Dr Friedrich Recknagel
- Course coordinator of Integrated Catchment Management
- Course Coordinator of Ecosystem Modelling
- My lab 'Watershed Ecology and Ecoinformatics' focuses on following topics:
- Ecology and Phenology of Freshwater Phyto- and Zooplankton
- Process-based Lake and Watershed Modelling
- Eutrophication Management in Lakes and Watersheds
- Inductive reasoning and forecasting of Cyanobacteria Blooms
- Predictive Bioassessment of Aquatic Habitats
- Ecological Applications of Evolutionary Computation and Artiificial Neural Networks
- Ecological Modelling and Informatics
Google Scholar: Citations - 2661, h-index - 28, i10-index - 56
- Recknagel, F. and W. Michener (eds.), 2017. Ecological Informatics. 3rd Edition. Springer, New York (in preparation).
- Jorgensen, S.E., Chon, T.S. and F. Recknagel, 2009. Handbook of Ecological Modelling and Informatics. WIT Press, Southampton, UK
- Recknagel, F. (ed.), 2006. Ecological Informatics. Scope, Techniques and Applications. 2nd Edition. Springer, New York, 496 pp.
- Recknagel, F., 2003. Ecological
Informatics. Understanding Ecology by Biologically-Inspired Computation.
Springer-Verlag, Berlin, Heidelberg, New York, 1 – 402.
- Recknagel, F., 1989. Applied Systems ecology. Approach and case
Studies in Aquatic ecology. Akademie-Verlag, Berlin, 1-138.
Peer-reviewed Journal Articles:
- Nguyen, H.H., Recknagel, F., Meyer, W. and J. Frizenschaf, 2017. Analysing the effects of forest cover and irrigatioin farm dams on stream flows of water-scarce catchments in South Australia through the SWAT model. Water 9, 33, 1-16.
- Cao, H., Recknagel, F. and M. Bartkow, 2016. Spatially-explicit forcasting of cyanobacteria assemblages in freshwater lakes by multi-objective hybrid evolutionary algorithms. Ecological Modelling 342, 97-112.
- Recknagel, F., Adrian, R., Köhler, J. and H. Cao, 2016. Threshold quantification and short-term forecasting of Anabaena, Aphanizomenon and Microcystis in the polymictic eutrophic Lake Müggelsee (Germany) by inferential modelling using the hybrid evolutionary algorithm HEA. Hydrobiologia 778, 61-74.
- Shrestha, M.K., Recknagel, F., Frizenschaf, J. and W. Meyer, 2016. Assessing SWAT models based on single and multi-site calibration for the simulation of flow and nutrient loads in the semi-arid Onkaparinga Catchment in South Australia. Agricultural Water Management 175, 61-71.
- Chen, Q., Guan, T., Yun, L., Li, R. and F. Recknagel, 2015. Online forecasting chlorophyll a concentrations by an auto-regressive integrated moving average model: Feasibilities and potentials. Harmful Algae 43, 58–65.
- Zhang, X., Recknagel, F., Chen, Q., Cao, H. and R. Li, 2015. Spatially-explicit modelling and forecasting of cyanobacteria growth in Lake Taihu by evolutionary computation. Ecological Modelling 306, 216-225.
- Recknagel, F., Branco, C.W., Cao, H., Huszar, V.L. and I.F. Sousa-Filho, 2015. Modelling and forecasting the heterogeneous distribution of picocyanobacteria in the tropical Lajes Reservoir (Brazil) by evolutionary computation. Hydrobiologia 749, 53-67.
- Chen, Q., Zhang, C., Recknagel, F., Guo, J. and K. Blanckaert, 2014. Adapatation and multiple parameter optimisation of the simulation model SALMO as prerequisite for scenario analysis on a shallow eutrophic lake. Ecological Modelling 273, 109-116.
- Recknagel, F., Orr, P. and H. Cao, 2014. Inductive reasoning and forecasting of population dynamics of Cylindrospermopsis raciborski in three sub-tropical reservoirs by evolutionary computation. Harmful Algae 31, 26-34.
- Recknagel, F., 2013. Current scope, case studies and future directions of ecologcial informatics. Journal of Environmental Informatics 21, 1, 1-9.
- Recknagel, F., Ostrovsky, I., Cao, H., Zohary, T. and X. Zhang, 2013. Ecological relationships, thresholds and time lags determining phytoplankton community dynamics in Lake Kinneret, Israel elucidated by evolutionary computation and wavelets. Ecological Modelling 255, 70-86.
