Evaluating environmental and economic implications of management measures for the UK scallop fishery
Evaluating environmental and economic implications of management measures for the UK scallop fishery
批准号:
2890722
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
拟议研究摘要(最多500字):扇贝部门是英国价值最高的商业渔业之一,支持生产性捕捞部门和加工商。尽管有经济上的相关性,但英国的扇贝渔业缺乏健全的管理制度来规范努力和上岸,并将对目标和非目标物种的影响降至最低。在缺乏促进经济和捕捞效率的适当渔业管理措施的情况下,捕鱼变成了疯狂的过度资本鱼类竞赛。英国退出欧盟意味着一个机会,可以优先考虑和重组未来的渔业管理。该项目将评估不同捕捞策略和管理措施对英国扇贝渔业的环境、经济和社会影响。第一章旨在建立英国扇贝评估区扇贝种群动态模型。第2章将结合基于案头的研究和对渔民的调查,确定渔民空间行为的驱动因素(社会、环境和经济)及其对扇贝种群管理措施的偏好。第三章和第四章将对扇贝疏浚船队的一系列管理方案进行生物经济评估和环境后果。PHD将利用几个不同的数据集和资源,包括(但不限于)英国扇贝种群评估数据、捕捞努力和上岸数据集、经济船队数据,以了解固定和可变成本,政府间气候变化专门委员会的温室气体清单数据库,以计算温室气体排放量,以及海底沉积生境图。通过博士学位获得的知识将有助于为未来的渔业管理决策提供参考,以改善扇贝种群的管理,同时还考虑到不同管理措施对英国水域商业捕鱼船队的环境和经济影响。
英文摘要
Summary of Proposed Research (MAX 500 words):The scallop sector is one of the highest value commercial fisheries in the UK and supports a productive catch sector and processor businesses. Despite their economic relevance, the UK scallop fisheries lack robust management regimes to regulate effort and landings and minimize impacts on target and non-target species. In the absence of appropriate fisheries management measures that promote economic and harvesting efficiency, fishing becomes a frantic overcapitalized race for fish. The UK's withdrawal from the EU represents an opportunity to prioritise and re-structure future fisheries management. This project will assess the environmental, economic and social consequences of different harvest strategies and management measures for the UK scallop fishery. Chapter 1 will aim to develop a population dynamic model for king scallop (Pecten maximus) in UK scallop assessment areas. Chapter 2 will determine the drivers (social, environmental and economic) of fishers' spatial behaviour and their preference for management measures of scallop stocks using a combination of desk-based research and surveys with fishers. Chapters 3 and 4 will carry out bioeconomic evaluations and environmental consequences of a range of management scenarios for the scallop dredging fleet. The PhD will utilise several different datasets and resources including (but not limited to), UK scallop stock assessment data, fishing effort and landings datasets, and economics fleet data to understand fixed and variable costs, GHG inventory databases from the IPCC to calculate GHG emissions, and benthic sedimentary habitat maps. The knowledge gained through this PhD will help inform future fisheries management decisions to improve the management of scallop stocks, whilst also taking into consideration the environmental and economic implications of different management measures for the commercial fishing fleets in UK waters.
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