Zooplankton biomass is essential for understanding the quantitative structure of lake food webs and for the functional assessment of biotic interactions. In this study, we aimed to propose a biomass (dry weight) estimation method using the body length of cyclopoid copepods. These copepods play an important role as omnivores in lake zooplankton communities and contribute significantly to biomass. We validated several previously proposed estimation equations against direct measurements and compared the suitability of prosomal length versus total length of copepods to suggest a more appropriate estimation equation. After comparing the regression analysis results of various candidate equations with the actual values measured on a microbalance-using the coefficient of variation, mean absolute error, and coefficient of determination-it was determined that the Total Length-DW exponential regression equation [W=0.7775×e2.0183L; W (μg), L (mm)] could be used to calculate biomass with higher accuracy. However, considering practical issues such as the morphological similarity between species and genera of copepods and the limitations of classifying copepodid stages, we derived a general regression equation for the pooled copepod community rather than a species-specific regression equation.

INTRODUCTION
MATERIALS AND METHODS
RESULTS
    1. Trends in size distribution of pooled cyclopoidspecies in this study
    2. Examining existing biomass estimationformulas through biomass measurements ofpooled cyclopoid species
    3. Derive an equation for pooled cyclopoidspecies’ biomass using body measurementsfrom domestic individuals
DISCUSSION
REFERENCES

• Hye-Ji Oh(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea) Corresponding author
• Geun-Hyeok Hong(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea)
• Yerim Choi(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea)
• Dae-Hee Lee(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea)
• Hye-Lin Woo(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea)
• Young-Seuk Park(Department of Biology, Kyung Hee University, Seoul 02447, Republic of Korea)
• Yong-Jae Kim(Department of Life Science, Daejin University, Pocheon 11159, Republic of Korea)
• Kwang-Hyeon Chang(Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Republic of Korea) Corresponding author