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

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Southeast Fisheries Center, 75 Virginia Beach Drive, Miami,<br />

Florida and Cooperative Institute for Marine and Atmospheric<br />

Studies, Rosenstiel School <strong>of</strong> Marine and Atmospheric Science,<br />

University <strong>of</strong> Miami, 4600 Rickenbacker Causeway, Miami, Florida.<br />

Swordfish catch, size, and effort data collected from the U.S. longline<br />

fleet operating over a wide geographical range <strong>of</strong> the western North Atlantic<br />

Ocean were used to develop age-specific indices <strong>of</strong> abundance <strong>of</strong> north Atlantic<br />

swordfish. Standardized catch rates were estimated using the General Linear<br />

Modeling approach.<br />

Scott, Gerald P., Douglas M. Burn, Larry J. Hansen, and Ralph E. Owen<br />

(1989). "Estimates <strong>of</strong> Bottlenose Dolphin Abundance in the Gulf <strong>of</strong><br />

Mexico from Regional Aerial Surveys." Draft report, NMFS, SEFC,<br />

Miami Laboratory, Coastal Resources Division, Contribution Number<br />

CRD-88/89-07, 75 Virginia Beach Drive, Miami, FL 33149, February,<br />

pp. 24.<br />

Aerial sampling surveys <strong>of</strong> the U.S. Gulf <strong>of</strong> Mexico were conducted<br />

between September 1983 and February 1986. Seasonal sampling <strong>of</strong> the 359,000<br />

square kilometer study area was completed to allow estimation <strong>of</strong> the regional<br />

abundance <strong>of</strong> bottlenose dolphins (Tursiops truncatus). Under the assumption<br />

<strong>of</strong> no net movement between sampling regions and sampling periods it was<br />

estimated on average between 35,000 and 45,000 bottlenose dolphins may live in<br />

U.S. Gulf <strong>of</strong> Mexico waters <strong>of</strong> depths 183 m or less. The dominant proportion<br />

<strong>of</strong> these animals appear to inhabit waters <strong>of</strong> greater than 18.3 m. The data<br />

were stratified to allow estimates sufficient for quota recommendations for<br />

managing the live capture fishery for bottlenose dolphins in the Gulf <strong>of</strong><br />

Mexico.<br />

Searle, S.R. (1971). Linear Models. John Wiley & Sons, New York.<br />

This book describes general procedures <strong>of</strong> estimation and hypothesis<br />

testing for linear statistical models and shows their application for<br />

unbalanced data (i.e., unequal subclass numbers data) to certain specific<br />

models that <strong>of</strong>ten arise in research and survey work. In addition, three<br />

chapters are devoted to methods and results for estimating variance<br />

components, particularly from unbalanced data. Balanced data for the kind<br />

usually arising from designed experiments are treated very briefly, as just<br />

special cases <strong>of</strong> unbalanced data. Emphasis on unbalanced data is the backbone<br />

<strong>of</strong> the book, designed to assist those whose data cannot satisfy the strictures<br />

<strong>of</strong> carefully managed and well designed experiments.<br />

Seber, G.A.F. and C.J. Wild (1989). "Prediction and Transformation<br />

Bias." Section 2.8.7 in Nonlinear Regression, John Wiley & Sons,<br />

New York.<br />

Correcting for transformation bias when predicting the value <strong>of</strong> the<br />

dependent variable using inherently linear models.<br />

Sedjo, Roger A. (1995). Ecosystem Management: An Uncharted Path for Public<br />

Forests. Resources, Fall, 4 pp.<br />

Ecosystem management ignores the social consensus implicit in a<br />

legislated objective <strong>of</strong> producing multiple forest outputs and, instead,<br />

attempts to achieve some arbitrary forest condition about which society has<br />

little say.<br />

Segerson, Kathleen (1987). "Risk-Sharing and Liability in the Control<br />

5 9 8

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