Results 271 to 280 of about 185,542 (360)
Temporal and Depth-Driven Variability of Pelagic Bacterial Communities in Lake Erie: Biofilm and Plankton Dynamics. [PDF]
Robinson RL +3 more
europepmc +1 more source
Abstract Climate change increases the magnitude and frequency of extreme weather events. This includes severe summer storms altering lake physical structure, biodiversity and ecosystem processes. However, insights into lake responses to extreme storms and the underlying mechanisms primarily rest on unreplicated and observational case studies, without ...
Hans‐Peter Grossart +14 more
wiley +1 more source
Winners and losers under hydroxide-based ocean alkalinity enhancement in a Tasmanian plankton community. [PDF]
Kousoulas K +3 more
europepmc +1 more source
Abstract Coastal upwelling ecosystems associated with strong physical stirring exhibit significant mesoscale hydrographic and biological patchiness. Though many studies have found broad correlations between hydrographic properties (e.g., temperature and salinity) and phytoplankton biomass, we lack a detailed understanding of the mechanisms underlying ...
Shailja Gangrade +3 more
wiley +1 more source
Five years of high-frequency data of phytoplankton zooplankton and limnology from a temperate eutrophic lake. [PDF]
Eyring S +7 more
europepmc +2 more sources
Road salt pollution shifts urban stormwater ponds toward cyanobacterial dominance
Abstract Urban environments contend with an array of stressors, including salinization by deicing road salts. To advance understanding of how road salt pollution affects aquatic ecosystem functioning, we surveyed primary producers in 50 stormwater ponds in Brampton, Canada.
Charlie J. G. Loewen +3 more
wiley +1 more source
Multiple environmental stressors mediate cyanobacteria recruitment in microcosms simulating spring conditions from two Midwest US hypereutrophic reservoirs. [PDF]
Voyles M, Knoll LB.
europepmc +1 more source
Predicting photosynthesis–irradiance relationships from satellite remote‐sensing observations
Abstract Photosynthesis–irradiance (PI) relationships are important for phytoplankton ecology and quantifying carbon fixation rates in the environment. However, the parameters of PI relationships are typically unknown across space and time. Here we use machine learning, satellite remote‐sensing, and a database of in situ PI relationships to build ...
Gregory L. Britten +5 more
wiley +1 more source

