Climate Change Institute, University of Maine, Orono, Maine 04469, USA.
Ecology. 2012 Oct;93(10):2155-64. doi: 10.1890/11-2218.1.
Over the 20th century, surface water temperatures have increased in many lake ecosystems around the world, but long-term trends in the vertical thermal structure of lakes remain unclear, despite the strong control that thermal stratification exerts on the biological response of lakes to climate change. Here we used both neo- and paleoecological approaches to develop a fossil-based inference model for lake mixing depths and thereby refine understanding of lake thermal structure change. We focused on three common planktonic diatom taxa, the distributions of which previous research suggests might be affected by mixing depth. Comparative lake surveys and growth rate experiments revealed that these species respond to lake thermal structure when nitrogen is sufficient, with species optima ranging from shallower to deeper mixing depths. The diatom-based mixing depth model was applied to sedimentary diatom profiles extending back to 1750 AD in two lakes with moderate nitrate concentrations but differing climate settings. Thermal reconstructions were consistent with expected changes, with shallower mixing depths inferred for an alpine lake where treeline has advanced, and deeper mixing depths inferred for a boreal lake where wind strength has increased. The inference model developed here provides a new tool to expand and refine understanding of climate-induced changes in lake ecosystems.
在 20 世纪,世界上许多湖泊生态系统的地表水温度都有所上升,但由于热分层对湖泊对气候变化的生物响应有很强的控制作用,因此湖泊垂直热结构的长期趋势仍不清楚。在这里,我们使用新的和古生态学方法来开发基于化石的湖泊混合深度推断模型,从而深化对湖泊热结构变化的理解。我们专注于三种常见的浮游硅藻分类群,先前的研究表明,它们的分布可能受到混合深度的影响。比较湖泊调查和生长率实验表明,当氮充足时,这些物种会对湖泊的热结构产生反应,物种最佳生长范围从较浅的混合深度到较深的混合深度。硅藻基混合深度模型应用于沉积物硅藻剖面,这些剖面可以追溯到 1750 年 AD 在两个硝酸盐浓度适中但气候条件不同的湖泊中。热重建与预期的变化一致,在林线推进的高山湖泊中推断出较浅的混合深度,在风力增强的北方湖泊中推断出较深的混合深度。这里开发的推断模型提供了一个新工具,可以扩展和深化对湖泊生态系统中气候引起的变化的理解。