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Record W4411992807 · doi:10.1016/j.flora.2025.152797

Intraspecific trait variability in four geographically widespread peatland plant species in Canada

2025· article· en· W4411992807 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFlora · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsUniversity of WaterlooSaint Mary's University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsIntraspecific competitionPeatTraitEcologyGeographyBiology

Abstract

fetched live from OpenAlex

Plant traits directly influence ecosystem carbon exchange through photosynthesis and respiration, and indirectly control nutrient cycling through structural and chemical characteristics. Efforts to understand the role of plant traits in peatland ecosystem functioning under natural and disturbed conditions have primarily focused on community and species means. However, within-species (‘intraspecific’) variability may contribute to plant and ecosystem responses to environmental change. We measured vascular plant traits that influence carbon and nutrient cycling: leaf size (LS), specific leaf area (SLA), leaf dry matter content (LDMC), leaf thickness (L th ), and plant height. For non-vascular Sphagnum moss species, we focused on traits associated with the capacity to carry water and photosynthesize: fascicle density (FD), capitulum mass (M cap ), and length-specific stem mass (M stem ). Our objective was to determine the range and potential drivers of intraspecific trait variation (ITV) at a broad environmental scale. We selected geographically widespread species Carex aquatilis, Rhododendron groenlandicum, Sphagnum fuscum , and S. magellanicum complex and sampled plants from 17 sites within Canada, from Alberta to Quebec. All vascular traits varied between species with C. aquatilis being, on average, taller with thinner and larger leaves but similar structural investment (LDMC) relative to R. groenlandicum . Across all sites, R. groenlandicum had a larger range of variation for height and LS whereas C. aquatilis ranged more in LDMC. Between sites, R. groenlandicum varied more in height whereas C. aquatilis varied more in SLA. Moss traits varied between species, with S. fuscum being, on average, smaller with greater FD than S. magellanicum complex. Across all sites, S. fuscum and S. magellanicum complex had a similar range in trait variation, but contrasting responses in ITV to climate, geography, and vapour pressure deficit. Climatic differences among sites are indicated as potential drivers of ITV in these key plant traits, with implications for ecosystem carbon and nutrient cycling.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.181
Teacher spread0.175 · 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