Detecting behaviours in ecological models |
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| Authors: | Fabio Boschetti |
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| Affiliation: | 1. Department of Chemical Engineering, Monash University, Melbourne, VIC 3800, Australia;2. Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-Si, Gyeonggi-do 17104, Republic of Korea;3. Biomass Waste-to-Wealth Special Interest Group, Research Centre for Sustainable Technologies, Faculty of Engineering, Computing, and Science, Swinburne University of Technology Sarawak, Jalan Simpang Tiga, 93350, Kuching, Sarawak, Malaysia |
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| Abstract: | Given an ecological model, I address the question of how to identify the different dynamical behaviours it can exhibit. This requires three steps: the discrimination of different behaviours, the detection of novel behaviours in the model space given current knowledge on model behaviour and the display of the results for visual inspection. I propose simple heuristic algorithms to carry out these steps in the case of models generating time series. I test the method on three models of increasing complexity, analysing both local and global structures in the time series and demonstrating the flexibility of the approach. |
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