2019
DOI: 10.1111/1752-1688.12797
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Benthic Algal (Periphyton) Growth Rates in Response to Nitrogen and Phosphorus: Parameter Estimation for Water Quality Models

Abstract: Nitrogen (N) and phosphorus (P) are significant pollutants that can stimulate nuisance blooms of algae. Water quality models (e.g., Water Quality Simulation Program, CE‐QUAL‐R1, CE‐QUAL‐ICM, QUAL2k) are valuable and widely used management tools for algal accrual due to excess nutrients in the presence of other limiting factors. These models utilize the Monod and Droop equations to associate algal growth rate with dissolved nutrient concentration and intracellular nutrient content. Having accurate parameter val… Show more

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Cited by 13 publications
(18 citation statements)
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References 54 publications
(78 reference statements)
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“…Dissolved N and P concentrations exceeded highest reported half‐saturation constants for increasing leaf litter breakdown rates in 94% of cases for DIN (0.052 mg/L), and 59% of cases for DIP (0.021 mg/L; Fig. 1d, e), and were above highest half‐saturation constants for algal growth (Schmidt et al 2019) for 85% of values for DIN (0.186 mg/L) and 87% of values for DIP (0.004 mg/L).…”
Section: Resultsmentioning
confidence: 83%
See 1 more Smart Citation
“…Dissolved N and P concentrations exceeded highest reported half‐saturation constants for increasing leaf litter breakdown rates in 94% of cases for DIN (0.052 mg/L), and 59% of cases for DIP (0.021 mg/L; Fig. 1d, e), and were above highest half‐saturation constants for algal growth (Schmidt et al 2019) for 85% of values for DIN (0.186 mg/L) and 87% of values for DIP (0.004 mg/L).…”
Section: Resultsmentioning
confidence: 83%
“…We compared observed TN and TP concentrations to the most conservative (i.e., highest) TN and TP thresholds for benthic algae, macroinvertebrates, and fish communities reported in Evans‐White et al (2013). We then compared observed DIN and DIP concentrations to reported half‐saturation constants from Michaelis‐Menten/Monod‐type models of algal growth (Schmidt et al 2019), and leaf litter breakdown rates (e.g., Kominoski et al 2015). The second part of our analysis was also exploratory and sought to visualize relationships among total, dissolved, and particulate N and P as a function of the proportion of watershed land use characterized as urban, agricultural, or forested.…”
Section: Methodsmentioning
confidence: 99%
“…The nutrient benchmarks derived here from the NDS and field survey data are considerably higher than benchmarks derived from some artificial stream studies [69][70][71]. For instance, Schmidt et al [70] showed P saturation occurred between about 12 and 29 μg/L P when N was not limiting and N saturation occurred between 150 to 2,450 μg/L when P was not limiting [70]. Phosphorus concentrations which saturate cellular level growth kinetics are very low, at less than 1 μg/L of soluble reactive P, yet in nature, much higher P levels are usually required to cause more dense accumulations of periphyton [69].…”
Section: Plos Onementioning
confidence: 58%
“…These changing saturation processes and >20 fold differences in P saturation concentrations caution that saturation thresholds derived from fresh benthic colonization laboratory assays may not be directly applicable to natural, established algal communities that develop throughout the growing season. For example, Schmidt et al [70] designed their tests (short-term with strong current to overcome any diffusion gradients) to produce maximum growth to define rate constants in numerical models, where in application limiting factors such as layer diffusion, sloughing, and light limitation would be adjusted by other mathematical functions.…”
Section: Plos Onementioning
confidence: 99%
“…In addition, aquatic species like Plecoglossus altivelis altivelis eat but cannot digest them [18]. On the other hand, non-filamentous algae, such as diatoms serving as staple foods of the fish, are more tolerant against turbulence but possibly have smaller intrinsic growth rates (Schmidt et al [16] for periphyton and Morin et al [12] for diatoms.). They are competing on the riverbed, and tracking and predicting their population dynamics are important industrial problem; however, least attention has been made on modelling and analysis of the population dynamics except for the engineering model [17].…”
Section: Introductionmentioning
confidence: 99%