Sundblad Göran, Bergström Lena, Söderqvist Tore, Bergström Ulf
Department of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences (SLU), Stångholmsvägen 2, 178 93, Drottningholm, Sweden.
Department of Aquatic Resources, Institute of Coastal Research, Swedish University of Agricultural Sciences (SLU), Skolgatan 6, 742 42, Öregrund, Sweden.
Ambio. 2020 May;49(5):1090-1099. doi: 10.1007/s13280-019-01263-1. Epub 2019 Oct 9.
Improving water clarity is a core objective for eutrophication management in the Baltic Sea, but may influence fisheries via effects on fish habitat suitability. We apply an ensemble of species distribution models coupled with habitat productivity functions and willingness-to-pay estimates to assess these effects for two coastal predatory fish species, European perch (Perca fluviatilis) and pikeperch (Sander lucioperca). The models predicted a 37% increase in perch and 59% decrease in pikeperch biomass if reaching the reference level for water clarity in the Baltic Sea Action Plan. Reaching the target level was predicted to increase perch biomass by 13%. However, the associated economic gain for the recreational fisheries sector was countervailed by an 18% pikeperch reduction. Still, a net benefit was predicted since there are six times more fishing days for perch than pikeperch. We exemplify how ecological modelling can be combined with economic analyses to map and evaluate management alternatives.
改善水体透明度是波罗的海富营养化管理的核心目标,但这可能会通过影响鱼类栖息地适宜性对渔业产生影响。我们应用一系列物种分布模型,结合栖息地生产力函数和支付意愿估计,来评估这对两种沿海掠食性鱼类——欧洲鲈鱼(河鲈)和梭鲈的影响。模型预测,如果达到《波罗的海行动计划》中的水体透明度参考水平,鲈鱼生物量将增加37%,梭鲈生物量将减少59%。预计达到目标水平将使鲈鱼生物量增加13%。然而,休闲渔业部门的相关经济收益被梭鲈数量减少18%所抵消。不过,由于鲈鱼的捕鱼天数是梭鲈的六倍,预计仍会有净收益。我们举例说明了如何将生态建模与经济分析相结合,以绘制和评估管理方案。