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Patrick D. Armitage

Researcher at Freshwater Biological Association

Publications -  110
Citations -  8482

Patrick D. Armitage is an academic researcher from Freshwater Biological Association. The author has contributed to research in topics: RIVPACS & Fauna. The author has an hindex of 45, co-authored 110 publications receiving 8043 citations. Previous affiliations of Patrick D. Armitage include Bermuda Biological Station for Research.

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Biological Effects of Fine Sediment in the Lotic Environment

TL;DR: A holistic approach to the problems associated with finesediment is outlined to aid in the identification of sediment sources, transport, and deposition processes in the river catchment, and the multiple causes and deleterious impacts associated with fine sediments on riverinehabitats, primary producers, macroinvertebrates, and fisheries are identified.
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The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites

TL;DR: In this paper, the performance of the BMWP system across 268 sites on 41 rivers providing a wide range of physical and chemical features has been appraised and changes in score and ASPT with respect to season and sampling effort have been examined.
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A preliminary classification of running‐water sites in Great Britain based on macro‐invertebrate species and the prediction of community type using environmental data

TL;DR: In this article, the authors used detrended correspondence analysis (DCA) and two-way indicator species analysis (TWINSPAN) to classify 268 sites on forty-one river systems throughout Great Britain.
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The impact of fine sediment on macro-invertebrates

TL;DR: In this article, the authors review the evidence available for deriving improved guidelines on the loading of fine sediment to rivers based on the impact on macro-invertebrates and conclude that existing water quality guidelines for sediment management are unlikely to be appropriate.
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The prediction of the macro‐invertebrate fauna of unpolluted running‐water sites in Great Britain using environmental data

TL;DR: In this article, a procedure has been developed which uses environmental data to predict the probabilities of macro-invertebrate taxa occurring at running-water sites in Great Britain.