...
首页> 外文期刊>Proceedings of the Royal Society of London. Biological sciences >Linking species abundance distributions in numerical abundance and biomass through simple assumptions about community structure.
【24h】

Linking species abundance distributions in numerical abundance and biomass through simple assumptions about community structure.

机译:通过关于群落结构的简单假设,将物种的丰度分布在数字丰度和生物量之间联系起来。

获取原文
获取原文并翻译 | 示例
           

摘要

Species abundance distributions (SADs) are widely used as a tool for summarizing ecological communities but may have different shapes, depending on the currency used to measure species importance. We develop a simple plotting method that links SADs in the alternative currencies of numerical abundance and biomass and is underpinned by testable predictions about how organisms occupy physical space. When log numerical abundance is plotted against log biomass, the species lie within an approximately triangular region. Simple energetic and sampling constraints explain the triangular form. The dispersion of species within this triangle is the key to understanding why SADs of numerical abundance and biomass can differ. Given regular or random species dispersion, we can predict the shape of the SAD for both currencies under a variety of sampling regimes. We argue that this dispersion pattern will lie between regular and random for the following reasons. First, regular dispersion patterns will result if communities are comprised groups of organisms that use different components of the physical space (e.g. open water, the sea bed surface or rock crevices in a marine fish assemblage), and if the abundance of species in each of these spatial guilds is linked to the way individuals of varying size use the habitat. Second, temporal variation in abundance and sampling error will tend to randomize this regular pattern. Data from two intensively studied marine ecosystems offer empirical support for these predictions. Our approach also has application in environmental monitoring and the recognition of anthropogenic disturbance, which may change the shape of the triangular region by, for example, the loss of large body size top predators that occur at low abundance.
机译:物种丰富度分布(SADs)被广泛用作汇总生态群落的工具,但根据用于衡量物种重要性的货币,其形状可能有所不同。我们开发了一种简单的绘图方法,该方法将SAD与数字丰富度和生物量的替代货币联系起来,并以关于有机物如何占据物理空间的可测预测为基础。当将对数数值丰度相对于对数生物量作图时,物种位于大约三角形区域内。简单的能量和采样约束解释了三角形形式。物种在此三角形内的分散是理解为什么数量丰富的SAD和生物量可能不同的关键。给定规则的或随机的物种分散,我们可以在各种抽样制度下预测两种货币的SAD形状。我们认为,由于以下原因,这种分散模式将介于常规和随机之间。首先,如果社区是由使用物理空间不同组成部分的生物组成的群体(例如,开放水,海床表面或海鱼集合中的岩石缝隙),并且每个物种中的物种丰富,则将导致规则的扩散模式。这些空间行会与大小不一的个人使用栖息地的方式有关。其次,丰度和采样误差的时间变化将倾向于使这种规则模式随机化。来自两个深入研究的海洋生态系统的数据为这些预测提供了经验支持。我们的方法还可以应用于环境监测和人为干扰的识别中,这些干扰可能会通过例如丢失低丰度的大号大型掠食性动物而改变三角形区域的形状。

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