Recovery of macroinvertebrate species richness in acidified upland waters assessed with a field toxicity model

Stockdale, Anthony; Tipping, Edward ORCID: https://orcid.org/0000-0001-6618-6512; Fjellheim, Arne; Garmo, Øyvind A.; Hildrew, Alan G.; Lofts, Stephen ORCID: https://orcid.org/0000-0002-3627-851X; Monteith, Don T. ORCID: https://orcid.org/0000-0003-3219-1772; Ormerod, Stephen J.; Shilland, Ewan M.. 2014 Recovery of macroinvertebrate species richness in acidified upland waters assessed with a field toxicity model. Ecological Indicators, 37 B. 341-350. https://doi.org/10.1016/j.ecolind.2011.11.002

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Official URL: http://dx.doi.org/10.1016/j.ecolind.2011.11.002

Abstract/Summary

The WHAM-FTOX model uses chemical speciation to describe the bioavailability and toxicity of proton and metal mixtures (including Al) to aquatic organisms. Here, we apply the previously parameterised model to 45 UK and Norwegian upland surface waters recovering from acidification, to compare its predictions of themaximumspecies richness of the macroinvertebrate Orders Ephemeroptera, Plecoptera and Trichoptera (SR-EPT) with time-series observations. This work uses data from two national scale survey programmes, the Acid Waters Monitoring Network in the UK and a lakes survey in Norway. We also investigate data from a long-studied catchment, Llyn Brianne in Wales. For the national surveys, model results relate well with actual trends, with Regional Kendall analysis indicating biological recovery rates for both actual and predicted species richness that are generally consistent (1.2–2.0 species per decade). However, actual recovery rates in AWMN lakes were less than in the rivers (0.6 vs. 2.0 species per decade), whilst predicted rates were similar (1.7 vs. 2.0). Several sites give a very good fit between model predictions and observations; at these sites chemistry is apparently the principal factor controlling limits of species richness. At other sites where there is poorer agreement between model predictions and observations, chemistry can still explain some of the reduction in species richness. However, for these sites, additional (un-modelled) factors further suppress species richness. The model gives a good indication of the extent of these un-modelled factors and the degree to which chemistry may suppress species richness at a given site.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ecolind.2011.11.002
Programmes:	CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 3 - Managing Threats to Environment and Health > BGC - 3.2 - Provide the evidence base for setting Environment Quality Standards ...
UKCEH and CEH Sections/Science Areas:	Parr Shore
ISSN:	1470-160X
Additional Keywords:	acidification, bioavailability, chemical speciation, lakes, macroinvertebrates, modelling, streamwaters, toxicity
NORA Subject Terms:	Ecology and Environment Chemistry
Date made live:	04 Dec 2013 17:13 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/504119

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.ecolind.2011.11.002

Programmes:

CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 3 - Managing Threats to Environment and Health > BGC - 3.2 - Provide the evidence base for setting Environment Quality Standards ...

UKCEH and CEH Sections/Science Areas:

Parr
Shore

ISSN:

1470-160X

Additional Keywords:

acidification, bioavailability, chemical speciation, lakes, macroinvertebrates, modelling, streamwaters, toxicity