Laboratory Course in Forest Utilization1

Numbering Code G-AGR02 5BC24 EJ80 Year/Term 2022 ・ Year-round
Number of Credits 5 Course Type Experiment
Target Year Target Student
Language Japanese Day/Period
Instructor name DANNOURA MASAKO (Graduate School of Agriculture Associate Professor)
Outline and Purpose of the Course Basic and applied laboratory and field experiments will be conducted in accordance with students' interests for areas of research related to qualitative and/or quantitative analyses of plant ecological and physiological functions found in forest ecosystems.
Course Goals Aim of this course is to develop skills necessary to conduct scientific research more or less independently.
Schedule and Contents Three to four weeks of laboratory time will be devoted to each of the following subjects: (1) Space-time variations of forest resources: Evaluate characteristics and temporal-spatial variations of various forest types e.g. natural forests, plantations, temperate forests, tropical forests, boreal forests through remote sensing, global positioning systems, GIS, etc.; (2) Forest site condition, tree growth, and stand structural development: Evaluate tree and stand growth in relation to site conditions, and structural development of forest stands and wood quality; (3) Ecological anatomy of wood: Discuss relationships between tree growth and wood formation, with special reference to moisture condition affecting wood structure; (4) Carbon dynamics of forests: Patterns and mechanisms of forest carbon dynamics will be discussed in relation to various forest types and regions.
Evaluation Methods and Policy Quality of experimental design, execution of experiments, results obtained, their interpretation and explanation will be considered in student evaluation.
Course Requirements None. (Some knowledge on forest production, tree physiology, silviculture, forest ecology etc. are helpful.)
Study outside of Class (preparation and review) Most activity of this course will be done outside of the classroom, because research would involve daily activities of considering research methods, data sampling, analysis and summary.
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