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Predicting particulate pools of nitrogen, phosphorus and organic carbon in lakes
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Air and Water Science. (Miljöanalys)
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Evolution, Limnology. (Erkenlab)
2007 (English)In: Aquatic Sciences, ISSN 1015-1621, E-ISSN 1420-9055, Vol. 69, no 4, 484-494 p.Article in journal (Refereed) Published
Abstract [en]

The variation between lakes with respect to concentrations of particulate nutrient pools was studied in 126 Norwegian lakes covering a wide range in lake-specific properties. Particulate phosphorus (P) always constituted close to 60% of total P (TP) concentrations. Particulate nitrogen (N) and organic carbon (C) concentrations, on the other hand, were sensitive to several lake characteristics, particularly to TP concentrations. Through optimisation procedures and multivariate regression, the present study presents general empirical models for predicting particulate nutrient concentrations. Furthermore, significant trend shifts in the relationships between TP vs. particulate N and TP vs. particulate organic C were observed at TP = 6 mu g l(-1) and TP = 80 mu g l(-1), suggesting non-linearities in these relationships along the TP gradient. A trend shift in the TP vs. chlorophyll relationship was observed at TP = 90. Taking such non-linearities into account may decrease the uncertainty in predicting particulate N, particulate organic C and chlorophyll.

Place, publisher, year, edition, pages
2007. Vol. 69, no 4, 484-494 p.
Keyword [en]
particles, trend shifts, nutrients
National Category
Biological Sciences
URN: urn:nbn:se:uu:diva-96950DOI: 10.1007/s00027-007-0914-1ISI: 000251878800005OAI: oai:DiVA.org:uu-96950DiVA: diva2:171695
Available from: 2008-03-13 Created: 2008-03-13 Last updated: 2010-05-10Bibliographically approved
In thesis
1. Quantitative Understanding and Prediction of Lake Eutrophication
Open this publication in new window or tab >>Quantitative Understanding and Prediction of Lake Eutrophication
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Many lakes around the world have been exposed to increased nutrient input from anthropogenic sources such as sewage discharge and runoff from fertilised agricultural areas. This has led to eutrophication, manifested as intensified algal blooms, murky waters, oxygen depleted lake bottoms, and alterations of considerable parts of the foodweb. However, many of these lakes have also recovered, due to improved nutrient abatement techniques and to an improved quantitative scientific understanding of eutrophication and its causes. General, predictive models have played a crucial role in the latter development, as they have made it possible to quantitatively assess expected ecosystem changes from various planned actions against eutrophication.

The present thesis has been aimed at improving the domain of validity and predictive power of a general, dynamic total phosphorus (TP) model (LakeMab) and to provide the basis for constructing a similar model for total nitrogen (TN). Among the findings in the thesis is that dissolved nitrogen gas is probably always available in excess for nitrogen fixation and nitrogen modelling in eutrophication contexts. Two papers have laid the ground for improved nutrient modelling in calcareous lakes, where sedimentation is particularly pronounced. Static models for predicting concentrations of particulate phosphorus, nitrogen, and organic carbon have been presented that may be incorporated into sedimentation algorithms in dynamic nutrient models. Boundary conditions for various flux algorithms have made it possible to greatly expand the domain of LakeMab for TP. The typical uncertainty of TP concentration values is 17% when predicted with LakeMab, whereas the uncertainty in predictions using older, static models is about twice as high.

LakeMab may be very useful for resolving practical issues such as predicting climate-induced eutrophication and drawing up operational guidelines for achieving good water quality as prescribed by, e.g., the European Water Framework Directive.

Place, publisher, year, edition, pages
Uppsala: Universitetsbiblioteket, 2008. 38 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 415
National Category
urn:nbn:se:uu:diva-8593 (URN)978-91-554-7143-9 (ISBN)
Public defence
2008-04-18, Hambergssalen, Institutionen för geovetenskaper, Villavägen 16, Uppsala, 10:00 (English)
Available from: 2008-03-13 Created: 2008-03-13 Last updated: 2009-03-30Bibliographically approved

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