FOR 425 – Forest Management (4-credits)
FOR 330 – GIS and Spatial Analysis (3-credits)
FOR 357 – Forest Inventory and Measurements II (2-credits)
FOR 770 – Optimization Techniques in Natural Resources Management (1-credit)
This course covers the most fundamental decision forest managers make when managing forests for timber and non-timber production at the stand and forest level. Students will gain understanding of the principles of financial analysis and its application to forest valuation, even-aged management decisions (optimal economic and biological rotation), uneven-aged management decisions (optimal cutting cycle and remaning basal area, and ideal diameter distribution), and forest regulation. Students will also be exposed to linear programming as a tool to address forest management planning decisions such as timing and amount of harvests at the forest level.
This course covers the principles and operations of geographic information systems (GIS) applied to problems in forestry and natural resources. Students will learn to create and use digital datasets and maps, perform basic spatial analysis, and integrate social and economic data to solve spatially related problems in natural resources. This course is designed to give students a practical introduction to GIS as well as help students understand basic concepts and techniques for storing, retrieving, analyzing and displaying spatial data. The laboratory component of this course will provide students with a basic working knowledge of the ArcMap 10 software package.
As part of the field semester, this course is separated in two parts. Part one consists of one week of classroom lectures and field data collection where students are introduced to basic mensuration concepts, learn the proper use of inventory equipment, and conduct lab exercises to become familiar with procedures related to forest inventory and measurements. Part twois a one week at the University of Kentucky's Robinson Forest, where students are assigned a forest stand for the purpose of collecting inventory data and developing an inventory report.
This is a seminar course covering the use of mathematical optimization techniques to address several natural resources planning problems. Optimization techniques include linear, integer, and mixed-integer programming as well as combinatorial optimization. The focus of the course is on forestry related problems, more specifically planning problems for timber production and more complex problems including wildlife and environmental concerns. Lectures are used to introduce mathematical techniques and assigned readings (peer-reviews publications) are used to illustrate their application to natural resources problems.