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Record W2496003542 · doi:10.1017/cbo9781139627085.009

Non-indigenous fishes and their role in freshwater fish imperilment

2015· book-chapter· en· W2496003542 on OpenAlexaff
M. Jake Vander Zanden, Nicolas W. R. Lapointe, Mauro Marchetti

Bibliographic record

VenueCambridge University Press eBooks · 2015
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsNature Conservancy of Canada
FundersU.S. Geological Survey
KeywordsFreshwater fishThreatened speciesIUCN Red ListEndangered speciesFisheryGeographyIndigenousExtinction (optical mineralogy)EcologyCypriniformesFish <Actinopterygii>BiologyHabitatCyprinidae

Abstract

fetched live from OpenAlex

INTRODUCTION The current state of freshwater biodiversity, and that of freshwater fishes in particular, can only be described as dismal (Dudgeon et al. , 2006; Burkhead, 2012; Chapters 1 and 2). Freshwater extinction rates have been estimated to be around 1000× above background extinction rates (Ricciardi & Rasmussen, 1999; Burkhead, 2012). Using North America as an example, a recent American Fisheries Society assessment indicates that 39% of North American freshwater fish taxa are imperilled: 230 are vulnerable, 190 are threatened, 280 are endangered and 61 are extinct or extirpated (Jelks et al. , 2008). Global assessments paint the same general picture (www.iucn.org). What are the factors ultimately responsible for this situation? The objective of this chapter is to examine the role of non-indigenous fishes (hereafter NIF) in the decline and imperilment of native freshwater fishes. We provide a short primer to clarify a few key terms relating to invasion biology Box 8.1). A biological invasion should not be viewed as an event, but rather a process comprised of several successive stages (Figure 8.1). The non-indigenous species introduction process begins with uptake of individuals, transport to a new area ( transport outside of native range ), and subsequently release into the wild ( introduction to the wild ). These released individuals may then establish a self-sustaining population in the new area ( establishment ), and an established population may increase in abundance and expand its geographic range ( spread ). Typically it is only when a species becomes abundant and/or widespread that it is perceived to cause ecological or economic harm ( impact ), such that the species is considered invasive (Lockwood et al. , 2013). Human values and perceptions greatly influence how and whether a non-indigenous species is viewed as having undesirable consequences. Alternatively, an introduced species population may remain small and localised in its distribution, with few or no tangible ecological or economic effects. To pass through the invasion stages shown in Figure 8.1, a species must overcome a suite of barriers to advancement. At each stage, there are ecological, environmental and stochastic forces that can either facilitate or hinder transition to subsequent stages. These may include the characteristics of the species (e.g. reproductive rate, physiological tolerance), environmental conditions (e.g. temperature or salinity match) and the nature of the introduction event (e.g. timing of introduction, number of individuals moved).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.011
GPT teacher head0.169
Teacher spread0.157 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations16
Published2015
Admission routes1
Has abstractyes

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