Challenges and opportunities for integrating lake ecosystem modelling approaches
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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 is to avoid focusing on only one type ofmodel, 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 specificmodels.Wedeal with staticmodels (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: superindividualmodels (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, IPHTRIM3D-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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MOOIJ, Wolf M., Dennis TROLLE, Erik JEPPESEN, George ARHONDITSIS, Pavel V. BELOLIPETSKY, Deonatus B. R. CHITAMWEBWA, Andrey G. DEGERMENDZHY, Donald L. DEANGELIS, Lisette N. DE SENERPONT DOMIS, Andrea S. DOWNING, J. Alex ELLIOTT, Ursula GAEDKE, Svetlana N. GENOVA, Ramesh D. GULATI, Lars HÅKANSON, David P. HAMILTON, Matthew R. HIPSEY, Jochem 'T HOEN, Stephan HÜLSMANN, F. Hans LOS, Vardit MAKLER-PICK, Thomas PETZOLDT, Igor G. PROKOPKIN, Karsten RINKE, Sebastiaan A. SCHEP, Koji TOMINAGA, Anne A. VAN DAM, Egbert H. VAN NES, Scott A. WELLS, Jan H. JANSE, Carlos Ruberto FRAGOSO, 2010. Challenges and opportunities for integrating lake ecosystem modelling approaches. In: Aquatic Ecology. 2010, 44(3), pp. 633-667. ISSN 1386-2588. eISSN 1573-5125. Available under: doi: 10.1007/s10452-010-9339-3BibTex
@article{Mooij2010Chall-12920, year={2010}, doi={10.1007/s10452-010-9339-3}, title={Challenges and opportunities for integrating lake ecosystem modelling approaches}, number={3}, volume={44}, issn={1386-2588}, journal={Aquatic Ecology}, pages={633--667}, author={Mooij, Wolf M. and Trolle, Dennis and Jeppesen, Erik and Arhonditsis, George and Belolipetsky, Pavel V. and Chitamwebwa, Deonatus B. R. and Degermendzhy, Andrey G. and DeAngelis, Donald L. and De Senerpont Domis, Lisette N. and Downing, Andrea S. and Elliott, J. Alex and Gaedke, Ursula and Genova, Svetlana N. and Gulati, Ramesh D. and Håkanson, Lars and Hamilton, David P. and Hipsey, Matthew R. and 't Hoen, Jochem and Hülsmann, Stephan and Los, F. Hans and Makler-Pick, Vardit and Petzoldt, Thomas and Prokopkin, Igor G. and Rinke, Karsten and Schep, Sebastiaan A. and Tominaga, Koji and Van Dam, Anne A. and Van Nes, Egbert H. and Wells, Scott A. and Janse, Jan H. and Fragoso, Carlos Ruberto} }
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