Sustainability in Ponds Management: Recent Developments, Challenges and Prospects
Abstract
1. Introduction
2. Understanding Pond Ecosystems
2.1. Ponds as Stables and Pastures
2.2. Nutrient Cycling in Ponds
2.3. Ponds as Sources and Sinks of Carbon
2.4. Other Factors Affecting Energy Flow in Ponds
3. Optimizing In Situ Pond Productivity: Emerging Strategies and Perspectives
3.1. Demand-Oriented Feeding: Can This Carp Model Be Adaptable to Other Species [48]?
3.1.1. Daphnia as a Proxy for Natural Productivity
- When fish population density and feeding rates are balanced, a stable population of large-bodied zooplankton and phytoplankton will emerge, fostering their reproductive success.
- At high fish stocking densities, intense grazing on large/edible zooplankton shifts zooplankton communities towards smaller taxa, reducing their ability to control phytoplankton and promoting the formation of algal blooms [47].
- Similarly, when fish density is too low to exert pressure on zooplankton, the persistence of large-bodied zooplankton (e.g., Daphnia spp.) can increase water clarity, which in turn promotes plant growth, leading to turbid conditions and recurrent algal blooms [51].
3.1.2. Linking Natural Food Assessment to Feeding Actions
- 20–40 Ind./L (optimal range): Natural food resources are at sustainable levels. Supplemental feeding should maintain this equilibrium by providing a balanced diet of protein-rich natural foods and carbohydrate-based grains. This consists of reducing supplemental grain feeding when natural food is abundant and increasing it when natural food becomes scarce to balance fish nutrition and preserve pond resources.
- <20 Ind./L (deficit range): This indicates a lack of natural food sources. There is a risk of overexploitation and reproductive impairment in Daphnia. Feeding pressure must be reduced, and high-quality commercial feeds should be used to supplement missing protein sources. This results in indirect fertilization via nutrient release from uneaten feed and fish waste, stimulating algal growth and thereby supporting Daphnia recovery. However, caution is necessary to avoid excessive organic loading and oxygen depletion.
- >40 Ind./L (surplus range): This represents an underutilization of natural food resources, a risk of overpopulation, and possible oxygen depletion. In this scenario, supplemental feeding should be reduced or temporarily halted because natural food is not being adequately utilized.
3.1.3. Implication and Significance
- Species- and environment-specific thresholds: Because fish differ in feeding mode, prey size preference, and grazing intensity, while pond systems differ in productivity, temperature, nutrient availability, and predation pressure, zooplankton density benchmarks may need to be recalibrated for different species or pond systems, which poses practical difficulties, as they require extensive research and validation for each new species or pond system. In contrast to the carp model, benchmarks for species like Nile tilapia may be lower due to their opportunistic omnivory, while intensive shrimp systems may require benchmarks that balance natural food availability with the stringent water quality demands of high-density production. This process demands significant time and resources, and incorrect calibration or application can result in suboptimal management decisions and reduced production efficiencies.
- Standardized monitoring methods: A universally applicable, low-cost method for assessing natural productivity is needed. While the settling volume technique is a practical option, innovations such as AI-powered near-infrared (NIR) sensors could significantly enhance precision monitoring. By moving beyond simple settling measurements, AI-NIR systems can directly detect real-time biological indicators such as algal biomass, pigment concentration, and physiological status. When integrated with environmental data (e.g., temperature and oxygen), AI can distinguish true biological changes from physical noise, predict productivity trends, and provide early warnings of imbalances like algal blooms, enabling continuous, spatially detailed, and more accurate pond productivity assessment with reduced reliance on manual sampling.
- Knowledge transfer: Challenges in disseminating protocols for low-cost sampling equipment may limit adoption among small- and medium-scale farmers in developing countries. Barriers such as low literacy, weak extension services, cultural resistance, and insufficient training programs may further hinder effective implementation.
3.2. The Nutritious Pond Concept
3.2.1. C:N Ratio as Central Regulatory Lever
3.2.2. Feces as a Crucial Nutrient Input
3.2.3. Substrate Type and the Role of NSP Fibers
3.2.4. Implications and Significance
- Experimental scope: To date, most findings have been derived from a limited number of nutritious pond studies, raising concerns about scalability across diverse species and production systems.Table 1 lists the existing studies.Table 1. Existing nutritious pond studies.
