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Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques

机译:使用新型组合统计技术量化鱼类群落大小结构的异质性响应

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To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intricate dynamics within. The purpose of this study is to mathematically determine local and regional patterns of ecological change within an LME using empirical orthogonal functions (EOFs). After using EOFs to define regions with distinct patterns of change, a statistical model originating from control theory is applied (Nonlinear AutoRegressive Moving Average with eXogenous input - NARMAX) to assess potential drivers of change within these regions. We have selected spatial data sets (0.5 degrees latitudex1 degrees longitude) of fish abundance from North Sea fisheries research surveys (spanning 1980-2008) as well as of temperature, oxygen, net primary production and a fishing pressure proxy, to which we apply the EOF and NARMAX methods. Two regions showed significant changes since 1980: the central North Sea displayed a decrease in community size structure which the NARMAX model suggested was linked to changes in fishing; and the Norwegian trench region displayed an increase in community size structure which, as indicated by NARMAX results, was primarily linked to changes in sea-bottom temperature. These regions were compared to an area of no change along the eastern Scottish coast where the model determined the community size structure was most strongly associated to net primary production. This study highlights the multifaceted effects of environmental change and fishing pressures in different regions of the North Sea. Furthermore, by highlighting this spatial heterogeneity in community size structure change, important local spatial dynamics are often overlooked when the North Sea is considered as a broad-scale, homogeneous ecosystem (as normally is the case within the political Marine Strategy Framework Directive).
机译:为了了解生态系统的变化,必须确定研究它们的适当规模。大型海洋生态系统(LME)覆盖数千平方公里,是用于生态系统监控和评估的有用分类方案。但是,对LME进行平均可能会掩盖其中的复杂动态。这项研究的目的是使用经验正交函数(EOF)在数学上确定LME内局部和区域性的生态变化模式。在使用EOF定义具有不同变化模式的区域之后,应用源自控制理论的统计模型(带有外源输入的非线性自回归移动平均线-NARMAX)来评估这些区域内变化的潜在驱动因素。我们从北海渔业研究调查(跨度为1980-2008年)中选择了鱼类丰度的空间数据集(北纬0.5度x 1度)以及温度,氧气,净初级生产量和捕捞压力替代指标,我们将其应用于EOF和NARMAX方法。自1980年以来,有两个地区发生了重大变化:北海中部地区的群落规模结构有所减小,NARMAX模型认为这与捕鱼的变化有关; NARMAX结果表明,挪威海沟地区的群落规模结构有所增加,这主要与海底温度的变化有关。将这些区域与苏格兰东部沿海沿岸的不变区域进行了比较,该区域模型确定了社区规模结构与净初级生产最密切相关。这项研究强调了北海不同地区环境变化和捕鱼压力的多方面影响。此外,通过强调社区规模结构变化中的这种空间异质性,当将北海视为广泛的,同质的生态系统时(通常是政治海洋战略框架指令中的情况),经常会忽略重要的局部空间动态。

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