海洋浮游植物的扩散、漩涡和多样性

Sophie Clayton, Stephanie Dutkiewicz, Oliver Jahn, Michael J. Follows
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引用次数: 86

摘要

我们在允许涡流和粗分辨率的全球海洋模拟背景下研究了物理扩散在调节海洋浮游植物多样性模式中的作用。在更高分辨率的模型中,更快的水流速度、更快的扩散速度和更高的环境可变性几乎在任何地方都增强了当地的多样性。在数值模拟中,每种已解决的浮游植物类型在任何地理位置都被描述为“局部适应”(即具有本地净生物生产和实物出口)或“移民”(即本地净生物损失,但通过实物运输移民维持种群)。在赤道和亚热带地区,移民占总多样性的比例更高,在这些地区,排斥时间尺度相对于“省”之间的物理运输要长。多样性热点与西部边界流和沿海上升流区有关。前者在当前系统的核心内具有高度的局部适应多样性,通过上游种群的融合和营养资源的诱导以及与中尺度涡旋相关的环境变异来维持。在强大的营养来源下游,人口的趋同导致了移民主导的多样性。数值模拟提供了多样性模式的可测试预测和关于控制它们的机制的假设。表征微生物种群多样性的分子方法将为检验这些假设提供一种手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dispersal, eddies, and the diversity of marine phytoplankton

Dispersal, eddies, and the diversity of marine phytoplankton

We examined the role of physical dispersal in regulating patterns of diversity of marine phytoplankton in the context of global ocean simulations at eddy-permitting and coarse resolutions. Swifter current speeds, faster dispersal, and increased environmental variability in the higher-resolution model enhanced local diversity almost everywhere. In the numerical simulations, each resolved phytoplankton type was characterized as “locally adapted” at any geographical location (i.e., having net local biological production and physical export) or “immigrant” (i.e., net local biological loss but a population sustained by immigration via physical transport). Immigrants accounted for a higher fraction of the total diversity in the equatorial and subtropical regions, where the exclusion timescale is long relative to the physical transport between “provinces.” Hotspots of diversity were associated with western boundary currents and coastal upwelling regions. The former had high locally adapted diversity within the core of the current system, maintained by confluence of upstream populations and the induction of nutrient resources, as well as environmental variability associated with mesoscale eddies. Downstream of strong nutrient sources, convergence of populations led to immigrant-dominated diversity. The numerical simulations provide testable predictions of patterns in diversity and hypotheses regarding the mechanisms that control them. Molecular approaches to characterizing diversity in microbial populations will provide a means to test these hypotheses.

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