• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Oceanography and Marine Biology: An Annual Review >A REVIEW OF BIOPHYSICAL MODELS OF MARINE LARVAL DISPERSAL
【24h】

A REVIEW OF BIOPHYSICAL MODELS OF MARINE LARVAL DISPERSAL

机译：海洋幼虫分散的生物物理模型综述

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Larval dispersal is arguably the most important but least understood demographic process in the sea. The likelihood of a larva dispersing from its birthplace to successfully recruit in another location is the culmination of many intrinsic and extrinsic factors that operate in early life. Empirically estimating the resulting population connectivity has been immensely difficult because of the challenges of studying and quantifying dispersal in the sea. Consequently, most estimates are based on predictions from biophysical models. Although there is a long history of dispersal modelling, there has been no comprehensive review of this literature. We conducted a systematic quantitative review to address the following questions: (1) Is there any bias in the distribution of research effort based on geographical or taxonomic coverage? (2) Are hydrodynamic models resolving ocean circulation at spatial scales (resolution and extent) relevant to the dispersal process under study? (3) Where, when and how many particles are being tracked, and is this effort sufficient to capture the spatiotemporal variability in dispersal? (4) How is biological and/or behavioural complexity incorporated into Lagrangian particle tracking models. (i.e. are key attributes of the dispersal process well captured.)? Our review confirms strong taxonomic and geographic biases in published work to date. We found that computational 'effort' (i.e. model resolution and particle number) has not kept pace with dramatic increases in computer processor speed. We also identified a number of shortcomings in the incorporation of biology, and behaviour specifically into models. Collectively, these findings highlight some important gaps and key areas for improvement of biophysical models that aspire to inform larval dispersal processes. In particular, we suggest the need for greater emphasis on validation of model assumptions, as well as testing of dispersal predictions with empirically derived data.
机译：幼虫分散可以说是海中最重要但最不理解的人口统计过程。幼虫从其发源地分散到另一个地点的可能性是在早期生活中运作的许多内在和外在因素的高潮。经验估计所产生的人口连通性是非常困难的，因为在海中的研究和量化分散的挑战。因此，大多数估计基于生物物理模型的预测。虽然历史悠久的分散型造型，但对该文献没有全面审查。我们对解决以下问题进行了系统的定量审查：（1）基于地理或分类覆盖范围的研究努力分配有任何偏见吗？ （2）是否是解决与研究下的分散过程相关的空间尺度（分辨率和范围）的海洋循环的流体动力学模型？ （3）在哪里，何时，何时以及粒子被跟踪，并且这种努力足以捕获分散的时空变异性？ （4）如何纳入拉格朗日粒子跟踪模型的生物和/或行为复杂性。 （即是捕获的分散过程的关键属性。）？我们的评论确认发布工作中的强大分类和地理偏见。我们发现计算的“努力”（即模型分辨率和粒子数）并未跟上计算机处理器速度的显着增加。我们还确定了在生物学纳入生物学中的许多缺点，以及专门进入模型的行为。总的来说，这些发现突出了一些重要的差距和改善生物物理模型的关键领域，渴望通知幼虫分散过程。特别是，我们建议需要更加强调模型假设的验证，以及使用经验衍生数据的分散预测的测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号