Fisheries Management And Evaluation Plan

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ISBN 13 : 9789279447105
Total Pages : 27 pages
Book Rating : 4.4/5 (471 download)

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Download or read book Evaluation and Design of Fisheries Management Plans written by and published by . This book was released on 2014 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and implementation of fisheries management plans can be expensive and time consuming. It is therefore essential to be able to determine if a plan has been effective in achieving its objectives. When the objectives of a management plan have been achieved (for example F, has been reduced to below some threshold level) it is important to determine if it was as a direct result of elements of the plan (for example, TAC restricting fishing mortality) or because of an external factor that was not included or considered by the plan (for example, fuel price rises causing a reduction in fishing effort). In the former case, we want to be able to understand which aspects of a management plan were effective so they can be considered in the design for future plans. In the latter case, there is the possibility of falsely attributing success to aspects of a plan that had no impact, thereby needlessly including them in the design of future plans.^These issues can become more complicated in mixed fisheries where multiple gear types catch multiple stocks because interactions between the different biological and economic elements are not straightforward. To allow the evaluation of fisheries management plans it is necessary to develop and test biological and economic indicators. In this study we investigate potential indicators for evaluating the impact of management measures on the dynamics of fisheries and stocks subject to management plans. One approach of doing this is to look at the relationships between a range of biological, economic and management variables from a selection of stocks and fleets in the area. We expect many relationships in fisheries to be non-linear (for example, those between fishing effort and fishing mortality).^Distance correlation is more useful than standard correlation for detecting non-linear associations between variables, particularly in terms of avoiding both Type I and Type II errors and so distance correlation should be preferred to standard correlation for investigating these relationships. We go on to apply to these methods using sole in the Western Channel mixed fishery as a case study. Further analyses will be possible by linking economic and landings data through transversal variables. For example, it will be interesting to investigate the associations between effort, variables costs and fishing mortality of the larger vessels, the reduction of which has been suggested as a key factor in the decrease of fishing mortality on sole.