THE LATE PALEOCENE TO EARLY EOCENE POLAR FORESTS OF CANADA: A PALEOBOTANICAL RECONSTRUCTION OF CLIMATE AND ECOSYSTEMS
Notice bibliographique
Résumé
The Canadian High Arctic during the late Paleocene–early Eocene was home to an ecosystem composed of temperate and tropical flora and fauna. The fossil-bearing deposits on Ellesmere and Axel Heiberg islands contain the best of record of these, now extinct, high latitude ecosystems. These fossil flora are preserved in fluvial sediments indicative of a flood plain environment, with evidence of crevasse splay and deltaic deposits, interbedded with coal sequences, and rare layers of volcanic ash. The paleolatitude of these islands during the early Paleogene has been estimated at approximately ~75-80°N. These fossil floras have been placed stratigraphically in the upper Paleocene–lower Eocene, possibly occurring during or following one of the early Eocene hyperthermals (e.g. the Paleocene-Eocene Thermal Maximum or PETM, or the Eocene Thermal Maximum 2 or ETM2). Reported here is a comprehensive assessment of the character and composition of these now extinct high latitude forests. Paleoclimate is assessed using physiognomic analysis of 3 leaf megafloras (Split Lake, Stenkul Fiord and Strathcona Fiord), and nearest living relative (Bioclimatic Analysis) on the palynoflora from the Margaret Formation from Ellesmere Island. Physiognomic approaches correlate modern leaf morphology with modern climatic parameters in order to reconstruct paleoclimate from fossil leaf assemblages. Nearest living relative methods estimate climate from fossil floras by association to modern floras and utilizing the climatic envelopes of the modern plants. The results of these analyses indicate high summer precipitation (228-249 cm/yr) and warm mean annual temperatures (10-12 °C) in the Arctic during the early Eocene, which in part corroborates prior floristic, faunal, and isotopic early Eocene Arctic studies. Nevertheless, these results contradict a prior isotopic wood analysis that suggested seasonal precipitation or monsoonal conditions were a feature of these high latitude environments. Instead, present data are consistent with prior modeling studies that showed equable precipitation (i.e., precipitation distributed equally across the summer and winter seasons) for these northern ecosystems. The equable precipitation regime, distributed across the summer light season and winter dark season, would have required a permanent to semi-permanent polar cloud cap, which may have contributed to regional warmth in the Arctic during the early Eocene. In addition, a comprehensive morphotype catalogue of fossil plants is provided. This work utilizes multiple fossil localities from Ellesmere and Axel Heiberg islands, and forms a systematic framework that establishes an early Paleogene polar flora from High Arctic latitudes in Canada. A total of 62 ‘dicot’ angiosperm morphotypes, three monocotyledonous angiosperms, 13 gymnosperms, and five pteridophyte morphotypes are described and discussed in the context of the early Paleogene world. This work presents a significant contribution to the understanding of northern-polar biodiversity and environments during the warm greenhouse climate of the early Paleogene. Finally, reported here are the first quantitative megafloral diversity estimates from Stenkul Fiord, Ellesmere Island, Canada, utilizing two purpose-made census-sampled collections supported by horizon-specific palynological analysis. Recent U-Pb geochronology places the fossil collections stratigraphically near the PETM and ETM2 hyperthermal events of the early Eocene. The fossil megafloras and palynofloras were analyzed using interpolation/extrapolation coverage-based rarefaction analysis using iNEXT in the R program, and compared against modern forests. Results of these analyses demonstrate that the early Eocene paleoarctic supported diverse forests ecosystems with floral diversity similar to modern mid-latitude broadleaf forests from North America, but that diversity was restricted as a result of photic seasonality. Furthermore, evidence shows that these ecosystems underwent floristic change probably related to the transient hyperthermal events.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 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) | 0,002 | 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 ».