Alla människor runtomkring mig har mer eller mindre bidragit till min forskning. Nedan är några personer som bör ha ett speciellt erkännande.
Andreas Bryhn, jag är dig evigt tacksam. Tack för att du redan från början trodde på och gav mig chansen att doktorera. Din tro på min förmåga har alltid fått mig att fortsätta framåt. Varje gång jag diskuterat en ny forsknings-idé med dig så har du uppmuntrande avslutat med orden ”Gör det, kör på!”.
Roger Herbert, tack för att du ställde upp som huvudhandledare efter att Andreas Bryhn startat sin anställning på SLU. Du har fungerat som ett kon-struktivt bollplank och hjälp för att min forskning ska utvecklas. Jag är mycket tacksam över alla middagar jag fått dela med din trevliga familj.
Gesa Weyhenmeyer, tack för att du tog rollen som biträdande handledare efter Lars Håkansons pension. Ditt brinnande intresse och glädje för att göra undervisning så bra som möjligt är en sann inspiration för mig.
Lars Håkanson, det är på grund av dig som jag fann intresset för akvatiska modeller. Det är tack vare dig som jag fann intresset för att doktorera och det är din forskning som varit en ovärderlig inspiration för min.
Kevin Bishop, tack för all glädje du sprider med ditt skinande humör. Möj-ligheterna verkar komma från en aldrig sinande oas.
Julia Hytteborn, tack för att du alltid visat intresse och vilja att diskutera mina forskningsidéer. Din handledning på mitt examensarbete var en ovär-derlig introduktion till hur forskning ska gå till.
Agnes Soto och Diana Fuentes, mina rumskollegor som alltid gjort dagen värd att börja.
Alla andra på institutionen för geovetenskaper.
Mina föräldrar, Kenth och Yvonne, för att uppmuntrat och gett en inblick i forskningens värld. Jag är övertygad om att er egen forskning har bidragit till och format min.
Slutligen vill jag tacka min sambo Charlotte och min son Tage. Charlotte, för att du alltid lyssnat på framgångar som motgångar, för att du står vid min sida oavsett vad. Tage, min alldeles egna slumpgenerator. Ditt skratt, ditt leende, dina buttra miner, din envishet och ditt liv summeras perfektion.
Tack för att du är den som gör allting värt att leva för.
References
Arvanitoyannis, I.S., Kassaveti, A., 2008. Fish industry waste: treatments, environ-mental impacts, current and potential uses. International Journal of Food Sci-ence and Technology, 43: 726-746.
Aldenberg, T., Janse, J.H., Kramer, P.R.G., 1995. Fitting the dynamic model PCLake to a multi-lake survey through Bayesian Statistics. Ecological Model-ling, 78: 83-99.
Bachmann, R.W., Hoyer, M.V., Canfield, D.E., 2003. Predicting the frequencies of high chlorophyll levels in Florida lakes from average chlorophyll or nutrient da-ta. Lake and Reservoir Management, 19: 229-241.
Beniston, M., 2006. Mountain weather and climate: A general overview and a focus on climatic change in the Alps. Hydrobiologia, 562: 3-16.
Beven, K., Freer, J., 2001. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. Journal of Hydrology, 249: 11-29.
Bishop, J.K.B., Rossow, W.B., 1991. Spatial and temporal variability of global sur-face solar irradiance. Journal of Geophysical Research, 96: 16839-16858.
Booth, D.B., Jackson C.R., 1997. Urbanization of aquatic systems: Degradation thresholds, stormwater detection, and the limits of mitigation. Journal of the American Water Resources Association, 3: 1077-1090
Box, G.E.P., Cox, D.R., 1964. An analysis of transformations. Journal of the Royal Statistical Society, 26: 211-252.
Brown, C.D., Canfield, D.E., Bachmann, R.W., Hoyer, M.V., 1998. Seasonal pat-terns of chlorophyll, nutrient concentrations and Secchi disk transparency in Florida lakes. Lake and Reservoir Management, 14: 60-76.
