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Record W2946436119 · doi:10.1111/fwb.13312

Unravelling the global invasion routes of a worldwide invader, the red swamp crayfish (<i>Procambarus clarkii</i>)

2019· article· en· W2946436119 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFreshwater Biology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersAgencia de Innovación y Desarrollo de AndalucíaCentre National de la Recherche ScientifiqueNorth Carolina Museum of Natural SciencesPacific Institute for Climate Solutions
KeywordsProcambarus clarkiiBiologySwampEcologyCrayfishInvasive speciesHaplotypeRange (aeronautics)Genetic diversityGenetic structureIntroduced speciesPhylogeographyPopulationPhylogenetic treeZoologyGenetic variationGeneticsGenotype

Abstract

fetched live from OpenAlex

Abstract Understanding how introduced species succeed and become widely distributed within non‐native areas is critical to reduce the threats posed by them. Our goal was to reconstruct the main invasion routes and invasion dynamics of a global freshwater invader, the red swamp crayfish, Procambarus clarkii , through the analysis of its genetic variability in both native and invasive ranges. We inferred invasion routes and population structure from the analysis of a fragment (608 base pairs) of the mitochondrial marker cytochrome c oxidase subunit I from 1,062 individuals of P. clarkii in addition to 354 GenBank sequences, for a total of 122 populations (22 natives and 100 invaded). Genetic structure was assessed using analysis of molecular variance and non‐metric multidimensional scaling analyses. We analysed haplotype frequencies for the genetic variability in each locality and region. The haplotype network was depicted by using Pop ART software. A high haplotype diversity was found in the native range (haplotype diversity [Hd]: 0.90), but also in some non‐native areas, such as western U.S.A. (Hd: 0.80), areas of Mexico (Hd: 0.78), and some hotspots in Europe (e.g. southern Spain or Italy), suggesting a complex pattern of multiple introductions. We grouped all localities in five differentiated groups according to biogeographic origin: the native area, west Americas, east U.S.A., Asia, and Europe. Additionally, the identification of 15 haplotypes shared between at least two localities, the phylogenetic network estimation and indices of genetic differentiation among localities allowed us to identify a large genetic admixture in the native range; the two independent invasion routes (i.e. westwards and eastwards) in U.S.A. from the native range (Louisiana and Texas) with translocations within each area; a stepping‐stone introduction from U.S.A. to Japan (involving few individuals) themselves introduced to China afterwards; the entry of P. clarkii from Louisiana ( U.S.A. ) into southern Spain and their multiple secondary introductions over Europe as well as other possible introductions in central Europe. Our study emphasises the need for unravelling the global invasion routes and the demographic processes underlying the introduction of exotic species (i.e. admixture, bridgehead invasion effect, and propagule pressure) to control the spread of invasive species. Our findings highlight the value of genetic analyses to identify the geographic origin of source populations as well as the variability of invaded areas in order to reconstruct invasion dynamics and facilitate management of invasive species (e.g. through environmental DNA monitoring).

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.221
Teacher spread0.209 · 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