Quantifying the impact of small boats on Posidonia seagrass meadows: Methods and path for future efficient management of anchoring pressure

IF 4.8 2区环境科学与生态学 Q1 OCEANOGRAPHY

Ocean & Coastal Management Pub Date : 2024-11-02 DOI:10.1016/j.ocecoaman.2024.107454

Thomas Bockel , Noémie Bossut , Nicolas Mouquet , David Mouillot , Quentin Fontaine , Julie Deter

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引用次数: 0

Abstract

Coastal ecosystems are exposed to anthropogenic pressures worldwide. Seagrasses are sensitive to human activities, especially through physical stress. Among them, boats induce many pressures including physical degradation through anchoring. Mapping the anchoring pressure of large boats (≥24 m) can be done with traditional methods but is still challenging for smaller boats. Thus, the impact of large boats on coastal ecosystems is better documented and more efficiently regulated in comparison with small ones.

Here, we characterize the pressure and the impact of boats anchoring on Posidonia oceanica seagrass beds through the proxy of three landscape indices and compare anchoring surveillance methods.

We show that small boats also have an impact on P. oceanica when anchoring.

AIS (Automatic identification System) and low resolution satellite imagery are poorly adapted to detect small boat anchoring.

High resolution satellite imagery is a very efficient tool suitable even for small boats detection, but is for now limited to targeted surveys due to its high costs.

We propose an automatic detection/localization tool adapted to multisource imagery and test it successfully on a case study in Corsica (France).

Overall our study provides key quantified elements for the design of future efficient surveillance and management of anchoring pressure.

查看原文本刊更多论文

量化小船对 Posidonia 海草草甸的影响：未来有效管理锚泊压力的方法和路径

全世界的沿海生态系统都面临着人为压力。海草对人类活动非常敏感，尤其是物理压力。其中，船只会造成许多压力，包括通过抛锚造成的物理退化。绘制大型船只（≥ 24 米）的锚泊压力图可以通过传统方法完成，但对于小型船只来说仍然具有挑战性。因此，与小型船只相比，大型船只对沿海生态系统的影响得到了更好的记录和更有效的监管。在这里，我们通过三种景观指数来描述船只锚泊对 Posidonia oceanica 海草床的压力和影响，并比较了锚泊监测方法。高分辨率卫星图像是一种非常有效的工具，甚至适用于小船检测，但由于其成本较高，目前仅限于有针对性的调查。我们提出了一种适用于多源图像的自动检测/定位工具，并在法国科西嘉岛的一个案例研究中成功进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ocean & Coastal Management 环境科学-海洋学

CiteScore

8.50

自引率

15.20%

发文量

321

审稿时长

60 days

期刊介绍： Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.