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Record W2068371799 · doi:10.1111/jbi.12244

Miocene rivers and taxon cycles clarify the comparative biogeography of<scp>N</scp>orth<scp>A</scp>merican highland fishes

2013· article· en· W2068371799 on OpenAlexaboutno aff
Christopher W. Hoagstrom, Visotheary Ung, Kathie Taylor

Bibliographic record

VenueJournal of Biogeography · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsTaxonEndemismGeographyBiogeographyCladogenesisRange (aeronautics)Drainage basinOriginationEarly PleistoceneEcologyCladeStructural basinAppalachiaPaleontologyPleistoceneGeologyPhylogenetic treeBiologyArchaeologyCartography

Abstract

fetched live from OpenAlex

Abstract Aim Our aims were: (1) to use recently published phylogenies of six widely distributed clades of highland‐type fishes in a comparative analysis that investigates relationships among North American highlands; (2) to construct a map of relevant (pre‐historic) river geography; and (3) to apply ecological paradigms to interpret patterns of highland‐fish cladogenesis. Our principal questions were: (1) does highland endemism correspond to pre‐historic river drainages; and (2) do patterns of speciation conform to any relevant paradigm? Location Twenty‐two North American highlands, east to west from Appalachia to the Basin and Range, north to south from the Canadian Shield to the Mesa Central. Methods We used three‐item analysis to find shared highland‐area relationships, and we used dated phylogenies and geological literature to construct a map of relevant, pre‐historic river drainages. We applied the taxon‐cycle concept to interpret results. Results Three‐item analysis identified 375 most‐parsimonious trees with a retention index of 80.4%. An intersection tree reconstructed from shared three‐area statements had a completeness index of 80.3%. Nodes on the tree identified seven major branches of one to eight highland areas each that were congruent with late Miocene river drainage patterns. Sister‐area relationships within nodes were congruent with Plio‐Pleistocene events. Older taxa have restricted distributions and some younger members of each clade are broadly distributed, consistent with predictions of the taxon cycle. Main conclusions Progenitors of highland endemics were widespread across an aggraded, alluvial landscape by the early Miocene. Middle Miocene drainage rearrangements facilitated further range expansion. Accelerated erosion in the middle Miocene, caused by tectonic uplift and climate change, created highland‐type (sediment‐starved) habitats. Parallel colonization and adaptation to these habitats and geographical isolation in the late Miocene and early Pliocene led to speciation of highland endemics. Plio‐Pleistocene drainage rearrangements allowed populations of tolerant (derivative) taxa to expand again and colonize highland areas, including emerging ones.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations47
Published2013
Admission routes1
Has abstractyes

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