Benthic algal community composition across a watershed: coupling processes between land and water

Benthic algal community composition across a watershed: coupling processes between land and water
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跨流域的底栖藻类群落组成:土地和水之间的耦合过程

DOI:
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发表时间:
2016
期刊:
影响因子:
1.8
通讯作者:
Joshua T. Cooper
Joshua T. Cooper
中科院分区:
环境科学与生态学3区
文献类型:
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作者:
C. Atkinson;Joshua T. Cooper

文献摘要

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生态学的主要目标之一是了解非生物环境如何影响生态系统的生物特征。多尺度的各种过程相互作用,影响生物体所经历的物理和化学环境,最终影响群落组成。我们的目的是了解的过程中,控制底栖藻类群落组成的分水岭。我们调查了土地覆盖和物理化学变量对底栖藻类群落组成的影响。我们采样底栖藻类沿着多个栖息地和水化学参数在三个微栖息地在沿着的主干在东南部俄克拉荷马州的Kiamichi河。我们使用了底栖光可用性模型来评估到达流底部的光量。此外,我们进行了GIS分析的分水岭,以确定影响这些网站的土地覆盖。测量的几个流中站点规模变量(例如,电导率,pH值和冠层覆盖度)与流域内的位置和流域内的农业百分比密切相关。与流域的位置和土地覆盖相关的理化参数,然后被用来了解与藻类群落组成的联系。藻类的属组成是密切相关的光到达流的底部和电导率。我们的研究结果表明,层次结构的因素,决定物种组成,并显示不同的光制度的社区组成的依赖。
One of the main goals of ecology is to understand how the abiotic environment influences the biotic characteristics of the ecosystem. Various processes at multiple scales interact to affect the physical and chemical environments that are experienced by organisms, which ultimately influence community composition. We aimed to understand the processes that control benthic algae community composition within a watershed. We investigated the impact of both land cover and physiochemical variables on benthic algal community composition. We sampled benthic algae along with multiple habitat and water chemistry parameters within three microhabitats across eight sites along the mainstem of the Kiamichi River in southeastern Oklahoma. We used the benthic light availability model to assess the amount of light reaching the bottom of the stream. Additionally, we conducted a GIS analysis of the watershed to determine the land cover affecting each of these sites. Several of the in-stream site-scale variables that were measured (e.g., conductivity, pH and canopy cover) were strongly correlated with both position within the watershed and percent agriculture within the watershed. The physiochemical parameters that were correlated with watershed position and land cover were then used to understand the linkage with algae community composition. Algae genera composition was strongly correlated with both light reaching the bottom of the stream and conductivity. Our results suggest a hierarchy of factors that determine species composition and show the dependence of community composition on differing light regimes.