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Record W6958777381 · doi:10.7939/82022

Bryophyte Floristic and Genetic Diversity in the Canadian Arctic Archipelago with an emphasis on Victoria Island, Nunavut

2025· dissertation· en· W6958777381 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2025
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
Fundersnot available
KeywordsBryophyteHerbariumArchipelagoOrdinationBiodiversityHabitatArcticTaxonFloristicsRange (aeronautics)

Abstract

fetched live from OpenAlex

Polar environments are experiencing rapid change with global warming. A major component of the flora in this area are the bryophytes (mosses and liverworts), which provide critical ecosystem functions in food webs and habitat complexity. Extensive knowledge of bryophytes in the Canadian Arctic Archipelago (CAA) is currently lacking, which limits the ability to track changes consequence of climate change. To address this gap, my thesis focused on assessing three levels of biodiversity: species diversity (floristics) of southwestern Victoria Island (Chapter 2), species diversity of bryophytes on a small scale (3km radius) on Victoria Island (Chapter 3), as well as molecular diversity within Aulacomnium turgidum (Wahlenberg) Schwägrichen, an arctic-alpine moss, which occurs across the CAA (Chapter 4). Chapter 2 provides an assessment of bryophyte diversity from fieldwork in southern and southeastern Victoria Island and literature and herbarium records. Data based on quantitative, opportunistic, and floristic habitat sampling from 43 sites included 114 taxa from 828 field samples, including 71 taxa previously unrecorded for Victoria Island and one species previously undescribed. High beta diversity was observed from the 43 field sites and concluded to be due to the high proportion of rare taxa and wide range of microhabitats present. Gamma diversity for Victoria Island was enumerated from fieldwork, verified herbarium collections, and publications and resulted in 138 taxa. Chapter 3 focuses on bryophyte species diversity from a fine-scale (<3 km radius) quantitative assessment of 10 terrestrial communities across a dry-wet gradient. Ordination analyses were used to evaluate distribution, abundance and the potential environmental factors influencing the community composition. Distribution of dominant and common taxa was also described. Limited taxon overlap between sites was found, also resulting in high beta diversity at this scale of sampling. Barium was found to be the only significant environmental contributor to bryophyte community assemblage. Chapter 4 examines the intraspecific variation of the moss taxon, Aulacomnium turgidum, across its range with a focus on Canadian Arctic Archipelago populations. This chapter utilizes the genetic loci ITS, trnL-F, and atpB-rbcL. Aulacomnium turgidum exhibited high intraspecific variation in the nuclear region ITS, limited variation in the chloroplast region atpB-rbcL, and all exemplars had identical trnL-F sequences, with the exception of one. Phylogeographic structure of A. turgidum populations was generally lacking. However, one atpB-rbcL haplotype (Greenland and Baffin) was differentiated from western Canada and some North American and European populations, which could indicate an ancestral haplotype. No locus from single or combined analyses supported A. turgidum as a monophyletic taxon. Interspecific indel sharing and incongruence between loci indicate potential ancient hybridization and incomplete lineage sorting. This initial evaluation of bryophyte diversity for Victoria Island is based on species diversity at two spatial scales and genetic variation of a single species across its arctic range. The data generated in this thesis includes herbarium specimens and contributions to genetic databases (GenBank and BOLD) which provide a baseline assessment of bryophyte biodiversity. These data facilitate future bryophyte monitoring and research (e.g., taxon and community shifts, conservation of rare taxa, biogeographical patterns in the Arctic) in the context of climate change.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.171
Teacher spread0.163 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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