Changes in peatland plant community composition and stand structure due to road induced flooding and desiccation
Notice bibliographique
Résumé
Roads built through peatlands with horizontal water flow can to act as dams that affect local hydrology and thus vegetation composition and structure. On the ‘upstream’ side of roads, soils can become waterlogged causing either increased tree mortality, or stunted tree growth; conversely, the ‘downstream’ side may experience drying resulting in deeper root growth and increased canopy cover. Interestingly, this phenomenon is not consistent between classes of peatlands (i.e. bogs, fens, and swamps) and comparable roads may disrupt tree growth patterns in one peatland, while another may be unaffected. This study examines the conditions that maintain or alter stand structure and vegetation composition in different types of road-bisected peatlands, namely that of landscape position and mineral soil substrate composition (clay, sand, silt). I assessed tree stand structure for 96 peatlands in northeast Alberta using airborne LiDAR-derived canopy cover. Vegetation data were collected for 25 peatland sites in northeastern Alberta. These sites were subsampled with 4 plots per peatland, one pair adjacent to the road, reflecting the dry versus wet conditions, and a second pair 100 meters from the road. Generalized Linear Mixed Models (GLMMs) and distance-based redundancy analyses were used to evaluate relationships between LiDAR-derived canopy cover, vascular plant species richness, vegetation cover among different groups of species or species indicators, and overall species composition among different peatland types, environmental factors, landscape postion, and road characteristics. Canopy cover and tree species composition increased on the downstream side of roads and decreased on the upstream side of roads. Species richness increased in bogs on the upstream side of roads, while being comparably lower on the upstream side than on the downstream side of roads in fens. Carex limosa, Carex canescens, and Andromeda polifolia were identified as indicators of the upstream side of roads in fens, swamps, and bogs respectively, with significant differences confirmed in GLMMs. Substrate conditions below the peat further affected responses of plants, with ericaceous shrubs positively related to amount of clay, while some forbs and sedges were positively related to amount of sand. Substrate underlying the peat also influenced the effect that roads had on species composition. Bogs developed over substrates with high sand content had floristic shifts on the upstream side of the road whereas vegetation communities were similar on both sides of the road in bogs with very little sand. This study demonstrates the value of LiDAR-derived vegetation structure metrics in evaluating changes in woody vegetation structure for road-fragmented peatlands and that wetland classifications stratified with surficial geology can be a useful indicator of responses of vegetation to roads. However, responses were variable among sites due to interactions between road orientation, substrate texture, landscape position, and peatland type.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 ».