25.07.2014 Views

annotated bibliography of fisheries economics literature - Office of ...

annotated bibliography of fisheries economics literature - Office of ...

annotated bibliography of fisheries economics literature - Office of ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Hightower, Joseph E. and William H. Lenarz (1989). Using GENMOD to Develop<br />

Harvesting Policies for Multiaged Fish Stocks. American Fisheries<br />

Society Symposium, 6:209-210.<br />

Program GENMOD is a microcomputer based simulation program that applies<br />

an age structured population model to problems <strong>of</strong> optimal harvesting policy.<br />

It can be used to explore alternative harvesting policies and determine the<br />

policy that best satisfies conflicting objectives <strong>of</strong> fishery management. This<br />

public domain program is written for IBM PC and PC compatible systems.<br />

Hilborn, R. (1976). "Optimal Exploitation <strong>of</strong> Multiple Stocks by a<br />

Common Fishery: A New Methodology." J. Fish. Res. Board Can.,<br />

33:1-5.<br />

Optimal harvest rates for mixed stocks <strong>of</strong> fish are calculated using<br />

stochastic dynamic programming. This technique is shown to be superior to the<br />

best methods currently described in the <strong>literature</strong>. The Ricker stock<br />

recruitment curve is assumed for two stocks harvested by the same fishery.<br />

The optimal harvest rates are calculated as a function <strong>of</strong> the size <strong>of</strong> each<br />

stock, for a series <strong>of</strong> possible parameter values. The dynamic programming<br />

solution is similar to the fixed escapement policy only when the two stocks<br />

have similar Ricker parameters or when the two stocks are <strong>of</strong> equal size.<br />

Normally, one should harvest harder than calculated from fixed escapement<br />

analysis.<br />

Hilborn, Ray (1985). "Fleet Dynamics and Individual Variation: Why Some<br />

People Catch More Fish than Others." Canadian Journal <strong>of</strong><br />

Fisheries and Aquatic Science 42:2-13.<br />

Most <strong>fisheries</strong> problems arise from a failure to understand and manage<br />

fishermen, and that the study <strong>of</strong> fishermen should be a major part <strong>of</strong> <strong>fisheries</strong><br />

research. The dynamic behavior <strong>of</strong> fishing fleets can be broken into four<br />

components: investment, movement, catching power, and discarding. The<br />

<strong>literature</strong> in each area is reviewed and the needed research described. The<br />

second part <strong>of</strong> this paper examines the causes and consequences <strong>of</strong> individual<br />

variation in catch in a commercial purse seine fishery and a recreational hook<br />

and line fishery. It is shown that the catch is highly concentrated in the<br />

recreational fishery with a small proportion <strong>of</strong> frequent anglers catching a<br />

large portion <strong>of</strong> the fish. Catch is more equitable distributed in the purse<br />

seine fishery. The consequence <strong>of</strong> individual variation includes the<br />

observation that small annual bag limits in the sport fishery could reduce the<br />

total catch significantly while leaving most anglers unaffected and the fact<br />

that buy back <strong>of</strong> the most successful vessels would reduce the commercial catch<br />

by relatively little.<br />

Hilborn, Ray and Randall M. Peterman (1995). "The Development <strong>of</strong><br />

Scientific Advice with Incomplete Information in the Context <strong>of</strong><br />

the Precautionary Approach." TCPA/BP4, Technical Consultation on<br />

the Precautionary Approach to Capture Fisheries (TCPA), FAO<br />

Scientific Meeting, Lysekil, Sweden, May, 20 pp.<br />

Scientists and decision makers involved in <strong>fisheries</strong> management will<br />

always be faced with uncertainties and risks, yet decisions have to be made.<br />

We discuss seven sources <strong>of</strong> uncertainties and illustrate how these have<br />

affected the success or failure <strong>of</strong> past decisions in <strong>fisheries</strong> management. We<br />

then describe how scientists should incorporate information on uncertainties<br />

into the advice given to decision makers by using the formal techniques <strong>of</strong><br />

decision analysis and statistical power analysis. Despite the limitations <strong>of</strong><br />

quantitative techniques, these methods are the best way <strong>of</strong> informing decision<br />

3 0 8

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!