Anthropogenic development over the last ~200 years leaves physical and geochemical imprints in lake sediment records
Notice bibliographique
Résumé
Lakes, and the environment in general, have been subjected to important modifications when considering the last 200 years. While local case studies are informative about the specific modification brought to their environment, generalizing changes over large geographic areas is insightful to define the magnitude, scale and frequency of environmental change more clearly. My PhD thesis aims to: (1) identify the spatial and temporal patterns of lake sedimentation rates over the past ~200 years; and (2) quantify the magnitude and direction of geochemical change recorded in lake sediments and identify predictors associated with their distribution and dynamics across the landscape. In my first chapter, I focused on the global variation in lake sedimentation rates using published records and considered both the spatial and temporal distribution of lake sedimentation rates. In this chapter, I was able to shed light on the acceleration of lake sedimentation rates around the world and to demonstrate a significant association between increasing sedimentation rates and anthropogenic land use metrics such as cropland and urban cover. In my second chapter, I narrowed in on Eastern Canada, a region which spans thousands of square kilometers and comprises a wide range of land use and climate using a network of 37 sediment cores. In this chapter, after having developed a reproducible framework for producing 210Pb-based chronologies, I found that predictors of lake sedimentation rate at a global scale were also significant when considering this smaller geographical extent. These findings reinforced the idea that anthropogenic contributions were prominent predictors of lake sedimentation rate patterns. In my third chapter, using the same network of sediment cores, I characterized the specific sediment geochemical constituents responsible for observed differences across Eastern Canada, which was primarily a gradient of organic to inorganic content. Another finding of this chapter was the detection of a temporal gradient in sedimentary metals such as lead and zinc. Watershed land-use, measured as human population and cropland cover were key predictors of sedimentary composition, with metals co-varying primarily with human population, while watershed geology accounted for a lot of variation in both the organic and inorganic content of the sediment. Finally, in my fourth chapter, I considered the effect of lake acidification and eutrophication, key environmental stressors, on the concentration and accumulation of lead (Pb) in lake sediments by collecting sediment cores from the Experimental Lake Area (IISD-ELA), where whole-lake manipulations had been carried out during the late 1960s – present. I hypothesized that Pb accumulation rates would be muted in acidified lakes relative to reference lakes, whereas eutrophied lakes would show accelerated Pb accumulation rates, due to changes in Pb solubility and retention. My results aligned with my hypothesis and demonstrated the positive influence of dissolved organic carbon (DOC) with Pb accumulation in lake sediments across the intervention period. Overall, my PhD thesis demonstrated the profound impact of human activities on the cycling of numerous sedimentary properties, including sedimentation rates and the distribution of geochemical constituents across multiple scales. The time series and model results developed not only inform site specific landscape management, but also contribute key data for more global modelling efforts
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».