Data of 'Towards a systematic method for assessing the impact of chemical pollution on ecosystem services of water systems'

DOI

In our paper ‘Towards a systematic method for assessing the impact of chemical pollution on ecosystem services of water systems’ (https://doi.org/10.1016/j.jenvman.2020.111873), we developed a stepwise approach to quantify the impact of sediment pollution on the total ecosystem service (ES) value provided by water systems. Thereby, we calculated the total ES value loss as a function of the multi-substance potentially affected fraction of species (msPAF). The function is a combination of relationships between, subsequently: the msPAF(HC50), diversity, productivity and total ES value. The combined relationships showed that 1% msPAF corresponded to on average 0.5% (0.05–1.40%) of total ES value loss. Our study presents a novel methodology to assess the impact of chemical exposure on diversity, productivity, and total value that ecosystems provide.This dataset contains experimental values of diversity and productivity in terrestrial ecosystems, which is a filtered and updated version of the datasets published in several meta-analyses (i.e., Cardinale et al. (2006); Balvanera et al. (2006); Daam et al. (2019); Duffy et al. (2017)).

Identifier
DOI https://doi.org/10.17026/dans-xpt-ra7g
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xpt-ra7g
Provenance
Creator J. Wang; L.S. Lautz; T.M. Nolte; L. Posthuma; K.R. Koopman; R.S.E.W. Leuven; A.J. Hendriks
Publisher DANS Data Station Life Sciences
Contributor RU Radboud University
Publication Year 2022
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact RU Radboud University
Representation
Resource Type Dataset
Format text/xml; application/pdf; text/plain; text/csv; application/zip
Size 6458; 112510; 626; 7287; 20815
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences