...
首页> 外文期刊>Marine ecology progress series >Scales of spatial variation in Mediterranean subtidal sessile assemblages at different depths
【24h】

Scales of spatial variation in Mediterranean subtidal sessile assemblages at different depths

机译:地中海潮下无柄组合在不同深度的空间变化尺度

获取原文
   

获取外文期刊封面封底 >>

       

摘要

ABSTRACT: Analyses of spatial patterns of distribution of populations and assemblages along environmental gradients are common in marine ecology. How these patterns vary at different spatial scales has seldom been examined, despite the fact that patterns in nature are intrinsically scale-dependent. This study quantified variability in subtidal assemblages at a hierarchy of spatial scales along a depth gradient, using several univariate and multivariate techniques. Despite variation in the sizes of depth effects in time and space, there were large, significant and generally characterisable differences in the structure of assemblages at different depths. The sizes of multivariate and univariate components of variation at different spatial scales were compared at each of 3 different depths (5, 15 and 25 m), using a bias-corrected bootstrapping approach. The sizes of variance components at different spatial scales varied with depth and choice of transformation. In all cases, the largest component of variation was at the smallest scale (tens of centimeters). A pattern of decreasing residual variance with depth was seen for untransformed data, while a pattern of increasing residual variance with depth was seen for presence/absence data. In contrast, variation among locations (separated by 1 km) and among sites (separated by hundreds of metres) was largest at intermediate depths (~15 m), regardless of the transformation used. The multivariate procedures used here offer several advantages over previously used techniques, providing suitable quantitative methods for analysing, at multiple scales, the patchy and complex nature of rocky subtidal assemblages.
机译:摘要:在海洋生态学中,分析沿环境梯度分布的种群和组合的空间分布模式很普遍。尽管自然界的模式本质上与尺度有关,但很少研究这些模式如何在不同的空间尺度上变化。这项研究使用几种单变量和多变量技术,对沿深度梯度的空间尺度层次上的潮汐组合下的变化进行了量化。尽管在时间和空间上深度影响的大小有所变化,但在不同深度的组合结构仍存在较大,显着且通常具有特征性的差异。使用偏差校正的自举方法,在3个不同的深度(5、15和25 m)中的每个深度处,比较了不同空间尺度上的多元变量和单变量变量的大小。不同空间尺度上方差分量的大小随深度和变换选择而变化。在所有情况下,变化的最大组成部分是最小的比例尺(几十厘米)。对于未转换的数据,可以看到随着深度而减少的残留方差的模式,而对于存在/不存在的数据,可以看到随着深度的残留方差的增加的模式。相反,在中间深度(〜15 m)处,位置之间(相距> 1 km)和站点之间(相距数百米)的变化最大,而与所使用的转换无关。与以前使用的技术相比,这里使用的多变量程序具有多个优点,提供了用于定量分析岩石潮下组合的斑驳和复杂性质的合适定量方法。

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