Numbering Code	U-AGR05 4E194 LJ80	Year/Term	2022 ・ Intensive, First semester
Number of Credits	2	Course Type	Lecture
Target Year	4th year students	Target Student
Language	Japanese	Day/Period	Intensive
Instructor name	Ishihara Masae (Field Science Education and Research Center Associate Professor) ISE TAKESHI (Field Science Education and Research Center Associate Professor) KOBAYASHI KAZUYA (Field Science Education and Research Center Associate Professor)
Outline and Purpose of the Course	As any ecosystem has a vast chronological and spatial expanse, it is difficult to see the full picture through observation and experiments. This is where modeling and simulation become useful. We can understand the ecosystem's dynamics and predict the future by quantitatively expressing the reproduction/competition/food chain of living organisms. Students will learn about ecosystem simulation starting with the basics and go on to lean about predicting the future of environmental problems based on simulation. Students will also learn about the latest information technology, such as deep learning and big data, which serve as the basis for simulation and its analysis. As the mathematics involved will be explained in detail starting with the basics, even students who are not strong in math are encouraged to participate.
Course Goals	To understand how to model the basic dynamics of an ecosystem. To understand the role of simulation in the study of ecosystems. To understand the role of data in the context of ecosystems and its analysis.
Schedule and Contents	The course is delivered as a series of intensive lectures over five afternoons from Monday July 12 to Friday July 16 (there should be no timetable clash with lectures or student experiments in forestry science). The outline is as follows: 1 (Ise): Introduction ? the significance of ecosystem simulation and examples of use 2 (Ise): Population dynamics modeling I ? population dynamics and differential equation/density effect 3 (Ise): Community dynamics modeling ? inter-species competition and predation/prey 4 (Kobayashi): Population dynamics modeling II ? individual difference/seasonality/age structure 5 (Kobayashi): Evolution and population dynamics I ? the basic concepts in evolution and its modeling 6 (Kobayashi): Evolution and population dynamics II ? optimization and game theory 7 (Kobayashi): Species coexistence mechanism I ? complexity and stability 8 (Kobayashi): Species coexistence mechanism II ? environmental heterogeneity and niche 9 (Ise): Material circulation model ? stock/flow/retention 10 (Ise): Global environmental problems and simulation ? the Earth system model 11 (Ise): Information technology and ecology ? deep learning and data assimilation 12 (Ishihara): Big data and broadband integrated analysis/meta-analysis 13 (Ishihara): Publication and storage of data ? latest database developments 14 (Ishihara): Big data ? points to be noted and its potential 15 (all): Feedback
Evaluation Methods and Policy	Assessment is based on attitude (20%, including class participation and responses to the set tasks) and the mini tests/mini reports (80%). Assessment criteria and policy are drawn from "Assessment criteria and policy" in the current version of the Faculty of Agriculture Student Handbook.
Course Requirements	None
Study outside of Class (preparation and review)	Be sure to read the textbook (in particular, Chapters 4-6) in advance.
Textbooks	Textbooks/References	ISE, Takeshi 『学んでみると生態学はおもしろい』 (Bereshuppan) ISBN:978-4860643430
References, etc.	ISE, Takeshi 『地球システムを科学する』 (Bere-shuppan) ISBN:978-4860643768, SAKAI, Satoki; TAKADA, Takanori and TOJU, Hirokazu 『生き物の進化ゲーム―進化生態学最前線：生物の不思議を解く― 大改訂版』 (Kyoritsu-shuppan) ISBN:978-4320057241; OOGUSHI, Takayuki; KONDO, Michio and NAMBA, Toshiyuki (eds.) 『シリーズ群集生態学３　生物間ネットワークを紐とく』 (University of Kyoto Press) ISBN:978-4876983452