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Record W141334844 · doi:10.1002/9781444323337

Salmonid Fisheries

2010· book· en· W141334844 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryBusinessBiology

Abstract

fetched live from OpenAlex

Contributors. Preface and Acknowledgements. Chapter 1 Variation in Habitat Quality for Drift-Feeding Atlantic Salmon and Brown Trout in Relation to Local Water Velocity and River Discharge (John Armstrong). Summary. 1.1 Introduction. 1.2 Defining local habitat quality. 1.3 Variation in patch quality as a function of typical salmon and trout station-holding modes. 1.4 Predicting change in patch energy value with discharge. 1.5 Other considerations. 1.6 Synthesis and discussion. Acknowledgements. References. Chapter 2 'Catchment Consciousness' Will Mantra, Metric or Mania Best Protect, Restore and Manage Habitats? (Malcolm Newson). Summary. 2.1 Introduction. 2.2 'Catchment consciousness'. 2.3 The ecosystem approach: in search of a 'mother metric' integrity. 2.4 The search for physical habitat metrics. 2.5 Integrity within and beyond the river channel: landscape ecology and scalar salar. 2.6 Entering the watershed entering the real world. 2.7 Tooling up robust metrics: uncertain science and adaptive management to secure integrity for the salmon. Acknowledgements. References. Chapter 3 In-Channel Placement of Structure to Enhance Habitat Complexity and Connectivity for Stream-Dwelling Salmonids (Paul Kemp). Summary. 3.1 Introduction. 3.2 Benefits of structural complexity for fish. 3.3 Restoration failures and inconclusive outcomes. 3.4 Variation in biological response to manipulation of physical habitat. 3.5 Costs of structural complexity for fish. 3.6 Physical structure and habitat fragmentation: culvert restoration. 3.7 Discussion. Acknowledgements. References. Chapter 4 Integrating Science and Practice for the Sustainable Management of In-Channel Salmonid Habitat (David Sear). Summary. 4.1 Why do we manage in-channel habitat? 4.2 In-channel habitat: the conceptual basis for within-channel management. 4.3 Conceptualising in-channel habitat as a mosaic of dynamic connected patches. 4.4 Linking in-channel habitats to landscape processes. 4.5 Managing in-channel habitats as SHMs. 4.6 Discussions. Acknowledgements. References. Chapter 5 Monitoring Salmon Stream Restoration: Guidelines Based on Experience in the American Pacific Northwest (Philip Roni, George Pess and Sarah Morley). Summary. 5.1 Introduction. 5.2 Steps for designing an effective monitoring programme. 5.3 Case studies. 5.4 Discussion. Acknowledgements. References. Chapter 6 Restoring Ecological Connectivity in Rivers to Improve Conditions for Anadromous Brown Trout (Salmo trutta) (Larry Greenberg and Olle Calles). Summary. 6.1 Introduction. 6.2 Material and methods. 6.3 Results and discussion. 6.4 Conclusions and implications for management. Acknowledgements. References. Chapter 7 Riparian Management: Alternative Paradigms and Implications for Wild Salmon (Keith Nislow). Summary. 7.1 Introduction. 7.2 Riparian management and Atlantic salmon. 7.3 The species-requirement approach. 7.4 The process-restoration approach. 7.5 Integrating species-requirements and process-based approaches in riparian management. 7.6 Case study: riparian management for LWD recruitment in northeastern US Atlantic salmon streams. 7.7 Conclusions and recommendations. Acknowledgements. References. Chapter 8 Does Fencing of British Lowland Streams Encourage Greater Salmonid Fish Stocks? (David Summers). Summary. 8.1 Introduction. 8.2 The effects of grazing on lowland streams. 8.3 Potential impacts on fish in lowland streams. 8.4 Fencing is it a solution? 8.5 Ongoing management considerations. 8.6 Conclusions. References. Chapter 9 Effects of Competing Brown Trout on Habitat Use by Atlantic Salmon Parr: Controlled Investigations in a Laboratory Stream (Johan H¨ojesjo, Lee Stradmeyer, Sian Griffiths and John Armstrong). Summary. 9.1 Introduction. 9.2 Methods. 9.3 Results. 9.4 Discussion. Acknowledgements. References. Chapter 10 Pool Restoration for Atlantic Salmon (Salmo salar) in Gravel Bed Rivers in New Brunswick, Canada (William C. Hooper). Summary. 10.1 Introduction. 10.2 Methods. 10.3 Results. 10.4 Discussion. Acknowledgements. References. Chapter 11 Nutrient Restoration Using Atlantic Salmon Carcasses as a Component of Habitat Management in Scottish Highland Streams (Keith Nislow, Brian Kennedy, John Armstrong, Peter Collen, Janey Keay and Simon McKelvey). Summary. 11.1 Introduction. 11.2 Methods. 11.3 Results. 11.4 Discussion. References. Chapter 12 Habitat Requirements for Juvenile Salmonids in Chalk Streams: How will Management Best Address Conflicting Interests? (William Riley and Mike Pawson). Summary. 12.1 Introduction. 12.2 Materials and methods. 12.3 Results. 12.4 Discussion. Acknowledgements. References. Chapter 13 Aerial Photography as a Tool for Salmonid Habitat Assessment (Stuart Clough, David Campbell, David Bradley and Keith Hendry). Summary. 13.1 Introduction. 13.2 Methods. 13.3 Results. 13.4 Discussion. 13.5 Conclusions. Acknowledgements. References. Chapter 14 Lymington River Fish Passage Easements: A Case Study from the New Forest (UK) (Mark Sidebottom). Summary. 14.1 Introduction. 14.2 Easements at culverts and 'Irish fords'. 14.3 Catchment-specific easements. 14.4 Conclusions. Acknowledgements. References. Chapter 15 A Catalyst for Trout Habitat Improvement: A Review of the Wild Trout Trust Advisory Visit Programme (Tim Jacklin, Simon Johnson and Edward Twiddy). Summary. 15.1 Introduction. 15.2 Work of the WWT. 15.3 AV case study River Glaven (Norfolk). 15.4 Discussion. Reference. Chapter 16 Influences of Environmental Variables and Stocking on Atlantic Salmon Upstream Migrations in the River Thames, UK (Carolyn Rosten, Richard Horsfield, Karen Anderson and Andy Turnpenny). Summary. 16.1 Introduction. 16.2 Methods. 16.3 Results. 16.4 Discussion. Acknowledgements. References. Chapter 17 Managing the Effects of Climate Change: Fishery Management s Greatest Challenge (David Solomon and Graham Lightfoot). Summary. 17.1 Introduction. 17.2 The southern limit of lowland distribution. 17.3 Temperature tolerance. 17.4 Evidence of and predictions for temperature changes. 17.5 Northward shifts in distribution. 17.6 The limited scope for mitigation. 17.7 Conclusion. References. Index. Colour plates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.445
Threshold uncertainty score0.791

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4450.357

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.179
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2010
Admission routes1
Has abstractyes

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