Brown, C.D., Hoyer, M.V., Bachmann, R.W., Canfield, D.E., 2000. Nutrient-chlorophyll relationships: an avaluation of empirical nutrient-Nutrient-chlorophyll mod-els using Florida and north-temperate lake data. Canadian Journal of Fisheries and Aquatic Sciences, 57: 1574-1583.
Bryhn, A.C., Håkanson, L., 2007. A Comparison of Predictive Phosphorus Load-Concentration Models for Lakes. Ecosystems, 10: 1084-1099.
Bryhn, A.C., 2008. Quantitative Understanding and Prediction of Lake Eutrophica-tion. Uppsala University, Digital Comprehensive Summaries of Uppsala Disser-tations From the Faculty of Science and Technology, vol. 415, 48 p. ISBN 978-91-554-7143-9.
Carlson, R.E., 1977. A trophic state index for lakes. Limnology and oceanography, 22: 361-369.
Carvalho, L., Solimini, A., Phillips, G., van den Berg, M., Pietiläinen, O-P., Lyche Solheim, A., Poikane, S., Mischke, U., 2008. Chlorophyll reference conditions for European lake types used for intercalibration of ecological status. Aquatic
Carvalho, L., Poikane, S., Lyche Solheim, A., Phillips, G., Borics, G., Catalan, J., Hoyos, C., Drakare, S., Dudley, B.J., Järvinen, M., Laplace-Treyture, C., Maileht, K., McDonald, C., Mischke, U., Moe, J., Morabito, G., Nõges, T., Ott, I., Pasztaleniec, A., Skjelbred, B., Thackeray, S.J., 2013. Strength and uncertain-ty of phytoplankton metrics for assessing eutrophication impacts in lakes. Hy-drobiologia, 704: 127-140.
Chau, K.W., 2005. An unsteady three-dimensional eutrophication model in Tolo harbour, Hong Kong. Marine Pollution Bulletin, 51: 1078-1084.
Ching, W.K., NG, M., 2006. Markov Chains – Models, algorithms and applications.
Springer, New York, 205 p.
Conley, D.J., Paerl, H.W., Howarth, R.W., Boesh D.F., Seitzinger, S.P., Havens, K.E., Lancelot, C., Likens G.E., 2009. Controlling Eutrophication: Nitrogen and Phosphorus. Science, 323: 1014-1015.
Corvalan, C., Hales, S., McMichael, A., 2005. Ecosystems and Human Well-being:
A Report of the Millennium Ecosystem Assessment. World Health Organization (WHO), 64 p.
Costanza, R., Sklar, F.H., 1985. Articulation, accuracy and effectiveness of mathe-matical models: A review of freshwater wetland applications. Ecological model-ling, 27: 45-68.
Costanza, R., d’Arge R., Groot, R.de., Farber, S., Grasso, M,. Hannon, B., Limburg, K., Naeem, S., O’Neill, R.V., Paruelo, J., Raskin, R.G., Sutton, P., van den Belt, M., 1997. The value of the world’s ecosystem services and natural capital. Na-ture, 387: 253-260.
Costanza, R., 1999. The ecological, economic, and social importance of the oceans.
Ecological Economics, 31: 199-213.
Dillon, P.J., Rigler, F.H., 1974. The phosphorus-chlorophyll relationship in lakes.
Limnology and Oceanography, 19: 767:773
Djodjic, F., Mattsson, L., 2013. Changes in plant-available and easily soluble phos-phorus within 1 year after P amendment. Soil Use and Management, 29: 45-54.
Dimberg, P.H., 2014. Defining a new parameter for regression models with aggre-gated data in aquatic science. Environmetrics, 25: 97-106.
Doering, P.H., Chamberlain R.H., Haunert, K.M., 2006. Chlorophylla a and its use as an indicator of eutrophication in the Caloosahatchee estuary, Florida. Florida Scientist, 69: 51-72.
Downing, J.A., Prairie, Y.T., Cole, J.J., Duarte, C.M., Tranvik, L.J., Striegl, R.G., McDowell, W.H., Kortelainen, P., Caraco, N.F., Melack, J.M., Middelburg, J.J., 2006. The global abundance and size distribution of lakes, ponds, and im-poundments. Limnology and Oceanography, 51: 2388-2397.