Species Setting C:N Substrate Metrics Source Pacific White Shrimp Indoor Mesocosms 11.8–20.5 Wheat bran, Non-Starch Polysaccharides Survival 78–87%, FCR 1.2–2.5 [78] 12–20 FCR 0.6–1.1 [79] 17–21 Survival 87–88%, FCR 0.89–1.24 [80] 12–20 Survival 87–88%, FCR 1.18–1.70 [81] Nile Tilapia Pond 10 NA Survival 81–96%, FCR 1.54–1.81 [82] 10.8–12.3 Survival 76–98%, FCR 1.13–2.45 [71] 8–11 Survival 71–74%, FCR 0.95–1.12 [68] 8.8–11.8 Survival 52–86%, FCR 0.8–1.3 [62] - Survival variability: In some pond trials, fish fed a low P:E diet with an increased C:N ratio of 11.8 reported reduced survival (up to 40% loss), indicating possible trade-offs in pond ecology [67].
- Quantifying natural food contributions: Estimating the exact role of microbial–planktonic foods in fish growth remains methodologically challenging, and a clearer partitioning of feed versus natural inputs is required. In addition, natural food production is governed by site-specific pond ecological factors, including light penetration, temperature regimes, dissolved oxygen concentration, nutrient dynamics, and plankton community composition, in addition to seasonal variability and water source characteristics.
- Natural food production capacity: The capacity of ponds to produce sufficient natural food for farmed species may vary widely, limiting the generalizability of the concept. Reliance on natural food, although ecologically sound, presents a limitation concerning the precise nutritional requirements of cultured species, especially during critical life stages. Natural food sources may exhibit variability in their essential nutrient profiles (e.g., specific amino acids, fatty acids, and vitamins), which could lead to nutritional deficiencies if not carefully balanced with supplemental feed. This is particularly challenging for species with complex dietary needs or during periods of rapid growth, where the exact composition of natural food contributing to growth and health is difficult to quantify and to control.
- Variability in fiber decomposition rate: The type of dietary fiber influences digestion, fecal composition, and fecal production by fish [83]. Understanding the variability in fiber decomposition is therefore crucial for ensuring that microorganisms recycle nutrients efficiently while maintaining pond ecosystem stability, as the goal is to achieve a moderate, steady fiber decomposition rate that aligns with primary production and nutrient uptake.
- Balancing greenhouse gas emissions: Although NSP reduces immediate CO2 release, the long-term carbon cycling dynamics in ponds require more rigorous quantification.
3.3. Bridging the Strategies
4. Polyculture: An Ecological Strategy for Maximizing the Food Web in Aquaculture
4.1. Synergistic Mechanisms in Polyculture
4.2. Food Web Dynamics and the Role of Microbial Pathways
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AICCRA | Accelerating Impacts of CGIAR Climate Research for Africa |
| BFT | Consultative Group on International Agricultural Research |
| CGIAR | Consortium of International Agricultural Research Centers |
| CH4 | Methane |
| CO2 | Carbone Dioxide |
| C:N | Carbon/Nitrogen |
| DO | Dissolved Oxygen |
| FCR | Feed Conversion Ratio |
| GIFT | Genetically Improved Farmed Tilapia |
| IDA | International Development Association |
| IMTA | Integrated Multi-Trophic Aquaculture |
| NSP | Non-Starch Polysaccharide |
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Dossou, S.; Owen, M.A.G.; Yossa, R. Sustainability in Ponds Management: Recent Developments, Challenges and Prospects. Aquac. J. 2026, 6, 11. https://doi.org/10.3390/aquacj6020011
Dossou S, Owen MAG, Yossa R. Sustainability in Ponds Management: Recent Developments, Challenges and Prospects. Aquaculture Journal. 2026; 6(2):11. https://doi.org/10.3390/aquacj6020011
Chicago/Turabian StyleDossou, Serge, Matthew Alun Griffiths Owen, and Rodrigue Yossa. 2026. "Sustainability in Ponds Management: Recent Developments, Challenges and Prospects" Aquaculture Journal 6, no. 2: 11. https://doi.org/10.3390/aquacj6020011
APA StyleDossou, S., Owen, M. A. G., & Yossa, R. (2026). Sustainability in Ponds Management: Recent Developments, Challenges and Prospects. Aquaculture Journal, 6(2), 11. https://doi.org/10.3390/aquacj6020011

