Forest Information Sciences II

Numbering Code G-AGR02 6BA14 LJ80 Year/Term 2022 ・ Intensive, Second semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Intensive
Instructor name KOBAYASHI KAZUYA (Field Science Education and Research Center Associate Professor)
Outline and Purpose of the Course This course gives an outline of ecosystem ecology and statistical analysis for proper forest management. The goal of this course is to gain an understanding of structure and function of forest ecosystems, and to gain an understanding how to apply ecosystem ecology and statistical analysis to appropriate forest managements.     
Course Goals Achievement goal of this lecture is to understand of ecosystem ecology and statistical analysis and to understand those application concerning forest management.
Schedule and Contents 1. The course will consist of lectures by the instructor and presentations by the students about following topics; plant-soil interaction in forest ecosystems, changes in forest structure and matter cycling along the stand developmental stages , and the effects of disturbance on forest ecosystems. (7 classes)
2. The course introduces basic concepts of statistical analysis, as well as model construction, with specific focus on their use in forest ecology. Topics covered include basic discussion on p-value, analytical methods such as ANOVA, GLM, practices by R, confounding, correlation and causality.(7 classes)
3. Summary of course topics (1 class)       
Evaluation Methods and Policy Achivement for understanding of course contents and its application will be evaluated by report(40%),presentation and discussion (60%)in the class.
Course Requirements No prerequisite, but attendance, eagerness and activity for class is necessary.
Study outside of Class (preparation and review) As out-of-class study, students have to write report and to prepare presentation concerning the lecture.
Textbooks Textbooks/References We will introduce some related texts in lecture.
References, etc. We will introduce some related texts in lecture.
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