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David C. Bradley

Researcher at Cardiff University

Publications -  20
Citations -  1142

David C. Bradley is an academic researcher from Cardiff University. The author has contributed to research in topics: Water Framework Directive & Predation. The author has an hindex of 12, co-authored 19 publications receiving 1031 citations. Previous affiliations of David C. Bradley include University of Edinburgh.

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Book ChapterDOI

Biomonitoring of Human Impacts in Freshwater Ecosystems: The Good, the Bad and the Ugly

TL;DR: It is timely to assess critically existing biomonitoring approaches to help ensure future programmes operate within a sound scientific framework and cost-effectively, as well as highlighting potentially rewarding new approaches and technologies that could complement existing methods.
Book ChapterDOI

From Natural to Degraded Rivers and Back Again: A Test of Restoration Ecology Theory and Practice

TL;DR: While the large-scale re-meandering and re-establishment of water levels at River Skjern resulted in significant recovery of riverine biota, habitat enhancement schemes at smaller-scales in other rivers were largely ineffective and failed to show long-term recovery.
Journal ArticleDOI

Community persistence among stream invertebrates tracks the North Atlantic Oscillation

TL;DR: For 14 years, the authors sampled riverine macroinvertebrates in eight independent streams from the Llyn Brianne experimental catchments in central Wales and assessed whether year-to-year persistence in rank abundance and species composition tracked the North Atlantic Oscillation.
Journal ArticleDOI

Long‐term effects of catchment liming on invertebrates in upland streams

TL;DR: In this paper, the effects of catchments of three acidified Welsh streams at Llyn Brianne were limed in 1987/88 using a replicated basin-scale experiment with a multiple BACI design.
Journal ArticleDOI

Performance of amplicon and shotgun sequencing for accurate biomass estimation in invertebrate community samples.

TL;DR: Overall, mitogenomic sequencing yielded more informative predictions of biomass content from bulk macroinvertebrate communities than metabarcoding, but for large‐scale ecological studies, metabarcode currently remains the most commonly used approach for diversity assessment.