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A Multitracer Approach to Quantifying Resource Utilization Strategies in Lake Trout Populations in Lake Huron

机译:量化休伦湖鳟鱼种群资源利用策略的多示踪方法

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Lake ecosystems are threatened by an array of stressors. An understanding of how food webs and bioaccumulation dynamics respond to these challenges requires the quantification of energy flow. We present a combined, multitracer approach using both polychlorinated biphenyls (PCBs) and stable isotopes to trace energy flow, and to quantify how lake trout feeding strategies have adapted to changes in food web structure in 3 basins of Lake Huron (ON, Canada). This combined tracer approach allows the quantification of dietary proportions (using stable isotopes), which are then integrated using a novel PCB tracer approach that employs knowledge of PCB bioaccumulation pathways, to estimate consumption and quantify energy flow between age cohorts of individual fish across Lake Huron. We observed basin-specific differences in ultimate energy sources for lake trout, with Georgian Bay lake trout deriving almost 70% of their energy from benthic resources compared with 16 and 33% for Main Basin and North Channel lake trout, respectively. These differences in resource utilization are further magnified when they are contrasted with age. The dependency on pelagic energy sources in the Main Basin and North Channel suggests that these populations will be the most negatively affected by the ongoing trophic collapse in Lake Huron. Our study demonstrates the utility of a multitracer approach to quantify the consequences of food web adaptations to changes in aquatic ecosystems. Environ Toxicol Chem 2019;38:1245-1255. (c) 2019 SETAC
机译:湖泊生态系统受到各种压力的威胁。要了解食物网和生物蓄积动态如何应对这些挑战,就需要对能量流进行量化。我们提出了一种使用多氯联苯(PCBs)和稳定同位素的多示踪剂组合方法来追踪能量流,并量化休伦湖3个盆地(加拿大安大略省)的湖泊鳟鱼饲养策略如何适应食物网结构的变化。这种组合的示踪剂方法可以量化饮食比例(使用稳定的同位素),然后使用一种新颖的PCB示踪剂方法进行整合,该方法利用了PCB的生物积累途径知识,以估算消耗量并量化休伦湖各个鱼类年龄组之间的能量流。我们观察到湖鳟的最终能源来源因流域而异,佐治亚湾海湾鳟鱼的底栖资源约占能源的70%,而主盆地和北海道鳟鱼则分别为16%和33%。当与年龄进行对比时,资源利用的这些差异会进一步放大。对主盆地和北海道中上层能源的依赖性表明,这些人口将受到休伦湖持续的营养崩溃的负面影响。我们的研究表明,多示踪法可用于量化食物网适应对水生生态系统变化的影响。 Environ Toxicol Chem 2019; 38:1245-1255。 (c)2019年SETAC

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