Patterns and mechanisms of plant invasions: cross-habitat insights from central Alberta
Notice bibliographique
Résumé
Biological invasions are a leading cause of biodiversity loss and ecosystem change globally, with non-native vascular plants altering nutrient cycling, disturbance regimes, and community structure. Non-native plant invasions are increasingly acknowledged as context-dependent processes. Yet relatively few studies have disentangled patterns and mechanisms of invasions across habitat types, although habitat context has been suggested to be a key factor underlying invasion dynamics. Research on habitat context has relied either on observational surveys to describe levels of invasion or manipulative experiments to test for habitat invasibility. When combined, these contrasting approaches could help us understand whether these two metrics align. This thesis examined the role of habitat type in shaping invasion processes in the Central Parkland Natural Subregion of Alberta, and its interaction with propagule pressure, disturbance, and species identity. I tested hypotheses using field surveys and field experiments in a landscape defined by natural gradients and a legacy of agricultural and industrial land use. In Chapter 2, I quantified the relative richness and cover of agronomic and noxious species across seven habitat types. My research was the first to show that agronomic species – those intentionally introduced for forage and reclamation – can be a dominant component of the non-native flora, surpassing noxious weeds in both frequency and cover. Additionally, levels of invasion varied significantly by habitat type, with ruderal habitat showing the highest levels of invasion and saline marsh the lowest. In Chapter 3, I explored how habitat type interacts with environmental and anthropogenic predictors and species identity (agronomic vs. noxious) in shaping of non-native richness and cover. Habitat type, native plant cover, and proxies for propagule pressure (e.g. road length, amount of nearby cultivated land) emerged as significant predictors, although effects depended on species identity. Agronomic species were strongly associated with anthropogenic land use, while noxious species showed weaker and more variable responses, possibly due to their smaller frequency and abundance, and thus a higher stochasticity. In Chapter 4, I experimentally manipulated propagule pressure and soil disturbance across three habitat types to disentangle intrinsic habitat invasibility from realized levels of invasion. Germination increased with propagule pressure across all study species and habitats, but responses varied by habitat and species identity. Notably, prairie grassland showed strong invasion resistance despite exhibiting high levels of invasion in field surveys. Together, these findings highlight that plant invasions are shaped by complex, context-dependent interactions among habitat characteristics, human land use, and species identity. Overall, my thesis shows that land use legacies, disturbance and propagule pressure can override intrinsic resistance in habitat types, leading to high levels of invasion. A novel finding is that agronomic species represent a uniquely challenging threat: they are widespread, unregulated, and strongly linked to economic activity, yet ecologically disruptive. I argue for a shift toward habitat-specific management strategies that integrate species identity, landscape context, and socio-economic trade-offs. These should include limiting propagule pressure from agronomic species, promoting native vegetation recovery, and re-evaluating practices to balance ecological resilience with human land use. By emphasizing the role of context in non-native plant invasion dynamics, this thesis contributes to a more nuanced and practical understanding of plant invasions.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».