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Ballagh A.C.,James Cook University | Welch D.,James Cook University | Welch D.,Australian Department of Primary Industries and Fisheries | Williams A.J.,James Cook University | And 3 more authors.
Fishery Bulletin | Year: 2011

Fish growth is commonly estimated from length-at-age data obtained from otoliths. There are several techniques for estimating length-at-age from otoliths including 1) direct observed counts of annual increments; 2) age adjustment based on a categorization of otolith margins; 3) age adjustment based on known periods of spawning and annuli formation; 4) back-calculation to all annuli, and 5) back-calculation to the last annulus only. In this study we compared growth estimates (von Bertalanffy growth functions) obtained from the above five methods for estimating length-at-age from otoliths for two large scombrids: narrow-barred Spanish mackerel (Scomberomorus commerson) and broad-barred king mackerel (Scomberomorus semifasciatus). Likelihood ratio tests revealed that the largest differences in growth occurred between the back-calculation methods and the observed and adjusted methods for both species of mackerel. The pattern, however, was more pronounced for S. commerson than for S. semifasciatus, because of the pronounced effect of gear selectivity demonstrated for S. commerson. We propose a method of substituting length-at-age data from observed or adjusted methods with back-calculated length-at-age data to provide more appropriate estimates of population growth than those obtained with the individual methods alone, particularly when faster growing young fish are disproportionately selected for. Substitution of observed or adjusted length-at-age data with back-calculated length-at-age data provided more realistic estimates of length for younger ages than observed or adjusted methods as well as more realistic estimates of mean maximum length than those derived from backcalculation methods alone.


Pascoe S.,CSIRO | Vieira S.,Resource Capital | Dichmont C.M.,CSIRO | Punt A.E.,CSIRO | Punt A.E.,University of Washington
Australian Journal of Agricultural and Resource Economics | Year: 2011

Individual transferable quotas (ITQs) are to be introduced into Australia's Northern Prawn fishery in the near future. Total allowable catches (TACs) are to be set with the objective of maximising economic efficiency in the fishery. Under ITQs, vessel owners have the ability to adjust their fishing activities to maximise profits and changes in fleet structure resulting from management changes need to be considered when determining TACs. A restricted profit function for the fishery was estimated to determine the optimal vessel characteristics and output levels as a guide to how the fleet may adjust under an ITQ system. Vessels were found to be currently close to their optimal size given average historic prices and current stock conditions. However, higher tiger prawn stocks are expected to result in the average size of vessels increasing, with rising fuel prices also likely to result in capital being substituted for fishing days. Optimal average vessel-level catches of the main species are lower than current average vessel catches for a wide range of input and output prices. These changes in vessel characteristics and behaviour need to be incorporated in the derivation of the optimal TACs if economic efficiency objectives are to be achieved. © 2011 The Authors. AJARE © 2011 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd.


Hyman L.S.,Resource Capital | Schuler R.E.,Cornell University
Proceedings of the Annual Hawaii International Conference on System Sciences | Year: 2014

Electricity industry restructuring in both the United Kingdom and the United States failed to produce the expected lower prices to consumers, and the industry now is reverting to regulatory-like mechanisms to attract capital for the construction of new power plants. This analysis focuses on factors, unanticipated by system-analysts and policy-makers, which may be responsible for these outcomes. © 2014 IEEE.


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Resource Capital | Date: 2015-02-05

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