Water Quality, Zooplankton Community and their Interaction in FUDMA Earthen Production Fish Pond

Background and Objective: The assessment of water quality parameters in FUDMA's pond environment, in conjunction with biotic elements like phytoplankton, zooplankton, water insects, aquatic snails and freshwater fish, plays a crucial role in regulating the abundance, distribution and diversity of zooplankton within the pond waters. This study investigates the physicochemical water quality parameters of FUDMA, focusing on artificial ponds and examines their interactions with the zooplankton population, providing foundational insights into pond ecosystems. Materials and Methods: The research involved the collection of experimental water samples from three distinct pond stations between July and September 2023 for the analysis of water quality parameters and zooplankton identification using standard techniques. Statistical analysis, employing One-way ANOVA with a significance level of 0.05, was applied to the data. Results: The results indicate that all water quality parameters fall within acceptable ranges for pond environments. Nine zooplankton subclasses, including Cyclopoid, Copepoda, Caleinoida, Moina, Brachionus, Asplanchnopus multiceps, Polyarthra vulgaris and Asplanchna, were identified. Throughout the survey period, the water quality parameters of FUDMA fish ponds remained within acceptable limits, indicating good water quality conducive to aquatic organisms. Notably, Cyclopoid, Copepoda, Caleinoida and Moina emerged as the most abundant zooplankton in the ponds. Conclusion: In conclusion, the study underscores the importance of monitoring water quality parameters and their impact on zooplankton populations in artificial pond environments, contributing valuable information for pond management and conservation efforts.