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Publications
Name
Position
Date of birth
Nationality
Knut Lehre Seip
Professor / Head Research and
development/ Senior Scientist
April 13, 1942
Norwegian
Additional information
Major fields of interest: Simulation of ecological systems, aquatic ecosystems, eutrophication,
oil pollution, decision analysis, non-parametric statistics, non-linear modelling, species
interactions, interactions among economic time-series.
SELECTED PUBLICATIONS
------------------------------------------------------------------------------------------------------------Physics
Seip, K.L., 1969: The size effect in the electrical conductivity of Aluminium. Thesis.
University of Oslo.
Seip, K.L., 1972: Calculation of forces on an oscillating mechanical system. (For start-up No.
1, No. 2 and Nuclear Services Stand by Transformer). SI report No. 72 04 11.
Seip K.L., 1973: The unfolding of double curved surfaces by a criterion based on elastic
deformation. SI- report No. 73 273 - 4.
Eriksen, Jan H. and K.L.Seip, 1974: Heat Transfer through a Metal/Oxide system.
Scandinavian Journal of Metallurgy, 3:105-109.
Seip, K.L., 1978: An assessment of whole-body vibration on passenger comfort by the use
of a Fast Fourier Transform. SI report No. 78 06 07. (In Norwegian).
-----------------------------------------------------------------------------------------------------------Fresh water ecology Mathematical models of lake ecosystems.
Lazoff, S., J. Neel. and K.L. Seip, 1976: Design, application and
analysis of a computer program implementing a phosphorus model of Lake Washington.
Thesis. University of Washington, Seattle.
Seip, K.L., 1981: A mathematical model of Lake Mjøsa ecosystem. A simulation study of
thermocline migration (Seiches) on river regulation in a mesotropic lake. In: Dubois, M.
(Editor) Progress in Ecological engineering and management by mathematical modelling.
Editon Cebedoc Sprl. Liege, Belgium, pp. 615-627.
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Seip. K.L., 1981: The impact of phosphorus load and water through-flow on phytoplankton standing crop in dimitic lake. Modelling, Identification and Control 23: 163-179.
Seip, K.L. and T. Satoh., 1984: The impact of nutrient load on total biomass and species
succession in lake Suwa, Japan. Verh. Internat. Verein. Limnol. 22: 1142-1149.
Seip, K.L., H. Sas and S. Vermij, 1991. The ecosystem of a mesotrophic lake-I. Simulating
plankton biomass and the timing of phytoplankton blooms. Aquatic Sciences 53: 239-262.
The importance of water movements for phytoplankton growth. Cla-a as a function of upper
layer depth (x- axis = epilimnion) and flow volume (y-axis) in Lake Mjøsa, Norway. Left:
Observed 1976-87, Right: Simulated 1976-87 (Inflowing water : 5 mgTPm-3). Also the timing
of peak water flow has influence on Chl-a.
Seip, K.L., H. Sas and S. Vermij 1991. The ecosystem of a mesothropic lake-II. Interactions
among nutrient load, river flow, and epilimnion depth. Aquatic Sciences 53: 263-272.
Seip, K.L. and H. Iberekk, 1988. Regression equations - how far do they go? Verh. Internat.
Verein Limnol. 23:778-785.
Seip, K.L. 1988. A rule based system to identify lake response to reductions in phosphorus
load. LIMNOS 2:11-13. (In Norwegian)
Seip, K.L. 1988. A rule based system to identify lake response to reduction in phosphorus
load. Part II. Blue-green algae. (Cyanobacteria) LIMNOS 3: 8-12. (In Norwegian)
Seip, K.L. 1989. Calculation of the phosphorus load to lakes. Lake Mjøsa as an example.
VANN 1:105-115. (In Norwegian)
Seip, K.L. 1989. Time as an explanatory variable for algeal biomass in Mjøsa. LIMNOS
1-2: 10- 16. (In Norwegian)
Ahlgren, I., K.L. Seip a.o. in H. Sas, (Ed.) 1989. Lake restoration by reduction of nutrient
loadings: Expectations, Experiences, Extrapolations. Academica Verlag, Richarz GmbH.
