Integrating Seasonal Information on Nutrients and Benthic Algal Biomass into Stream Water Quality Monitoring
Autor: | Christopher P. Konrad, Mark D. Munn |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
Hydrology Biomass (ecology) Chlorophyll a 010504 meteorology & atmospheric sciences Ecology biology 010604 marine biology & hydrobiology Sampling (statistics) STREAMS biology.organism_classification 01 natural sciences chemistry.chemical_compound Nutrient Algae chemistry Benthic zone Environmental science Water quality 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology |
Zdroj: | JAWRA Journal of the American Water Resources Association. 52:1223-1237 |
ISSN: | 1752-1688 1093-474X |
Popis: | Benthic chlorophyll a (BChl a) and environmental factors that influence algal biomass were measured monthly from February through October in 22 streams from three agricultural regions of the United States. At-site maximum BChl a ranged from 14 to 406 mg/m2 and generally varied with dissolved inorganic nitrogen (DIN): 8 out of 9 sites with at-site median DIN >0.5 mg/L had maximum BChl a >100 mg/m2. BChl a accrued and persisted at levels within 50% of at-site maximum for only one to three months. No dominant seasonal pattern for algal biomass accrual was observed in any region. A linear model with DIN, water surface gradient, and velocity accounted for most of the cross-site variation in maximum chlorophyll a (adjusted R2 = 0.7), but was no better than a single value of DIN = 0.5 mg/L for distinguishing between low and high-biomass sites. Studies of nutrient enrichment require multiple samples to estimate algal biomass with sufficient precision given the magnitude of temporal variability of algal biomass. An effective strategy for regional stream assessment of nutrient enrichment could be based on a relation between maximum BChl a and DIN based on repeat sampling at sites selected to represent a gradient in nutrients and application of the relation to a larger number of sites with synoptic nutrient information. |
Databáze: | OpenAIRE |
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