Laugen Ane T, Engelhard Georg H, Whitlock Rebecca, Arlinghaus Robert, Dankel Dorothy J, Dunlop Erin S, Eikeset Anne M, Enberg Katja, Jørgensen Christian, Matsumura Shuichi, Nusslé Sébastien, Urbach Davnah, Baulier Loїc, Boukal David S, Ernande Bruno, Johnston Fiona D, Mollet Fabian, Pardoe Heidi, Therkildsen Nina O, Uusi-Heikkilä Silva, Vainikka Anssi, Heino Mikko, Rijnsdorp Adriaan D, Dieckmann Ulf
Swedish University of Agricultural Sciences, Department of Ecology, Box 7044, SE-75643, Uppsala, Sweden ; IFREMER, Laboratoire Ressources Halieutiques, Avenue du Général de Gaulle, F-14520, Port-en-Bessin, France.
Centre for Environment, Fisheries & Aquaculture Science (Cefas), Pakefield Road, Lowestoft, NR33 0HT, UK.
Fish Fish (Oxf). 2014 Mar;15(1):65-96. doi: 10.1111/faf.12007. Epub 2012 Dec 20.
Managing fisheries resources to maintain healthy ecosystems is one of the main goals of the ecosystem approach to fisheries (EAF). While a number of international treaties call for the implementation of EAF, there are still gaps in the underlying methodology. One aspect that has received substantial scientific attention recently is fisheries-induced evolution (FIE). Increasing evidence indicates that intensive fishing has the potential to exert strong directional selection on life-history traits, behaviour, physiology, and morphology of exploited fish. Of particular concern is that reversing evolutionary responses to fishing can be much more difficult than reversing demographic or phenotypically plastic responses. Furthermore, like climate change, multiple agents cause FIE, with effects accumulating over time. Consequently, FIE may alter the utility derived from fish stocks, which in turn can modify the monetary value living aquatic resources provide to society. Quantifying and predicting the evolutionary effects of fishing is therefore important for both ecological and economic reasons. An important reason this is not happening is the lack of an appropriate assessment framework. We therefore describe the evolutionary impact assessment (EvoIA) as a structured approach for assessing the evolutionary consequences of fishing and evaluating the predicted evolutionary outcomes of alternative management options. EvoIA can contribute to EAF by clarifying how evolution may alter stock properties and ecological relations, support the precautionary approach to fisheries management by addressing a previously overlooked source of uncertainty and risk, and thus contribute to sustainable fisheries.
管理渔业资源以维护健康的生态系统是渔业生态系统方法(EAF)的主要目标之一。尽管一些国际条约呼吁实施渔业生态系统方法,但在其基础方法上仍存在差距。最近受到大量科学关注的一个方面是渔业诱导的进化(FIE)。越来越多的证据表明,高强度捕捞有可能对被捕捞鱼类的生活史特征、行为、生理和形态施加强烈的定向选择。特别令人担忧的是,扭转对捕捞的进化反应可能比扭转种群统计学或表型可塑性反应困难得多。此外,与气候变化一样,多种因素导致渔业诱导的进化,其影响会随着时间积累。因此,渔业诱导的进化可能会改变从鱼类种群中获得的效用,进而改变水生生物资源为社会提供的货币价值。因此,出于生态和经济原因,量化和预测捕捞的进化影响都很重要。目前尚未做到这一点的一个重要原因是缺乏适当的评估框架。因此,我们将进化影响评估(EvoIA)描述为一种结构化方法,用于评估捕捞的进化后果,并评估替代管理方案的预测进化结果。进化影响评估可以通过阐明进化如何改变种群特征和生态关系,为渔业生态系统方法做出贡献;通过解决一个以前被忽视的不确定性和风险来源,支持渔业管理的预防性方法,从而有助于实现可持续渔业。