Publications by authors named "Sarah H Burnet"
Article Synopsis
- Cyanobacterial blooms pose significant challenges to ecological and public health, with existing research primarily focused on their initiation and duration rather than the loss processes that decrease their prevalence.
- The study delineates loss processes, defined as mechanisms that remove cyanobacterial cells from the population, exploring factors like environmental stressors and biological interactions that influence these dynamics.
- Understanding these loss processes and their variability due to different environmental conditions can enhance management strategies for cyanobacterial blooms, especially in light of changing climate conditions.
Declining oxygen concentrations in the deep waters of lakes worldwide pose a pressing environmental and societal challenge. Existing theory suggests that low deep-water dissolved oxygen (DO) concentrations could trigger a positive feedback through which anoxia (i.e.
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- - A metagenome assembled from a cyanobacterial bloom in a freshwater reservoir in eastern Oregon revealed the complete genome of Limnoraphis sp. WC205, which is 7.3 Mbp long.
- - The genome includes genes for gas vesicles, nitrogen fixation, and phycobilisomes, but importantly, Limnoraphis sp. WC205 lacks cyanotoxin genes, indicating it's non-toxic.
- - Microcystin production in the reservoir was linked to Microcystis cyanobacteria, as indicated by the presence of the mcyG gene specifically identified in their DNA.
Near-term ecological forecasts provide resource managers advance notice of changes in ecosystem services, such as fisheries stocks, timber yields, or water quality. Importantly, ecological forecasts can identify where there is uncertainty in the forecasting system, which is necessary to improve forecast skill and guide interpretation of forecast results. Uncertainty partitioning identifies the relative contributions to total forecast variance introduced by different sources, including specification of the model structure, errors in driver data, and estimation of current states (initial conditions).
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