Class meeting time: Tuesday 1: 00 to 3: 45 pm prerequisites



Download 69.05 Kb.
Date03.03.2018
Size69.05 Kb.
#42287

Quant. Fish Mgt. COA 640


Instructor: Dr. Robert Leaf

Email: robert.leaf@usm.edu

Office: GCRL Oceanography 119

Office hours: By appointment


Class meeting time: Tuesday 1:00 to 3:45 PM

Prerequisites: Familiarity with spreadsheet operations and parametric statistics

Credits: 3 hours
Description:

This course addresses basic and advanced quantitative approaches to methods of fishery assessment and fishery science.


The objectives of this course are:

  • Provide an overview of the approach and process of fisheries management.

  • Introduce quantitative methods of fisheries assessment.

  • Expose students to current primary literature related to fisheries management.

  • Promote an interest and understanding of scientific research related to fisheries management, including critical thinking skills.


Evaluation:

Exams and projects are intended to provide multiple points of evaluation to allow for continual assessment of learning.


Policy on phone use in class:

Please be respectful to the class – step outside the class when using your mobile device.


Assignment Deadlines:

The instructors expect all work to be turned in at the beginning of class the day it is due. Otherwise, it is considered late work. Late work will only be accepted with prior consent. Furthermore, we claim carte blanche regarding the penalty of late work.


Text:

Modelling and Quantitative Methods in Fisheries, Second Edition

Malcolm Haddon 2011 by Chapman and Hall/CRC

Textbook - 465 Pages


The Ecological Detective: Confronting Models with Data

Book by Marc Mangel and Ray Hilborn, 1997



Schedule:


Week

Date

Lecture

Assignments Due

Reading

1

Jan 17




 




2

Jan 24

Fishery Science and Ecological Modeling




Hilborn and Mangel p. 1 to 202


3

Jan 31

Mortality rate estimation

Catch Curves

Gear selectivity





Smith et al. (2007)

ASMFC p. 54 to 71

ASMFC p. 72 to 88


4

Feb 7

Age and length structured per-recruit models

HW01

Prager et al. (1987)

ASMFC p. 89 to 107



5

Feb 14

Matrix population models




Frisk et al. (2002)

Brault and Caswell (1993)

Caswell Ch. 2


6

Feb 21

Abundance Estimation




Cadrin and Secor (2009)

Harley et al. (2001)

Gulland (1966)

ASMFC p. 138 to 157, Crone (2011)



7

Feb 28

Mardis Gras Holiday







8

Mar 7

Bayesian Inference




Hilborn and Mangel p. 203 - 280

9

Mar 14

Spring Break







10

Mar 21

Stock and recruitment

Steepness






Pitcher and Hart p. 172 to 218

Walters and Martell p. 151 to 178




11

Mar 28

Production models 01




Prager et al. (1996)

ASMFC p. 108 to 123

ASMFC p. 205 to 217


12

April 4

Production models 02

HW02




13

Apr 11

Catch survey analysis




Kahn and Helser (2005)

Miller (2012)

ASMFC p. 181 to 204


14

Apr 18

Age- and length-structured models




ASMFC p. 158 to 180

15

Apr 25

Fishery Reference Points

HW03

ASMFC p. 218 to 228

Sinclair 1999



Larkin 1977

16

May 2

Ecosystem Based Fishery Management

Project

Link p. 3 to 33


Student Evaluation:


Evaluation Type

N

Pts/item

Total points

Percent of Total

HW01 to HW03

3

25

75

50%

Project

1

75

75

50%

Total course







150

100%



Grading scale:

Points percentage

Letter grade

90-100

A

86-89

B+

83-85

B

80-82

B-

76-79

C+

73-75

C

70-72

C-

66-69

D+

63-65

D

60-62

D-

< 60

F


Academic Integrity
All students at the University of Southern Mississippi are expected to demonstrate the highest levels of academic integrity in all that they do. Forms of academic dishonesty include (but are not limited to):


  • Cheating (including copying from others’ work)

  • Plagiarism (representing another person’s words or ideas as your own; failure to properly cite the source of your information, argument, or concepts)

  • Falsification of documents

  • Disclosure of test or other assignment content to another student

  • Submission of the same paper or other assignment to more than one class without the explicit approval of all faculty members’ involved

  • Unauthorized academic collaboration with others

  • Conspiracy to engage in academic misconduct

Engaging in any of these behaviors or supporting others who do so will result in academic penalties and/or other sanctions. If a faculty member determines that a student has violated our Academic Integrity Policy, sanctions ranging from resubmission of work to course failure may occur, including the possibility of receiving a grade of “XF” for the course, which will be on the student’s transcript with the notation “Failure due to academic misconduct.”


For more details, please see the University’s Academic Integrity Policy: https://www.usm.edu/institutional-policies/policy-acaf-pro-012 Note that repeated acts of academic misconduct will lead to expulsion from the University.
All academic work in this course, including homework, quizzes, and exams, is to be your own work, unless otherwise specifically provided. It is your responsibility if you have any doubt to confirm whether or not collaboration is permitted.
Disability Accommodations

If a student has a disability that qualifies under the Americans with Disabilities Act (ADA) and requires accommodations, he/she should contact the Office for Disability Accommodations (ODA) for information on appropriate policies and procedures. Disabilities covered by ADA may include learning, psychiatric, physical disabilities, or chronic health disorders. Students can contact ODA if they are not certain whether a medical condition/disability qualifies.

