Conserving wild fisheries requires identifying and monitoring distinct populations, yet prevalent genetic approaches often do not integrate habitat data and may not fully delineate these structures. This issue is critical in sea/river‐type sockeye salmon (Oncorhynchus nerka), an ecotype whose specific spawning habitats better define distinct breeding populations. Despite possessing traits that confer greater resilience to climate change and significant contributions to wild fisheries, gene flow among groups dilutes genetic structure, making it difficult to track populations. We focus on sea/river sockeye from one of the Pacific Rim's largest Sockeye fisheries, combining river strontium (Sr) isotope predictions, otolith Sr isotope measurements, and a Bayesian assignment model with a 4‐yr radiotelemetry and genetic dataset (n = 1994) to delineate the geographic structure of spawning habitats. Our results identify four distinct subpopulations with unique natal habitat Sr isotope ratios previously undifferentiated by genetic methods, providing a novel approach to monitor critical groups over multiple years.

中文翻译：

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描绘有弹性的海/河型红鲑鱼的种群结构


保护野生渔业需要识别和监测不同的种群，但流行的遗传方法通常不会整合栖息地数据，也可能无法完全描述这些结构。这个问题对于海/河型红鲑鱼（Oncorhynchus nerka）来说至关重要，这种生态型的特定产卵栖息地更好地定义了不同的繁殖种群。尽管具有对气候变化具有更大适应能力并对野生渔业做出重大贡献的特征，但群体之间的基因流动稀释了遗传结构，使得追踪种群变得困难。我们重点关注来自环太平洋地区最大的红鲑渔业之一的海/河红红鲑，结合河流锶 (Sr) 同位素预测、耳石 Sr 同位素测量以及带有 4 年无线电遥测和遗传数据集的贝叶斯分配模型（n = 1994）描绘产卵栖息地的地理结构。我们的结果确定了四个不同的亚群，这些亚群具有独特的出生栖息地锶同位素比率，以前未通过遗传方法进行区分，为多年来监测关键群体提供了一种新方法。