Historical trophic structure of two diadromous fish species using compound specific isotope analysis of archived tissue

水栖鱼类(在淡水和咸水之间迁徙)，如大西洋鲑鱼和斑点石斑鱼， 对加拿大来说，它们的生态、经济、文化和人类生存价值都很重要。在……里面 近几十年来，重返米拉米奇河的大西洋鲑鱼数量降至历史低点， 而斑点黑鱼的丰度则出现了戏剧性的回升。这些变化的原因尚不清楚。 部分原因是这些鱼类种群的摄食生态学历史还没有被很好地理解。我们的项目 将揭示这两个捕食性物种的取食地位的历史与崛起和强大 实验室方法称为化合物特定氨基酸同位素分析(CSIA-AA)。我们的 联盟利用蒙克顿大学最先进的实验室技术和设备，以及 现有的加拿大长期渔业和海洋组织(DFO)大西洋鲑鱼和大马哈鱼的规模档案(1960-2019年) 来自米拉米奇河的条纹鱼。这个联盟将加入DFO科学家和来自 蒙克顿大学合作推进CSIA-AA在饲料生态学研究中的应用。这个 合作伙伴和合作者具有不同的科学背景，这是一个机会 创新和培训。学员将获得在新不伦瑞克独一无二的高级技能。这个 从这项工作中获得的知识将是新颖和及时的，因为利益攸关方要求渔业管理 在他们的决策中考虑更多的环境信息。此外，CSIA-AA具有广阔的前景 作为示踪剂应用于许多领域。

Diadromous fishes (migratory between freshwater and saltwater), such as Atlantic Salmon and Striped Bass, are important to Canada for their ecological as well as economic, cultural, and human subsistence value. In recent decades, the number of Atlantic Salmon returning to the Miramichi River has declined to historic lows, whereas Striped Bass abundance has had a dramatic recovery. The causes of these variations remain unknown in part because the history of the feeding ecology of these fish populations is not well understood. Our project will reveal the history of the feeding position of these two predatory species with an emerging and powerful laboratory approach referred to as compound-specific isotopic analysis of amino acids (CSIA-AA). Our alliance capitalizes on state-of-the-art lab techniques and equipment from Université de Moncton and on an existing long-term Fisheries and Oceans Canada (DFO) scale archive (1960-2019) of Atlantic salmon and Striped Bass from the Miramichi River. This alliance will join DFO scientists with analytical chemists from Université de Moncton in collaboration to advance the application of CSIA-AA to study feeding ecology. The diverse scientific backgrounds of the partners and collaborators involved represent an opportunity for innovation and training. Trainees will acquire advanced skills that will be unique in New Brunswick. The knowledge gained from this work will be novel and timely as stakeholders demand that fisheries management consider more environmental information in their decision making. Further, CSIA-AA has a promising future as a tracer with applications to many fields.