'Using selective logging data to estimate carbon in a tropical rain forest' - GEOG 396 Undergraduate Research Project Application Form.

INSTRUCTIONS - PROFESSORS: Please print and review this form. Complete or correct the sections, as applicable, from "Supervisor's Name" to "Ethics, safety, and training". Please sign and date near the bottom ("Supervisor's signature").

INSTRUCTIONS - STUDENTS: You may receive this form by email, or you may download it from www.mcgill.ca/science/research/ours/396 after it has been posted. Either way, print and review this form. Complete or correct the sections, from "Student's Name" to "Student's Level", and sign ("Student signature). Ask your supervisor to sign her/his section near the bottom. Take it to the department corresponding to the course number; this may or may not be your own department. Do not register for a '396' course on Minerva until you receive departmental permission. Have a discussion with your supervisor about time/work expectations, keeping in mind that this is a 3-credit course (roughly, 10 hours per week for 12 weeks). Remember that a '396' course is an elective.

INSTRUCTIONS - DEPARTMENTS: After the unit chair/director/designate approves (or not) this project, please notify student. If approved, please give student permission to register on Minerva, and fax this form (with signatures) to the Office for Undergraduate Research in Science at 514-398-8102. The Office for Undergraduate Research in Science will later post the project online at www.mcgill.ca/science/research/ours/396/listing, indicating whether the project is open for students to apply or taken.

QUESTIONS OR FEEDBACK? Contact Victor Chisholm by email, or phone 514-398-5964

Supervisor's Name: J. Pablo Arroyo-Mora

Supervisor's Email: pablo.arroyo [at] mcgill.ca

Supervisor's Phone: 5316

Supervisor's department: Geography

Course number: GEOG396 (Geography)

Term: Fall 2011-2012

Project start date: Wednesday, September 1, 2011

Project end date: Tuesday, December 6, 2011

Project title: Using selective logging data to estimate carbon in a tropical rain forest

Project description: In this research project the student will test whether tree data from forest management inventories and censuses can be used to measure carbon dynamics in the Osa Peninsula, Costa Rica. Forest inventories provide a large amount of data about above ground biomass from trees larger than 30 cm and 60 cm in DBH, which account for more than 60% of the above ground biomass. The student will work on entering, organizing and analyzing data from approximately 60 management plans from the Osa Peninsula from 1998.

Prerequisite: 1 term completed at McGill + CGPA of 3.0 or higher; or permission of instructor.

Grading scheme (The final report must be worth at least 50% of final grade): Data entering and organization log book: 40% Final report: 60%

Other project information: This study is part of a larger project aiming to understand the utility of forest management information in ecological studies and conservation.

Project status - This project is: Taken

How students can apply: Bring a printed copy of this application form and your advising transcript to me during office hours.

Ethics, safety, and training: Supervisors are responsible for the ethics and safety compliance of undergraduate students. Which of the following, if any, is involved? None of the above (NEITHER animal subjects, nor human subjects, nor biohazardous substances, nor radioactive materials, nor handling chemicals, nor using lasers)

Student's Name:

Student's McGill ID:

Student's Email (first.last [at] mail.mcgill.ca):

Student's Phone:

Student's Program:

Student's Level (U0 / U1 / U2 / U3):

Student's signature - I have not applied for another '396' course in this term:

Supervisor's signature - I give my permission for the student identified above to register for this project under my supervision:


Unit chair/director/designate's name:

Unit chair/director/designate's signature - I certify that this project conforms to departmental requirements for 396 courses: