School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195-5020, USA.
Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1750-5. doi: 10.1073/pnas.1212858110. Epub 2013 Jan 15.
Observational data from the past century have highlighted the importance of interdecadal modes of variability in fish population dynamics, but how these patterns of variation fit into a broader temporal and spatial context remains largely unknown. We analyzed time series of stable nitrogen isotopes from the sediments of 20 sockeye salmon nursery lakes across western Alaska to characterize temporal and spatial patterns in salmon abundance over the past ∼500 y. Although some stocks varied on interdecadal time scales (30- to 80-y cycles), centennial-scale variation, undetectable in modern-day catch records and survey data, has dominated salmon population dynamics over the past 500 y. Before 1900, variation in abundance was clearly not synchronous among stocks, and the only temporal signal common to lake sediment records from this region was the onset of commercial fishing in the late 1800s. Thus, historical changes in climate did not synchronize stock dynamics over centennial time scales, emphasizing that ecosystem complexity can produce a diversity of ecological responses to regional climate forcing. Our results show that marine fish populations may alternate between naturally driven periods of high and low abundance over time scales of decades to centuries and suggest that management models that assume time-invariant productivity or carrying capacity parameters may be poor representations of the biological reality in these systems.
过去一个世纪的观测数据强调了鱼类种群动态中年代际变化模式的重要性,但这些变化模式如何适应更广泛的时间和空间背景在很大程度上仍不清楚。我们分析了来自阿拉斯加西部 20 个红大麻哈鱼育肥湖沉积物中的稳定氮同位素时间序列,以描述过去约 500 年来鲑鱼丰度的时间和空间模式。尽管一些种群存在年代际变化(30-80 年周期),但过去 500 年来,百年尺度的变化(在现代捕捞记录和调查数据中无法检测到)一直主导着鲑鱼种群动态。在 1900 年之前,各种群的丰度变化显然不同步,而且该地区湖底沉积物记录中唯一共同的时间信号是 19 世纪后期商业捕鱼的开始。因此,历史气候变化并没有在百年时间尺度上使种群动态同步,这强调了生态系统的复杂性可以产生多种对区域气候驱动的生态响应。我们的研究结果表明,海洋鱼类种群可能会在数十年到数百年的时间尺度上交替出现自然驱动的高丰度和低丰度时期,并表明假设生产力或承载能力参数不变的管理模型可能无法很好地反映这些系统中的生物现实。