2019 Fiscal Year Annual Research Report
Mathematical study of coupled human-environmental system for ecosystem management
| Project/Area Number |
19K16231
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| Research Institution | Kyushu University |
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Principal Investigator |
李 貞憲 九州大学, 理学研究院, 助教 (60732849)
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| Project Period (FY) |
2019-04-01 – 2020-03-31
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| Keywords | control of overtourism / corruption suppression / banning illegal logging / theoretical modelling / biodiversity |
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| 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)
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Research Products
(2 results)