497.p.
Seip, K.L., H. Sas and S. Vermij 1990. The short term response to eutrophications
abatement. Aquatic Sciences 52:199-220.
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Seip, K.L. 1991. Phosphorus and nitrogen limitation of phytoplankton growth in
oligotrophic lakes. Can. J. Fish. Aquat. Sci. 48:2551-2552.
Seip, K.L., H. Sas and S. Vermij, 1992. Changes in Secchi disk depth with eutrophication.
Archiv für Hydrobiologie 124:149-165.
Seip, K.L. and C. Reynolds 1994. Phytoplankton functional attributes along trophic gradient
and season. Limnology and Oceanography, 40:589-597.
Seip, K.L., H. Sas and S. Vermij 1992. Nutrient-chlorophyll trajectories across trophic
gradients. Aquatic Sciences, 54:58-76.
Seip, K.L. and L.G. Snipen 1992. Interaction between phytoplankton and zooplankton in
lakes. Verh. Internat. Verein. Limnol., 25:474-477.
Seip, K.L. 1994. Phosphorus and nitrogen limitation of algal biomass across trophic
gradients. Aquatic Sciences 56/1:16-28
L. G. Snipen, R. Bjerknes, and K.L. Seip. 1994. A qualitative tool-chain model for fine
interactions among free nutrients, nutrient storage, and phytoplankton. Modelling,
Identification and Control.
Seip, K.L., M. Sneek, and L.-G. Snipen. 1994. How far do physical factors determine
phytoplankton biomass in lakes? Chemometrics and Intelligent Laboratory Systems 23:247258.
Seip, K.L. and H. Goldstein 1994. Different responses to changes in phosphorus P, among
lakes. A study of slopes in chl-a = f(P) graphs. Hydrobiologia 286:27-36.
Seip, K.L. 2000. Is trophic state or regional location the strongest determinant for chl-a /
nutrient relationships in lakes? Aquatic Sciences. 62:195-204.
------------------------------------------------------------------------------------------------------------Running water ecosystems Does species interaction play a role in lotic ecosystems?
Heiberg, Anders, Knut L. Seip. 1994. Water quality simulations in the river Moselle (France).
In Proceedings. Environmental Modelling Seminar Trondheim 17-19 August: 153-166.
Sintef Group. Trondheim
Grenouillet, G., Pont, D. and Seip, K. L. 2002. Abundance and species richness as a function
of food resources and vegetation structure: juvenile fish assemblages in rivers. - Ecography
25: 641-650.
Seip, Knut L. 2004. The Froude number stick, an evaluation. River Research and Application.
20: 99-102
Seip, K.L., Doledec, S. and Statzner, B. 2004. Competition, mutualism, predation and
engineering in benthic macroinvertebrate communities. Under preparation
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------------------------------------------------------------------------------------------------------------Toxicology Can plants be used to monitor toxicity in waters?
(Ascophyllum nodosum A.n. to the right)
Melhuus, A., K.L. Seip, H.M. Seip and S. Myklestad, 1977: A
preliminary study of the use of benthic algae as biological indicator of
heavy metal pollution in Sørfjorden, Norway. Environ. Pollut. 15: 101109.
Seip, K.L., 1979: A mathematical model for the uptake of heavy
metals in benthic algae. Ecol. Modelling 6: 183-197.
Seip, K.L. and S. Grimnes, 1983. Heavy metals in Kristiansandfjorden - introduction and
dataanalysis (clustering analysis). In proceedings from: Toxicology of aquatic systems, pp.
129 - 142. Norsk Limnologforening, Oslo. (In Norwegian).
-----------------------------------------------------------------------------------------------------------Rocky shore ecology The first models of rocky shore ecosystems
Seip, K.L., 1980: A computational model for the growth and harvesting of the marine algae
Ascophyllum Nodosum. Ecol. Modelling 8: 189-199.
A large portion of the distribution and abundance of benthic algae in the rocky shores can be
explained by abiotic factors. From left to right: Shore vegetation. Part of the rocky shore
ecosystem. Observed vertical stratification, and simulated after 1 and 15 years of growth.
