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Nearshore Aquatic Habitat Monitoring: A Seabed Imaging and Mapping Approach

机译:近岸水生境监测:海床成像和制图方法

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The density of human populations in nearshore areas is more than three times the global average and is one example of why monitoring sensitive nearshore environments is essential. In this paper we outline a method for map-based monitoring of nearshore flora and epifauna using the seabed imaging and mapping system (SIMS) and geographic analysis. This system uses underwater video and sidescan sonar to systematically inventory and classify nearshore habitats. Species presence and abundance were mapped in 2006 and 2009 for a coastal area of British Columbia, Canada, and represented in a geographic information system (GIS). Spatial statistics were applied to maps of change in species abundance, and hot spots of floral and epifaunal change were identified. While minimal overall change within species groups occurs over 3 years, local areas of significant change were found near the marina entrance and the Washington State ferry terminal, where marine boat traffic may be affecting vegetation. The use of spatial statistics with this method reduces the effects of seasonal variability, minimizes impact of data errors, and identifies statistically significant hot spots of change. We have also demonstrated that SIMS generates suitable data for change detection and monitoring.
机译:近岸地区的人口密度是全球平均水平的三倍以上,这是为什么监测敏感的近岸环境至关重要的一个例子。在本文中,我们概述了一种使用海床成像和制图系统(SIMS)和地理分析对近岸植物和动物群落进行基于地图的监视的方法。该系统使用水下视频和侧扫声纳系统地清点和分类近岸生境。在2006年和2009年绘制了加拿大不列颠哥伦比亚省沿海地区的物种存在和丰度图,并在地理信息系统(GIS)中进行了表示。将空间统计数据应用于物种丰度变化图,并确定花卉和表生真菌变化的热点。虽然物种组内的总体变化在3年内几乎没有发生,但在码头入口和华盛顿州渡轮码头附近发现了发生重大变化的局部区域,那里的海上船只运输可能会影响植被。通过这种方法使用空间统计数据可以减少季节性变化的影响,最大程度地减少数据错误的影响,并确定统计上重要的变化热点。我们还证明了SIMS可以生成用于更改检测和监视的合适数据。

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