- Cao, H., Recknagel, F. and P. Orr, 2013. Enhanced functionality of the hybrid evolutionary algorithm HEA demonstrated by predictive modelling of algal growth in the Wivenhoe Reservoir, Queensland (Australia). Ecological Modelling 252, 32-43.
- Recknagel, F., 2011. Ecological informatics: A discipline in the making. Ecological Informatics 6, 1-3.
- Recknagel, F., 2008. Ecological Informatics: Overview. In: Jorgensen, S.E. and B.D. Faith (Editors), 2008. Encyclopedia of Ecology, Oxford, Elsevier, Vol. 2, pp. 1041-1058.
- Sierp, M., Qin, J.G. and F. Recknagel, 2008. Biomanipulation: a review of biological control measures in eutrophic waters and the potential for Murray cod Maccullochella peelii peelii to promote water quality in temperate Australia. Reviews in Fish Biology and Fisheries, 1-23.
Qua, S., Chen, Q. and F. Recknagel, 2008. Cellular automata based simulation of random versus selective harvesting strategies in predator–prey systems. Ecological Informatics 3, 252-258.
- Recknagel, F., van Ginkel, C., Cao, H., Cetin, L. and B. Zhang, 2008. Generic Limnological Models on the Touchstone: Testing the Lake Simulation Library SALMO-OO and the Rule-based Microcystis Agent for Warm-monomictic Hypertrophic Lakes in South Africa. Ecological Modelling 215, 144-158.
- Recknagel, F., Cetin, L.T. and Zhang B., 2008. Process-based Simulation Library SALMO-OO for Lake Ecosystems. Part 1: Object-oriented Implementation and Validation. Ecological Informatics 3,2,, 170-180.
- Cao, H., Recknagel, F, Cetin, L. and B. Zhang, 2008. Process-based Simulation Library SALMO-OO for Lake Ecosystems. Part 2: Multi-objective Parameter Optimisation by Evolutionary Algorithms. Ecological Informatics, 181-190.
- Recknagel, F., Cao, H., van Ginkel, C., van der Molen, D., Park, H. and N. Takamura, 2008. Adaptive agents for forecasting seasonal outbreaks of blue-green algal populations in lakes categorised by circulation type and trophic state. Verh. Internat. Verein. Limnol. 30, 2, 191-197.
- Welk, A., Recknagel, F., Cao, H., Chan, W.S. and A. Talib, 2008. Rule-based agents for forecasting algal population dynamics in freshwater lakes discovered by hybrid evolutionary algorithms. Ecological Informatics 3, 1, 46-54.
- van Ginkel, C., Cao, H., Recknagel, F. and S. du Plessis, 2007. Forecasting of dinoflagellate blooms in warm-monomictic hypertrophic reservoirs in South Africa by means of rule-based agents. Water SA 33, 531-538.
Chan, W. S., Recknagel, F., Cao, H. and H.D. Park, 2007. Elucidation and short-term forecasting of microcystin concentrations in Lake Suwa (Japan) by means of artificial neural networks and evolutionary algorithms. Water Research 41, 2247-2255
- Kim, D.-K., Cao, H., Jeong, K.-S., Recknagel, F. and G.-J. Joo, 2007. Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms. Ecological Modelling 203, 147-156.
