Results 201 to 210 of about 48,259 (315)
Planktonic larval stages—an adaptation to lower predation rates in the pelagic environment?
Abstract A majority of marine benthic macroinvertebrate and fish species have planktonic larval stages that disperse in the water column from days to months. However, the adaptive significance of pelagic larvae, and whether predation is higher in the pelagic or the benthic environment, is still debated, partly due to a lack of studies assessing larval ...
Per‐Olav Moksnes +3 more
wiley +1 more source
Effects of food quantity and quality on the life history of <i>Daphnia lumholtzi</i> in Mwanza Gulf (Lake Victoria, Tanzania). [PDF]
Cornelissen IJM +3 more
europepmc +1 more source
Plankton of the Bermuda Oceanographic Expeditions. VII. Siphonophora taken during the Year 1931
A. K. Totton
openalex +1 more source
Abstract Analyses of trait dynamics provide new insights into the dynamics of communities and ecosystems. While zooplankton traits—and especially the defensive traits—of zooplankton are well studied in the laboratory, there are hardly any studies analyzing long‐term dynamics of zooplankton traits.
Marjohn Yucada Baludo, Dietmar Straile
wiley +1 more source
Heterocyst-infecting chytrid parasites reduce nitrogen fixation and host growth under nitrogen-limiting conditions in the cyanobacterium <i>Dolichospermum sp</i>. [PDF]
Xu X +3 more
europepmc +1 more source
Abstract Stephanodiscus binderanus is a bloom‐forming diatom abundant in winter and persisting into spring in the Laurentian Great Lakes. Climate change impacts these blooms by altering ice cover, turbidity, light penetration, and water temperature.
Katelyn McKindles +4 more
wiley +1 more source
On the ecological duality between ciliates and dinoflagellates across marine ecosystems. [PDF]
Calbet A.
europepmc +1 more source
Integrating phytoplankton phenology, traits, and model‐data fusion to advance bloom prediction
Abstract While there is a diversity of approaches for modeling phytoplankton blooms, their accuracy in predicting the onset and manifestation of a bloom is still lagging behind what is needed to support effective management. We outline a framework that integrates trait theory and ecosystem modeling to improve bloom prediction.
Matthew R. Hipsey +6 more
wiley +1 more source

