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首页> 外文期刊>Limnologica >Do benthic algae provide important information over and above that provided by macrophytes and phytoplankton in lake status assessment? - Results from a case study in Norway
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Do benthic algae provide important information over and above that provided by macrophytes and phytoplankton in lake status assessment? - Results from a case study in Norway

机译:Benthic藻类是否提供了超过及以上的重要信息由湖状况评估中的宏观物质和浮游植物提供? - 挪威案例研究结果

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摘要

To test if phytobenthic algae provide additional important information to macrophytes and phytoplankton for lake monitoring, we sampled two large lakes in Norway. In each lake, we analyzed water chemistry and phytoplankton above the deepest site, recorded macrophytes and non-diatom phytobenthic algae at 20 sites around the shoreline and estimated site-specific nutrient input from land cover. Since no ready-to-use phytobenthos index exists for lakes in Norway, we tested the PIT index developed for rivers, commonly perceived signs of disturbance such as high algal cover, and taxon richness as well as similarity patterns. Both lakes were nutrient poor, but had potential local nutrient inputs (villages, agriculture). In neither of the lakes did phytobenthos indicate a worse overall ecological status than macrophytes and phytoplankton. Our data therefore, did not suggest that it would be useful to add phytobenthos into surveillance monitoring of lakes in Norway. There was a loose correlation between macrophyte and phytobenthic site-specific taxon richness and similarities. This means that macrophytes and phytobenthos do indeed give partly redundant information. High algal cover was found at sites with both high and low phosphorus input. Using algal cover as indicator of site-specific nutrient input is therefore overly simplistic. Urban and cultivated areas were associated with a more eutrophic PIT. This indicates that the PIT, despite being developed for lotic waters, may be used to detect site specific nutrient input in lakes.
机译:为了测试植物藻类藻类为巨乳和湖泊监测提供额外的重要信息,我们在挪威进行了两大湖。在每个湖泊中,我们在覆盖海岸线周围的20个地点,在20位点分析了水化学和浮游植物,记录了宏观物质和非硅藻植物植物的植物。由于在挪威湖泊中没有现成的PhytobentHOS指数存在,我们测试了为河流开发的坑指数,通常感知的干扰迹象,如高藻类覆盖,以及分类富裕性以及相似性模式。湖泊都营养差,但有潜在的本地营养投入(村庄,农业)。湖泊中都没有植物表明较差的整体生态状态比宏观物质和浮游植物。因此,我们的数据并没有表明将Phytobenthos添加到挪威湖泊的监测中是有用的。宏观物质和植物植物特定地位的分类素质和相似性之间存在松散相关性。这意味着宏观形状和植物植物确实确实提供了部分冗余信息。在具有高和低磷输入的位点发现高藻盖。因此,使用藻类盖作为现场特异性营养输入的指示器非常简单。城市和耕地区域与更富营养的坑有关。这表明坑尽管正在为大麸水开发,可用于检测湖泊中的网站特定营养输入。

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