Population Uncertainty in Model Ecosystem: Analysis by Stochastic Differential Equation

• Morita Satoru

  Department of Systems Engineering, Shizuoka University

• Tainaka Kei-ichi

  Department of Systems Engineering, Shizuoka University

• Nagata Hiroyasu

  Department of Systems Engineering, Shizuoka University

• Yoshimura Jin

  Department of Systems Engineering, Shizuoka University

抄録

Perturbation experiments are carried out by the numerical simulations of a contact process and its mean-field version. Here, the mortality rate increases or decreases suddenly. It is known that fluctuation enhancement (FE) occurs after perturbation, where FE indicates population uncertainty. In the present paper, we develop a new theory of stochastic differential equation. The agreement between the theory and the mean-field simulation is almost perfect. This theory enables us to find a much stronger FE than that reported previously. We discuss the population uncertainty in the recovering process of endangered species.

収録刊行物

• Ｊｏｕｒｎａｌ　ｏｆ　ｔｈｅ　Ｐｈｙｓｉｃａｌ　Ｓｏｃｉｅｔｙ　ｏｆ　Ｊａｐａｎ

  Ｊｏｕｒｎａｌ　ｏｆ　ｔｈｅ　Ｐｈｙｓｉｃａｌ　Ｓｏｃｉｅｔｙ　ｏｆ　Ｊａｐａｎ 77 (9), 093801-093801, 2008

  一般社団法人 日本物理学会

キーワード

• fluctuation enhancement
• contact process
• finite lattice size
• mean field theory
• stochastic differential equation
• Langevin equation

詳細情報

• CRID: 1390282679174080128
• NII論文ID: 130005436971
• NII論文ID: 110006933477
• NII論文ID: 210000107413
• NII書誌ID: AA00704814
• DOI: 10.1143/jpsj.77.093801
• ISSN: 13474073
• ISSN: 00319015
• NDL書誌ID: 9646285
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9646285
• Web Site: https://journals.jps.jp/doi/pdf/10.1143/JPSJ.77.093801
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可