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

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Physics, University <strong>of</strong> Maine, Orono, Me, May, 96 pp.<br />

Chaotic behavior occurs in a variety <strong>of</strong> physical, chemical and<br />

biological systems when a constraint is imposed on the total energy or mass <strong>of</strong><br />

the system. In population models, for example, this constraint can reflect an<br />

ecosystem's limited carrying capacity. The focus <strong>of</strong> this research is the<br />

onset <strong>of</strong> chaos in such systems, probed by simulating simple constrained<br />

dynamical models. The simulations track the time evolution <strong>of</strong> systems with<br />

characteristic input, amplification and dissipation terms, analogous to<br />

population models with birth, growth and mortality. These model features are<br />

chosen so that the system exhibits a stable steady-state solution in the<br />

absence <strong>of</strong> the constraint. When the constraint is implemented, we find that<br />

the qualitative features <strong>of</strong> the transition from regular to the qualitative<br />

features <strong>of</strong> the transition from regular to chaotic dynamics are extremely<br />

sensitive to the model dimensionality, and differ greatly from the widely<br />

studied period-doubling route to chaos exhibited by a large group <strong>of</strong> one<br />

dimensional nonlinear systems. In low dimensional cases, long periodic cycles<br />

are prevalent, whereas higher dimensional systems show intermittency preceding<br />

chaos. Fourier transforms <strong>of</strong> time series have been used to identify<br />

intermittent, quasiperiodic and chaotic regimes. Eigenvalue analysis in the<br />

vicinity <strong>of</strong> fixed solutions indicates that a wide range <strong>of</strong> biological inputs<br />

that do not yield chaos in conventional population models do generate chaotic<br />

dynamics once the carrying capacity is incorporated into the model.<br />

Characteristics <strong>of</strong> the onset <strong>of</strong> chaos observed in these models could be<br />

relevant to other problems with similar types <strong>of</strong> constraints, such as<br />

turbulence and multistep chemical reactions.<br />

Samples, Karl C. and Richard C. Bishop (1985). "Estimating the Value <strong>of</strong><br />

Variations in Anglers' Success Rates: An Application <strong>of</strong> the<br />

Multiple-Site Travel Cost Method." Marine Resource Economics,<br />

2(1):55-74.<br />

An estimation method is presented to measure sport fishermen's valuation<br />

<strong>of</strong> exogenous changes in fishing quality (catch rates). A theoretical model is<br />

initially presented to show how variations in prevailing catch rates influence<br />

an angler's valuation <strong>of</strong> recreational fishing. A two-stage estimation<br />

approach is suggested that capitalizes on the notion that angler consumer<br />

surplus is sensitive to changes in success rates. The procedure entails first<br />

estimating sportfishing values at qualitatively different fishing sites using<br />

a multiple-site travel cost approach. Afterward, the sensitivity <strong>of</strong> estimated<br />

values to different success rate levels is measured using a separate<br />

regression procedure. An empirical application <strong>of</strong> this two-stage method to<br />

Lake Michigan sportfishing is given. It is estimated that for Lake Michigan<br />

anglers who fish for trout and salmon, a 10% increase in success rates will<br />

increase average trip values by $0.30.<br />

Samples, Karl C. and John T. Sproul (1985). "Fish Aggregating Devices<br />

and Open-Access Commercial Fisheries: A Theoretical Inquiry."<br />

Bulletin <strong>of</strong> Marine Science, 37(1):305-317.<br />

This paper explores the economic consequences <strong>of</strong> deploying fish<br />

aggregating devices (FADs) in developed open access or common property<br />

commercial <strong>fisheries</strong>. The objective is to understand how FAD installation can<br />

be expected to influence sustained gross revenues (sustained harvests),<br />

employment and fishermen's pr<strong>of</strong>its over the long run. A Mathematical<br />

bioeconomic model is presented that illuminates the biological interdependence<br />

between fishing that occurs at FAD locations and fishing that is directed at a<br />

background fish stock. Two models <strong>of</strong> biological interaction are considered.<br />

Model A assumes that high levels <strong>of</strong> FAD fishing effort will not reduce the<br />

5 8 3

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

Saved successfully!

Ooh no, something went wrong!