Highlighting broad-scale morphometric diversity of the seabed using geomorphons

IF 2 4区 地球科学 Q1 GEOLOGY Geus Bulletin Pub Date : 2023-09-06 DOI:10.34194/geusb.v52.8337
Margaret Dolan, Lilja Rún Bjarnadóttir
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Abstract

Morphometric diversity is an important component of overall seabed geodiversity. Automated methods for classification of morphometric features (ridges, peaks, valleys etc.) provide a convenient way of classifying large volumes of data in a consistent and repeatable way and a basis for assessing morphometric diversity. Here, we apply ‘geomorphons’, a pattern recognition approach to morphometric feature classification, to 100 m resolution multibeam bathymetry data in the Barents and Norwegian Seas, Norway. The study area spans depths from a few metres to nearly 6000 m across several geological settings. Ten unique morphometric features are delineated by the geomorphon analysis. From these results, we compute the variety of features per 10 km2. This simple ‘geomorphon richness’ measure highlights broad-scale morphometric diversity across the study area. We compare the richness results with terrain attributes and across physiographic regions. Our results provide new regional insights, which together with more detailed information will help guide follow-up surveys as well as identifying diversity hotspots, which may require special management.
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利用地貌学突出海底大尺度的形态多样性
形态多样性是海底地质多样性的重要组成部分。形态学特征(脊、峰、谷等)的自动分类方法提供了一种方便的方法,以一致和可重复的方式对大量数据进行分类,并为评估形态学多样性奠定了基础。在这里,我们将“地貌学”(一种形态特征分类的模式识别方法)应用于挪威巴伦支海和挪威海的100米分辨率多波束测深数据。研究区域的深度从几米到近6000米,跨越了几个地质环境。通过地貌学分析,描绘了十个独特的形态特征。根据这些结果,我们计算每10平方公里的特征的多样性。这种简单的“地貌丰富度”测量强调了整个研究区域的大尺度形态多样性。我们比较了不同地形属性和不同地理区域的丰富度结果。我们的研究结果提供了新的区域视角,与更详细的信息一起,将有助于指导后续调查以及识别可能需要特殊管理的多样性热点。
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来源期刊
Geus Bulletin
Geus Bulletin GEOLOGY-
CiteScore
2.80
自引率
17.60%
发文量
8
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