Driscoll, C.T., Lawrence, G.B., Bulger, A.J., Butler, T.J., Cronan, C.S., Eagar, C., Lambert, K.F., Likens, G.E., Stoddard, J.L., Weathers, K.C., 2001. Acidic Dep-osition in the Northeastern United States: Sources and Inputs, Ecosystem Ef-fects, and Management Strategies. BioScience, 51: 180-198.
Fulton, E., Smith, A.D.M., Johnson, C.R., 2003. Effect of complexity on marine ecosystem models. Marine Ecology Progress Series, 253: 1-16.
Gagliardi, B., Pettigrove, V., 2013. Removal of intensive agriculture from the land-scape improves aquatic ecosystem health. Agriculture, Ecosystems and Envi-ronment, 176: 1-8.
Gregor, L., Mars̆álek, B., 2004. Freshwater phytoplankton quantification by chloro-phyll a: a comparative study of in vitro, in vivo and in situ methods. Water Re-search, 38: 517-522.
Håkanson, L., Jansson, M., 1983. Lake Sedimentology. Springer-Verlag.
Håkanson, L., 1995. Optimal size of predictive models. Ecological Modelling, 78:
195-204.
Håkanson, L., Peters R.H., 1995. Predictive limnology – methods for predictive modelling. Amsterdam: SPB Academic Publishing, 464 p.
Håkanson, L., 1999. On the principles and factors determining the predictive success of ecosystem models, with a focus on lake eutrophication models. Ecological Modelling, 121: 139-160.
Håkanson, L., 2000. The derivation and use of a dynamic model for mercury in lake fish based on a static (regression) model. Water, Air and Soil Pollution, 124:
301-317.
Håkanson, L., 2007. A Data Reduction Exercise to Detect Threshold Samples for Regression Models to Predict Key Water Variables. International Review of Hydrobiology, 92: 84-97.
Håkanson, L., Eklund, J., 2007. A dynamic mass balance model for phosphorus fluxes and concentrations in coastal areas. Ecol Res, 22: 296-320.
Håkanson, L., Bryhn, A.C., 2008. A Dynamic Mass-balance Model for Phosphorus in Lakes with a Focus on Criteria for Applicability and Boundary Conditions.
Water, Air, and Soil Pollution, 187: 119-147.
Havens, K.E., Nürnberg, G.K., 2004. The phosphorus-chlorophyll relationship in lakes: potential influences of color and mixing regime. Lake and Reservoir Management, 20: 188-196.
Hupfer, M., Lewandowski, J., 2008. Oxygen Controls the Phosphorus Release from Lake Aediments – a Long-Lasting Paradigm in Limnology. International Re-view of Hydrobiology, 93: 415-432.
Hutchinson, G.E., Löffler, H., 1956. The thermal classification of lakes. Proceedings of the National Academy of Sciences of the United States of America, 42: 84-86.
Jackson, J.B.C., Kirby, M.X., Berger, W.H., Bjorndal, K.A., Botsford, L.W., Bour-que, B.J., Bradbury, R.H., Cooke, R., Erlandson, J., Estes, J.A., Hughes, T.P., Kidwell, S., Lange, C.B., Lenihan, H.S., Pandolfi, J.M., Peterson, C.H., Ste-neck, R.S., Tegner, M.J., Warner, R.R,. 2001. Historical Overfishing and the Recent Collapse of Coastal Ecosystems. Science, 293: 629-637.
Jensen, H.S., Reitzel, K., Egemose, S., 2015. Evaluation of aluminium treatment efficiency on water quality and internal phosphorus cycling in six Danish lakes.
Hydrobiologia, 751: 189-199.
Johansson, H., Lindström, M., Håkanson, L., 2001. On the modelling of the particu-late and dissolved fractions of substances in aquatic ecosystems - sedimentolog-ical and ecologsedimentolog-ical interactions. Ecologsedimentolog-ical Modelling, 137: 225-240.
Jones, J.R., Knowlton, M.F., Kaiser, M.S., 1998. Effects on aggregation on chloro-phyll-phosphorus relations in Missouri reservoirs. Journal of Lake and Reser-voir Management, 14: 1-9.
