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Configuration and Evaluation of Models for Ecological Systems the Case of Distribution of Koala

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Proceedings of Second International Conference on Intelligent System (ICIS 2023)

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Due to environmental issues, species distribution modeling (SDM) has been applied in environment protection strategy decisions. Configurations and evaluation models are considerable challenges in SDM. There has been limited literature discussing the configuration of parameters in detail for ecological models. With the increased use of SDM, there is a need for more research on parameter configurations and evaluation methods in these systems. It is difficult to simulate a “best” model if the parameter configurations of models are not taken into consideration. This study aims to analyze the configuration influences on the Koala distribution model. The Koala distribution is a case study in this paper; several algorithms, namely Artificial Neural Networks (ANNs), Multivariate Adaptive Regression Splines (MARS), and Maxent, are used for Koala distribution modeling. Four evaluation methods, namely TSS, PPV, Kappa, and AUC, are used in this research study. This study analyzes the results between configuration setting and evaluation methods and discusses the selected evaluation methods’ performance, to discover their effect and results to improve modeling of the Koala distribution. Findings demonstrate that the parameter setting and evaluation methods of SDM are essential.

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  1. Woodward, F.I., Woodward, F.I.: Climate and Plant Distribution. Cambridge University Press (1987)

    Google Scholar 

  2. Odum, E. P.: Fundamentals of Ecology, 3rd edn. Saunders, Philadelphia (1971)

    Google Scholar 

  3. Iturbide, M., Bedia, J., Gutiérrez, J.M.: Background sampling and transferability of species distribution model ensembles under climate change. Global Planet. Change 166, 19–29 (2018)

    Article  Google Scholar 

  4. Santana, F.S., Fonseca, R.R., Saraiva, A.M., Correa, P.L.P., Bravo, C., De Giovanni, R.: openModeller—an open framework for ecological niche modeling: analysis and future improvements. In: Computers in Agriculture and Natural Resources, 23–25 July 2006, Orlando Florida, p. 787. American Society of Agricultural and Biological Engineers (2006)

    Google Scholar 

  5. Santana, F.S., Saraiva, A.M.: SOC & SOA in Ecological niche modelling and agribusiness: discussion and case studies. In: 7th World Congress on Computers in Agriculture Conference Proceedings, 22–24 June 2009, Reno, Nevada, p. 1. American Society of Agricultural and Biological Engineers (2009)

    Google Scholar 

  6. Santana, F., Hallgren, W., Rehn, J., Cjiu, L., Holewa, H.: Implementing Best Practise and a Workflow for Modelling the Geospatial Distribution of Migratory Species, pp. 452–458. International Congress on Modelling and Simulation (2017)

    Google Scholar 

  7. Hallgren, W., Beaumont, L., Bowness, A., Chambers, L., Graham, E., Holewa, H., Laffan, S., Mackey, B., Nix, H., Price, J., Vamderwal, J., Warren, R., Weis, G.: The biodiversity and climate change virtual laboratory: where ecology meets big data. Environ Model Softw. 76, 182–186 (2016)

    Article  Google Scholar 

  8. Vignali, S., Barras, A.G., Arlettaz, R., Braunisch, V.: SDMtune: an R package to tune and evaluate species distribution models. Ecol. Evol. 10(20), 11488–11511 (2020)

    Article  Google Scholar 

  9. Araújo, M.B., Guisan, A.: Five (or so) challenges for species distribution modelling. J. Biogeogr. 33(10), 1677–1688 (2006)

    Article  Google Scholar 

  10. Li, X., Wang, Y.L: Applying various algorithms for species distribution modelling. Integr. Zool. 8(2), 124–135 (2013)

    Google Scholar 

  11. Hallgren, W., Santana, F., Low-Choy, S., Zhao, Y., Mackey, B.: Species distribution models can be highly sensitive to algorithm configuration. Ecol. Model. 408, 108719 (2019)

    Article  Google Scholar 

  12. Zhao, Y., Romero, J., Mohammadian, M.: Issues related to modelling and parameter settings of models for ecological systems the case of distribution of thorny devil. In: 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM), vol. 2, pp. 669–674. IEEE (2022)

    Google Scholar 

  13. Koala Threats: Queensland Government, [online] Environment|Department of Environment and Science (2022). Available at: https://environment.des.qld.govau/wildlife/animals/living-with/koalas/threats

  14. WWF: 60,000 koalas impacted by bushfire crisis. WWF Australia. [online] (2020). Available at: Accessed 24 Apr 2023

  15. Atlas of Livin Australia (ALA): [Online] (2018). Accessed 25 Mar 2019

  16. WorldClim—Global Climate Data|Free climate data for ecological modeling and GIS. [online] (2019). Available at: Accessed 9 June 2018

  17. Ochoa-Ochoa, L.M., Flores-Villela, O.A., Bezaury-Creel, J.E.: Using one vs. many, sensitivity and uncertainty analyses of species distribution models with focus on conservation area networks. Ecol. Model. 320, 372–382 (2016)

    Article  Google Scholar 

  18. Allouche, O., Tsoar, A., Kadmon, R.: Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J. Appl. Ecol. 43(6), 1223–1232 (2006)

    Article  Google Scholar 

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Zhao, Y., Mohammadian, M., Sarbazhosseini, H. (2024). Configuration and Evaluation of Models for Ecological Systems the Case of Distribution of Koala. In: Tavares, J.M.R.S., Pal, S., Gerogiannis, V.C., Hung, B.T. (eds) Proceedings of Second International Conference on Intelligent System. ICIS 2023. Algorithms for Intelligent Systems. Springer, Singapore.

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