(Algae from top to bottom in Norwegian: Blæretang, Grisetang (A.n.) Sagtang and
Fingertang) If the predators don’t start a “warfare”.
Seip, K.L., 1983: Mathematical models of the rocky shore ecosystem. In: Jørgensen, S.E. and
Mitsch, W.J. (Editors) Application of Ecological Modelling in Environmental Management.
Part B. Elsevier, Amsterdam. pp. 341-433.
Seip, K.L., G. Lunde, S. Melsom, E. Mehlum and A. Melhuus, 1979: A mathematical
model for the distribution and abundance of the benthic algae in a Norwegian fjord. Ecol.
Modelling 6: 133-166
Seip, K.l., 1980: A mathematical model of competition and colonization in a community
of marine benthic algae. Ecol. Modelling 10: 77-104.
Seip, K.L., 1980: A mathematical model of predation in the rocky shore community with
some implications for the recovery after oil pollution. ISEM-journal 2: 3-53.
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---------------------------------------------------------------------------------------------------------------Theoretical ecology Interactions, like predation and competition have fingerprints which can
be recognized in their time series .
Seip, K. L. and H. Goldstein (1994). "Different Responses to Changes in Phosphorus, P,
among Lakes - a Study of Slopes in Chl-a=F(P) Graphs." Hydrobiologia 286(1): 27-36.
Seip, K.L. 1997. Defining and measuring species interactions in aquatic ecosystems. Can. J.
Fish. Aquat. Sci. 54:1513-1519
Tømte, O. K.L. Seip and N. Christophersen. 1998. Evidence that loss in predictability (and
possibly dynamic chaos) increase with increasing trophic level in aquatic ecosystems. Oikos
82:325-332.
Seip, K.L. and H. Pleym. 1998. Competition and predation in a seasonal world. Verh.
Internat. Verein. Limnol. 27:823-827.
Sandvik, G. Knut L. Seip,Harald Pleym. 2002. An anatomy of interactions among species in
a seasonal world. Oikos 99: 261-272.
Sandvik, Gunnar, Knut L. Seip and Harald Pleym. 2003. Extracting signals of predation and
competition from from paired plankton time series. Arch. Hydrobiol.157, 4:456-471.
Sandvik, G. K.L. Seip. 2003. Studier av tidsserier kan avsløre forholdet mellom arter. Naturen
6:256-263.
Predator (t) and prey (t)
Sandvik, Gunnar Knut L. Seip, Harald Pleym. 2004. Niche difference versus competition
between phytoplankton in a seasonal environment, simulated and observed data. Submitted
a
Prey
Predator
0
5
10
15
20
25
30
Time
The most characteristic feature of prey predation interaction (left figure) is the counter-clock
wise rotation in phase space (prey on x-axis) and the predator crash (right figure). We are
now investigating what exactly happens when a population crashes. We do this by looking at
pairvise interactions over short time windows and plotting trajectories in Principal
Component Plots.
Sandvik, Gunnar, Knut L. Seip, Christine Jessup and Brendan Bohannan. 2004 . Using the
angle frequency method to detect signals of competition and predation in experimental time
series.. Ecological letters (accepted).
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Seip, K. L. and Gunnar Sandvik. 2004. Dancing lessons. Finding interaction type from paired
time series. 2nd international conference on mathematical ecology. Alcala de Hernares,
Madrid, Spain 5-9 september 2003. Page: Pos-Knu-a (1 page).
-------------------------------------------------------------------------------------------------------Oil pollution To be efficient oil spill combat requires extremely
fast response
Seip, K.L., 1984: The Amoco Cadiz Oil Spill - At a Glance. Mar.
Poll. Bull. 15: 218-220.
Seip. K.L. and K.A. Brekke- 1985: Models for calculating oil
spill damages to shores. Oil and Chemical Pollution. 3: 1-13.
