Gutenberg Open Science: Importance of weighting high-resolution proxy data from bivalve shells to avoid bias caused by sample spot geometry and variability in seasonal growth rate

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-6966

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DC Field	Value	Language
dc.contributor.author	Schöne, Bernd R.	-
dc.contributor.author	Marali, Soraya	-
dc.contributor.author	Mertz-Kraus, Regina	-
dc.contributor.author	Butler, Paul G.	-
dc.contributor.author	Wanamaker, Alan D.	-
dc.contributor.author	Fröhlich, Lukas	-
dc.date.accessioned	2022-05-17T09:24:00Z	-
dc.date.available	2022-05-17T09:24:00Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/6978	-
dc.description.abstract	Shells of bivalve mollusks serve as archives for past climates and ecosystems, and human-environmental interactions as well as life history traits and physiology of the animals. Amongst other proxies, data can be recorded in the shells in the form of element chemical properties. As demonstrated here with measured chemical data (10 elements) from 12 Arctica islandica specimens complemented by numerical simulations, mistakes during sclerochronological data processing can introduce significant bias, adding a further source of error to paleoenvironmental or biological reconstructions. Specifically, signal extraction from noisy LA-ICP-MS (Laser Ablation—Inductively Coupled Plasma—Mass Spectrometry) data generated in line scan mode with circular LA spots requires a weighted rather than an arithmetic moving average. Otherwise, results can be in error by more than 41%. Furthermore, if variations of seasonal shell growth rate remain unconsidered, arithmetic annual averages of intra-annual data will be biased toward the fast-growing season of the year. Actual chemical data differed by between 3.7 and 33.7% from weighted averages. Numerical simulations not only corroborated these findings, but indicated that arithmetic annual means can overestimate or underestimate the actual environmental variable by nearly 40% relative to its seasonal range. The magnitude and direction of the error depends on the timing and rate of both seasonal shell growth and environmental change. With appropriate spatial sampling resolution, weighting can reduce this bias to almost zero. On average, the error reduction attains 80% at a sample depth of 10, 92% when 20 samples were analyzed and nearly 100% when 100 samples were taken from an annual increment. Under some exceptional, though unrealistic circumstances, arithmetic means can be superior to weighted means. To identify the presence of such cases, a numerical simulation is advised based on the shape, amplitude and phase relationships of both curves, i.e., seasonal shell growth and the environmental quantity. To assess the error of the offset induced by arithmetic averaging, Monte Carlo simulations should be employed and seasonal shell growth curves randomly generated based on observed variations.	en_GB
dc.description.sponsorship	Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577	-
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	550 Geowissenschaften	de_DE
dc.subject.ddc	550 Earth sciences	en_GB
dc.subject.ddc	560 Paläontologie	de_DE
dc.subject.ddc	560 Paleontology	en_GB
dc.title	Importance of weighting high-resolution proxy data from bivalve shells to avoid bias caused by sample spot geometry and variability in seasonal growth rate	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-6966	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 09 Chemie, Pharmazie u. Geowissensch.	de
jgu.organisation.number	7950	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Frontiers in Earth Science	de
jgu.journal.volume	10	de
jgu.pages.alternative	889115	de
jgu.publisher.year	2022	-
jgu.publisher.name	Frontiers Media	de
jgu.publisher.place	Lausanne	de
jgu.publisher.issn	2296-6463	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	550	de
jgu.subject.ddccode	560	de
jgu.publisher.doi	10.3389/feart.2022.889115	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Naturwissenschaften	-
Appears in collections:	DFG-491381577-G

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