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Improvement of the population competition model

Journal of physics. Conference series, 2021-07, Vol.1978 (1), p.12057 [Tạp chí có phản biện]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1978/1/012057

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  • Nhan đề:
    Improvement of the population competition model
  • Tác giả: Chen, Bowen
  • Chủ đề: Competition ; Independent variables ; Mathematical models ; Parameters ; Population
  • Là 1 phần của: Journal of physics. Conference series, 2021-07, Vol.1978 (1), p.12057
  • Mô tả: Abstract Classic population competition model with fixed parameters can only be used under the condition of constant living environment, which is impossible in real life. So it has little practical significance in some cases. In this paper, the model will be improved so that it can be used in a changeable living environment. The objective is to establish the relationship between model parameters and independent variables of external conditions with multivariate regression. Growth curves of populations competing with each other are obtained by piecewise prediction. The data used in the regression are obtained by doing experiments. This paper will take wood rot fungus as an example to explain how to establish the relationship by doing experiments, and apply the new model and the classic one with artificial simulation data, so that two groups of predicted population competition curves are obtained. It has been found that the new model can more accurately describe population competition in the case of severe fluctuations in external environment, while the classic model has obvious errors. Finally, this paper briefly describes other advantages of the new model.
  • Nơi xuất bản: Bristol: IOP Publishing
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1978/1/012057
  • Nguồn: Open Access: IOP Publishing Free Content
    Geneva Foundation Free Medical Journals at publisher websites
    AUTh Library subscriptions: ProQuest Central
    IOPscience (Open Access)
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