FOR322
Table of Contents





Faculty of Forestry
SUNY-ESF
  Session: Fall 2000

FOR322 Forest Resource Measurements & Analysis

Course Outline


Instructor:

Eddie Bevilacqua (301 Bray Hall, 470-6697, ebevilacqua@esf.edu)

Teaching Assistant:

Diane Kiernan (dhkierna@syr.edu)

Schedule Of Classes:

Lectures

Tuesday

8:30-9:25 a.m. (212 Marshall)

   

Thursday

8:30-9:25 a.m. (212 Marshall)

 

Laboratories

Session 1 Tuesday

1:00-4:30 p.m. (307 Baker)*

   

Session 2 Thursday

1:00-4:30 p.m. (307 Baker)*

Office Hours:

Wednesday

9:00-10:00 a.m., or by appointment

Web Page:

https://www.esf.edu/course/ebevilacqua/for322/


*Except for field trips, when buses leave at noon

Proverb:

"I hear and I forget; I see and I remember; I do and I understand."


Prerequisites:

  • FOR 303 or equivalent
  • APM 391 or equivalent

Required Texts:

  • Avery, T.E. and H.E. Burkhart. 1994. Forest Measurements 4th ed. McGraw-Hill Inc. 408 p. (This is the text that was used in FOR 303 and is available at the Orange Book Store)
  • Shiver, B.D. and B.E. Borders. 1996. Sampling Techniques for Forest Resource Inventory. John Wiley & Sons, Inc. 356 p. (This text is available at the Orange Book Store)

Course Objectives:

By the end of this course, we will:

  1. Learn the various units and vocabulary necessary to describe forest attributes and forest products, so as to communicate with other forest workers and statisticians
  2. Learn, understand and discuss the methodologies utilized in collecting data required for forest growth and yield studies
  3. Learn, understand and discuss alternative methodologies used for estimating and evaluating forest growth and yield
  4. Learn, understand and discuss the benefits and limitations of commonly used forest sampling designs
  5. Learn to summarize, analyze and present stand level data
  6. Demonstrate professionalism
  7. Practice working in teams to accomplish tasks, complete projects, and solve problems

Measurable Learning Outcomes or Competencies:

By the end of this course, the student can:
  1. use various forest measurement tools properly and efficiently
  2. collect data accurately and efficiently on individual trees or plots according to accepted standards
  3. effectively convert data into information
  4. apply the theory and concepts behind commonly used forest sampling designs
  5. correctly calculate estimates of total volume and density of forested stands using appropriate statistical formulae, including calculating the estimate of the sampling error
  6. correctly apply appropriate forest growth modeling techniques to estimate future forest yield
  7. professionally present data and information in a form consistent with technical report writing
  8. appreciate the cost of data as it pertains to its value in forest management applications
  9. effectively convert between units of measurement commonly used in forestry
  10. work effectively in teams
  11. demonstrate professionalism

Grading Policy:

  1. Attendance:
  2. Class attendance is vital -- absences, for any reason, do not relieve the student of the responsibility for assignments, laboratories and lecture materials covered during the absence.

  3. Homework assignments and Laboratory Reports:
  4. All homework assignments are due at the beginning of the class on the date due. Laboratory reports are due at the end of the laboratory period, unless otherwise stated.

    Late homework assignments or laboratory reports will be severely penalized:

      • 50% grade reduction if turned in 1 to 24 hours late;
      • 100% grade reduction if turned in over 24 hours late!
  5. Exams:
  6. Exams will be comprehensive and will cover all materials presented in lectures, laboratories, and reading assignments

  7. Weights:
  8. Quizzes (10)

    5%

     

    Homework (4)

    20%

     

    Lab Reports (10)

    30%

     

    Mid-term Exam

    20%

    October 5, 2000

    Final Exam

    25%

    November 9, 2000

    TOTAL

    100%

     

  9. Grading Scale:

Grade

Min %

A
A-
B+
B
B-
C+
C
C-
D
F
92
85
81
78
75
71
68
65
60
<60
 
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Last Updated by E.Bevilacqua 9/18/00