Course Syllabus

Mark-recapture

analysis

NRES 896 Module #2 (1 cr)

 

Course homepage:

http://snr.unl.edu/powell/teaching/nres896/MR/nres896.htm

Survival rates of village chickens with a variety of feeds (Roberts 1999).

Spring 2008

University of Nebraska-Lincoln

School of Natural Resources

Location

TR 3:00-4:15 (February 19 - March 27)

141 Hardin Hall

Instructor

Larkin Powell, Associate Professor

Office:  419 Hardin Hall

Phone:  402.472.6825

Email:  lpowell3@unl.edu

Course Schedule

Links

 

 

Course description  

Introduction to the estimation of demographic parameters from mark-recapture data.  Mark-recapture analyses (closed and open population models), survival estimation from band recoveries, live recaptures and resightings, and known fate data (telemetry and avian nest survival data).  We will use a variety of software packages, including program MARK.  This 1-credit mini-course is computer intensive and applied.  Graduate-only course.

Grading

Exams (1): 30%

Homework: 70%

(Explanation of grading system)

 

Textbook

Cooch, E., and G. White.  2005.  Program MARK: a gentle introduction, 4th edition.  Can be viewed and/or downloaded from here

Other suggested reading:

Williams, B. K., J. D. Nichols, and M. J. Conroy.  2001.  Analysis and management of animal populations.  Academic Press. (top recommendation)

Krebs, C. J.  1999. Ecological methodology, 2nd edition.  Benjamin/Cummings, Menlo Park, CA.

Millspaugh, J., and J. M Marzloff.  2001.  Radio tracking and animal populations.  Academic Press.

Thompson, W. L., G. C. White, and C. Gowan.  1998.  Monitoring vertebrate populations.  Academic Press, San Diego.

 

Course objectives

At the end of this course, students will be able to:

1.  Use mark-recapture analyses to estimate demographic parameters for animal populations, such as survival, movement, and population size.

2.  Design and plan a mark-recapture study that provide rigorous data for decision-making.

3.  Discuss current literature, method assumptions, and quantitative theory as it pertains to the estimation procedures used in this course.