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首页> 外文期刊>Estuaries and coasts >Benthic Macrophyte Distribution and Abundance in Estuarine Mangrove Lakes and Estuaries: Relationships to Environmental Variables
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Benthic Macrophyte Distribution and Abundance in Estuarine Mangrove Lakes and Estuaries: Relationships to Environmental Variables

机译:河口红树林湖泊和河口底栖大型植物的分布和丰度:与环境变量的关系

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摘要

Annual mean salinity, light availability, and sediment depth to bedrock structured the submerged aquatic vegetation (SAV) communities in subtropical mangrove-lined estuaries. Three distinct SAV communities (i. e., Chara group, Halodule group, and Low SAV coverage group) were identified along the Everglades-Florida Bay ecotone and related to water quality using a discriminant function model that predicted the type of plant community at a given site from salinity, light availability, and sediment depth to bedrock. Mean salinity alone was able to correctly classify 78% of the sites and reliably separated the Chara group from the Halodule group. The addition of light availability and sediment depth to bedrock increased model accuracy to 90% and further distinguished the Chara group from the Halodule group. Light availability was uniquely valuable in separating the Chara group from the Low SAV coverage group. Regression analyses identified significant relationships between phosphorus concentration, phytoplankton abundance, and light availability and suggest that a decline in water transparency, associated with increasing salinity, may have also contributed to the historical decline of Chara communities in the region. This investigation applies relationships between environmental variables and SAV distribution and provides a case study into the application of these general principals to ecosystem management.
机译:亚热带红树林内衬河口的年平均盐度,光能利用率和基岩的沉积深度构成了淹没水生植物(SAV)群落。在Everglades-Florida Bay过渡带上确定了三个不同的SAV群落(即,Chara组,Halodule组和低SAV覆盖率组),并使用判别函数模型预测了特定站点的植物群落类型,该判别函数模型与水质相关。盐度,可利用的光度和沉积物到基岩的深度。仅平均盐度就能够正确分类78%的位点,并将Chara组与Halodule组可靠地分开。基岩中增加了光的可用性和沉积物深度,将模型的准确性提高到90%,并进一步将Chara组与Halodule组区分开。光的可用性对于将Chara组与低SAV覆盖组分开是非常有价值的。回归分析确定了磷浓度,浮游植物丰度与光能利用率之间的显着关系,并表明与盐分增加相关的水透明度下降可能也导致了该地区Chara群落的历史下降。这项研究应用了环境变量和SAV分布之间的关系,并提供了将这些一般原理应用于生态系统管理的案例研究。

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