Document of bibliographic reference 350990

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Weight-to-weight conversion factors for benthic macrofauna: recent measurements from the Baltic and the North seas
Abstract
The availability of standardised biomass data is essential for studying population dynamics, energy flows, fisheries and food web interactions. To make the estimates of biomass consistent, weight-to-weight conversion factors are often used, for example to translate more widely available measurements of wet weights into required dry weights and ash-free dry weight metrics. However, for many species and groups the widely applicable freely available conversion factors have until now remained very rough approximations with high degree of taxonomic generalisation. To close up this gap, here for the first time we publish the most detailed and statically robust list of ratios of wet weight (WW), dry weight (DW) and ash-free dry weight (AFDW). The dataset includes over 17 000 records of single measurements for 497 taxa. Along with aggregated calculations, enclosed reference information with sampling dates and geographical coordinates the dataset provides a broad opportunity for reuse and repurposing. It empowers the future user to do targeted sub-selections of data to best combine them with their own local data, instead of only having a single value of conversion factor per region. The dataset can thereby be used to quantify natural variability and uncertainty. The dataset is available via an unrestricted repository from https://doi.org/10.12754/data-2021-0002-01 (Gogina et al., 2021).
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000739386100001
Bibliographic citation
Gogina, M.; Zettler, A.; Zettler, M.L. (2022). Weight-to-weight conversion factors for benthic macrofauna: recent measurements from the Baltic and the North seas. ESSD 14(1): 1-4. https://dx.doi.org/10.5194/essd-14-1-2022
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Mayya Gogina
author
Name
Anja Zettler
author
Name
Michael Zettler

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.5194/essd-14-1-2022

Document metadata

date created
2022-04-07
date modified
2022-04-08