Results 271 to 280 of about 185,542 (360)

Extreme summer storm elicits shifts in biogeochemistry, primary productivity, and plankton community structure in a large‐scale lake enclosure experiment

open access: yesLimnology and Oceanography Letters, EarlyView.
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

Salinity is diagnostic of maximum potential chlorophyll and phytoplankton community structure in an Eastern Boundary Upwelling System

open access: yesLimnology and Oceanography Letters, EarlyView.
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

Road salt pollution shifts urban stormwater ponds toward cyanobacterial dominance

open access: yesLimnology and Oceanography Letters, EarlyView.
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

Predicting photosynthesis–irradiance relationships from satellite remote‐sensing observations

open access: yesLimnology and Oceanography Letters, EarlyView.
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

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