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Determining bathymetric distributions of the eelgrass Zostera marina L. in three turbid estuaries on the eastern North Pacific coast

机译:确定北太平洋东部东部三个浑浊河口中的鳗草Zostera marina L.的测深分布

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摘要

Improved methods for determining bathymetric distributions of dominant intertidal plants throughout their estuarine ranges are needed. Eelgrass (Zostera marina) is a seagrass native to estuaries of the northeastern Pacific and many other marine regions of the northern hemisphere. The techniques described here employed large-format aerial photography using false color near-infrared film with digital image classification, and the production of digital bathymetric models of shallow estuaries, such as those occurring in turbid waters of the United States Pacific Northwest. Application of geographic information system procedures to Z. marina classifications and estuarine bathymetries yielded intertidal eelgrass bathymetric distributions based on a very large number of data points. Similar bathymetric patterns were obtained for the three estuaries surveyed, and approximately 90% of the classified Z. marina occurred within the depth range -1.0 m to +1.0 m (mean lower low water). Comparison of these depth distributions with ground surveys of Z. marina lower depth limits indicated that the area of undetected subtidal eelgrass constituted <10% of the areal distributions classified (with >= 86% overall accuracy) in each estuary. Zostera marina areal distribution in one estuary was distinctly different from those in the other two systems, which illustrated the potential usefulness of this technique in exploring causal factors for such differences in areal distributions of estuarine intertidal vegetation.
机译:需要改进的方法来确定潮间带优势植物在河口范围内的等深线分布。 Eelgrass(Zostera marina)是一种海草,原产于东北太平洋和北半球许多其他海域的河口。此处介绍的技术采用了带有伪造的近红外胶片和数字图像分类的大幅面航空摄影,以及浅河口(例如发生在美国西北太平洋的混浊水中的河口)的数字测深模型的产生。将地理信息系统程序应用于Z. marina分类和河口测深仪,可以基于大量数据点生成潮间带鳗草测深仪分布。对于所调查的三个河口,获得了相似的测深模式,大约90%的分类Z. marina发生在-1.0 m至+1.0 m的深度范围内(平均较低的低水位)。这些深度分布与滨海鲈的深度调查的地面调查结果比较表明,未发现的潮间带鳗草面积构成每个河口分类的面积分布的<10%(总体精度≥86%)。一个河口的滨海带状海带的区域分布与其他两个系统明显不同,这说明了该技术在探索造成河口潮间带植被区域分布差异的因果关系方面的潜在有用性。

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