Kasprzak, P., Padisák, J., Koschel, R., Krienitz, L., Gervais, F., 2008. Chlorophyll a concentration across a trophic gradient of lakes: An estimator of phytoplankton biomass? Limnologica, 38: 327-338.
Kramer, J., Tessier, A., 1982. Acidification of aquatic systems: A critique of chemi-cal approaches. Environmental Science & Technology, 16: 606-615.
Koza, J., 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selecion. MIT Press, Cambridge, MA, 840 p.
Lilliesköld Sjöö, G., Mörk, E., Kumblad L., Rydin, E., 2011. Phosphoric precipitate
Livingstone, D.M., Lotter, A.F., Walker, I.R., 1999. The decrease in summer surface water temperature with altitude in Swiss alpine lakes: A comparison with air temperature in Lapse Rates. Arctic, Antarctic, and Alpine Research, 31: 341-351.
Lyche-Solheim, A., Feld, C.K., Birk, S., Phillips, G., Carvalho, L., Morabito, G., Mischke, U., Willby, N., Søndergaard, M., Hellsten, S., Kolada, A., Mjelde, M., Böhmer, J., Miler, O., Pusch, M.T., Argillier, C., Jeppesen, E., Lauridsen, T.L., Poikane, S., 2013. Ecological status assessment of European lakes: a compari-son of metrics for phytoplankton, macrophytes, benthic invertebrates and fish.
Hydrobiologia, 704: 57-74.
Malmaeus, J.M., Eklund, J.M., Karlsson, O.M., Lindgren, D., 2008. The optimal size of dynamic phosphorus models for Baltic coastal areas. Ecological Model-ling, 216: 303-315.
Marino, R., Howarth, R.W., 1993. Atmospheric oxygen exchange in the Hudson river: Dome measurements and comparison with other natural waters. Estuaries, 16: 433-445.
Marshall, C.T, Peters, R.H., 1989. General patterns in the seasonal development of chlorophyll a for temperate lakes. Limnology and Oceanography, 34: 856-867.
Murray, A.G., 2001. The use of simple models in the design and calibration of a dynamic 2D model of a semi-enclosed Australian bay. Ecological Modelling, 136: 15-30.
Muttil, N., Lee, J.H.W., 2005. Genetic programming for analysis and real-time pre-diction of coastal algal blooms. Ecological Modelling, 189: 363-376.
Muttil, N., Chau, K-W., 2006. Neural network and genetic programming for model-ling coastal algal blooms. International Journal of Environment and Pollution, 28: 223-238.
Nielsen, S.N., 1992. Strategies for structural-dynamic modelling. Ecological Model-ling, 63: 91-101.
Nielsen, S.N., 1994. Modelling structural dynamical changes in a Danish shallow lake. Ecological Modelling, 73: 13-30.
Nürnberg, G.K., 1996. Trophic state of clear and colored, soft- and hardwater lakes with special consideration of nutrients, anoxia, phytoplankton and fish. Lake and Reservoir Management, 12: 432-447.
Oltean, M., Grosan, C., 2003. A comparison of several linear genetic programming techniques. Complex Systems, 14: 285-313.
Park, S.S., Jaffé, P.R., 1996. Development of a sediment redox potential model for the assessment of postdepositional metal mobility. Ecological Modelling, 91:
169-181.
Peters, R.H., 1991. A critique for ecology. Cambridge University press.
Phillips, G., Pietiläinen O.P., Carvalho, L., Solimini, A., Lyche Solheim, A., Cardo-so, A.C., 2008. Chlorophyll-nutrient relationships of different lake types using a large European dataset. Aquatic Ecology, 42: 213-226.
Phillips, G., Lyche-Solheim, A., Skjelbred, B., Mischke, U., Drakare, S., Free, G., Järvinen, M., Hoyos, C., Morabito, G., Poikane, S., Carvalho, L., 2013. A phy-toplankton trophic index to assess the status of lakes for the Water Framework Directive. Hydrobiologia, 704: 75-95.
