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ecode: An R package to investigate community dynamics in ordinary differential equation systems

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  • Wu, Haoran

Abstract

Population dynamics modelling plays a crucial role in understanding ecological populations and making informed decisions for environmental management. However, existing software packages for dynamical system modelling often lack comprehensive integration of techniques and guidelines, limiting their practical usability. This paper introduces ecode, a novel package for modelling ecological populations and communities using ordinary differential equation systems, designed with a user-friendly framework. By following a three-cycle procedure, users can easily construct ecological models and explore their behaviours through a wide range of graphical, analytical, and numerical techniques. The package incorporates advanced techniques such as grid search methods and simulated annealing algorithms, enabling users to iteratively refine their models and achieve accurate predictions. Notably, ecode minimises external dependencies, ensuring robustness and reducing the risk of package failure caused by updates in dependencies. Overall, ecode serves as a valuable tool for ecological modelling, facilitating the exploration of complex ecological systems and the generation of informed predictions and management recommendations.

Suggested Citation

  • Wu, Haoran, 2024. "ecode: An R package to investigate community dynamics in ordinary differential equation systems," Ecological Modelling, Elsevier, vol. 491(C).
  • Handle: RePEc:eee:ecomod:v:491:y:2024:i:c:s0304380024000644
    DOI: 10.1016/j.ecolmodel.2024.110676
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    1. Hyung Jin Kim & Kenneth Reinschmidt, 2006. "A dynamic competition model for construction contractors," Construction Management and Economics, Taylor & Francis Journals, vol. 24(9), pages 955-965.
    2. Cartwright, Samantha J. & Bowgen, Katharine M. & Collop, Catherine & Hyder, Kieran & Nabe-Nielsen, Jacob & Stafford, Richard & Stillman, Richard A. & Thorpe, Robert B. & Sibly, Richard M., 2016. "Communicating complex ecological models to non-scientist end users," Ecological Modelling, Elsevier, vol. 338(C), pages 51-59.
    3. Greg Dwyer & Jonathan Dushoff & Susan Harrell Yee, 2004. "The combined effects of pathogens and predators on insect outbreaks," Nature, Nature, vol. 430(6997), pages 341-345, July.
    4. Ye, Xujun & Sakai, Kenshi, 2016. "A new modified resource budget model for nonlinear dynamics in citrus production," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 51-60.
    5. Schuwirth, Nele & Borgwardt, Florian & Domisch, Sami & Friedrichs, Martin & Kattwinkel, Mira & Kneis, David & Kuemmerlen, Mathias & Langhans, Simone D. & Martínez-López, Javier & Vermeiren, Peter, 2019. "How to make ecological models useful for environmental management," Ecological Modelling, Elsevier, vol. 411(C).
    6. Wilfried Thuiller, 2007. "Climate change and the ecologist," Nature, Nature, vol. 448(7153), pages 550-552, August.
    7. Grimm, Volker & Augusiak, Jacqueline & Focks, Andreas & Frank, Béatrice M. & Gabsi, Faten & Johnston, Alice S.A. & Liu, Chun & Martin, Benjamin T. & Meli, Mattia & Radchuk, Viktoriia & Thorbek, Pernil, 2014. "Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE," Ecological Modelling, Elsevier, vol. 280(C), pages 129-139.
    8. Carol Y. Lin, 2008. "Modeling Infectious Diseases in Humans and Animals by KEELING, M. J. and ROHANI, P," Biometrics, The International Biometric Society, vol. 64(3), pages 993-993, September.
    Full references (including those not matched with items on IDEAS)

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