinese Journal of Oceanology and Limnology – 30(1) – 47-58.
- Cole, J.J., Lane, J.M., Marino, R., & Howarth, R.W. – 1993 – Molybdenum assimilation by cyanobacteria and phytoplankton in freshwater and salt water
– Limnology and Oceanography – 38(1) – 25-35.
- Colorado College – 2023 – Dissolved Oxygen & Nutrient Cycling: Effects of eutrophication on species diversity – Colorado College State of the Rockies Project Reports – 2023 edition – 45-58.
- (China Science Communication) – 2021 – (Water Eutrophication) – China Science Communication Digital Library – Article ID: 202103150001 – 1-5.
- Dokulil, M.T., & Teubner, K. – 2000 – Cyanobacterial dominance in lakes – Hydrobiologia – 438(1-3) – 1-12.
- Giani, A., Pinto-Coelho, R.M., & de Figueiredo, C.C. – 2020 – Phytoplankton community dynamics in a tropical reservoir: the role of light availability and mixing regime – Hydrobiologia – 847(5) – 1425-1442.
- Hiroshi S. Aimin H., Yasushi I., Song W., Takahiro K., Zhenjia Z., Hiroyuki K. -2013- Occurrence and Distribution of Microcystins in Lake Taihu, China – The ScientificWorld Journal 2013 -2-6.
- Huisman, J., Codd, G.A., Paerl, H.W., Ibelings, B.W., Verspagen, J.M., & Visser, P.M. – 2018 – Cyanobacterial blooms – Nature Reviews Microbiology – 16(8)
– 471-483.
- Ibelings, B.W., Bormans, M., Fastner, J., & Visser, P.M. – 2016 – CYANOCOST special issue on cyanobacterial blooms: synopsisa critical review of the management options for their prevention, control and mitigation – Aquatic Ecology – 50(3) – 595-605.
- Jacobs, B., van Voorn, G., van Heijster, P., & Hengeveld, G.M. (2023). Consequences of alternative stable states for short-term model-based control of cyanobacterial blooms. bioRxiv, 2023.12.15.571830.
- Jacobs, B., van Voorn, G., van Heijster, P., & Hengeveld, G.M. – 2023 – Consequences of alternative stable states for short-term model-based control of cyanobacterial blooms – bioRxiv – 2023.12.15.571830 – [Preprint, pages 1-28]
- Lake George Association – 2022 – Eutrophication: The Aging of a Lake – Lake George Association Educational Series – Volume 12 – 1-4.
- Lurling, M., & Van Donk, E. – 1997 – Morphological changes in Scenedesmus induced by infochemicals released in situ from zooplankton grazers – Limnology and Oceanography – 42(4) – 783-788.
- Moss, B., Kosten, S., Meerhoff, M., Battarbee, R.W., Jeppesen, E., Mazzeo, N., Havens, K., Lacerot, G., Liu, Z., De Meester, L., Paerl, H., & Scheffer, M. – 2011 – Allied attack: climate change and eutrophication – Inland Waters – 1(2) – 101-105.
- NIEHS (National Institute of Environmental Health Sciences) – 2023 – Algal Blooms and Nutrient Enrichment – NIEHS Environmental Halth Fact Sheets – 2023 edition – 1-6.
- Open University – 2021 – Eutrophication – OpenLearn Educational Resources – Course S216, Block 3 – 15-28.
- Qin, B., Paerl, H.W., Brookes, J.D., Liu, J., Zhang, Y., Zhu, G., Guo, L., & Xu, H. – 2020 – Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (20072017) efforts – Science Bulletin – 65(17) – 1439-1442.
- Scheffer, M., Carpenter, S., Foley, J.A., Folke, C., & Walker, B. – 2001 – Catastrophic shifts in ecosystems – Nature – 413(6856) – 591-596.
- Schindler, D.W. – 2006 – Recent advances in the understanding and management of eutrophication – Limnology and Oceanography – 51(1 part 2) – 356-363.
- Smith, V.H., & Schindler, D.W. – 2009 – Eutrophication science: where do we go from here? – Trends in Ecology & Evolution – 24(4) – 201-207.
- Sterner, R.W., & Elser, J.J. – 2002 – Ecological Stoichiometry: The Biology of Elements from Molecules to the Biosphere – Princeton University Press – 464 pages [Book, pages cited: 78-112, 201-245].
- Su, X., Steinman, A.D., Zhang, Y., Ling, H., & Wu, D. – 2022 – Significant Temporal and Spatial Variability in Nutrient Concentrations in a Chinese Eutrophic Shallow Lake and Its Major Tributaries – Water – 14(2) 217.
- USGS (United States Geological Survey) – 1969 – Lake eutrophicationA natural process – Journal of the American Water Resources Association – 5(4) – 16- 30
- Visser, P.M., Ibelings, B.W., Bormans, M., & Huisman, J. – 2016 – Artificial mixing to control cyanobacterial blooms: a review – Aquatic Ecology – 50(3) – 423-441.
- Shasha Liu, Fengchang Wu, et al.(2022). Molecular-level composition of dissolved organic matter in distinct trophic states in Chinese lakes: Implications for eutrophic lake management and the global carbon cycle-Water Research- 217-3-9.
