Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32288
Title: Zinc and Copper Have the Greatest Relative Importance for River Macroinvertebrate Richness at a National Scale
Authors: Johnson, AC
Sadykova, D
Qu, Y
Keller, VDJ
Bachiller-Jareno, N
Jürgens, MD
Eastman, M
Edwards, F
Rizzo, C
Scarlett, PM
Sumpter, JP
Keywords: river;freshwater invertebrates;statistical modeling;chemical stressors;habitat and geographic conditions;chemical structure;environmental modeling;mathematical methods;metals;wastewater
Issue Date: 17-Feb-2025
Publisher: American Chemical Society.
Citation: Johnson, A.C. et al. (2025) 'Zinc and Copper Have the Greatest Relative Importance for River Macroinvertebrate Richness at a National Scale', Environmental Science and Technology, 59 (8), pp. 4068 - 4079. doi: 10.1021/acs.est.4c06849.
Abstract: It is important to discover what change led to the improvement in European macroinvertebrate biodiversity in the period from 1990−2000s and what prevents further desirable gains from taking place today. A 30-year data set from 1,457 macroinvertebrate monitoring sites spread across England, with 65,032 discrete observations was combined with 41 chemical, physical, habitat, and geographic variables. This data set was analyzed using generalized linear mixed-effect models and generalized additive mixed models. To include all combinations of the variables required to address each question, required over 20,000 model runs. It was found that no variables were more consistently and strongly associated with the overall family richness than Zn and Cu. Zn and Cu led both for the era of large gains in richness up to 2005 and also in the later period of 2006–2018 when few further gains were made.
Description: Supporting Information: The Supporting Information is available free of charge at: https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c06849/suppl_file/es4c06849_si_001.pdf (1.08 MB). Information about the data set, additional statistical methodological details, uncertainty, and rationale of the methods; number of the tested environmental variables’ observations and the percentage of the missing values; overall changes in family richness; ranking variable importance by different wastewater levels; results from the GAMM model; chemical concentration trends in northern England, and the geographic distribution of Zn and Cu; ranking variable importance excluding northern sites (PDF). erms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: https://pubs.acs.org/page/copyright/permissions.html .
URI: https://bura.brunel.ac.uk/handle/2438/32288
DOI: https://doi.org/10.1021/acs.est.4c06849
ISSN: 0013-936X
Other Identifiers: ORCiD: Andrew C. Johnson https://orcid.org/0000-0003-1570-3764
ORCiD: Yueming Qu https://orcid.org/0000-0002-3742-8233
ORCiD: Nuria Bachiller-Jareno https://orcid.org/0000-0001-9732-6725
ORCiD: Monika D. Jürgens https://orcid.org/0000-0002-6526-589X
ORCiD: John P. Sumpter https://orcid.org/0000-0002-5778-0365
Appears in Collections:Dept of Life Sciences Research Papers

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