Is normalized biomass really abundance? pitfalls, artifacts, and misconceptions in the field of size spectra analysis: a case for back-transformed spectra and standardized binning

TL;DR

This paper critically examines the normalized biomass size spectrum (NBSS), revealing its flaws and proposing a new back-transformed, standardized binning method to improve biomass analysis accuracy and comparability.

Contribution

It introduces a novel back-transformation approach, standardized binning, and high-resolution KDE plots to address biases and misconceptions in size spectra analysis.

Findings

NBSS can misrepresent biomass due to binning artifacts.

The proposed bNBS retains original biomass units and improves accuracy.

Standardized binning enables better inter-regional and temporal comparisons.

Abstract

The NBSS (normalized biomass size spectrum) is a common, intuitive approach for the study of natural ecosystems. However, very few studies have been dedicated to verifying possible flaws and paradoxes in this widely used method. Evident points of concern of the NBSS method are 1.) the loss of variability due to binning and 2.) the use of intriguing non-biomass units (such as abundance units) on biomass spectra. The main objectives of this study were to verify, test and analyze the procedures involved in transformations that lead to the NBSS plot, and to check for the correctness of currently used units, while testing the hypothesis that NBSS indeed represents biomass, not abundance or biomass flux (dB/dM), while developing i.) a new conceptual framework, ii.) new terminology, iii.) a novel back-transformation method, iv.) high-resolution kernel density estimation (KDE) plots of the density distribution shape, and v.) a new calculation method for numerical values, dimensions, and units. Extensive tests with in situ and synthetic (simulated) data were used to compare the original biomass distributions with binned outputs. Original biomass units and dimensions are retained in the proposed robust 'bootstrapped, backtransformed, and normalized biomass spectrum' (bNBS). The combination of quantitative binning and non-parametric KDE intends to address the importance of intuitive, high-resolution, simple plotting methods and the relevance of avoiding binning artifacts and oversimplifications. If a standardized binning vector and units are used, the proposed bNBS may allow for a new approach of robust size spectra science, that allows for quantitative inter-comparisons of biomass across regions and time periods.