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首页> 外文期刊>Aquatic Sciences >Improved prediction of vegetation composition in NW European softwater lakes by combining location, water and sediment chemistry
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Improved prediction of vegetation composition in NW European softwater lakes by combining location, water and sediment chemistry

机译：结合位置，水和沉积物化学对欧洲西北部软水湖植被组成的预测

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摘要

Isoetids, as indicators of near-pristine softwater lakes, have a high priority in national and international (European Water Directive Framework) assessments of ecological lake quality. Our main goal was to identify the most important environmental factors that influence the composition of plant communities and specifically deter mine the presence and abundance of the isoetid Lobelia dortmanna in NW European softwater lakes. Geographical position and composition of surface water, porewater, sediment and plant communities were examined in 39 lakes in four regions (The Netherlands, Denmark, West Norway and East Norway) distributed over a 1,200-km long dis tance. We confirmed that lake location was accompanied by significant changes in environmental variables between NW European lakes. Lake location was the single most important determinant of vegetation composition and it had significant individual contributions independent of the coupling to environmental variables. This influence of location was supported by a significant decline of com munity similarity with geographical distance between pairs of lakes at regional, inter-regional and international scales. Combining the geographical position with environmental variables for surface water, porewater and sediment sig nificantly improved prediction of vegetation composition. Specifically, the combination of latitude, surface water alkalinity, porewater phosphate and redox potential offered the highest correlation (BIO ENV correlation 0.66) to vegetation composition. This complex analysis can also account for high sediment variability in the littoral zone of individual lakes, by using site-specific physico-chemical sediment factors, and offer better predictions of vegetation composition when lake water chemistry is relatively homogeneous among lakes within regions.
机译：作为近乎原始的软水湖的指标，同位素在国家和国际（欧洲水指令框架）对生态湖质量的评估中具有很高的优先级。我们的主要目标是确定影响植物群落组成的最重要的环境因素，尤其是确定欧洲西北部软水湖泊中等腰果黄连的存在和丰度。在分布于1200公里长距离的四个地区（荷兰，丹麦，西挪威和东挪威）的39个湖泊中，研究了地表水，孔隙水，沉积物和植物群落的地理位置和组成。我们确认，湖泊位置伴随着欧洲西北湖泊之间环境变量的显着变化。湖泊的位置是决定植被组成的最重要的因素，它具有显着的个体贡献，而与环境变量的耦合无关。社区相似度随着区域，区域间和国际范围内的成对湖泊之间地理距离的显着下降而得到支持，从而支持了这种位置的影响。将地理位置与地表水，孔隙水和沉积物的环境变量相结合，可显着改善植被组成的预测。具体而言，纬度，地表水碱度，孔隙水磷酸盐和氧化还原电势的组合与植被组成具有最高的相关性（BIO ENV相关性0.66）。通过使用特定于现场的理化沉积因子，这种复杂的分析还可以解释各个湖泊沿岸带的高沉积物变化性，并且当区域内各湖之间的湖水化学相对均一时，可以更好地预测植被组成。

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  • 来源
    《Aquatic Sciences》 |2012年第2期|p.351-360|共10页
  • 作者

    Cristina Pulido; Kaj Sand-Jensen; Esther C. H. E. T. Lucassen; Jan G. M. Roelofs; Klaus P. Brodersen; Ole Pedersen;

  • 作者单位

    Freshwater Biological Laboratory, Department of Biology,University of Copenhagen, Helsingorsgade 51,3400 Hiller0d, Denmark;

    Freshwater Biological Laboratory, Department of Biology,University of Copenhagen, Helsingorsgade 51,3400 Hiller0d, Denmark;

    B-WARE Research Centre, Radboud University Nijmegen,Toernooiveld 1, 6525 ED Nijmegen, The Netherlands;

    Department of Aquatic Ecology and Environmental Biology,Institute for Water and Wetland Research, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands;

    Freshwater Biological Laboratory, Department of Biology,University of Copenhagen, Helsingorsgade 51,3400 Hiller0d, Denmark;

    Freshwater Biological Laboratory, Department of Biology,University of Copenhagen, Helsingorsgade 51,3400 Hiller0d, Denmark;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    softwater lakes; isoetids; latitude; alkalinity; phosphate; redox potential; porewater; surface water; sediment mineralisation;

    机译：软水湖泊;同位素纬度;碱度磷酸盐氧化还原电位孔隙水地表水;沉积物矿化;

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