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追踪海洋生物的长距离扩散:对海洋模型分辨率的敏感性。

Tracking the long-distance dispersal of marine organisms: sensitivity to ocean model resolution.

机构信息

Initiative for Biological Complexity, North Carolina State University, Raleigh, NC 27695, USA.

出版信息

J R Soc Interface. 2013 Jan 24;10(81):20120979. doi: 10.1098/rsif.2012.0979. Print 2013 Apr 6.

Abstract

Ocean circulation models are widely used to simulate organism transport in the open sea, where challenges of directly tracking organisms across vast spatial and temporal scales are daunting. Many recent studies tout the use of 'high-resolution' models, which are forced with atmospheric data on the scale of several hours and integrated with a time step of several minutes or seconds. However, in many cases, the model's outputs that are used to simulate organism movement have been averaged to considerably coarser resolutions (e.g. monthly mean velocity fields). To examine the sensitivity of tracking results to ocean circulation model output resolution, we took the native model output of one of the most sophisticated ocean circulation models available, the Global Hybrid Coordinate Ocean Model, and averaged it to commonly implemented spatial and temporal resolutions in studies of basin-scale dispersal. Comparisons between simulated particle trajectories and in situ near-surface drifter trajectories indicated that 'over averaging' model output yields predictions inconsistent with observations. Further analyses focused on the dispersal of juvenile sea turtles indicate that very different inferences regarding the pelagic ecology of these animals are obtained depending on the resolution of model output. We conclude that physical processes occurring at the scale of days and tens of kilometres should be preserved in ocean circulation model output to realistically depict the movement marine organisms and the resulting ecological and evolutionary processes.

摘要

海洋循环模型被广泛用于模拟开阔海域中的生物运输,而直接在广阔的时空尺度上追踪生物则面临着巨大的挑战。许多最近的研究都吹捧使用“高分辨率”模型,这些模型以数小时的时间尺度和数分钟或数秒的时间步长来强制使用大气数据。然而,在许多情况下,用于模拟生物运动的模型输出已经被平均到相当粗糙的分辨率(例如,每月平均速度场)。为了研究追踪结果对海洋循环模型输出分辨率的敏感性,我们采用了一种最先进的海洋循环模型,即全球混合坐标海洋模型的原始模型输出,并将其平均到在盆地尺度扩散研究中常用的空间和时间分辨率。模拟粒子轨迹和现场近表面漂流轨迹之间的比较表明,“过度平均”模型输出会导致与观测结果不一致的预测。进一步的分析集中在幼年海龟的扩散上,表明根据模型输出的分辨率,对这些动物的浮游生态学有非常不同的推断。我们得出的结论是,在海洋循环模型输出中应保留发生在数天和数十公里尺度上的物理过程,以真实地描绘海洋生物的运动以及由此产生的生态和进化过程。

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本文引用的文献

1
Dispersal of deep-sea larvae from the intra-American seas: simulations of trajectories using ocean models.
Integr Comp Biol. 2012 Oct;52(4):483-96. doi: 10.1093/icb/ics090. Epub 2012 Jun 4.
3
Orientation behavior in fish larvae: a missing piece to Hjort's critical period hypothesis.
J Theor Biol. 2012 Jul 7;304:188-96. doi: 10.1016/j.jtbi.2012.03.016. Epub 2012 Mar 27.
4
On the dispersal of leatherback turtle hatchlings from Mesoamerican nesting beaches.
Proc Biol Sci. 2012 Jun 22;279(1737):2391-5. doi: 10.1098/rspb.2011.2348. Epub 2012 Feb 29.
5
Lost at sea: genetic, oceanographic and meteorological evidence for storm-forced dispersal.
J R Soc Interface. 2012 Aug 7;9(73):1725-32. doi: 10.1098/rsif.2011.0788. Epub 2012 Feb 8.
6
Is the geographic distribution of nesting in the Kemp's ridley turtle shaped by the migratory needs of offspring?
Integr Comp Biol. 2010 Sep;50(3):305-14. doi: 10.1093/icb/icq041. Epub 2010 May 11.
7
Larval dispersal and marine population connectivity.
Ann Rev Mar Sci. 2009;1:443-66. doi: 10.1146/annurev.marine.010908.163757.
9
Sea turtle nesting distributions and oceanographic constraints on hatchling migration.
Proc Biol Sci. 2010 Dec 7;277(1700):3631-7. doi: 10.1098/rspb.2010.1088. Epub 2010 Jun 23.
10
Ontogenetic development of migration: Lagrangian drift trajectories suggest a new paradigm for sea turtles.
J R Soc Interface. 2010 Sep 6;7(50):1319-27. doi: 10.1098/rsif.2010.0009. Epub 2010 Mar 17.

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