Environmental drivers of phytoplankton community succession and cyanobacterial harmful algal blooms along a fluvial-lacustrine continuum
Notice bibliographique
Résumé
The integrity of freshwater resources has been continually threatened by persistent human influence through increased urbanization, agriculture and the use of chemical fertilizers. One manifestation of anthropogenic influence in aquatic ecosystems in recent decades is an increased prevalence of cyanobacterial harmful algal blooms (cyanoHABs) due to eutrophication. Proliferation of cyanoHABs can alter aquatic food webs and create low oxygen zones, which can be detrimental to freshwater life. These blooms can potentially produce toxins with the most commonly found group of toxins in the lower Great Lakes being microcystins. Surveys within Lake Erie have shown that Microcystis can contribute over 40% of cyanobacterial abundance creating communities of both toxin-producing and non toxin-producing strains. However, toxicity can be difficult to predict, as community composition depends on multiple environmental factors. According to the Paradox of the Plankton, competitive exclusion should result in phytoplankton species out-competing each other for resources and reaching eventual equilibrium; however, it is known that well-mixed bodies of water can support a vast number of species. Phytoplankton communities in the Great Lakes follow seasonal and temporal succession, and limited surveys have found that phytoplankton community structure differs between rivers and their respective lakes. The research that comprises this dissertation was conducted to gain an understanding of the drivers of these temporal and spatial differences by examining nutrients, water quality parameters and phytoplankton community composition along the continuum. Results of microcosm experiments conducted in the Thames River found there was a reduction in overall abundance and diversity of phytoplankton, and changes in community composition with lower light availability. Experimental units with higher light availability were dominated by colonial cyanobacteria, mainly Aphanocapsa. Results from research done along the fluvial-lacustrine continuum found that water quality parameters differ temporally, likely driving the differences in phytoplankton community composition. River sites were generally characterized by higher nutrient concentrations and N:P ratio whereas the lake sites had lower nutrient concentrations and higher temperatures, and the river mouth represented a zone of mixing. Phytoplankton communities follow a seasonal succession, as well, mainly dominated by diatoms in the winter and spring and shifting to cyanobacterial dominance in summer and fall. The composition of cyanoHABs is often attributed to Microcystis, however, we found colonial communities to be more diverse than expected, often co-dominated by several genera. Similar research was conducted in the Sondu River- Lake Victoria continuum as the lake is plagued by cyanoHABS as we see in Lake Erie. Though we obtained only limited results due to a lack of field supplies, they suggest that the river is an important source of nutrients contributing to the degradation of the lake. We found similar water quality characteristics along the continuum as in Ontario. This laid important groundwork for continued research in the Lake Victoria catchment and highlighted the need for continued, place-based studies and investment in African-led research. There is a scarcity of in-depth ecosystem studies conducted in this region, and gaining a better understanding of these systems could inform policy development on freshwater management in African countries. These cumulative findings provide insight into the drivers of phytoplankton community composition along fluvial-lacustrine continuums and supported the notion that cyanoHABS often are more diverse than usually understood.
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 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 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 ».