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Enregistrement W6982990746

Leaf morphological and anatomical variations of paper birch populations along environmental gradients across Canada

2014· dissertation· en· W6982990746 sur OpenAlex

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Notice bibliographique

RevueKnowledge Commons (Lakehead University) · 2014
Typedissertation
Langueen
DomaineMedicine
ThématiqueMedicinal Plant Extracts Effects
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVegetation (pathology)EctothermPopulationRange (aeronautics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Leaf morphology and anatomy have been found to vary considerably among tree
\nspecies, and leaf characteristics have widely been used for analyzing plant growth and
\nresource use strategies because of their structural adaptation to withstand environments.
\nConsidering the changing climate projections, early-successional, broad niched species
\nlike paper birch (Betula papyrifera Marsh.) are expected to increase dominance due to a
\nzonal shift of natural vegetation and/or open gaps within the current vegetation zones.
\nHence, it is important to understand factors such as leaf characteristics that enable these
\npioneer species to inhabit a wide geographic range and their increasing dominance.
\nPaper birch is a pioneer tree species in North America that inhabits wide climatic
\nand geographic gradients; in addition, the species has developed different leaf
\nmorphology and anatomy that have allowed paper birch to adapt to diverse habitats. This
\nstudy examines how the leaf characteristics of paper birch vary under uniform and
\nstressed environments. The major objectives were (a) to investigate leaf characteristics
\nvariations in paper birch populations grown in uniform environmental conditions as in a
\ngreenhouse and a common garden; (b) to correlate between leaf characteristics and paper
\nbirch?s environment of origins; (c) to investigate leaf characteristic variations in paper
\nbirch populations grown under different carbon dioxide concentrations [CO2] and soil
\nwater levels to determine the relationship between leaf characteristics and individual or
\ninteracting effects of [CO2], water levels and populations; and (d) to analyze the
\nrelationship within and between leaf morphology and anatomy of the birch populations.
\nThe study found significant differences among paper birch populations in leaf
\nmorphological characteristics under a uniform environment at the greenhouse and the
\ncommon garden. The leaf characteristic variations in the uniform environment may be
\nrelated to the different genotypes of the birch inhabiting a wide environmental gradient.
\nIn paper birch populations grown in the common garden, significant differences in
\nstomatal density, stomatal area, pore area and guard cell width were identified. As
\nexpected, the birch populations in greenhouse and common garden environments
\nshowed significant correlations of leaf characteristics, namely specific leaf area (SLA),
\nleaf maximum width index and petiole area to latitude, longitude, elevation, temperature,
\nprecipitation and aridity index of origin. Correlation between leaf characteristics of
\npaper birch in the greenhouse showed that populations originated in limited precipitation
\n(during growing season) had low hair density on leaf adaxial surface, with larger leaf
\nwidth and petiole area. Birch populations grown in the common garden revealed that
\npopulations originated in higher mean annual precipitation had less hair density on leaf
\nadaxial surface with smaller leaf area and higher stomatal density. Relationships within
\nthe leaf characteristics revealed significant correlations within and between leaf morphology and anatomy as populations with larger leaf area had larger petiole area and
\nless adaxial hair density in greenhouse. The larger petiole in larger leaf reflects the need
\nfor mechanical strengthening to support, whereas inverse relationship between leaf area
\nand hair density possibly showed a strategy of the birch to balance water loss. In
\ncommon garden, the birch populations with larger leaf area had larger specific leaf area
\nand higher adaxial hair density but low stomatal density. All these features in paper
\nbirch populations provide a structural basis for reducing water loss through leaves and
\nincreasing water use efficiency. There was no consistency in leaf characteristics when
\nthe paper birch populations were grown in uniform environments as in the greenhouse
\nand the common garden.
\nAnalysis of the leaf characteristics in the birch showed significant differences due
\nto the interaction and/or main effects of [CO2], water levels and populations. Paper birch
\nhad decreased leaf area and increased stomatal density under elevated [CO2] which might
\nhave reduced stomatal conductance and increased water-use efficiency. Under low soil
\nwater level, paper birch populations studied had smaller stomatal area, pore area and
\nguard cell width. Contrasting with the expectation neither stomatal area was larger nor
\nstomatal density increased under low water level. A trade-off between stomatal area and
\ndensity in this study showed that stomatal area per unit leaf area remained the same.
\nHence, smaller stomatal area and guard cell width under low water level must have
\nimproved [CO2
\n] diffusion and decreased water loss compared to larger stomatal area and
\nguard cell width.
\nThe results of this study confirmed significant genotypic difference in leaf
\ncharacteristics of paper birch populations irrespective of a uniform growing
\nenvironment. The characteristics, namely leaf area, maximum width, SLA, stomatal
\ndensity and stomatal area, appear related to the environment of origin; however, these
\nrelationships were not consistent in the birch populations grown in the greenhouse and
\ncommon garden. Paper birch populations acclimated to the uniform environments;
\ndifferences in leaf area, stomatal density and stomatal area in paper birch populations
\nunder different [CO2] and soil water levels prove the birch?s ability to acclimate to
\nenvironmental changes. Lastly, integration of leaf morphology and anatomy enhanced
\npaper birch?s ability to balance between [CO2] gain and water loss.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,925
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,262
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle