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沙 (Hyperoplus lanceolatus) 的空间分布以及对监测海洋保护区的影响

Robert Mzungu Runya¹, Chris McGonigle¹, Rory Quinn¹

¹School of Geography & Environmental Sciences, Ulster University, Cromore Rd, BT52 1SA, Co. Derry, Northern Ireland, UK.

Marine environmental research

|August 27, 2024

概括

这项研究使用声学数据和浴度学预测了沙 (Hyperoplus lanceolatus) 的密度. 低频声学模型在保护区绘制这些脆弱的海洋物种的地图方面被证明更有效.

科学领域:

海洋生态海洋生态学
盆地息地绘制地图息地绘制地图
渔业科学渔业科学

背景情况:

人类活动威胁到海洋生物多样性和生态系统服务,特别是在浅架海域.
准确地绘制海底息地和脆弱物种的地图对于保护至关重要.
了解物种息地关系有助于有效的海洋空间规划.

研究的目的:

开发和验证一个工作流程,以使用声学和浴度数据来预测砂密度.
为了比较单频与多频声学模型对沙分布的预测性能.
支持在海洋保护区设计监测计划.

主要方法:

使用多频率 (95,300 kHz) 背散数据进行无监督的K-Means分类.
通用线性模型包括浴度和斜率数据.
使用根平均二次误差 (RMSE) 与地面验证的砂密度进行模型性能比较.

主要成果:

在K-Means集群和地面验证的沙密度之间发现了很高的一致性.
单频声学模型的预测准确度高于多频模型的预测准确度,对 (Hyperoplus lanceolatus).
桑德尔分布与沉积环境密切相关,低频声学更好地捕捉到.

结论:

开发的工作流程有效地预测了沙密度,并确定了主要的息地特征.
低频声学数据对于绘制砂息地的地图至关重要,因为它们与沉积物环境的亲和力.
数据处理和分析中的方法选择显著影响物种分布模型输出和谷底地图绘制.

关键词:

保护保护保护保护 K-表示集群.管理管理管理管理海洋保护区海洋保护区多频反射散射器多频反射散射器种类种类种类没有监督的分类.

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