Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it

Protists are paramount for biogeochemical cycling in every aquatic ecosystem due to their vast population sizes and physiological versatility. Numerical response (NR) and functional response (FR) experiments are cornerstones of trait-based functional ecology and are increasingly studied experimental...

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Main Author: Thomas Weisse
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Microbiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2025.1559802/full
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author Thomas Weisse
author_facet Thomas Weisse
author_sort Thomas Weisse
collection DOAJ
description Protists are paramount for biogeochemical cycling in every aquatic ecosystem due to their vast population sizes and physiological versatility. Numerical response (NR) and functional response (FR) experiments are cornerstones of trait-based functional ecology and are increasingly studied experimentally with phagotrophic aquatic protists. Such experiments provide estimates of protist growth, production and consumption rates in relation to biotic (food supply) and abiotic variables (e.g., temperature, pH, and salinity) that can be used in mathematical models of ecosystem dynamics. Until now, NR and FR experiments lack standardization and are subject to potential pitfalls that received little attention in the literature. It is a common misconception that an experimental investigation of a phagotrophic protist’s growth and ingestion rates represents a single experiment with replication. I demonstrate that a typical NR or FR experiment consists of a series of individual experiments in which not only the experimental target variable (food, i.e., prey abundance or biomass) changes but also other factors (physiological conditions of prey and predator, nutrient levels, unwanted contaminants) vary that may affect the experimental outcome. Standardizing all variables affecting a series of NR and FR experiments is virtually impossible. I further explain why FR experiments are more prone to experimental bias than NR experiments. Since it is principally impossible to perform an “ideal” NR or FR experiment, fulfilling all criteria of experimental standardization, the goal is to reduce the “noise” to obtain statistically significant and reproducible results. To this end, I provide guidelines that may help achieve this goal in future studies.
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spelling doaj-art-bfd93186e43b4baa8d817b65e1494caf2025-08-20T03:44:57ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-06-011610.3389/fmicb.2025.15598021559802Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get itThomas WeisseProtists are paramount for biogeochemical cycling in every aquatic ecosystem due to their vast population sizes and physiological versatility. Numerical response (NR) and functional response (FR) experiments are cornerstones of trait-based functional ecology and are increasingly studied experimentally with phagotrophic aquatic protists. Such experiments provide estimates of protist growth, production and consumption rates in relation to biotic (food supply) and abiotic variables (e.g., temperature, pH, and salinity) that can be used in mathematical models of ecosystem dynamics. Until now, NR and FR experiments lack standardization and are subject to potential pitfalls that received little attention in the literature. It is a common misconception that an experimental investigation of a phagotrophic protist’s growth and ingestion rates represents a single experiment with replication. I demonstrate that a typical NR or FR experiment consists of a series of individual experiments in which not only the experimental target variable (food, i.e., prey abundance or biomass) changes but also other factors (physiological conditions of prey and predator, nutrient levels, unwanted contaminants) vary that may affect the experimental outcome. Standardizing all variables affecting a series of NR and FR experiments is virtually impossible. I further explain why FR experiments are more prone to experimental bias than NR experiments. Since it is principally impossible to perform an “ideal” NR or FR experiment, fulfilling all criteria of experimental standardization, the goal is to reduce the “noise” to obtain statistically significant and reproducible results. To this end, I provide guidelines that may help achieve this goal in future studies.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1559802/fullfunctional ecologyexperimental designnoise and biasgrowth ratesingestion ratesciliates
spellingShingle Thomas Weisse
Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
Frontiers in Microbiology
functional ecology
experimental design
noise and bias
growth rates
ingestion rates
ciliates
title Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
title_full Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
title_fullStr Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
title_full_unstemmed Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
title_short Numerical and functional response of phagotrophic aquatic protists: the ideal experiment—and why we cannot get it
title_sort numerical and functional response of phagotrophic aquatic protists the ideal experiment and why we cannot get it
topic functional ecology
experimental design
noise and bias
growth rates
ingestion rates
ciliates
url https://www.frontiersin.org/articles/10.3389/fmicb.2025.1559802/full
work_keys_str_mv AT thomasweisse numericalandfunctionalresponseofphagotrophicaquaticprotiststheidealexperimentandwhywecannotgetit