Can global aquaculture growth help to conserve wild fish stocks? Theory and empirical analysis

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
C. Bogmans, D. Soest
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引用次数: 1

Abstract

Can fed aquaculture growth alleviate overfishing and foster the conservation of wild fish stocks? To examine this question we present a stylized fishery model of trade in edible fish and fishmeal that incorporates both market linkages and biological (predator–prey) linkages between the aquaculture sector and capture fisheries. We study the effects of local aquaculture growth, as induced by an increase in aquaculture feed‐efficiency (technology shock), and of external or global aquaculture growth as experienced by either a drop in the price of edible fish or as an increase in the price of fishmeal (price shocks). While domestic (or “local”) aquaculture growth increases wild fish stocks due to positive market interactions, the effects of external (or “global”) aquaculture growth are generally ambiguous and depend on the strength of biological linkages. A stylized empirical application of the cod (predator) and capelin (prey) fisheries in the Barents Sea illustrates that the biological linkages between cod and capelin reduce the positive impact of aquaculture on cod conservation roughly by 50%.
全球水产养殖的增长是否有助于保护野生鱼类种群?理论与实证分析
水产养殖的增长能否缓解过度捕捞,促进野生鱼类种群的保护?为了研究这个问题,我们提出了一个可食用鱼类和鱼粉贸易的程式化渔业模型,该模型结合了水产养殖部门和捕捞渔业之间的市场联系和生物(捕食者-猎物)联系。我们研究了当地水产养殖增长的影响,如水产养殖饲料效率的提高(技术冲击),以及外部或全球水产养殖增长对食用鱼价格下降或鱼粉价格上涨的影响(价格冲击)。虽然国内(或“本地”)水产养殖的增长由于积极的市场互动而增加了野生鱼类种群,但外部(或“全球”)水产养殖业增长的影响通常是模糊的,取决于生物联系的强度。巴伦支海鳕鱼(捕食者)和刺山柑(猎物)渔业的程式化经验应用表明,鳕鱼和刺山槟榔之间的生物联系将水产养殖对鳕鱼保护的积极影响降低了约50%。
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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