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Publikationstyp
Wissenschaftlicher Artikel
Erscheinungsjahr
2021
Application of the closure principle computational approach test to assess ecotoxicological field studies: comparative analysis using earthworm field test abundance data
Application of the closure principle computational approach test to assess ecotoxicological field studies: comparative analysis using earthworm field test abundance data
Autor:innen
Herausgeber
Quelle
Environmental Toxicology and Chemistry
40 (2021), Heft 6
40 (2021), Heft 6
Schlagwörter
Ökotoxikologie, Regenwurm
Zitation
DANIELS, Benjamin, Martina ROSS-NICKOLL, Stephan JÄNSCH und Silvia PIEPER, 2021. Application of the closure principle computational approach test to assess ecotoxicological field studies: comparative analysis using earthworm field test abundance data. Environmental Toxicology and Chemistry [online]. 2021. Bd. 40 (2021), Heft 6. DOI 10.60810/openumwelt-1304. Verfügbar unter: https://openumwelt.de/handle/123456789/3405
Zusammenfassung englisch
Field studies to determine the effects of chemicals on earthworm communities are generally conducted according to International Organization for Standardization standard 11268-3 (and later comments). However, statistical test procedures suggested in the guideline are frequently criticized, mainly for 2 reasons: 1) Earthworm abundances are count data and often do not fulfill requirements for multiple t tests (normal distribution and homogeneity of variance), and 2) the resulting toxicity metrics of multiple testing procedures (no/lowest-observed-effect concentrations [NOEC/LOEC]) fail to adequately detect the actual level of effects. Recently, a new method to overcome these shortcomings was presented by the introduction of the closure principle computational approach test (CPCAT). We applied this statistical method to assess chemical effects on abundance in a large dataset of 26 earthworm field studies (with up to 3 test chemical application rates) and an additional extended study with 6 application rates. A comparative analysis was provided considering results of well-established multiple testing approaches (Dunnett's test) with particular consideration of the degree of overdispersion found in these data. It was shown that the CPCAT detects substantially more effects in earthworm field tests as statistically significant than standard t test approaches. This lowered the LOEC/NOEC for many chemical treatments to control comparisons. As a consequence, the statistically detected NOECs/LOECs were often set at lower percentage deviations between control and chemical treatment. This is the first time the performance of the CPCAT has been assessed within a comprehensive analysis of earthworm field study data. Environ Toxicol Chem 2021;40:1750-1760. © 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. © 2021 The Authors