| Course title | |||||
| 生態系保全学Ⅱ [Ecosystem Conservation Ⅱ] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 1～1 | Semester | 1st | |
| Course type | 1st | Course code | 05nc0010f | ||
| Instructor(s) | |||||
| 岩井 紀子, 赤坂 宗光 [IWAI Noriko, AKASAKA Munemitsu] | |||||
| Facility affiliation | Faculty of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
|
Aims: Students will learn the theory and research methods for ecosystem conservation based on vegetation science, biodiversity conservation, landscape ecology, and hydrosphere ecology. Outline: IWAI class Lectures and practical exercises of mathematical biology. Students are required to well prepare for the class by working on end-of-chapter exercises. AKASAKA class This course provides students with practical exercises, particularly focusing on statistical analyses on field-obtained data of plants, insects and animals. |
| Expected Learning |
|
Students are required to gain knowledge of vegetation science, biodiversity conservation, landscape ecology, and hydrosphere ecology. And you need to gain ability to apply it to actual conservation planning. Corresponding criteria in the Diploma policy: See the curriculum maps. http://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
IWAI class 1. Introduction. Chapter 1. Dynamics of one-species population. 2-8. Lectures and exercises of one or two chapters. AKASAKA class 1. Introduction 2. Data analyses on plant diversity 3. Data analyses on temporal dynamics of plant biomass 4. Data analyses on insect diversity 5. Data analyses on insect communities 6. Presentation and discussion (first half groups) 7. Presentation and discussion (last half groups) 8. (Summary) |
| Prerequisites |
|
This lecture is an elective subject, and is one of the specialized subjects. The students are required to have basic knowledge of ecology, vegetation science, biodiversity conservation, and landscape ecology. Students need to preview and review for an amount of time as indicated in the student guidelines of TUAT, in addition to the attendance of lecture (30 ours). Akasaka class: students are required to have basic knowledge on generalized linear models. Ordination analyses, and programming in R environment. Students are required to take ‘Exercise for Methods of Agricultural Experimental design and Statistical Analysis I’ which is offered in the same semester. This class is partially intensive, participants must attend the first lecture (introduction). |
| Required Text(s) and Materials |
|
IWAI class Y. Iwasa. “Introduction to mathematical biology” Kyo-ritu Shuppan AKASAKA class Reference materials will be provided when needed. |
| References |
| AKASAKA class: Will be provide when needed |
| Assessment/Grading |
|
IWAI class Presentation at the class 30%, report 50%. AKASAKA class: Performance on assignments 50%, Performance on presentation and discussion 50% |
| Message from instructor(s) |
| Course keywords |
| Plant community, Field data analysis, mathematical biology |
| Office hours |
| Please make an appointment by e-mail. |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/13/2019 8:59:32 AM |