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Uncertainty and natural variability in the ecological footprint of fisheries: A case study of reduction fisheries for meal and oil

机译:渔业生态足迹的不确定性和自然变异性:以减少食用油和油脂的渔业为例

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It is well understood that measurements of ecological footprint and many other ecological indicators are associated with varying degrees of uncertainty, yet imprecision in ecological footprint results is rarely assessed or communicated. We calculated the marine portion of the ecological footprint of products derived from five reduction fisheries: Peruvian anchovy (Engraulis ringens), Atlantic herring (Clupea harengus), Gulf menhaden {Brevoortia patronus), blue whiting (Micromesistius poutassou) and Antarctic krill (Euphausia superba). Monte Carlo analysis was used to measure the imprecision in marine footprint measurements resulting from multiple sources of uncertainty and natural variability in input parameters, and to determine the degree to which imprecision affects our ability to draw meaningful conclusions when comparing products sourced from different fisheries on the basis of ecological footprint. Gulf menhaden and Antarctic krill were found to have the smallest marine footprints, while blue whiting was found to have the largest. Results show that there is much uncertainty associated with marine footprint calculations and that the most significant drivers of this imprecision are uncertainty and natural variability regarding measurements of trophic level and trophic interactions. Marine footprint is highly correlated with trophic level, and clear differences can be seen when comparing species of very different trophic levels. However, comparisons of products derived from species' with similar trophic levels are less likely to provide conclusive results. The choice of mass, protein or energy content as the basis of comparison was also considered and was found to influence the results, particularly when comparing species with similar trophic levels. While it is likely that imprecision of marine footprint measurements of fishery-derived products will remain high, technological improvements and a better understanding of marine ecosystem dynamics may make future studies more precise.
机译:众所周知,生态足迹和许多其他生态指标的测量结果具有不同程度的不确定性,但很少评估或传达生态足迹结果的不精确性。我们计算了以下五个减少渔业产品的生态足迹的海洋部分:秘鲁an鱼(Engraulis ringens),大西洋鲱鱼(Clupea harengus),海湾鲱鱼(Brevoortia patronus),蓝鳕鱼(Micromesistius poutassou)和南极磷虾(Euphausia superba) )。蒙特卡洛分析用于测量由于输入参数的不确定性和自然可变性的多种来源而导致的海洋足迹测量的不精确性,并确定不精确性影响我们在从不同渔业来源获取的产品进行比较时得出有意义的结论的能力的程度。生态足迹的基础。发现海湾鲱鱼和南极磷虾的海洋足迹最小,而蓝鳕鱼的海洋足迹最大。结果表明,与海洋足迹计算有关的不确定性很大,这种不精确性的最主要驱动因素是营养水平和营养相互作用测量的不确定性和自然变异性。海洋足迹与营养水平高度相关,在比较营养水平非常不同的物种时,可以看到明显的差异。但是,对具有类似营养水平的物种衍生产品的比较不太可能提供结论性结果。还考虑了质量,蛋白质或能量含量的选择作为比较的基础,并发现它们会影响结果,特别是在比较具有相似营养水平的物种时。尽管对源自渔业的产品进行海洋足迹测量的不精确性可能仍然很高,但技术进步和对海洋生态系统动力学的更好理解可能会使未来的研究更加精确。

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