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MSCI 458/558: FISHERIES SCIENCE

Dr. Rob Young

Marine Science Department, Coastal Carolina University, ryoung@coastal.edu; phone: 803-349-2277; fax: 803-349-2545

Coastal Carolina University Home Page

CCU School of Natural and Applied Sciences

CCU Marine Science Department

 

 

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SYLLABUS - Spring 2005

MSCI 458/458L/558:  Fisheries Science and Lab

                                                                             

Instructor:       Dr. Rob Young
Office:             CSCC 151J
Phone:             349-2277

Office Hours:  MWF 9:00-10:00, 11:00-12:00 and by appointment

 

Required Textbook:

Fisheries Ecology and Management  by CJ Walters and SJD Martell

           

Course Objective:

            The emphasis of this course will be on the science of fisheries stock assessment and forecasting within the context of the logistic, social, and economic realities of fisheries practice and management.  The course will focus on sampling techniques and models for determining stock assessment, age and growth analysis, mortality, recruitment, yield, production, and early life history.  You will also be expected to have a sound understanding of fishery resources, harvesting techniques, historical and current management efforts, and issues associated with specific important fisheries. 

 

Course Organization:

            Fisheries Science includes the scientific, environmental, social, political, and economic aspects of managing fisheries.  The scientific aspects will be introduced in lecture and further explored in the laboratory throughout the semester.  The remaining aspects will be covered in lecture.  The scientific laboratory problem sets will often spill over into the lecture time, as needed. 

 

Grading:

 

            Technically, lecture and lab are separate co-requisite courses (3 credits and 1 credit), and you receive a separate grade for each, but in practice they are completely integrated.  Thus, an overall grade is based on both the lecture and lab sections combined, and you will receive the same grade for each. Make-ups for tests, assignments, and laboratories will be given only for medical reasons (with a doctor's excuse), a death in the family, or if a suitable reason has been cleared with me ahead of time.  [Graduate students do not need to register for the lab section of this course, but because the lecture and lab are highly integrated, they will be required to complete the problem sets (which can be done on their own) and are encouraged to participate in field trips.  Thus, their requirements for the lecture section of the course are similar to the combined lecture and lab sections for the undergraduates.  Graduate students will also be given one additional assignment that may be another problem set or a summary paper/project.]    The point breakdown is as follows:

 

3 tests (including final exam)

45%

Problem sets

45%

Class and laboratory participation

10%

 

·         Tests can be on topics covered in the book, in lecture, and in the problem sets.  The final exam may be cumulative and all 3 tests are weighted equally. 

·         Problems sets are usually introduced in lab, but will typically extend into lecture days and homework.  These are generally models and exercises using available data sets.  Some of the background information for these exercises is not available from your text.  The problem sets and supplemental activities will be available through the course web pages. 

·         Class participation is a large part of your grade.  You will be given reading assignments with discussion questions, and I will ask questions to students by name for each day's topic.  I envision class time as discussion, not lecture.  I will keep track of daily participation and give you updates of your progress.  If you miss any laboratory without an acceptable excuse, you will not be able to make up the points from that day’s assignment, or if it is a hands-on lab or field trip without an assignement, you will lose 2% of your total grade per absence.  As per the University Catalogue, unexcused absences in excess of 25% of the regularly scheduled classes will result in an F for the course.

 


Lecture Schedule

Date

Topic

Chapters

Jan 10-12

Introduction, historical fisheries trends, fisheries resources

web

Jan 15

MLK Day

 

Jan 17-19

Fishery resources, life histories, aquatic ecology and production processes

web

Jan 22-26

Fishery resources, life histories, aquatic ecology and production processes

web

Jan 29-Feb 2

Fishing gear and methods

 

Feb 5-9

Objectives of fisheries management

1,2

Feb 12-16

The basics of population dynamics and harvest regulation

3,4

Feb 19-23

The basics of population dynamics and harvest regulation

3,4

Feb 26-Mar 2

Single Species models

5,6,7

Mar 5-9

Single Species models

5,6,7

Mar 12-16

Spring Break

 

Mar 19-23

Single Species models

5,6,7

Mar 26-30

Dynamic and ecosystem models

8,9,10,11,12

Apr 2-6

Dynamic and ecosystem models

8,9,10,11,12

Apr 9-13

Dynamic and ecosystem models

8,9,10,11,12

Apr 16-20

Management strategies

13,14

Apr 23-27

Management strategies

13,14

Wed, May 2

EXAM – 11:00 am

 

 


Laboratory Schedule

(the order of labs is highly likely to change)

Date

Topic

Jan 15

MLK Jr. Day - no lab

Jan 22

Lab 1:  Estimating Abundance

Jan 29

Lab 2:  Estimating Growth   

Feb 5

Lab 3:  Cohort Analysis and Virtual Population Analysis

Feb 12

TEST 1

Feb 19

Lab 4:  Estimating Mortality - Catch Curve Analysis      

Feb 26

Lab 5:  Estimating Mortality II    

Mar 5

Lab 6 - Yield Per Recuit and Dynamic Pool Models      

Mar 12

Spring Break - no lab

Mar 19

Field trips, lab work, other

Mar 26

TEST 2

Apr 2

Field trips, lab work, other

Apr 9

Field trips, lab work, other

Apr 16

Field trips, lab work, other

Apr 23

Field trips, lab work, other

 

 


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Web Site designed and maintained by:

Rob Young, Marine Science Department, Coastal Carolina University, PO Box 261954, Conway, SC 29528-6054