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Relationships Between Chlorophyll, Salinity, Phosphorus, and Nitrogen in Lakes and Marine Areas
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2010 (English)In: Journal of Coastal Research, ISSN 0749-0208, Vol. 26, no 3, 412-423 p.Article in journal (Refereed) Published
Abstract [en]

This work presents empirical data from several databases Empirical data ultimately form the basis for most ecological/environmental studies, and this work uses what may be the most comprehensive data set ever compiled concerning relationships between chlorophyll-a concentrations, nitrogen, phosphorus, and salinity, since the data in this study concerns about 500 lakes and coastal areas The focus has been on how variations between systems in median summer values of chlorophyll-a concentrations (Chl) depend on variations in total nitrogen, total phosphorus, and salinity The salinities range from 0 to 275 PSS78 in hypersaline systems, the median salinity is 12 5 The range in nutrients is from ultraoligotrophic (totalP, or TP, is less than 1 mu g/L) to hypertrophic systems (TP is greater than 1000 mu g/L) The chlorophyll values vary from 0 12 to 60 mu g/L Results showed that there is a minimum in the Chl/TP ratio in the salinity range between 2 and 5, followed by an increase up to a salinity range of 10-15, and then a continuous reduction in the Chl/TP ratio until a minimum value of about 0 012 is reached in hypersaline systems We have also identified a threshold value for the salinity In systems dominated by freshwater influences, the ratio of Chl to total nitrogen, or TN, increases steadily from about 0 008 in lakes to 0 02 when the salinity is 10 At higher salinities than 10, the Chl/TN ratio decreases in a nonlinear fashion We have also presented several empirical models to predict chlorophyll concentrations from levels of TP, TN, and salinity The model predicting Chl from TP and salinity is generally the best one The next best model according to the criteria (r(2) value, median error, and standard deviation for the error) is the model using TN and salinity Models not including salinity predict chlorophyll less well

Place, publisher, year, edition, pages
2010. Vol. 26, no 3, 412-423 p.
Keyword [en]
Chlorophyll, phosphorus, nitrogen, salinity, temperature, marine systems, lakes, empirical data, regressions
National Category
Earth and Related Environmental Sciences
URN: urn:nbn:se:uu:diva-136414DOI: 10.2112/08-1121.1ISI: 000277947000003OAI: oai:DiVA.org:uu-136414DiVA: diva2:376837
Available from: 2010-12-13 Created: 2010-12-13 Last updated: 2011-02-02Bibliographically approved

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