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Mathematical study of coupled human-environmental system for ecosystem management

Research Project

Project/Area Number 19K16231
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 45040:Ecology and environment-related
Research InstitutionKyushu University

Principal Investigator

李 貞憲  九州大学, 理学研究院, 助教 (60732849)

Project Period (FY) 2019-04-01 – 2020-03-31
Project Status Discontinued (Fiscal Year 2019)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywordscontrol of overtourism / corruption suppression / banning illegal logging / theoretical modelling / biodiversity / ecosystem management / game theory / theoretical modeling / cooperation
Outline of Research at the Start

To make more influential theory for ecosystem management, I will collect and analyse data that will be derived from social media. Based on the analysis, I will make models to extract effective strategies. Research projects will be published and I will also figure out effective out reach activities to inform the result to citizens.

Outline of Annual Research Achievements

We aim to incorporate social sciences for sustainable natural resource management by using theoretical modelling approach. We plan to focus on different themes for the purpose; (1) control overtourism to protect biodiversity (2) illegal logging and corruption, (3) theoretical model to enhance human cooperation to preserve valuable common resources.
For this purpose, we implemented tourists recognition over overtourism and biodiversity conservation visiting Jeju island in Korea and also built the theoretical model to incorporate that. We suggested the strategies to protect biodiversity under which the tourism destination still gain economic benefit. Also, to fight against corruption and to prevent illegal logging, we could build a more general theoretical model to cover the theme to specify the conditions to suppress the corruption and illegal logging, also could specify the phenomenon where corruption and illegal logging persistently exist nearby. Finally, we gain the model to prevent land abandonment which may cause loss of biodiversity and the cultural value of terraced rice field.
Publications:
1) Joung-Hun Lee, Y Iwasa, U Dieckmann, K Sigmund, 2019. Social evolution leads to persistent corruption. Proceedings of the National Academy of Sciences, 116(27) 13276-13281
2) Joung-Hun Lee, R Yamaguchi, H Yokomizo, M. Nakamaru, 2020, Preservation of the value of rice paddy fields: investigating how to prevent farmers from abandoning the fields by means of evolutionary game theory, Journal of Theoretical Biology, Vol. 495 (https://doi.org/10.1016/j.jtbi.2020.110247)

Report

(1 results)
  • 2019 Annual Research Report
  • Research Products

    (2 results)

All 2020 2019

All Journal Article (2 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 2 results)

  • [Journal Article] Preservation of the value of rice paddy fields: investigating how to prevent farmers from abandoning the fields by means of evolutionary game theory2020

    • Author(s)
      Lee, J. H., Yamaguchi, R., Yokomizo, H., & Nakamaru, M
    • Journal Title

      ournal of Theoretical Biology

      Volume: 495 Pages: 110247-110247

    • DOI

      10.1016/j.jtbi.2020.110247

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Social evolution leads to persistent corruption2019

    • Author(s)
      Lee Joung-Hun、Iwasa Yoh、Dieckmann Ulf、Sigmund Karl
    • Journal Title

      Proceedings of the National Academy of Sciences

      Volume: 116 Issue: 27 Pages: 13276-13281

    • DOI

      10.1073/pnas.1900078116

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research

URL: 

Published: 2019-04-18   Modified: 2021-01-27  

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