Seip, K.L., E. Sandersen, F. Mehlum and I. Ryssdal 1990. Damages to seabirds from oil
spills: comparing simulation results and vulnerability indexes. Ecol. modelling. 53: 39-59
Seip, K.L., H.M. Seip, A. Heiberg, and K.A.Brekke, 1984: A computer assisted method for
determining oil pollution damage scenarioes in 8 regions of Norway. In: Proceeding of the
seventh annual arctic marine oil spill program. Technical seminar. Edmonton, Alberta,
June 12-14, pp. 402-422.
Seip, K.L. og A. Birkeland, 1988 Oil Combat Measures. SI report 87-12-08-02 60s. +33s.
encl. (In Norwegian)
Seip, K.L. 1988. Consequences of oil spills. Damages following oil spills on the coast of
Troms and Finnmark. AKUP- project 07-04. SI-report 87-12-08-01. 103s. + 16 s. encl. (In
Norwegian)
Seip K.L., 1988. Damage assessment of oil spills. An analysis of risks and damages from
oil activity on the North-West coast of Norway. Invited lecture at Conference on: Risk
analysis and damage assessment for oil and other hazardous substances. Oilchem
Recovery Denmark, København, 14 March 1988.
Seip, K.L., L. Duckstein and E. Høygaard, 1988. Selection of a "satisfactum" in oil
pollution combat strategy. Euro xx/TIMS xxviii Conference. Euro/TIMS. Paris 6-8 July
1988
Seip, K.L. 1991. Decisions with multiple environmental objectives. The siting of oil
drilling wells in Norway. In J. Ganoulis (Ed.) Water Resources Engineering Risk
Assessment. Springer Verlag. Heidelberg. pp. 503-524.
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----------------------------------------------------------------------------------------------------------------Run-off and erosion More complex models does not yield better predictions
Seip, K.L., and P. Botterweg, 1990. User's experiences and the predictive power of sediment
yield and surface runoff models. In DeCoursey (Ed.) Proceedings of the international
symposium on Water Quality Modelling of Agricultural Non-point Sources, Part 1. Utah State
University. p. 205- 226.
Seip, K.L., 1985. International runoff models - can they
be used in Norway? VANN 20: 19-27. (In Norwegian).
Seip, K.L., og K. Kalgraff, 1986. Models for runoff and
erosion from agricultural land. VANN 21: 146-152. (In
Norwegian)
For run-off models predictions does not increase with model complexity. System
understanding may.
----------------------------------------------------------------------------------------------------------------Decision analysis Some desirable alternatives are not worth it.
Seip, K.L., H. Ibrekk and F. Wenstøp, 1987.
Multiattribute analysis of the impact on society of
phosphorus abatement measures. Water Resources
Research. 23: 755-764
Seip, K.L., B. Thorstensen and H. Wang, 1991.
Environmental impacts of energy facilities: Fuel cell
technology compared to coal- and conventional gas
technology. Journal of Power Sources. 35:37-58
Seip, K.L., B. Thorstensen, and H. Wang, 1990. Environmental impacts of energy
facilities based on Fuel Cells. Invited plenary lecture at 1989 Fuel cell seminar, Arizona,
USA .
Seip, K.L. 1991. Decisions with multiple environmental objectives. The siting of oil drilling
wells in Norway. In J. Ganoulis (Ed.) Water Resources Engineering Risk Assessment.
Springer Verlag. Heidelberg. pp. 503-524.
Seip, K.L. 1993. Restoring water quality in the metal polluted Sørfjorden, Norway. Ocean
and Coastal Management 22:17-41.
Skei, J., Seip, K.L., Tveit, I., Strømnes, P., Skeie, O., Bøen, R. 1989. Indre Sørfjorden.
The influence of sediment leakages for metal pollution. Possibilities and required
abatement measures. SI-publ. 2527. (In Norwegian)
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Wenstøp, F., H. Ibrekk and K.L. Seip, 1986: Multicriteria decision making in water
quality management. In Carlsen, A, A. J. (Ed). Proceedings of the UNESCO/IHP-III
Symposium: Decision making in water resources planning. Oslo 5-7 May, 1986. Vol 2
pp. 437-447.
