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- W148977649 abstract "Algae in rivers are complexly related to environmental factors. A hierarchical conceptual model of ecological determinants helps predict variability in algal biomass, metabolism, and species composition among rivers and among seasons. This model is based on a nonequilibrium approach to predicting algal responses to environmental variation. Algal biomass in a habitat is a function of immigration, reproduction, death, emigration, and grazing rates. When modeled at a species levels, differential species performance affects species composition. Reproduction in particular is regulated by a suite of metabolic processes that respond directly to abiotic factors such as nutrients, light, temperature, pH, and salinity. Competition, grazing, and even some symbiotic relationships are important determinants of benthic algae. Habitat-scale factors such as riparian canopy, current velocity, and substrate size indirectly affect algal regulatory processes with their effects on light, nutrients, shear stress, and substrate stability. Ultimately, the regional factors, such as climate and geology, and to some extent, biogeography, affect stream chemistry, channel geomorphology, and hydrologic stability, and indirectly affect benthic algae. This latter factor, hydrologic stability, regulates disturbance frequency and intensity, which in turn determines whether algae will be regulated by top-down biological processes at the stable end of the scale, environmental stress at the unstable end of the scale, or resource availability in intermediate disturbance conditions. Spatial and temporal patterns in both benthic algae and phytoplankton of rivers can be predicted with this processed-based approach to understand organisms in highly variable environments like rivers." @default.
- W148977649 created "2016-06-24" @default.
- W148977649 creator A5079435274 @default.
- W148977649 date "2009-01-01" @default.
- W148977649 modified "2023-10-14" @default.
- W148977649 title "Algae of River Ecosystems" @default.
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- W148977649 doi "https://doi.org/10.1016/b978-012370626-3.00142-3" @default.
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