New Zealand Journal of Marine and Freshwater Research · 2003 · 73 citations · 12 references
Abstract Regression models are developed and presented to predict dry mass (mg) from two linear dimensions (mm) for 17 benthic macroinvertebrate taxa common to littoral zones of New Zealand lakes. We also provide regression models to predict body length from head capsule width for the major insect taxa. Dry mass was best explained as a power function of all linear dimensions: M = a L b .Parameters are presented in the log 10 ‐transformed linear form of this power function. Body length was a simple linear function of head capsule width for all insect taxa, hence parameters for these models are presented as untransformed values. We also provide family level models for the Chironomidae, and compare our chironomid body length‐mass model with other published Chrionomidae length‐mass models. There was a very high degree of variability in parameter values among published length‐mass models for the family Chironomidae (mean coefficient of variation for mass at length = 148%). We discuss the potential causes and implications of this variability.
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Biometry. The Principles and Practice of Statistics in Biological Research
Stephen E. Fienberg, Robert R. Sokal, F. James Rohlf et al. · Biometrics · 1970 · 9.4K citations
Arthur C. Benke, Alexander D. Huryn, Leonard A. Smock et al. · Journal of the North American Benthological Society · 1999 · 1.1K citations