<p>The genera <i>Ceriodaphnia</i> and <i>Scapholeberis</i> (Crustacea: Cladocera, family Daphniidae) are representative pelagic and neustonic zooplankton, respectively, with important ecological roles in lentic ecosystems. Accurate estimation of their biomass is essential for understanding matter cycling within aquatic food webs. In this study, we advanced biomass estimation methods for <i>Ceriodaphnia quadrangula</i> (O. F. Müller, 1785) and <i>Scapholeberis rammneri</i> Dumont &amp; Pensaert, 1983 by reviewing existing length–weight regression equations and deriving new models with greater explanatory power, based on directly measured morphometric parameters (length, width, lateral area, etc.) and corresponding biomass (dry weight). Traditionally, body length has been the standard for estimating the biomass of cladocerans, but in this study, the regression analysis between width and biomass resulted in the smallest error between estimated and measured values. Consequently, the most suitable biomass estimation equations for <i>C. quadrangula</i> and <i>S. rammneri</i> were identified as the width-weight exponential regression model and the width-weight power regression model, respectively. In addition, our review of existing equations for these species revealed both the issue of biomass underestimation when using equations derived only from non-egg/embryo-bearing individuals and the potential applicability of genus-level biomass estimation equations. The morphometric parameters and corresponding dry weight data for <i>C. quadrangula</i> and <i>S. rammneri</i> collected in this study can be usefully applied to morphological research on cladocerans. Furthermore, such research can enhance the precision of biomass estimation for cladoceran species and provide fundamental data for various aquatic ecosystem studies that require biomass information.</p>

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Advancing dry weight estimation methods for two freshwater cladocerans, Ceriodaphnia quadrangula and Scapholeberis rammneri

  • Hye-Ji Oh,
  • Geun-Hyeok Hong,
  • Dae-Hee Lee,
  • Yerim Choi,
  • Young-Seuk Park,
  • Yong-Jae Kim,
  • Izumi Katano,
  • Kwang-Hyeon Chang

摘要

The genera Ceriodaphnia and Scapholeberis (Crustacea: Cladocera, family Daphniidae) are representative pelagic and neustonic zooplankton, respectively, with important ecological roles in lentic ecosystems. Accurate estimation of their biomass is essential for understanding matter cycling within aquatic food webs. In this study, we advanced biomass estimation methods for Ceriodaphnia quadrangula (O. F. Müller, 1785) and Scapholeberis rammneri Dumont & Pensaert, 1983 by reviewing existing length–weight regression equations and deriving new models with greater explanatory power, based on directly measured morphometric parameters (length, width, lateral area, etc.) and corresponding biomass (dry weight). Traditionally, body length has been the standard for estimating the biomass of cladocerans, but in this study, the regression analysis between width and biomass resulted in the smallest error between estimated and measured values. Consequently, the most suitable biomass estimation equations for C. quadrangula and S. rammneri were identified as the width-weight exponential regression model and the width-weight power regression model, respectively. In addition, our review of existing equations for these species revealed both the issue of biomass underestimation when using equations derived only from non-egg/embryo-bearing individuals and the potential applicability of genus-level biomass estimation equations. The morphometric parameters and corresponding dry weight data for C. quadrangula and S. rammneri collected in this study can be usefully applied to morphological research on cladocerans. Furthermore, such research can enhance the precision of biomass estimation for cladoceran species and provide fundamental data for various aquatic ecosystem studies that require biomass information.