Challenges and opportunities for integrating lake ecosystem modelling approaches


Тип публикации: статья из журнала

Год издания: 2010

Идентификатор DOI: 10.1007/s10452-010-9339-3

Ключевые слова: Aquatic, Food web dynamics, Plankton, Nutrients, Spatial, Lake, Freshwater, Marine, Community, Population, Hydrology, Eutrophication, Global change, Climate warming, Fisheries, Biodiversity, Management, Mitigation, Adaptive processes, Non-linear dynamics, Analysis, Bifurcation, Understanding, Prediction, Model limitations, Model integration, Adaptive processes, Analysis, Aquatic, Bifurcation, Biodiversity, Climate warming, Community, Eutrophication, Fisheries, Food web dynamics, Freshwater, Global change, Hydrology, Lake, Management, Marine, Mitigation, Model integration, Model limitations, Non-linear dynamics, Nutrients, Plankton, Population, Prediction, Spatial, Understanding, adaptive management, algorithm, aquatic community, biodiversity, ecosystem modeling, eutrophication, fishery production, food web, fuzzy mathematics, global warming, hydrology, lake ecosystem, mitigation, model test, numerical model, nutrient availability, plankton, prediction, saline lake, spatial analysis

Аннотация: A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge iПоказать полностьюs to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.

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Выпуск журнала: Vol. 44, Is. 3

Номера страниц: 633-667

ISSN журнала: 13862588

Место издания: DORDRECHT

Издатель: SPRINGER


  • Mooij Wolf M. (Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-3631 AC Nieuwersluis, Netherlands)
  • Trolle Dennis (Aarhus Univ, Natl Environm Res Inst, Dept Freshwater Ecol, DK-8600 Silkeborg, Denmark)
  • Jeppesen Erik (Aarhus Univ, Natl Environm Res Inst, Dept Freshwater Ecol, DK-8600 Silkeborg, Denmark; Greenland Inst Nat Resources, GCRC, Nuuk 3900, Greenland)
  • Arhonditsis George (Univ Toronto, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada)
  • Belolipetsky Pavel V. (Siberian Fed Univ, Inst Computat Modelling SB RAS, Krasnoyarsk 660036, Russia)
  • Chitamwebwa Deonatus B. R. (Tanzania Fisheries Res Inst TAFIRI, Mwanza Ctr, Mwanza, Tanzania)
  • Degermendzhy Andrey G. (Inst Biophys SB RAS, Krasnoyarsk 660036, Russia)
  • DeAngelis Donald L. (Univ Miami, Florida Integrated Sci Ctr, USGS, Coral Gables, FL 33124 USA)
  • De Senerpont Domis Lisette N. (Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-3631 AC Nieuwersluis, Netherlands)
  • Downing Andrea S. (Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-3631 AC Nieuwersluis, Netherlands)
  • Elliott J.Alex (Centre for Ecology and Hydrology, Lancaster Environment Centre, Lake Ecosystem Group, Algal Modelling Unit, Bailrigg, Lancaster LA1 4AP England, United Kingdom)
  • Fragoso Carlos Ruberto (Federal University of Alagoas, Centre for Technology, Campus A.C. Simões, 57072-970 Maceió-AL, Brazil)
  • Gaedke Ursula (Institute of Biochemistry and Biology, Department of Ecology and Ecosystem Modelling, University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany)
  • Genova Svetlana N. (Siberian Fed Univ, Inst Computat Modelling SB RAS, Krasnoyarsk 660036, Russia)
  • Gulati Ramesh D. (Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-3631 AC Nieuwersluis, Netherlands)
  • Hakanson Lars (Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, P.O. Box 7050, 75007 Uppsala, Sweden)
  • Hamilton David P. (University of Waikato, Centre for Biodiversity and Ecology Research, Private Bag 3105, Hamilton, New Zealand)
  • Hipsey Matthew R. (University of Western Australia, School of Earth and Environment, Crawley, WA 6009, Australia)
  • 't Hoen Jochem (Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, NL-3631 AC Nieuwersluis, Netherlands)
  • Huelsmann Stephan (Technische Universität Dresden, Institute of Hydrobiology, 01062 Dresden, Germany; Technische Universität Dresden, Neunzehnhain Ecological Station, Neunzehnhainer Str. 14, 09514 Lengefeld, Germany)
  • Los F. Hans (Deltares, P.O. Box 177, 2600 MH Delft, Netherlands)
  • Makler-Pick Vardit (Technion-Israel Institute of Technology, Faculty of Civil and Environmental Engineering, Technicon City, Haifa 32000, Israel)
  • Petzoldt Thomas (Technische Universität Dresden, Institute of Hydrobiology, 01062 Dresden, Germany)
  • Prokopkin Igor G. (Inst Biophys SB RAS, Krasnoyarsk 660036, Russia)
  • Rinke Karsten (Helmholtz Centre for Environmental Research, Department of Lake Research, Brueckstrasse 3a, 39114 Magdeburg, Germany)
  • Schep Sebastiaan A. (Witteveen and Bos, P.O. Box 233, 7400 AV Deventer, Netherlands)
  • Tominaga Koji (University of Oslo, Department of Biology, P.O. Box 1066, Blindern, 0316 Oslo, Norway)
  • Van Dam Anne A. (UNESCO-IHE Institute of Water Education, 2601 DA Delft, Netherlands)
  • Van Nes Egbert H. (Wageningen University, Department of Aquatic Ecology and Water Quality, P.O. Box 47, 6700 AA Wageningen, Netherlands)
  • Wells Scott A. (Portland State University, Department of Civil and Environmental Engineering, Portland, OR 97207, United States)
  • Janse Jan H. (Netherlands Environmental Assessment Agency (PBL), P.O. Box 303, 3720 AH Bilthoven, Netherlands)

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