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Record W4405176120 · doi:10.1016/j.aquabot.2024.103852

Seasonal trait variation and functional niche overlap of macrophyte growth forms

2024· article· en· W4405176120 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.

Bibliographic record

VenueAquatic Botany · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalUniversité du QuébecMcGill University
Fundersnot available
KeywordsMacrophyteNicheTraitVariation (astronomy)BiologyEcologySeasonalityPhysics

Abstract

fetched live from OpenAlex

Macrophytes provide many ecosystem processes and functions which support freshwater ecosystem services, and the ecological role of a macrophyte is related to its growth form (emergent, free-floating, floating rooted, submerged). Differences between growth forms and the relationships between ecosystem functioning and environmental conditions can be described by functional traits. Seasonal variation in functional trait expression can lead to alterations in ecosystem functioning. As such, when inferring trait-environment relationships, a species’ functional niche should capture this temporal variation. However, it is unknown how functional traits in macrophytes vary seasonally, and the importance of between-growth form variation. Using hypervolume analysis and linear mixed effect modelling, we demonstrate that seasonal trait variation within-growth forms is stronger than between-growth form variation over time. We found that emergent macrophytes have significantly (p < 0.01) higher specific leaf area in June compared to September. Whereas leaf nutrients (total nitrogen and phosphorus), are significantly higher early in the growing season for emergent, floating rooted, and submerged plants (p < 0.05). We show that the large functional niche of submerged macrophytes is shaped by seasonal variation, and that the functional niches of all macrophyte growth forms overlap, suggesting redundancies in the maintenance of ecosystem functions. Together, this study demonstrates the influence of seasonal variation on macrophyte functional traits. Thus, seasonality is relevant to our understanding of aquatic ecosystem functioning and must be considered when determining the ecological role of macrophytes across a season. This study provides rationale for further examinations of between-growth form redundancies in the ecological role of macrophytes. • Seasonal trait variation within-growth forms exceeds between-growth form variation. • Specific leaf area and leaf nutrients are highest early in the growing season. • The functional niche of macrophytes varies by growth form. • Submerged plants have the largest functional niche, driven by seasonal variation. • Variation in leaf functional traits between growth forms is limited.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.928

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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