Literature DB >> 24647601

High frequency variability of environmental drivers determining benthic community dynamics in headwater streams.

M A Snell1, P A Barker, B W J Surridge, A R G Large, J Jonczyk, C McW H Benskin, S Reaney, M T Perks, G J Owen, W Cleasby, C Deasy, S Burke, P M Haygarth.   

Abstract

Headwater streams are an important feature of the landscape, with their diversity in structure and associated ecological function providing a potential natural buffer against downstream nutrient export. Phytobenthic communities, dominated in many headwaters by diatoms, must respond to physical and chemical parameters that can vary in magnitude within hours, whereas the ecological regeneration times are much longer. How diatom communities develop in the fluctuating, dynamic environments characteristic of headwaters is poorly understood. Deployment of near-continuous monitoring technology in sub-catchments of the River Eden, NW England, provides the opportunity for measurement of temporal variability in stream discharge and nutrient resource supply to benthic communities, as represented by monthly diatom samples collected over two years. Our data suggest that the diatom communities and the derived Trophic Diatom Index, best reflect stream discharge conditions over the preceding 18-21 days and Total Phosphorus concentrations over a wider antecedent window of 7-21 days. This is one of the first quantitative assessments of long-term diatom community development in response to continuously-measured stream nutrient concentration and discharge fluctuations. The data reveal the sensitivity of these headwater communities to mean conditions prior to sampling, with flow as the dominant variable. With sufficient understanding of the role of antecedent conditions, these methods can be used to inform interpretation of monitoring data, including those collected under the European Water Framework Directive and related mitigation efforts.

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Year:  2014        PMID: 24647601     DOI: 10.1039/c3em00680h

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  3 in total

1.  Diatoms as indicators of the effects of river impoundment at multiple spatial scales.

Authors:  Hendrik J Krajenbrink; Mike Acreman; Michael J Dunbar; Libby Greenway; David M Hannah; Cédric L R Laizé; David B Ryves; Paul J Wood
Journal:  PeerJ       Date:  2019-11-27       Impact factor: 2.984

2.  Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data.

Authors:  Lester L Yuan; Nathan J Smucker; Christopher T Nietch; Erik M Pilgrim
Journal:  Freshw Sci       Date:  2022-03       Impact factor: 2.353

3.  Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding.

Authors:  Nathan J Smucker; Erik M Pilgrim; Huiyun Wu; Christopher T Nietch; John A Darling; Marirosa Molina; Brent R Johnson; Lester L Yuan
Journal:  Sci Total Environ       Date:  2022-04-01       Impact factor: 10.753

  3 in total

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