- Wen, L. and F. Recknagel, 2006. Balancing phosphorus adsorption and consumption processes in experimental treatment ponds designed for agricultural drainage water. Ecological Engineering 28, 14-24
- Atanasova, N., Todorovski, L., Dzeroski, S., Rekar Remec, S., Recknagel, F. and B. Kompare, 2006. Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge. Ecological Modelling, 194, 1-3, 37-48
- Recknagel, F., Kim, B. and A. Welk, 2006. Unravelling ecosystem behaviour of lake Soyang (South Korea) in response to climate and management by means of artificial neural networks. Journal Internat. Verein. Limnol. 29, 3, 1497-1502
- Recknagel, F. , Talib, A. and D. van der Molen, 2006. Phytoplankton Community Dynamics of Two Adjacent Dutch Lakes in Response to Seasons and Eutrophication Control Unravelled by Non-Supervised Artificial Neural Networks. Ecological Informatics 1, 3, 277-286
- Cao, H., Recknagel, F., Joo, G.-J., D.-K. Kim, 2006. Rule set discovery for the prediction and explanation of chlorophyll -a dynamics in the Nakdong River (Korea) by means of a hybrid evolutionary algorithm. Ecological Informatics 1, 43-53
- Whigham, P., Dick, G. and F. Recknagel, 2006. Exploring seasonal patterns using process modelling and evolutionary computation. Ecological Modelling 159, 1-2, 146-152
- Recknagel, F, Kim, B., Takamura, N. and A. Welk, 2006. Unravelling and Forecasting Algal Population Dynamics in Two Lakes Different in Morphometry and Eutrophication by Neural and Evolutionary Computation. Ecological Informatics 1, 2, 133-151
- Recknagel, F., 2006. Ecological applications of adaptive agents. In: Recknagel, F. (ed.), 2006. Ecological Informatics. 2nd Edition. Springer, New York, 109-124
- Jeong, K.-S., Recknagel, F. and G.-J. Joo, 2006. Prediction and elucidation of population dynamics of the blue-green algae Microcystis aeruginosa and the diatom Stephanodiscus hantzschii in the Nakdong river-reservoir system (South Korea) by a recurrent artificial neural network.Recknagel, F. (ed.), 2006. Ecological Informatics. 2nd Edition. Springer, New York, 256-273
- Horrigan, N., Bobbin, J., Recknagel, F. and L. Metzling, 2005. Patterning, prediction and explanation of stream macroinvertebrate assemblages in Victoria (Australia) by means of artificial neural networks and genetic algorithms. In: Lek, S., Scardi, M., Verdonschot, P.F.M., Descy, J.-P. and Y.-S. Park (eds.), 2005. Modelling Community Structures in Freshwater Ecosystems. Springer-Verlag, Berlin, Heidelberg, New York, 252-260
- Horrigan, N., Choy, S., Marshall, J. and F. Recknagel, 2005. Assessing the effect of salinisation on stream macroinvertebrate communities in Queensland. Australian Freshwater and Marine Research 56, 1-9
- Special Visiting Researcher of the Science without Borders program of the Brazilian Government at the Universities of Rio de Janeiro and Brasilia from 2015 to 2017
- Guest Professor of the Chinese Academy of Sciences, Beijing, China
- Extraordinary Professor of the North-West University at Potchefstroom, South Africa (http://www.nwu.ac.za)
- Editor-in-Chief of the international journal Ecological Informatics (www.elsevier.com/locate/ecolinf) published by Elsevier B.V.
- Member of the Editorial Board of the international journal Ecological Modelling (www.elsevier.com/locate/ecolmod) published by Elsevier B.V.
- Recent invitations as keynote speaker at international conferences: - Int Conference on Ecological Informatics, 27th - 28th June 2013, Seoul, Korea; - 7th International Conference of the Int Society for Ecological Informatics, 4th - 7th Dec 2012, Brasilia, Brazil; - 4th International Ecosummit, 30th Sep - 5th Oct 2012, Columbus, Ohio; - 18th Conference of the Int Society for Ecological Modelling, 20 - 23 Sep 2011, Beijing, China; - 31st Congress of the Int Society of Limnology SIL 2010, 15 - 20 Aug 2010, Capetown, South Africa (http://sil2010.ufs.ac.za); - International Conference on Ecological Informatics and Ecosystem Conservation ISEIS 2010, 27 - 29 Aug 2010, Beijing, China (www.iseis.org/events/iseis2010/); - 2nd IWA Asian Pacific Young Professionals Conference, 4 - 6 Nov 2009, Beijing, China; - International Conference EnviroInfo 2009, 9 - 11 Sep 2009, Berlin, Germany; - 4th Symposium on Information Technologies in Environmental Engineering, 28 - 29 May 2009, Thessaloniki, Greece
- Member of the International Scientific Committee of the EcoSummit 2012, 30 September - 5 October 2012, Collumbus Ohio, USA (http://swamp.osu.edu/ecosummit2012)
- Member of Water Quality Research Australia (www.wqra.com.au)
- Member of the Environment Institute of the University of Adelaide (http://adelaide.edu.au/environment/)
Expertise for Media Contact
|Expertise||Algae - toxic; freshwater ecology; organic pollution and algal blooms; limnology of lakes; drinking water reservoirs and wetlands; blue-green algae; water quality; carp|
|Notes||Alt phone: (08) 8303 3999|
Entry last updated: Thursday, 9 Feb 2017
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