Address:

The University of Southern Mississippi

Office for Disability Accommodations

118 College Drive # 8586

Hattiesburg, MS 39406-0001
Voice Telephone: 601.266.5024 or 228.214.3232
Fax: 601.266.6035

Individuals with hearing impairments can contact ODA using the Mississippi Relay Service at 1.800.582.2233 (TTY) or emailing ODA at oda@usm.edu.



Bibliography:
Brault S, Caswell H., 1993. Pod-specific demography of Killer whales (Orcinus orca). Ecology 74(5):1444-54.
Cadrin, S.X., Secor, D.H., 2009. Accounting for spatial population structure in stock assessment: past, present, and future; The future of fisheries science in North America. Springer, pp. 405-426.
Caswell, H., 2001. Matrix population models. Wiley Online Library, 722 pp.
Clark, W. G., 1976. The lesson of the Peruvian anchoveta fishery. California Cooperative Oceanic Fisheries Investigations. Reports, XIX, July 1975 to 30 June 1976.
Collie, J.S., 2000. Catch Survey Analysis. Pages 181 to 204 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
Crone, P.R., 1995. Sampling design and statistical considerations for the commercial groundfish fishery of Oregon. Canadian Journal of Fisheries and Aquatic Sciences 52(4): 716-732.
DeAlteris, J.T., Skrobe, L.G., 2000. Introduction to Fish Stock Assessment, Fisheries Management, Fisheries and Fishery-Dependent Data, and Research Surveys And Fishery-Independent Data. Pages 2 to 17 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000, Mathematics and Biostatistics Review. Pages 18 to 40 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., Skrobe, L.G., Orth, D., Lazar, N., 2000. Estimation of Mortality Rates. Pages 54 to 71 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. Selectivity of Marine Fish Harvesting Gears: General Theory, Size Selection Experiments and Determination of Size Selection Curves. Pages 72 to 88 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. Developement and Application of Yield Per Recruit And Spawning Stock Per Recruit Models. Pages 89 to 107 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. Production Models. Pages 108 to 123 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. Stock and Recruitment. Pages 124 to 137 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.

Bibliography:
DeAlteris, J.T., 2000. Sampling Methodology Review. Pages 138 to 157 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. Biomass Dynamics Models. Pages 205 to 217 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
DeAlteris, J.T., 2000. A Review of Fish Stock Assessment Data and Models and the Resulting Biological Reference Points Used in Fisheries Management. Pages 218 to 228 in Special Report no. 69 of the Atlantic States Marine Fisheries Commission, Fisheries Stock Assessment User’s Guide, 230 pp.
Frisk, M.G., Miller, T.J., and Fogarty, M.J., 2002. The population dynamics of little skate Leucoraja erinacea, winter skate Leucoraja ocellata, and barndoor skate Dipturus laevis: predicting exploitation limits using matrix analysis. ICES Journal of Marine Science 59: 576-586.
Gotelli N.J., 1998. A primer of ecology. 2 ed. Sinauer Associates, Inc. 1 to 48 p.
Gulland, J.A., 1966. Manual of sampling and statistical methods for fisheries biology. Part 1. Sampling methods. FAO Manuals in Fisheries Science (3):87 pp.
Haddon, M., 2010. Modelling and quantitative methods in fisheries. Chapman & Hall/CRC, Boca Raton, 406 pp.
Harley, S.J., Myers, R.A., Dunn, A., 2001. Is catch-per-unit-effort proportional to abundance? Canadian Journal of Fisheries and Aquatic Sciences, 58: 1760-1772.
Hilborn, R., Mangel, M., 1997. The ecological detective: confronting models with data, 28. Princeton University Press, 315 pp.
Hilborn, R., Walters, C.J., 2013. Quantitative fisheries stock assessment: choice, dynamics and uncertainty. Springer Science, 571 pp.
Iles, T., 1994. A review of stock-recruitment relationships with reference to flatfish populations. Netherlands Journal of Sea Research, 32(3): 399-420.
Kahn, D.M., Helser, T.E. 2005. Abundance, dynamics and mortality rates of the Delaware Bay stock of blue crabs, Callinectes sapidus. Journal of Shellfish Research, 24, 269–284. 19 pp.
Larkin, P.A., 1977. An epitaph for the concept of maximum sustained yield. Transactions of the American fisheries society, 106(1): 1-11.
Link, J., 2010. Ecosystem-based fisheries management: confronting tradeoffs. Cambridge University Press, 207 pp.

Bibliography:
Miller, T.J. 2012. Application and update of a catch, multiple survey model to the Chesapeake Bay blue crab fishery. Assessment Working Paper 5.
Pitcher, T.J., Hart, P.J.B., 1983. Fisheries ecology. Croom Helm Ltd., 414 pp.
Prager M.H., O'Brien J.F., Saila S.B., 1987. Using lifetime fecundity to compare management strategies: a case history for striped bass. North American Journal of Fisheries Management (7):403-409.
Prager, M.H., Goodyear, C.P., Scott, G.P., 1996. Application of a surplus production model to a swordfish-like simulated stock with time-changing gear selectivity. Transactions of the American Fisheries Society, 125: 729–740.
Sinclair, A., 1999. Biological reference points relevant to a precautionary approach to fisheries management: an example for Southern Gulf of St. Lawrence cod. NAFO Sci. Coun. Studies, 32: 25-35.
Walters, C.J., Martell, S.J., 2004. Fisheries ecology and management. Princeton University Press, 399 pp.



Download 69.05 Kb.

Share with your friends:




The database is protected by copyright ©ininet.org 2024
send message

    Main page