Biogeochemical Cycling Across the River-Shoreline-Lake Interface of the Lake Erie Watershed
Notice bibliographique
Résumé
Management strategies have historically centred around phosphorus loading control into the Great Lakes to address anthropogenic eutrophication. These strategies have met with some successive reducing the total phosphorus (TP) concentrations since 1980s. In the past 20 years, the frequency, extent, and toxicity of harmful algal blooms (HABs), especially cyanobacterial HABs, have increased particularly in the western Lake Erie basin. Factors associated with recent HABs have been linked to increase in nutrient bioavailability from diffuse sources, internal loading, and a shift in nitrogen (N):P ratios, which potentially favours non-N fixing HABs. To address this issue, federal and provincial governments in Canada have identified a 40% reduction target in TP and soluble reactive phosphorus (SRP) to mitigate nearshore HABs. However, this is a complex issue and there is still limited information on the dynamics of nutrient transport from adjacent tributaries to the western basin of Lake Erie to provide an effective watershed nutrient management plan. Further, rivers and streams are often viewed as a conduit transporting nutrients directly into lakes. This thesis aims to investigate mechanistic changes in nutrient bioavailability, identify causal sources and sinks specifically for P and N, and investigate the interplay between in-stream sediment process and nutrient cycling along a river-lake continuum. To investigate change in P bioavailability, state-of-the-art in situ wet chemical analysers were deployed to measure three fractions of P, including TP, total dissolved phosphorus (TDP) and SRP, in the Sturgeon Creek watershed and nearshore of Lake Erie. After quantifying biofouling effects during six-month deployment in the field, the calibrated high-frequency data suggest considerable spatiotemporal variation in nutrient bioavailability. The results show approximately 40% of P entering the nearshore area is considered as bioavailable. For the first time, ratios of SRP:TP were continuously measured in real-time in the field, presenting a promising tool for in situ P monitoring beyond the shoreline of Lake Erie. Real-time observations were later correlated to sediment investigations. Sediments were identified based on the potential to sequester or release P (source vs sink) along the river-lake continuum. This information was linked to impacts from land uses within the watershed of Sturgeon Creek. Water and riverbed sediments were collected from eight sites along the transect from headwater to the nearshore of Lake Erie. Analyses for nutrient chemistry, stable nitrate isotopes and sediment equilibrium phosphorus concentration (EPC0) were performed. Typically, Sturgeon Creek sees 2- , 9- , and 18-fold higher concentrations of nitrate-nitrogen (NO3-N), TP, and SRP, respectively, compared to other agricultural watersheds in the region. Stable isotope analyses suggest the sources of NO3 are likely influenced by mixing of inorganic nitrate fertiliser and organic/manure fertiliser. Although most of the locations are net phosphorus sinks, limited phosphorus retention capacity is observed in river segments where the concentrations of P has accumulated. The evidence from this study suggests a combination of nutrient influence from both residential areas and horticulture in the region. To identify the bacterial influence in this watershed on nutrient dynamics, Sturgeon Creek riverbed sediments were collected for microbial metabarcoding and metatranscriptomic analyses. The results were paired with the observed nutrient chemistry from the water column along the transect. Water samples were analysed for NO3-N, nitrite-nitrogen (NO2-N) and ammonium-nitrogen (NH4- N). Analyses of the bacterial community structure shows no significant differences in alpha diversity of active taxa. Interestingly, nitrate reducers are abundant across all sites. Post wetland locations reveal a shift in microbial communities towards anaerobic taxa, including sulphatereducing bacteria and methanotrophs. Supporting metranscriptomics analyses indicate an active N metabolism; denitrification is the dominant pathway (32 to 55%), followed by nitrification (5 to 21%) along the transect. Collectively, this investigation provides a clear link between water column chemistry and sediment microbial metabolism. Key genes of N transformation exhibit a strong correlation with the change in concentration of NO3-N, NO2-N and/or ratio of NO2/NO3. This thesis demonstrates that nutrient bioavailability, sources, and sinks can be significantly influenced by land use change along the river-lake continuum and highlights the important role of sediment microbial processes in nutrient cycling and overlying water quality. Through incorporating multiple tools, it is likely to effectively uncouple the complexity of biogeochemical processes along the river-lake continuum that under heavily anthropogenic influence. The approaches established within this work can further contribute to nutrient management design and watershed mitigation and restoration.
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 | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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) | 0,001 | 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 ».