Poikane, S., Alves, M.H., Argillier, C., van den Berg, M., Buzzi, F., Hoehn, E., de Hoyos, C., Karottki, I., Laplace-Treyture, C., Lyche Solheim, A., Ortiz-Casas, J., Ott, I., Phillips, G., Pilke, A., Pádua, J., Remec-Rekar, S., Riedmüller, U., Schaumburg, J., Serrano, M.L., Soszka, H., Tierney, D., Urbanic, G., Wolfram, G., 2010. Defining chlorophyll-a reference conditions in European lakes. Envi-ronmental Management, 45: 1286-1298.
Prairie, Y.T., Duarte, C.M., Kalff, J., 1989. Unifying Nutrient-Chlorohpyll Relation-ships in Lakes. Canadian Journal of Fisheries and Aquatic Sciences, 46: 1176-1182.
Prairie, Y.T., 1996. Evaluating the predictive power of regression models. Canadian Journal of Fisheries and Aquatic Sciences, 53: 490-492.
Rahel, F.J., Olden, J.D., 2008. Assessing the Effects of Climate Change on Aquatic Invasive Species. Conservation Biology, 22: 521-533.
Rapport, D.J., Costanza R., McMichael A.J., 1998. Assessing ecosystem health, Trends in Ecology & Evolution, 13: 397-402.
Sakamato, M., 1966. Primary production by phytoplankton community in some Japanese lakes and its dependence on lake depth. Archiv für Hydrobiologie, 62:
1-28.
Savchuk, O.P., 2006. Simple As Necessary Long-Term large-Scale simulation mod-el of the nitrogen and phosphorus biogeochemical cycles in the Baltic Sea.
Stockholm University, Department of Systems Ecology, Technical report, ver-sion 3.
SLU, 2014. University of Swedish agricultural sciences. http://www.slu.se/en/. SOER, 2015. European briefings – Freshwater quality. European Environment
Agency.
Søndergaard, M., Larsen, S.E., Jørgensen, T.B., Jeppesen, E., 2011. Using chloro-phyll a and cyanobacteria in the ecological classification of lakes. Ecological Indicators, 11: 1403-1412.
Ulén, B.M., Weyhenmeyer, G.A., 2007. Adapting regional eutrophication targets for surface waters – influence of the EU Water Framework Directive, national poli-cy and climate change. Environmental Science & Polipoli-cy, 10: 734-742.
Värnhed, B., 2005. Restoration in Lake Flaten (In Swedish). Stockholm Vatten, Sweden MV-03381.
Vollenweider, R.A., 1968. Scientific Fundamentals of the Eutrophication of Lakes in Flowing Waters, with Particular Reference to Phosphorus and Nitrogen as Factors in Eutrophication. OECD Technical Report, DAS/CSI/68.27, 159p.
Walker, W.W., Havens, K.E., 1995. Relating algal bloom frequencies to phosphorus concentrations in Lake Okeechobee. Lake and Reservoir Management, 11: 77-83.
Wang, Q., Kim, D., Dionysiou, D.D., Sorial G.A., Timberlake, D., 2004. Sources and remediation for mercury contamination in aquatic systems – a literature re-view. Environmental Pollution, 131: 323-336.
Wetzel, R.G., 2001. Limnology. 3rd ed. Academic Press, San Diego. 1006p.
Wu, Z., Huang, N.E., Long, S.R., Peng, C-K., 2007. On the trend, detrending, and variability of nonlinear and nonstationary time series. Proceedings of the Na-tional Academy of Sciences of the United States of America, 104: 14889-14894.
Yin, G., Zhang, Q., 2005. Discrete-time Markov Chains – Two-time-scale methods and applications. Springer, New York, 347 p.
Yue, S., Pilon, P., Cavadias, G., 2002. Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of Hy-drology, 259: 254-271.
Acta Universitatis Upsaliensis
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1300
Editor: The Dean of the Faculty of Science and Technology
A doctoral dissertation from the Faculty of Science and Technology, Uppsala University, is usually a summary of a number of papers. A few copies of the complete dissertation are kept at major Swedish research libraries, while the summary alone is distributed internationally through the series Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology.
(Prior to January, 2005, the series was published under the title “Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology”.)
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