Hem, K. G. og K.L. Seip. 1990. Evaluation and ranking of pollution abatement measures.
VANN 1: 50-61. (In Norwegian)
Seip, K.L. and K.-G. Hem, 1993. Contingent evaluations of marine natural resources are
not consistent. Mar. Poll. Bull. 26:403-404.
Wenstøp, F. and K.L: Seip. 2000. Legitimacy and quality of multi-criteria environmental
policy analysis - MCE experiences in Norway. J. Multi -criteria analysis. 10:53-64..
Seip, K.L. an co-workers. 2002. Preferences for environmental issues accross five countries.
Under preparation.
Seip, K.L. and Fred Wenstøp. 2004. Quantitative environmental decision making. Book
manuscript. Accepted by Kluwer
----------------------------------------------------------------------------------------------------------------Life cycle analysis How serious is pollution?
Seip, K.L. H. Betele, and K. Johnsen. 2000. Siting of paper mills: is
a pristine environment an industrial resource? Env. Sci. and Technol
34: 546-551.
Seip, K.L., K. Johnsen, and H. Betele. 1996. Life Cycle Analysis of
paper products. SINTEF - report.
Thorsen, L.-E., K.L. Seip and K.A. Brekke. 1996. Waste Exchange
in Norway. SINTEF report.
----------------------------------------------------------------------------------------------------------------Pedagogics What is too little and too much of Problem Based
Learning?
Seip, K.L. 2003. Getting started: Pedagogical Troubleshooting (in
Norwegian). Klar til start- Pedagogisk feilsøkingsmanual. HiO rapport
nr 32. ISBN 82-579-4294-4.
Seip, K. L. (2002). Gjennomløpende prosjekt, en versjon av
mappeevaluering. Læring og informasjonsteknologi på
ingeniørutdanningen. F. E. Sandnes. Oslo, Høgskolen i Oslo. HiO
rapport 26: 131-138 (In Norwegian).
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Seip, K., Lehre (2004). Grenser for læring. En rammefaktorteori fra økologien. Digital
didaktikk. Pedagogisk utviklingsarbeid på ingeniørutdanningen. K. L. Seip. Oslo, Høgskolen i
Oslo. HiO-rapport 5: 159-169 (In Norwegian).
----------------------------------------------------------------------------------------------------------------Miscellaneous
Seip, K.L, 1977: Some methods for identifying
cultural units. The distribution pattern for the
agricultural tool "ar" in Southern Sweden. Norveg.
18:213-227. (in Norwegian).
Stöcker, M., Akporiaye, D., Andersen, A.G., Lillerud,
K.P., Seip, K.L. and Røneid, T. 1991. Preparation of
zeolites in space. Adv. Space Res. Vol. 11, No. 7,
357-362.
Malmierca M., K.L. Seip and K. Osen 1995.
From Forskningsnytt 1981. 1-2:48
Morphological classification and identification and
neurons in the inferior colliculos. Journal Comparative Neurologi 191: 343-350.
Seip, K.L. 2002. Do religions support modern environmental management? HiO report 28.
ISBN 82-579-4189-1; ISSN 1501-1039.
Christophersen, N. and K.L. Seip., 1981: Simulating process in Nature. Forskningsnytt 12: 42-48 (In Norwegian).
Seip, K.L., 1981: Ecological models. Forskningsnytt 1-2: 42-48. (In Norwegian).
Seip, K.L. 1985. Kurs- selvfølgeligheter i luksuspakke? Ledelse 6/7: 42-43
Seip, K.L. og B. Vigerust (Eds.) 1990. Environmetrics - the use of multivariate techniques
in environmental research. Proceedings. Water Pollution Research. Commission of the
European Communities, Brüssels. 209p
Seip, K.L. 1990. Ripples, swells and catastrophes in nature, coping with statistical
descriptions. In Seip K.L. and B. Vigerust (Eds.) Environmetrics - the use of multivariate
techniques in environmental research. EC. Brüssels. p. 6-26.
Seip, K.L. 1995: Multivariate statistics for aquatic eco-systems. Guest editorial. Aquatic
Sciences
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